17 Best Free Speech to Text Software for Windows, Android, iOS And Mac

Best Free Speech to Text Software for Android, Windows and iOS

Muhammad Imran


March 8th, 2021


In the workplace, efficiency is crucial for success. The quicker you can produce results, the more you can focus on improving the more strategic aspects of your work. However, physically transcribing audio recordings, personal notes, verbal brainstorming ideas, and other documents is a tedious and time-consuming task that severely impacts the level of brainpower you can apply to other activities. Fortunately, there exists technology by the name of speech to text software. It allows you to type without your hands and use your voice to create documents. In this article, we discuss the best speech to text software available today in various categories of machine learning solutions.

5 Best Free Speech to Text Software List

Here is the list of our top five picks for the best free speech to text applications available on the internet.

1) Converse Smartly

We included Converse Smartly in this list of the best free speech to text software because of its powerful and robust technology. It can quickly and accurately convert any audio stream to text including dialogue or discourse from team meetings, conferences, interviews and seminars. It enables organisations and individuals to work faster and smarter with greater accuracy.

Created by Folio3, the primary aim behind Converse Smartly is to increase the workflow efficiency of any organisation. The app uses advanced speech recognition technology based on the IBM Watson Speech API and the Natural Language Processing ToolKit and is one of the best text to speech software with natural voices. Top features include:

- Speech Analysis

- Text Analysis

- Summary Generation

- Perform sentiment analysis

- Generate word cloud from input speech and writing

- Identify key entities and themes during speech or conversation

- Live Audio Transcription

- Detect multiple speakers

- Spot keywords

Compatibility: Any device with an internet connection, browser and internet connection

Price: Free trial version

Demo Link:

2) Microsoft Dictate

Microsoft's Dictate is here to prove that the even best text to speech software can be free and be just as good as premium software. Created by Microsoft Garage (a division of the company where employees get to work on their ideas as projects), this feature-rich application boasts the same advanced speech recognition technology that powers the Microsoft Cortana Virtual Assistant.

Best Speech to text software

Dictate is essentially a Microsoft Office add-on and works well with Word, PowerPoint and Outlook. You can install it from the Microsoft store if you don’t already have it pre-installed with a copy of Microsoft 365. Once installed, you can access it through the "Dictation" tab that shows up in the top right of the Ribbon toolbar. The app supports voice commands for most standard operations such as typing or editing text, moving the cursor to a new line and adding punctuations either manually or automatically.

Furthermore, the app offers features such as visual feedback to specify that it is processing speech input. Microsoft dictates also supports dictation with real-time translation 60 different languages. Microsoft Dictate is compatible with Office versions 2013 and above and works well with Windows versions 8.1 and above.

Apps Compatibility: Windows devices only

Price: Free

Download Link:


3) Google Docs Voice Typing

Google Docs has now become an integral part of the lives of most content writers. Especially if already a google services user. So if you use Google products such as Gmail and Google Drive, and need an in-built, powerful, yet free dictation tool, consider using Google Docs or Google Slides and make use of their Google’s Voice Typing tool. It enables you to type with your voice and make use of over 100 view commands meant explicitly for editing and formatting your documents in any way you like. Including making bullet points, changing the style of the text, and moving the cursor to different parts of the material.

To use Voice Typing through Google Docs, all you have to do is click on the “Tools” button and then select “Voice Typing” then allow Google access to your laptop or PC’s microphone.


Compatibility: Any Google Chrome compatible device

Price: Free

Download Link:

4) Otter

Otter can be used for taking notes and as a collaboration app that records and transcribes any audio source as long as the speech is coherent. Common data sources include meetings, interview and other voice interactions with data processing in real-time. Created by AISense, Otter uses Ambient Voice Intelligence for some of the smartest and most accurate speech recognition tools out there. Transcriptions are available within minutes so you can share them with your team almost immediately.

Compatibility: Android and iOS

Price: Free 600 minutes/month; $9.99 for 6,000 minutes/month

Get it from:


5) Speechnotes

Based on the Google speech-recognition engine, Speechnotes is a straight forward online tool for dictations and speech transcription. Since downloads, registrations or installations are unnecessary to use Speechnotes, so it is by far one of the more accessible dictation tools available on the internet.

Speechnotes is incredibly user-friendly too -- it automatically capitalises the beginning of your sentence, AutoSaves your documents, and has the option for you to dictate and type all at the same time. You’re your work is complete; you can manage your documents in a multitude of ways. You can either send it out through email, print and file it, export it to Google Drive, or download the files onto your computer.

Compatibility: Any device with Google Chrome installed and a microphone

Price: Free with an option to donate and upgrade to premium

Download Link:

5 Speech to Text Software Free Download for Windows 10

6) Window’s Speech Recognition (WSR):

Window’s Speech Recognition (WSR) is a good software for speech recognition, especially because it is specifically designed to work with Windows, and works best in its newest update with Windows 10. Most people reviewed it as good, not great, but also claimed that it is at par with Google Docs Voice Typing (GDVT) and is a Windows version of the same level.

The advantages specific to WSR are that it has computer automation and related features, because it is especially integrated into and designed for the Windows operating system, it has complete control over the computer and its features, like sleep or shutdown options, etc. In addition, it gives the user text editing options, whereby any mistakes can be there and then corrected.

Though, some downsides include the fact that it is not the most accurate voice recognition software available in the market, as its accuracy is on the weaker side, and it cannot be freely used with other operating systems is need be for a change.

Its unique selling point would be the fact that it can control the whole computer through the software options, and can edit as you go. It is also free of cost, without additional charges, and works fine with Windows 10.

7) Temi

Temi is a tool used for speech to text transcription, and is a highly advanced version of speech recognition software. It works when you upload any kind of file, be it audio or video, and it transcribes it in under five minutes. Eventually, the files can be stored in MS Word or PDF formats that especially belong to Windows, and can even be emailed.

This transcription tool gives ease of use to its users, who are effortlessly able to adjust the sound, speed of playback, skip any part if need be, and add timestamps too.

However, the quality of the transcription depends on the sound quality of the uploaded file, and the better the sound quality, the more accurate the results. Additionally, if files are too large, it may take a lot of time to transcribe, and crosses the five minute set benchmark. It also has a little difficulty understanding multiple different accents.

A unique point of Temi is that it has been built by speech recognition experts who are also masters of machine learning. There is a little cost attached if there is need of the whole software, though, multiple shorter trial versions are available for free. Journalists, bloggers and podcasters or authors can best use this tool for their field of work.

8) Microsoft Bing Speech API

This Microsoft API is used for transcription purposes of the speech into text of any kind of audio streams that are fed to it. What this application does it, that it either displays whatever the transcribed text is, or it can follow and act upon the command given in the speech. It is best used in scenarios requiring conversion, dictation or an interactive participation, and gives great recognition results.

There are two important features to it: the REST APIs, where developers can use calls, HTTP format and use the service. Or else, there are Client Libraries also available for downloading, that belong to various platforms such as Windows, iOS, Android, etc. for any kind of integration.

It has great accuracy, is highly easy to use, and not very expensive, with a free trial version also available to check it before making a minimal purchase. One of its major advantages is that it supports multiple languages, for example, about 5 languages in conversation mode and 15 languages when it comes into dictation mode, so multilingual transcription is also possible.

Though, it gives the most accurate results when used in a continuous and real-time form, and may be slower in transcribing than other software.

9) Kaldi

Kaldi is a free speech-to-text software for Windows and Linux operating systems and available under the Apache License. The software was developed at John Hopkins University and was meant to offer super high-quality speech recognition solutions for multiple languages and domains.

It’s one of the few speech recognition software that is fully supported by leading technologies including deep neural networks and others. Kaldi comes with full support for general linear algebra, as well as, offers an extensible design for features-space discriminative training.

The code of the software was released back in 2014 and since then the platform is known for its intuitive interface and highest-quality standard for speech to text conversion.

10) Simon

Simon is a technologically advanced and highly flexible speech recognition software, available for Windows and Linux free of cost. The software offers high-level customization for all applications, thus can be used with all systems wherever speech recognition is required. What’s even better is that Simon isn’t bounded by any language, and can work with high accuracy with all major dialects. The software essentially brings in the automation to replace the mouse and keyboard.

The technology behind Simon includes KDE libraries, along with HTK, and CMU SPHINX. The software is available open-source and free of cost for Windows and Linux operating systems. Apart from being a speech recognition software, Simon also allows controlling computers through voice commands. The software is equally suited for disabled people. The strong architecture behind Simon means it can easily be used with all languages and dialects. Simon can be used to control various software and applications including media centers, emails, web browsers, etc.


3 Best Free and Paid Speech to Text Software for Windows in 2020

11) Dragon Professional Individual

Dragon by far the gold standard when it comes to speech recognition software even today. Filled with several features and extensive customisation capabilities, Dragon Professional Individual is without question the best speech to text software available in the industry. Using deep learning technology allows the program to adapt to the user’s voice and environmental variations in real-time. Dragon automatically adds frequently used words and phrases to an internal repository to minimise the number of corrections.

Furthermore, using the Smart Format Rules, users can easily configure how they want specific items (e.g. dates, phone numbers) to appear. Dragon Professional Individual's advanced personalisation features allow for maximum flexibility coupled with efficiency and productivity. You can also import or export custom lists for words, acronyms and various business-specific terms. If that was not enough, you could even configure custom voice commands to do the actions you do most often. Or quickly inserting frequently used content (e.g. text, graphics) in documents, and even create time-saving macros to automate multi-step tasks with simple voice commands.

Compatibility: Any device with windows version 7 and up.

Price: $300

Download Link:


12) Windows Dictation

If you would like a reliable speech to text software for Windows 10, you don't even need to look elsewhere, as Microsoft's newest OS already comes with one. The new and improved dictation feature lets you capture all your thoughts and ideas using only your voice both quickly and accurately. Furthermore, due to the deep integration between the app and Windows, Dictation works seamlessly with just about any text field in Windows 10. To start using the app, select a text field and press the "Windows + H" keys in combination to launch the dictation toolbar.

To insert any particular letter, number, punctuation mark, and symbols by just saying their names (e.g. to enter $, say "dollar symbol" or "dollar sign"). Dictation also supports numerous voice commands that allow you to select/edit text, move the cursor to a specified location, and more. However, Dragon is not available in any language besides U.S. English, and you require an internet connection.

Compatibility: Any devices with Windows version 8.1 and up

Price: Free

Get it from Windows or visit: for more details


13) Briana Pro

Braina Pro is a personal virtual assistant with artificial intelligence as its backbone. The app can process over 100 languages and can automate various computer tasks, set alarms and reminders. Furthermore, Briana Pro can also serve as a dictionary and thesaurus with text to speech options as well.

Compatibility: Any devices with Windows installed and a microphone

Price: $239

Download Link:


2 Best Free Trial Speech to Text Apps for Android

14) Gboard Voice Typing

Of the many keyboard apps available for Android, Gboard is arguably the most popular and is one of the best free text to speech software available. Google's keyboard comes with several attractive features, such as glide typing and one-handed mode. But aside from these, it also boasts robust speech recognition capabilities. You can use your voice for anything and everything from writing emails to responding to text messages. Gboard's Voice Typing works with any Android app that accepts text input. To use the feature, all you have to do is tap the microphone icon (located at the right side of Gboard's suggestion strip), and start dictating when "Speak now" is displayed.

Any errors in the transcribed text can be manually corrected. You can also use Gboard's Voice Typing functionality to replace words in any document or message. For this, select the target word, and tap the microphone icon. Once "Speak now" is displayed, say the new word to have it replace the existing word. Gboard supports dictation in multiple languages and offers offline use as well.

Compatibility: Any Android device

Price: Free

Download Link:


15) Dragon Anywhere

Dragon Anywhere brings you superior dictation capabilities wherever you may be with high-quality speech recognition and desktop apps. Although an internet connection is a must, it is a small price to pay for this versatile software. Dragon Anywhere is the mobile version built for both Android and iOS devices, which is rare. However, Dragon anywhere is not ‘lite’ in any way and offers fully-formed dictation capabilities powered by the cloud.

The app also facilitates removing and adding boilerplate chunks of text with a single command along with auto-syncing of custom vocabularies between the mobile app and desktop Dragon software. However, you can only translate text from within Dragon Anywhere. You cannot use it in other apps and directly input your text. Nonetheless, even with these limitations, it is still an excellent application to use for all your speech to text needs.

Compatibility: Android, iOS | Features: Dictation, sync with Dragon Professional and cloud services

Price: 7-day free trial; 12 months @ $149.99/year; 1 month @ $14.99/month

2 Best Free Speech to Text Apps for Mac/iPhone/iOS Devices

16) Apple Dictation

Apple Dictation is one of the best free speech to text software that comes built-in with most Apple devices. It uses Siri’s servers to process up to 30 seconds of speech at a time (remember to connect to the internet). Apple Dictate is the ideal option for quickly getting your thoughts down on paper. Still, if you want to create content with longer for your voice and you’ve upgraded your Mac’s operating system to version 10.9 or later, then the better option would be Enhanced Dictation.

Furthermore, Apple Dictate helps you transcribe speech to text without an internet connection and is especially handy when faced with time constraints. With more than 70 voice commands, you can effectively control all your Mac’s actions, including typing, editing, and formatting for any document.

Compatibility: Mac

Price: Free

Get it from the Mac device’s Apple Menu by going to System Preferences, then click on keyboard and then go to dictation.

17) Voice Texting Pro

Voice Texting Pro is a professional app built by Sparking Apps with a 4+ rating App Store. It requires iOS version 5.1.1 or later since that app works best on the iPhone 5. Furthermore, much like most Apple software, the app prioritises the User Interface (UI) above all else, so it is effortless to use. All of its features are available from a single screen, and there are many in-app purchases available, including voice texting and adding languages.

Compatibility: Mac/iOS devices

Price: Free

Get it from the Apple App Store or

Best speech to text Software FAQs:

Is there speech to text on Microsoft Word?

Yes, dictation technology is available for Microsoft Word independently and as a part of Windows 10. Just press the Windows and H key to launch the toolbar and start speaking. However, it is best to use the Microsoft Office speech to text tool since it will work seamlessly with any Office product. Here’s how you can activate the dictation feature if you are an Office 365 subscriber


What is the best voice recognition software for Mac?

The best text to speech software for Mac systems is the built-in Apple Dictation software. It is also one of the best text to speech software with natural voices. To use it, go to the Apple menu to activate and enjoy.


In recent years, dictation software has become a staple for individuals and organisations alike as it becomes more readily available. It has become more comfortable to use, less expensive, and once you become experienced enough, it can significantly increase writing speed and make you more productive. Even if you're not using the best speech to text software, it is still a necessary tool for people with accessibility issues or people trying to prevent repetitive stress disorders from typing too much.

However, remember that dictation may not always be right for every ask. It is best to use it for writing speeches, dialogue or commentary. Dictation can also be used effectively for making lists and writing notes.

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Discord text to speech bot

Discord Text to Speech – How to Text to Speech on Discord Bot

Discord Text to Speech - How to Text to Speech on Discord Bot

Muhammad Imran


January 29th, 2021

Discord text to speech bot works with almost every digital device. Learn how to use text to speech discord service on desktop, mobile, mac apps.

Discord text to speech bot

Text to Speech discord bot works with almost every digital device, including smartphones, computers, and tablets. Almost all types of text can be read aloud, such as text, pdf, and Word documents. When you don't have a mic. 

bot is for your enjoyment to speak in voice channels or mess around. It is very helpful in daily life especially for children who struggle with reading or decoding, TTS tools have different features one of its features highlights the words when they are pronounced loud. Another technology TTS has is OCR, which enables TTS tools to read from the images.

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Converse Smartly - Your Free Speech to Text Software

“Time is everything” and converse smartly is one application that helps you to save your precious time.

Converse smartly is a smart solution to convert speech into text. A powerful tool that helps individuals and organizations to work much faster in an efficient way while increasing accuracy. This application is capable enough to understand or analyze the words or sentences from conferences, seminars, interviews, and team meetings.

Folio3 uses the latest speech recognition technology to provide a preeminent online speech recognition tool for the best and accurate results. Some built-in tools are also used simultaneously to increase the overall user`s productivity, efficiency, and ease of completing tasks.

The Technology Behind Converse Smartly® - Free Speech to Text Software

Converse Smartly (CS) is developed by the experienced and expert development team of folio3, which demonstrates the capabilities and skillset of its team members in the fast-growing fields of NLP and machine learning. 

Converse smartly is an advanced software for speech recognition. It is built by using the most advanced technologies currently available including IBM Watson API, Microsoft Azure, Google Speech-to-Text API, and Amazon AWS together with Python's Natural Language Toolkit, applying the magical processing at the front end (User Interface) using Facebook's ReactJs and JavaScript. Java's Spring-boot framework is used for the back end processing of converse smartly.

Converse Smartly – Your Efficient Speech-Enabled Notepad

Typing long documents has never been an easy task and there always remain chances of typos, and human errors, which may ruin the quality of the document. Not to forget, such long assignments and documents are also much exhausting and even annoying at times. Folio3 provides smart solution for efficient and enhanced operations with its Converse Smartly tool, which not only saves your typing hours but also reduces the chance of errors with great accuracy.

Converse Smartly is a perfect solution for People who do not like typing or find typing a stressful task. It is a smart talk to speech solution that does not only increase the convenience to its users but also remove the need for typing long assignment and documents. It brings flexibility in working at offices or even outside the offices, decrease the document turnaround time, lessen typing errors. Get yourself free from the typing hassle with this efficient speech to text software!

How to Use Discord Text to Speech on the Desktop App

Discord Text to speech is a fun method to get your message to deliver while chatting. On text to speech discord bot, one can activate the text-to-speech option by using a simple slash command at the start of your message.

First, check your current user settings if the feature is disabled, then you must need to enable the feature. 

Here's how to text to speech discord on the desktop app: 

You must have to enable the discord text to speech feature before using it, and for that, you need to do two things

Open Discord on your PC or MAC, and then hit the gear icon at the bottom-left, adjacent to your username.

Your settings will get open. Click "Notifications" at the sidebar on the left.

Find the "Text-to-Speech Notifications" on the page, choose either "For current selected channel" or "For all channels". The option "For currently selected channel" will restrict the feature to the currently open channel while choosing “For all channels" will allow you to hear every text to speech message in every channel and server.

Now in the sidebar, click "Text & Images".

Scroll down to "Allow playback & usage of the /tts command" and toggle on the switch next to it.

Finally, Discord Text-to-speech is enabled now.

It is a simple process to hear your message aloud when the TTS feature has been enabled once.

Open Discord and send a voice message in any channel you want.

Type "/tts" followed by a space, and then type your message.

Send the message.

The slash command will not appear anymore in your message, but all the users will hear your message aloud in the channel you have sent a message by a voice bot.

Text to speech discord bot was initially designed for gamers, but later on, it is used for everybody who belongs to different fields. Now people who use text to speech discord know how fun and useful it is, but at the same time, you can face some issues, that could be an accessibility issue or language barrier. Discord has multiple text and voice channels, and you can turn on the voice capabilities whenever you want by using text to speech feature. Let’s see how can we enable it and ensure that it is working fine. 

Step 1: Go to Discord’s settings

Open up your Discord app. You will see a gear icon at the bottom of the discord window just next to the headset icon – it is a discord setting tool. Click on the icon to open a sidebar on the left, it has all the Discord settings. 

Step 2: Search the text-to-speech feature

There are several sections in the setting menu find the section named "App settings" and go to the option Text and images select it. this is a section from where you can manage the look of your chats for any specific channel. Scroll down and find the option text-to-speech. 

Step 3: Enable the TTS function

Once you find the option Text to speech, which says Allow usage and playback of /tts command, enable that toggle button. Now you can use the discord text to speech feature whenever you want. 

Discord provides the easiest TTS process. Go to any channel of your choice and type "/tts" followed by a space at the starting of your message and hit the enter key. Once you clicked the enter key you will see a message without the /tts command, however, the command is activated and everybody in the channel can hear your message out loud. 

Step 4: Enable channel notifications as necessary

Notification is one of the most important things. Go to the app settings section in setting and find the option notifications. Select it, and you can see a different kind of alerts, scroll down till you find the option TTS notifications and enables it

Here you will have three options that you can choose from:

For all channels: By turning on this option, everyone in all the channels across the entire server you are part of can hears your message aloud. People do not have to use the command “/tts”, your message will automatically hear aloud by the voice bot. this is a very basic setting, but it is quite useful for people who cannot see.

For the currently selected channel: This option will let you have control over the channels. The users in the channel you are currently using will be able to hear the message aloud, 

Regardless of if they use the /tts command or not. This will be very handy and useful if you are busy working on other things on your computer and still do not want to miss the channel conversation; this will help you in reading out aloud while you can focus on different things as well.

Never: Text will not convert into speech, not even by using the “//tts” command. Everything will remain silent. It is good to use when you want to stop spammers.

You do not have to choose any of these options. It is important for two reasons: First, you do not only want to hear your message only but all messages on the channel. Second, it is good to remember that people can switch off TTS capabilities for Discord if they want.

How to Use Text to Speech Discord on Mac

Let's see How to Enable discord Text to Speech on Discord on Mac.

There are two ways you can turn on the TTS feature. You can enable the feature for all of your channels or only for a current channel you are using

Open the Discord app on your Mac 

At the bottom-left of the screen there is a gear icon, click that icon.

Click Notifications on the left.

Scroll down to Text-to-Speech Notifications.

Select For all channels or for the currently selected channel to allow users to hear your message as per your preference. (select Never option, To turn the feature off)

By configuring these settings, you will be able to hear your messages and audio messages from all the channels you are part of or only current channels you are opened, depending on the option you have selected.

click Text & Images

Toggle on the switch next to Allow playback & usage of the /tts command.

You can use this feature right away as you enabled the feature by typing the a /tts command at the start of your text. Do not forget to enter the space between the command and your message.

Other members of the channel won’t be able to hear the audio if their TTS feature is turned off, however they can see the text.

Open Discord and go to the channel where you want to send a message.

Type: /tts at the start of your message to read it aloud

Hit the enter key. The message will appear without the slash command. A text to speech bot will read your message aloud, along with “Username said.

Use the /tts slash command whenever you want to send an audio message.

How to Turn off/Disable/Mute Text to Speech Discord

Sometimes it gets frustrating to hear the messages aloud when you are not interested in the conversation or may have other tasks on which you have to concentrate. So, maybe at some point you just want to mute all text-to-speech messages, you can do so from the Discord user settings menu.

Method one: notification settings & server-wide mute

Go to the User Settings

Go to the Notifications section

Find the option Text-to-Speech

Never: the option “never” will not convert the text into speech no matter how hard your friends try. You will not be able to hear the tones of the Text to Speech bot anywhere.

Method two: read your sentences!

Go to the User Settings 

Find the Text & Images 

Find the Text-to-Speech

This option is used to enable or disable the /tts command. If you have turned off this option then the Text to Speech bot will not read text aloud, even after using the /tts command. 

Well, that is all with Discord text to speech, we wish and hope that these tips will help you when you use discord.

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how to use google text to speech

How to Use Google Text to Speech in Chrome, Docs and on Android Text Messages

How to Use Google Text to Speech in Chrome, Docs and on Android Text Messages

Muhammad Imran


January 21st, 2021

Lean how to use Google text to speech in chrome, docs and on android text messages. Created by Google to read the text present on-screen aloud.

how to use google text to speech

So what is google text to speech?

Simply put, google text to speech is an application that was created by Google to convert text into human-like speech. This is done by the means of API which is powered by Google’s Artificial Intelligence (AI) technologies.

Google text to speech is used for multiple purposes which include but are not limited to:

Helping you hear grammatical errors within your documents/texts.

Identify awkward phrasing.

Hearing web page text read aloud to you.

Helping those with learning difficulties.

Helping people with visual impairment.

Furthermore, google text to speech is accessible to a large chunk of the population. This is due to the fact it is accessible in multiple languages and supports multiple platforms such as Google Chrome and Android.

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Folio3 is Your Best Google Speech to Text Tech Partner

Folio3 is an internationally renowned leading technology solution provider. The company has the relevant experience, expertise, and resources to develop the best technology products.

 It has a team of dedicated professionals that deliver the best Artificial Intelligence services to fast track your growth.

Folio3 offers industry-leading google cloud speech to text services that are powered with machine learning that can precisely predict vocabulary, text, and language.

These services include the following main features: Google speech integration, back-end software integration, custom Google speech app development, and support and troubleshooting services.

How do I Use Google Text to Speech on Android Devices?

So now that you know how to use google text to speech in chrome let's move on to how to use google text to speech on your Android.

There are many built-in accessibility features within Android. If you want to use google text to speech and get text read aloud to you, all you need to do is follow the following simple steps.

Swipe down on your Android Phone, then click on the settings icon represented by a gear to open your device’s settings.

Once the settings have been opened up find the accessibility option and click on it.

Then click on the select to speak option. and turn it on.

Click on OK and to grant permission to your phone to switch the feature on.

Once enabled, go to any application on your android phone and click on the Select to Speak symbol (this will be present on the lower right corner of the screen).

Click on the Play button. Your phone will start to read whatever you see on-screen starting from the top of the screen.

If you need to read a specific chunk of the text, select that part before clicking on the select to speak symbol.

To stop, just click on the Stop icon.

Now that you know how to use google text to speech on Android, let's take a look at how you can have some control over it.

The Android operating system allows you to have some control of this feature. You can manipulate language, pitch, accent, and the speed of the text voice.

Now let us learn how to do that,

Swipe down on your Android phone once again to open the device settings.

Click the General Management option.

Click the Language and Input option.

Click the Text to Speech option.

When the menu opens, you will see options to change Pitch and the Speech Rate to your liking.

If you want to change the language, click the Language option and select the language you want to listen to while using the text to speech.

How to use Google Text to Speech for Text Messages

Now that you are familiar with how to use google text to speech on both Android and Chrome, let's move on to how to use google text to speech on Android text messages.

There are three different methods you can apply to use this feature to read your text messages aloud.

The first method you are already familiar with, but just in case you haven't seen it previously let me mention it again.

Swipe down on your Android Phone, then click on the settings icon represented by a gear to open your device’s settings.

Once the settings have been opened find the accessibility option and click on it.

Then click on the select to speak option. and toggle the switch to turn it on.

Click on OK and to grant permission to your phone to switch the feature on.

Once enabled, go to any application on your android phone and click on the Select to Speak symbol (this will be present on the lower right corner of the screen).

Click on the Play button. Your phone will then start to read everything you see on the screen starting from the top.

If you want to read a specific part of the text, select that part of the text before you click on the select to speak symbol.

To stop, just click on the Stop icon to end the playback.

The second method is even simpler than the first one all you have to do is follow along the simple steps below:

To have the text messages on your Android phone read out aloud all you have to do is ask. Yes, it is as simple as that.

Just simply ask the inbuilt Google Assistant on your android phone by saying “ Hey Google, read my text messages.” If you have any unread texts on your phone the Google Assistant will read them for you.

Furthermore, you can even reply to messages by using your voice.

The third method although a bit unreliable can also help you in case the other two methods fail to work.

To use this method just follow the steps listed below;

Find your Google Playstore and click on it.

Click on the magnifying glass symbol to search for third-party apps.

Just type in ‘ text to speech’.

Several apps will pop up

Click on the app you like best and click on Install

Now that you are well versed on how to use google text to speech on Android text messages and how to use google text to speech in chrome, let us learn how to use google speech to text on google docs and pdfs.

How to Use Google Text to Speech in Chrome

So how to use google text to speech in chrome and what can you do with it?

You can hear the entire page or you can even hear parts of the page. Furthermore, you can also hear specific words.

Accessing this feature in Google Chrome is super simple, all you have to do is follow the simple steps given below:

Install the ‘Read Aloud’ plugin from the chrome webstore. You can find it here.

Once downloaded, go to the webpage you want to be read out aloud.

Click on the Read aloud symbol that can be found within chrome's menu.

Shortcut keys like  ALT+P, ALT+O, ALT+comma, and ALT+period are used to play/pause, stop, rewind and forward respectively.

If you want to read a specific chunk of a text read aloud just select that text before you start the extension.

Furthermore, if you right-click on a highlighted piece of text it will provide you with another option to start Read Aloud through the context menu.

How to use Google Text to Speech to Read Pdf?

Getting text read out to you while browsing through a pdf document can be a bit difficult for new users of this feature. However, using it is just as easy as on android.

So let's get started.

To get pdfs read out to you first you have to download and install Adobe Reader on your computer if you don't already have it.

Once installed, open up the pdf file.

Open up the View menu present on the top of your screen.

Then move your cursor to the Readout Aloud sub-menu and click on Activate Read Out Aloud.

Alternatively, you can also use Ctrl+Shift+Y to activate the text to speech feature

How do I use Speech to Text on Google Docs?

Google docs has quite a nifty feature that most people are unaware of. With this feature, lazy people like myself can convert our voices to text on the screen. This not only saves time but also helps to pen down your ideas before you forget them.

So how to use speech to text on google docs?

Before we begin one thing to note here is that this feature only works on the Google Chrome browser.

The first step is to make sure that your microphone is activated. You can check this by going to your microphone settings within the System Preferences on your Mac computers or the Control Panel on a personal computer.

Now that you have made sure that your microphone is working, open up a document within Google docs via Google Chrome.

Then click on the Tools option within Google docs, after that go to the voice typing option and click on it. A microphone box will appear.

Click on the microphone box once you are ready to start speaking.

Make sure to speak with clarity ensuring a normal pace and volume.

When you are done speaking, click on the microphone box once again.


Now that you know how to use google text to speech on multiple platforms, I sure hope that you will be making use of this marvelous feature for both personal and professional use.

Not only will this feature serve you well in improving your customer interactions but it will also help you to engage with users and personalize your communication according to their preference.

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labelling images

15 Best Labelling Images And Annotation Tools in 2021

15 Best Labelling Images And Annotation Tools in 2021

Muhammad Imran


January 21, 2021

in this blog, we have reviewed the best labelling images and annotation tools in 2021. Find out the key differences between these twos.

labelling images

Image Labeling is a way to identify all the entities that are connected to, and present within an image. The images can have multiple entities present within it, ranging from people, things, foods, colors and even activities, which will all be recognized in this process. This way, the users know what their image is portraying, and the ones who are viewing the image also find out what is being displayed in front of them. For this purpose, the best machine learning as a service and image processing service is offered by Folio3 and is highly recommended by many.

Image Labeling can be used through APIs that are both, cloud-based and on the device itself, making it easier to use, and is friendly with both the main software systems, iOS and Android. Image Labeling also comes in handy in many different ways, for example, the organization or person administering the image labeling can gage insights into what the image is portraying, and how it is doing so. This information leads them to find out how the images can be used to their advantage, and then they can plan and perform further tasks, like content moderations, or automatic metadata generation, etc.

What is Image Annotation?

Image Annotations are currently high in demand due to the rapid growth and widespread use of Artificial Intelligence (AI) and Machine Learning (ML). The developments in these areas have led to more and more images now being annotated, and are being used not only for image attractions but also for future predictions on different scenarios. The computer vision that the AI and ML models have, can visualize different objects through videos and pictures, which is why it is best if they are annotated using the special technique, and if conducted on a large scale, it can be used as data for further training.

One major use of annotated images is to train different AI and ML algorithms through them, which would, in turn, help the machines in learning and storing the different patterns to its virtual memory, and then relate and utilize that memorized image to identify the different real-life situations later and analyze the similarity of that data. For this reason, most of the work conducted is through online image annotation and tools.

Different types of Image Annotations are used today, namely:

  • Bounding Box
  • Polygon Annotation
  • 3D Cuboid
  • Semantic Segmentation
  • Land-marking

The annotated images, once completed, are then fed to the trained or training models and algorithms to ensure its accuracy, and whether the model has undergone correct and complete training, which is checked by the machine learning engineers themselves. Though, one can never be sure how much data is required for training the algorithms.

Is there any difference between image annotation and labelling images?

Labelling Images and Image Annotation are generally processes that are conducted together, because an image needs to be classified, put labels onto and then used further for annotation and then prediction purposes. Though, both terms are different, and some very obvious differences are highlighted below:


Image Annotation

Labelling Images

  • It is more complex than labelling and classifying images.
  • It is easier to be conducted than image annotation.
  • It needs a larger scale to work on most efficiently.
  • It is effective in smaller scales as well, unlike image annotation.
  • It is used for a specific purpose of machine learning, and for a specific audience or algorithm.
  • It is a widespread process that is usually conducted without any specific purpose, and for the general audience.
  • Requires much more time and expertise than labelling images.
  • It is an easy process, so can be conducted fast and with limited expertise.
  • It is a much harder process, and needs many classified or labelled images to work with in order to be successful in making AI systems work.
  • It has a purpose of mapping out and giving labels to images, dividing them into classes so that robots can be controlled, as well as other systems.
  • It needs a higher level of intelligence and a rich vocabulary.
  • It can be conducted with regular, easy vocabulary without higher intelligence.
  • It adds captions and meta data into digital images.
  • It labels or classifies the images by identifying the objects present in them.

Key Criteria for Reviewing Labelling Images / Image Annotation Tool

The criteria for Labelling Images and Image Annotation Tools differ only a little, with some key points in favour of both.

Key Criteria used for reviewing Labelling Images tools



Since Labelling Images tools are available on the device and as a cloud-based entity too, a person has to decide which one suits their needs the most. In the case of pricing, it is found that on device it is free of charges, though, the cloud-based system is free for only the first few uses, if you want to use it again, there will be a minimum fee.

Label Coverage

The next important thing is to see how many labels are present for you to use. For example, for on-device users, there are around 400 or more labels present, which are of common things and most commonly used, but for cloud users, there are more than 10,000 labels belonging to multiple different categories.

Specific entity IDs

Another thing that is a criterion and is available to cloud and on-device users is the use of knowledge graph and entity IDs, which is a different ID for each object in the labels and has support available to help you with the process.

Key Criteria used for reviewing Image Annotation tools



Again, price is a very important factor for users to determine which tools gives the most value for money and is highly useful.


The variety of features that a tool offers is what attracts users. This refers to the different kinds of functions, tools or formats that different tools provide, and the one with the higher number of services definitely gets an upper hand.

Management and Usage

For tools to attract the right users, they need to have management expertise if different kinds of projects, so that maximum people find them useful. Moreover, the ease of use of the tools also counts, because no one has the time to deal with complex tools as image annotation itself is a complex process, so the tools should be as easy to use as possible.

5 Best Labelling Images Tools in 2021


This is an open-source and free of cost image labelling tool, which is highly easy to install in Windows operating systems as it has built-in binaries for it already, which is a USP for it. The good thing about this is that it is an offline tool, making it simpler and faster to label images and retrieve the saved ones. Otherwise, it is a very simple tool and has nothing advanced in it. Additionally, it only supports bounding boxes and no other kind of labelling method.


This is a web-based platform that is continuing to grow and improve its functionalities and has 2 pricing packages to offer its users: free of cost (but is limited to 5000 images) and an enterprise pricing plan that is charged. It offers lines, boxes, polygons and all sorts of labelling techniques, along with great project management methods too, like monitoring performance, quality control, etc. Though its file saving option is complicated and files can overlap each other, causing confusion in later stages.


This is another tool for image labelling, though, like LabelIMG was more comfortable with Windows, RectLabel is made for the macOS and is easy to use for all macOS users. It is free of cost and provides great ways to label images using bounding boxes and polygons.


Another image labelling tool is ImageTagger, and as the name suggests, it is extremely easy to tag pictures with labels through it. It is free of cost, as it is an open-source platform, and provides a variety of labelling techniques. In addition, it also provides a unique method of image labelling collaboratively on a larger scale, if needed.


It is one of the classic image labelling tools in the industry, which was built by MIT on an open-source format. Its best labelling technique is using the polygonal way of labelling, though, its level of precision has proved to be extremely low and uneven.

10 Best Image Annotation Tools in 2021

VGG Image Annotator

Being an open-source platform, it is free of cost, and like LabelIMG, can perform simple tasks without project management very easily. It is the only platform amongst many that support the use of circles and ellipses along with other polygons, dots and lines in annotating images. It does not support advanced management, but its interface is highly efficient and precise.

This web-based platform is an advanced annotation tool, which also has a library containing deep learning models that you can immediately train and test. Though it is a community and free tool, it does have an enterprise plan that charges. With a variety of tools, you can also use it to draw holes in polygons, and it lets you order you figures in a layered format, which are highly valuable features. It provides you with image format options like Cityscapes and COCO, as well as the possibility of a direct transformation to the platform. Teams, datasets, workspaces, it provides project management for all these, but it lacks time statistics and quality control mechanisms.


This tool is a little different because it caters to video annotations specifically, and is popularly used by engineers all over the world. It works as a Python Django server locally and has easy integration skills with mturk. It has a lot of features and you can achieve a lot from its annotations, but the only drawback is that you need to have some prior knowledge or expertise of it, and have to learn how to use the tool in the most efficient way.


Diffgram enables teams to process large quantities of datasets, such as images, videos, etc. in one go. You can easily create workflows and check progress through it, along with it automatically assigning tasks and saving up on time. It also creates versions that are immediately web-ready, so that annotators can easily access it, and it is also compatible with cloud computing. Diffgram has different pricing levels, where Explorer is free of cost, Teams have a cost per user charge and Enterprise charges according to the business needs.


Prodigy is a highly efficient and scriptable data annotation tool, which is very easy to use and can train an AI model in only a few hours. It has a faster data collection, a more independent approach, and is known to have a higher level of successful projects than other tools. You can easily get state-of-the-art insights and user experiences about machine learning, along with it being highly powerful and using modern UX principles. Prodigy has two pricing plans: Personal (for $390) and Company (for $490).


Dataturks gives you a way to easily collaborate between teams to build high-level machine learning datasets in a short amount of time, and annotate as quickly as possible. It gives you a frequent tracking and improving feature for making better quality material for your models, and its return on investment has been quite high in recent years. It is an open-source platform and has both, a cloud version and an on-device version, and both are free of cost.

Computer Vision Annotation Tool (CVAT)

The computer vision annotation tool (CVAT) is developed by Intel. The software reiterates the embodiment of OpenCV, which was released 2 decades ago by the tech giant. As can be expected by software from Intel, CVAT comes with powerful and state-of-the-art annotation tools. And while getting familiar with all the features and functionalities of the software may take some time, it’s worth the efforts to get used to the tons of features offered by the platform for annotation. As a web-app, the software is easy to install and scale and offers plenty of automation instruments including; TensorFlow, Object Detection API, automatic annotation, and others. The only downside to the tool is the complicated UI, which may need several days to master.

Visual Object Tagging Tools (VoTT)

Visual Object Tagging Tools (VoTT) is yet another powerful image annotation tool. Developed by Microsoft, the software brings in an interactive and intuitive interface, making it easier for users to master the various functionalities and features offered by the tool. Moreover, the tool makes it easy for users to create a project without diving into the documentation details. VoTT is written in React Language with clean coding, moreover, the use of deep learning algorithms enable quick and accurate detection of objects. VoTT is available as a web-app, as well as, electron app.


Make-Sense is a new entry in the image annotation world, which was released one year back. Like VoTT, Make-Sense comes with an incredibly user-friendly UX, making it easier for users to get started immediately. If you are an absolute beginner looking for a head-start to the image annotation field, Make-Sense is the right tool. All you need to do is to visit the website and drag & drop the images you want to annotate and you are good to go. What’s really cool is that the tool doesn’t store any images, so you can be sure of the privacy of the data.


Anno-Mage is another relatively new annotation tool that brings in a powerful object-detection model called “RetinaNet”. The tool is developed to offer users easy access to all the tools with an intuitive interface. The “RetinaNet” model used by the tool offers up to 80 object classes to users, minimizing the human efforts required to annotate the images.


Can I crop images after labelling?

Cropping reduces image resolution, so it is preferred to crop before labelling the image so that the image is highly clear, though, cropping images after labelling can be done manually by the users, and depends on the which tool you are using for labelling images.

How can we use masking for labelling images?

Mask makes labelling images easier as it segments the images into the exact shapes of the different objects in the image, giving it a clearer and sharper way for labelling images accurately. The Mask model in Python is a state-of-the-art framework to build great and efficient labelling systems.

How do I label images in word?

To label images in Word, you need to follow a few easy steps as follows:

  • Create a new document
  • Insert a picture
  • Click the image that you want to add the label to
  • Click on “Mailings” and then on the “Label” tab
  • Choose from pre-given data label sets

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livestock apps

Livestock Apps – 15 Best Livestock Management Apps/Software in 2020

Livestock Apps - 15 Best Livestock Management Apps/Software

Muhammad Imran


November 30th, 2020

By keeping up with the best animal practices, livestock management apps enable farmers to ensure the highest quality standards and improved productivity.

livestock apps

The livestock management software has quickly become an important component that enables livestock farmers to keep up with farm animals’ health and well-being. The app help farmers to record and access all the important details they need to know from the time of birth to the time they are sold. The type of records managed by livestock apps may vary from one app to another. Some of the more important records maintained by all livestock management software include the date of birth, medical records, and others. Apart from tracking the records for health performance and costs, livestock management apps also enable farmers to better manage livestock at farms by tracking them remotely across the farms.

 Modern livestock apps are able to record all the procedures carried out in the farms on daily basis. These apps offer the most effective way to incorporate feed formulation, feed production, accounting, production, feed selection, and various other records, against specific components like land conditions, feed recipes, climatic conditions, and others. All of this information can then be access easily through interactive reports and charts, for improving the overall efficiency and productivity of farms. Livestock management software also brings in advanced analytical tools to help farmers identify and follow profitable practices.

By keeping up with the best animal practices, livestock management apps enable farmers to ensure the highest quality standards and improved productivity. Over the years, livestock software has proven to be an effective method to improve the efficiency and productivity of the farming business. It’s the perfect choice for livestock farms looking to design and implement effective procedures for higher revenue.

Below are some of the benefits of integrating livestock management software for farm businesses:

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1) Easy Farm Management

Livestock farming can be challenging, especially for startups and small farms with little experience. The challenge becomes even steeper for farms looking to manage multiple livestock. With the livestock management software, such farm businesses get access to an automated management platform. These platforms not only help them to automate various daily processes but also enable farmers to get access to updated information and best practices for farm management.

2) Improved Pasture Management

Apart from assisting farmers with the best practices in livestock farm management, these livestock apps also help farmers in moving herds from one pasture to another. Many of the latest livestock management apps come with intelligent features, which can be integrated with drone technology. Such technology not only helps farmers to keep close track of herd across vast pasture areas but also enable them to monitor and manage pasture area in a more coordinated manner.

3) Events Tracking

Event tracking is perhaps the most basic and widely used function of livestock management software. The functionality enables farmers to keep entire animal records against all events like medical treatment, animal sale, birth, death, breeding, and other events. In other words, farmers are able to record each and every event of the herd; right from birth to sale or death in an efficient and structured manner. This doesn’t only make it easier and more effective for farmers to manage livestock, but also help them to comply with livestock management regulations.

4) Improved Feed Management

With robust livestock management software, farmers are in a better position to identify and implement a structured feeding plan for animals. These apps enable farmers to track the feeding habits of an individual animal in the herd and adapt accordingly. The software also enables farmers to figure out the feed conversion ratio, which gives them an ideal to identify the expense of feed and subsequent ROI.

Folio3 is your Custom Livestock Management Software/Apps Partner

Folio3 is one of the leading companies working in the livestock management field. The company brings its strong experience in data analytics and business intelligence technology to develop intelligent and comprehensive livestock management apps. By utilizing its strong portfolio in artificial intelligence, machine learning, computer vision, and other powerful analytical technology, Folio3 has developed one of the most advanced livestock management apps that can be integrated with programmable drones.

CattlePal is one of the livestock management app developed specifically to automate livestock management for farmers. The software can be integrated with powerful programmable drones, equipped with thermal sensors. The app enables real-time monitoring of animal’s data using cloud servers, assisting farmers to keep up with the animal’s health and other important indicators.

The powerful software solution by Folio3 comes with advanced image processing techniques including image segmentation, and automated analysis. The AI drones solution by Folio3 is also being used widely across different industries including terrain mapping, solar panel inspection, and others. By working closely with the farmers, Folio3 ensures the development of customized functionalities required by farmers of all sizes and business models.

5 Top Livestock Software/Apps for SMEs and Enterprise


1) Ranch Manager

Ranch Manager is a crowd-funded livestock management software that comes with a voluntary licensing model. It’s an advanced platform that is designed to automate the various tasks associated with the modern-day livestock business. The software lets ranchers keep detailed records of the livestock including the breeding, pedigree, locations, treatment, and sales record. The platform also comes with in-built accounting capabilities for assisting farmers in managing day to day business transactions and estimate profit and loss.


- Detailed record storing in a structured manner

- Accounting capabilities

- Multiple ID tags

- Feed Management

- Easy data entry


2) Chetu

Chetu is an enterprise-level livestock management platform that’s known for the development of customized solutions for farmers. The platform lets farmers centralize livestock management operations and comes with powerful features including breeding tracking, ranch management, and even basic accounting features. Apart from livestock management, the platform also brings in powerful database management solutions for farmers, assisting them to enter, edit, and view detailed records of individual animals through the web or mobile devices.


- Custom dashboards

- Decision support system

- Grazing management

- Weather tracking system


3) Cattle Max

Cattle Max is an enterprise-level livestock management software that is widely used for the management of large farms. The platform brings in some powerful features to track performance, production, and marketing records of livestock. Cattle Max is currently being used in over 8,000 farms across the United States and other countries. Some of the features offered by the platform include; cattle notes, multi-record updated, electronic ID features, custom reports, and much more.


- Calving history

- Management snapshots

- Breeding status

- EPD and EBV status


4) MiHub

MiHub enables farmers to transform data into insightful information to track the herd’s performance and achieve higher efficiency for farm businesses. The livestock management app brings in powerful analytical solutions that let farmers access insights into the herd performance through interactive charts and reports. The reports can be accessed by users remotely through mobile devices.


- Interactive reports and charts

- Intuitive interface

- Easy data entry and management


5) Muuu

Muuu is yet another powerful livestock management app that lets farmers manage and market their livestock businesses with ease. The app lets farmers partner-up with other farms to share management activities and best practices. The data can be accessed remotely and in real-time using any device, thereby greatly improve the access to information for higher efficiency and more profits.


- Digital agriculture marketing

- Fieldwork planner

- Cattle traceability

- Record-keeping and traceability of animals

5 Best Livestock Management Software Apps for Startups


1) Angus Black Book by Folio3

Angus Black is a premium livestock management software developed by Folio3. The software comes with advanced functionalities and features meant to improve the management and productivity of farm businesses.

The platform comes with an intuitive interface for easy adoption by farmers, enabling them to record and access crucial records seamlessly. Angus Black’s structured data storing capability enable farmers to get insight into critical performance indicators of each animal and take timely decisions. Some of the functionalities offered by the software include; detailed reporting, operations management, reminders & alerts, and record management.


- Intuitive and interactive interface

- Structured and hierarchical record management

- Individual tracking of animals

- Real-time operations management


2) Livestocked

Livestocked is a leading and widely used livestock management app. The app comes with an interactive interface and advance functionalities to help farmers manage herd effectively and drive increased profits.

Since 2013, the software has helped hundreds of farms to improve livestock farming practices and boost profits. The app is available for download from App Store and comes with advanced features including; traceability, livestock management, inventory management, cattle management, and more.


- Simple and intuitive interface

- Affordable platform

- Structured record-keeping

- Multiple livestock management


3) Calf Book

Calf book is a reliable and effective livestock management app that can be used by farm businesses of all sizes to effectively manage essential livestock records. It’s a simple and smart platform, which can easily be downloaded and used by farmers.

Some of the functionalities offered by the app include; yearling performance, calving data, calf weaning, breeding data, and many other intelligence features. Over the years, calf apps have enabled hundreds of businesses to effectively manage farm businesses and make intelligent business decisions using interactive reports.


- Offline data accessibility for users

- Intuitive interface with highest user adaptability

- Insightful reports detailing important insights for farmers


4) Breeding Wheel

The breeding wheel is a great app for livestock management farmers dealing with cattle, pork, or any other livestock. The app is available free of cost on the app store and can be used straight away thanks to its easy and intuitive interface.

The app has been developed to make livestock breeding easier and more efficient. The breeding Wheel comes with intelligent functionalities that enable farmers to identify any potential breeding issues with animals. The platform also enables farmers with easy service scheduling, proximity forecast, and get reminders for the drying date of cattle.


- Easy management of individual animals

- Advance features of identification of reproductive issues with animals

- Easy sharing of records between devices

- Free to use


5) Cattle Breeding Calculator

If you are looking for an efficient and effective livestock breeding app, the Cattle Breeding calculator is the definite choice for you. The platform is ranked as one of the best livestock management apps in the play store and is developed specifically to assist farmers with calving dates, returns, and management of other breeding issues.

The app lets farmers record all relevant breeding data of animals in a structured manner, as well as, share the data via an email functionality. The gestation calculator offered by the app help farmers to estimate forward and backward dates with much accuracy.


- Intuitive and interactive user interface

- Free download from Google Play Store

- Accurate gestation calculator

5 Must-Have Free Livestock Apps


1) Ranchr

Ranchr is a complete livestock management solution ideally suited to manage cattle herd. At the moment, the app is only available for iOS platforms and is widely popular amongst ranchers for its simple and highly-efficient livestock management features. The app offer users insights for herd performance, as well as, let them track the health performance of individual animals.

With interactive and detailed reporting features, the app let farmers keep up with the herd performance in real-time, and identify any breeding issues timely. The app makes the complete process of cattle health tracking and treatment simple and effective for ranchers, enabling them to streamline farm operations for improved productivity and increased profits.


- Easy record management and sorting 

- Intuitive and interactive interface for higher adaptability


2) Farmwizard Beef Manager

The Farmwizard Beef Manager is another high-utility livestock management tool meant to automate the farming business for improved efficiency. Some of the key features offered by the platform include; livestock management, supplier management, and traceability.

The app lets farmers record and access records remotely for greater efficiency. With smart tracking features, it also lets farmers track the herd performance in real-time and identify any specific breeding issues timely.


- Detailed and insightful reports

- Seamless user-interface

- Free app


3) Stock Move Express

Stock move express is specifically developed for startups and small farm business management. It enables ranchers to maintain detailed records of animals from birth till death. Over the years, the platform has proved its worth as high-utility livestock management and tracking application for small farms and startup businesses. Stock move express also new ranchers to track the breeding cycles of the herd, giving them real-time updates of any issues in the reproduction cycle and take appropriate actions.


- Easy data sharing with other users of NLMD-LT database even without internet connections

- Free to use

- Great for cattle and sheep management

- Intuitive and interactive user-interface


4) Moocall Breed Manager

The Moocall Breed Manager is a light and interactive livestock management app that help farmers easily manage the farm operations with herd cycles. The app lets farmers segregate the animals based on the breeding data. The herd can be categorized into in-calf cycling, in-heat, or inseminated animals for better management.


- Free livestock management app

- Categorize animals based on breeding cycles for efficient management


5) iHerd

iHerd is a free livestock management software that comes with some high-end features. The app enables farmers to track the herd from birth to death and record everything in between. iHerd is a cloud-based livestock management platform that enables farmers for easy and efficient herd management by letting farmers store and access data from anywhere. 



Easy and effective herd management

Automated accounting and auditing features

Free livestock management app



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Please feel free to reach out to us, if you have any questions. In case you need any help with development, installation, integration, up-gradation and customization of your Business Solutions. We have expertise in Deep learning, Computer Vision, Predictive learning, CNN, HOG and NLP.

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computer vision applications

Computer Vision Applications – 15 Best Computer Vision Apps and Case Studies

15 Best Computer Vision Applications for SMEs and Enterprises

Muhammad Imran


November 28th, 2020

Computer vision has changed the way that organizations from various verticals use of visual content. Explore the best Computer vision applications.

computer vision applications

Computer Vision is a disruptive technology that emerged from the world of Deep Learning and Artificial Intelligence. The ultimate aim of computer vision technology is to train machines/computers in a way that they recognize the visual world and understand the particular situation by analyzing digital videos, images, and other deep learning models perfectly, and respond according to that.

In the past few decades, Computer vision application has changed the way that organizations from various verticals use visual content. Organizations that have adopted computer vision application technology can easily process and extract high-dimension data and can produce real-time information by using digital images while empowering organizations to improve their processes and viably meet their objectives.  

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Folio3 is Your Custom Computer Vision Applications Partner

If you are looking for a partner who can work with you on the latest computer vision applications, then Folio3 would be your best choice. The company is rapidly innovating Computer vision techniques and bringing high-value solutions to clients. Some of the computer vision application solution offered by Folio3 includes;

Image processing

Virtual search

Picture handling: 

Object Recognition 

Biometric Identity Authentication

Event detection and recognition 

Compression and filtering

Advance computational imaging

Video Archiving and Retrieval

Image and video-based indexing


Augmented reality

Let's discuss a few of them.

Image processing

AI Image processing is a method to perform the analytical process on an image, to get an enhanced image, or to extract some useful information from it. It is a type of signal processing in which input is an image and output may be an image or characteristics/features associated with that image.

Virtual Search

It is another feature of Computer vision application using Artificial intelligence that made searching easier and simple. It uses screenshots or images for searching instead of text.

Object Recognition

Object Recognition is another Computer vision technique that focuses on identifying the various objects in videos and images. It is similar to when humans look at an image that consists of various creatures, they can easily spot objects, people, and other visual details. Face Detection is one of the most common areas.

Biometric Identity Authentication

Biometric identification Authentication is used to decide, "Who are you”. The main focus is to store the person’s biometric data, which can be either fingerprint, the sound of their voice, or a photo of their face, that data is compared to the other person biometric, if the data matches then the person get authenticated. Below are some other ways for Biometric Identity Authentication.

Fingerprint scanners 

Facial pattern recognition devices 

Hand geometry recognition devices 

Iris scan identification devices 

Retinal scan identification 

Augmented reality

Augmented reality is an advanced technology that overlays virtual objects and information such as sounds, text, or images in a real-world environment in real-time. It creates a new artificial environment by using the existing environment with some additional information.

Road Traffic Analysis Computer Vision Demo Application by Folio3

The road traffic analysis solution from Folio3 is an incredible practical application of computer vision technology that comes with higher performance and superior accuracy. The technology is able to process both offline digital and real-time image processing with the automated testing feature, data labeling, and analysis. The company’s extensive experience in embedded systems and huge sets of the tool enables the company to create high-value and innovative solutions which can be easily implemented and that can be integrated with video and image capture and any other computer vision application. 

Computer vision applications in road traffic analysis sense the license plate numbers, capture high speeding, break the signal, and more. Then the data can be reported and automatically issue fines without any administrative interference.

Folio3 partnered with various technology users to ensure the comprehensibility of the application and come up with a practical and high-value computer vision application. The experienced technology team at Folio3 ensured to pay close attention to every single detail to create a competitive application, which fulfills the client’s requirements. 

Face Recognition Demo Computer Vision Application by Folio3

Folio3 has strong experience and expertise in the development and design of computer vision and Artificial Intelligence. The company helped clients to stay ahead of the competitive edge with its innovative tech solutions. The company maintains distinctive proficiency in establishing seamless image recognition, facial recognition, and other similar solutions. 

Face Recognition is a revolution in the field of computer vision technology; it helps in identifying or verifying a face by using an image, video, or any audiovisual feature on the face, which improves safety and reliability. Folio3 provides facial recognition technology that helps in detecting and identifying, faces in videos and images. We can assist you in building comprehensive business plans like counting people in spaces or gathering, identification, and attention access only by using facial recognition.

5 Best Computer Vision Applications for Startups

Recent enhancement and development in the field of deep learning and artificial intelligence have immensely improved the efficiencies of the visual recognition system. Various companies have been rapidly adopting innovative computer vision applications to gain a competitive edge.

Let’s look into a few computer vision applications for startups

1) Defect detection

Defect detection is one of the most widely used applications of computer vision across various industries. Previously, defect detection was carried out by trained people, who were responsible to control the quality of the production. However, the manual operations aren’t just time-consuming and expensive, but also there remains a chance of human errors.

Today, automated defect detection technology powered by computer vision is enabling startups and small businesses to design robust quality control measures. The technology gives startups the qualitative edge they need to deliver superior quality products to compete with the major players in the industry.

2) Mineral Mapping 

The modern-day advanced sensors are able to capture images in hundreds of small electromagnetic bands. The hyperspectral sensors have the capability to take the most detailed images for target detection. The powerful image analysis techniques based on computer vision is enabling small businesses in the mining sector to effectively utilize the hyperspectral imagery for the detection of minerals across vast swaths of remote lands. The powerful computer vision algorithms are able to utilize all spectral bands of the hyperspectral imagery and identify the reflectance/absorption spectra of the target mineral to help startups fasten up the reconnaissance and mineral mapping process.

3) Agriculture

The advancement of computer vision technology has also seen the rise of precision agriculture. By utilizing powerful AI drones, farmers today are able to scan through their farms and get real-time imagery of the crops. This coupled with automated computer vision algorithms capable of performing image processing and analysis enable farmers to monitor crop health in real-time. Modern-day computer vision algorithms can also be used to assess the soil fertility, and chlorophyll content of the crop, thereby, greatly improving the quality of produce from the farms.

4) Assembly verification

The growing complexities in the assemblies of modern machinery and equipment can be a challenging task for startups, with no real experienced technicians. However, computer vision technology today is enabling startups and small businesses to ensure verification of assemblies in real-time. The technology not only brings down the cost of the operations but also significantly fasten up the operations for higher efficiency and productivity.

5) Retail Industry

While this may be still a nascent application, computer vision technology is already being used by Amazon for its flagship Amazon Go retail store. The technology enables retail stores to operate without the need for manual checkouts. The detailed camera system installed in the store is powered by robust computer vision algorithms that enable them to scan through the items as they are picked and placed inside the cart. The algorithms are able to scan in real-time as the items are placed in the cart and the total cost of the shopping is deducted from the account automatically. The technology can be game-changing for startups, bringing them the qualitative edge they need to compete with the retail giants.

5 Must-Have Computer Vision Applications for SMEs and Enterprises


1) Human Pose Estimation

Human Pose Estimation is a fascinating computer vision application. Posenet is a popular open-source model for human pose estimation. It is used to infer a pose of any human or object available in the video or image  

First, understand the "Human Pose Skeleton" before moving towards the working of pose estimation. It consists of coordinates to characterize the person`s pose. The pair of coordinates is called a limb. It works by finding, locating, and tracking the points of the skeleton in a video or image

Here are some Human Pose Estimation applications:

  • Activity recognition for real-time sports analysis or surveillance system.
  • For Augmented reality experiences
  • In training Robots
  • Animation and gaming


2) Image Transformation Using GANs

Faceapp is an interesting application among people. By using a filter, it transforms the images and works as an image manipulation tool. There are multiple filters available in application like aging and gender swap filter  

A few days back, it was a trend on the internet to share pictures after using the gender swap filter. Computer vision is working behind these kinds of applications.

Generative adversarial networks commonly known as GAN are an old concept although, but an exciting transformation in the computer vision field. It has made a lot of development since it was proposed again in 2014 by Goodfellow.


The following are some of GAN generated applications.

  • Image to image translation in style transfer and photo in a painting
  • Image super-resolution
  • Text to image generation
  • Image editing
  • Semantic image to photo translation


3) Computer Vision for Developing Social Distancing Tools

The whole world is suffering from the COVID-19 pandemic since the last year, and it will exist until the vaccine is not available. We all must follow all the precautionary measures like a facemask, hand sanitizer, and most important social distancing   

Computer vision application plays an important role in this critical condition. It allows tracking people in a particular area to make sure that they are following social distancing or not. The social distancing tool is an application of object detection and tracking in real-time. By using a bounding box in the application, we can find the person who is violating social distancing. The same bounding box can be to frame and calculate the distance among people. The box will lighten up if there is any social distancing violation.


4) Creating a 3D Model from 2D Images

It is another fascinating computer vision application. It converts a 2 dimensional (2D) image into a 3 dimensional (3D) model. For example, you are having an old picture of yourself, now you can convert it into a 3D model and enjoy, as you are present there. 


The following are its applications 

  • Animation and Gaming
  • Robotics
  • Self-driving cars


5) Medical Diagnosis and surgical operations

It has been a long time since the healthcare department uses medical images for diagnosis purposes like X-rays, CT scans, etc. computer vision allows doctors to understand the reports more precisely by converting those images into 3d models, which makes the analysis and decision making easier.

We can see that computer vision is highly in use of healthcare departments for detecting the COVID-19 cases using X-rays.

Top Computer Vision Applications and Case Studies in Different Industries

Computer vision bases on AI technology allows computers to label and recognize images, is now widely used in stores, medical diagnostics, driverless car testing, and monitoring the health of livestock and crops.

Various use cases of computer vision found in the following industries.

  • Retail and Retail Security
  • Automotive
  • Healthcare
  • Agriculture
  • Banking
  • Industrial

Retail and Retail Security

  • Amazon

Amazon has recently launched the Amazon Go store, which was initially opened for its employees but now welcomed the public. Amazon Go store refers to a place where shopper does not have to wait in long queues for payments and checkouts.

Just Walk Out is the innovative technology behind the Go store based on computer vision technology. Before entering the store shoppers need to activate the android or IOS mobile application. Cameras are allocated in the ceilings and on shelves; these cameras are efficient enough to detect the item when it is picked up from the shelf and a person who has picked it. The system is capable enough to remove the item from the shopper`s virtual basket if it is returned to the shelf. The app ensures to track all the people present in the store while generating bills of the right items to the right shoppers.

The shopper is allowed to walk out of the store after completing their shopping. The app will automatically generate the invoice and send them online while charging the amount of the items from their Amazon account.


Computer Vision technology helps in the healthcare department, that allows healthcare professionals to precisely monitor the illness or condition of a patient by reducing incorrect treatment or inaccurate diagnoses

  • Gauss Surgical

The company has been able to leverage the computer-vision technology to develop a powerful blood-monitoring system that can estimate the blood-loss in real time. The computer-vision driven solution is also more capable to determine the hemorrhage conditions in patients, as well as, maximizes the transfusions. 

Gauss surgical`s triton captures blood images on sponges and suction canister using an iPad based app. This application is based on Computer vision and machine language algorithms, Healthcare professionals in hospitals use this application to calculate the amount of blood loss during Caesarian deliveries or surgical operations.  

In 2017. Gauss surgical perform an analysis on the amount of blood on the suction canister or surgical sponges collected from the cesarean delivering during by using this application found that the result is more accurate than obstetricians' visual estimates.


Computer vision technology is now adopting by many farmers to enhance their operation. It helps the farmer to adopt efficient growth techniques, which return in increasing overall profit. 

  • Slantrange

The company is known for development of advanced AI drones powered by computer-vision technology with intelligent systems containing processors, sensors, storage devices, and AI software to monitor and measure the condition of crops. The camera supports a resolution of 4.8 cm/pixel when recording from a height of 120 meters, it can provide a better result if flying from less height.

The drone takes pictures of the field to show the different conditions of the crops, which can be compared to decide which crop needs immediate action. If stressed crops are found, then these stressors may have dehydration, pest infestations, and nutrient deficiencies, these conditions passed to the organization, which analyze the data, and provide better solutions to the farmer for better treatment.

Alex Petersen, owner of On Target Imaging states that if the farming approach changes from analog agriculture to digital agriculture then it will harvest more crops with minimum input and improves the overall farming method. 


Just like various other industries, the computer vision technology is quickly finding its applications in the banking sector, where it is being used to automate the various traditional banking procedures.

  • Mitek Systems

Mitek Systems has been able to leverage the computer vision technology to develop robust image recognition algorithms that are able to classify and authenticate various official documents, as well as, extract data such as ID cards, passports, driver’s licenses, and checks.

The application works by taking a photo of the customer id via a mobile device which sends to the user`s bank to verify the authenticity. When their authenticity is confirmed then the check or application process.  

The process starts when the user enters his mobile number into an application form of bank. A message will be received on his with a link the user can tap to open an image-capture experience, the user can select an image from an ID card, passport, or driving license. As the image uploads the application, send real-time feedback while ensuring that the image is captured in high quality. The app corrects the pictures as well such as distortion and poor lighting conditions.  


  • Osprey Informatics

Osprey informatics are used in the industrial sector to monitor the status or conditions of complex infrastructures and manufacturing divisions, such as work activity remote, wells, industrial facilities, and site security

In one study, the online visual monitoring system developed by the company was able to lower the number of onsite visits significantly, while also greatly reducing the overall costs of operations. The customer was searching for ways to make oil production efficient. Osprey place virtual monitoring system for monitoring and identifying new applications to increase productivity. The site visits were reduced to 50 % by using Osprey Solution. The cost visit per person also reduced from $20 to 1$

As per the company Website, computer vision technology is using in many industrial facilities including chemical factories, oil and gas platforms, and even nuclear power plants. Data collected from cameras and sensors are conveying to AI software. Which notifies the maintenance departments to take safety precautions before any big damage.

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what is a computer vision technology

What is a Computer Vision Technology?

What is a Computer Vision Technology?

Muhammad Imran


November 15th, 2020

Today, with decades of research and refinement, computer vision technology has greatly matured and very much a reality.

But what exactly computer vision technology is all about?

what is a computer vision technology

At the turn of the 20th century, computer vision seemed little more than a crazy unrealistic dream of scientists and scholars. The Summer Vision Project was perhaps the first computer vision project that was assigned to undergrads back in 1960. The key vision then was to utilize the computing power (whatever existed then) to develop a computer program (algorithm) capable of understanding, analyzing, interpreting, and responding to stimuli from the surrounding.

Since then there have been growing efforts to develop more robust and intelligent computer vision algorithms that are able to understand, interpret, and interact with the surrounding. The fast-track technological advancement in the 1990s that significantly reduced the prices and increased availability of high-powered supercomputers further increased the development of computer vision technology as engineers rushed to come up with more complex and robust mathematical models.

Today, with decades of research and refinement, computer vision technology has greatly matured and very much a reality.

But what exactly computer vision technology is all about?

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What Is Computer Vision Technology For SMEs and Enterprises?

To put it simply, computer vision is a subfield of Artificial Intelligence that is meant to take understand the visual components (imagery or video) for identification, analysis, processing, and extraction of information. It’s the technology that fuels the limitless application of image processing software, image segmentation overcoming the inherent limitation of the human eye to process the information from visual components.  

Today, computer vision technology is able to train models for effective and efficient analysis of the visual components (imagery and videos) to yield discreet information which otherwise isn’t possible for humans to do it on their own.

Computer vision has remained an area of study as a machine learning concept for quite some time. As far back as the 1950s, the raw concepts of computer vision were used to analyze environmental objects and systems. Although still in its infancy then, the core concept for the technology has remained consistent – devising useful information from the visual components using intelligent machine learning models that are able to identify, analyze and process information from visual components. However, the technological restrictions of that time-restricted the scope and application of computer vision technology back until the 1990s, when finally supercomputers were started to mass produce and be available for scientists to continue their research for the development of robust computer vision technology.

Today, the technology has matured greatly with advanced algorithms being developed for practical utilization of the technology in daily lives, which have proved to be of great worth for personal and commercial use. Today, various companies are developing comprehensive and advance computer vision technology applications with cross-industry utility.

Read our detailed guide on how does computer vision works?

Applications of Computer Vision Technology

Computer vision technology is making its way into all aspects of commercial and personal lives. Today, nearly all industry sectors private and public included are utilizing the power of computer vision technology to track, process, and interpret the world around them. Below we have come up with some of the top applications of computer vision technology;

Improved Online Merchandising

For the past two decades, online merchandising has solely relied on tags to understand customers’ search queries. For instance, to define a bag, an online merchandiser attach various tags with the products like “bag”, “Polyester”, “Black”, “cotton” or other tags that enable to refine the search results for the users.

The system has been working fine for online merchandising for decades, even though this wasn’t the most efficient or effective system. Nonetheless, with the rapid adoption of computer vision technology, this is soon going to change, making it must easier for customers to find the precise merchandise they are looking for.

The technology will essentially eliminate the reliance on tags for merchandise search, rather it will bring into place comparison for actual physical characteristics of products in the image. In simple terms, in the future, customers no longer would have to rely on tags to find out the best product, rather they will be able to perform image similarity to find the exact product (size, shape, color, and other physical characteristics) they are looking for.

Redefining the retail experience

Perhaps the most fascinating and exciting application of computer vision technology is its ability to redefine the retail experience for customers. Amazon Go is a prime example of the capacity and capability of computer vision technology for users.

If you already aren’t aware of the Amazon Go stores and image analytics, there are physical stores with no checkout lines. Customers can visit the stores with no cashiers. You can just pick up whatever you want and leave the store. The store is fitted with a camera system all across, which is able to track and identify the movements of shoppers. The smart cart carried by customers also comes with scanners, which instantly detect any items that are placed or removed from the cart. The powerful computer vision algorithms running the cameras automatically detect and make transactions for the items from customers’ online account, thereby, saving them the hassle of going through the cashier lines.

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what is a computer vision engineer

What is a Computer Vision Engineer – Beginners Guide

What is a Computer Vision Engineer?

Muhammad Imran


November 4th, 2020

At the core of its job, a computer vision engineer is tasked to create computer vision algorithms that are meant to process large visual data ad solve real-world problems.

what is a computer vision engineer

Computer vision engineering is one of the fastest-growing fields that deal with the ability of computers to read, analyze, and process digital images or videos. It’s an interdisciplinary scientific field that is at the centre of technological advancements and seeks to automate the human visual system. The computer vision engineers excel in developing complex machine algorithms that are able to understand, analyze, and extract key information from imagery. At the basic, the field is closely related to machine learning and artificial technology, where the end objective is to enhance the capabilities of the machine in achieving automation for various computer vision tasks.

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Folio3 is Your Best Computer Vision Engineer Partner

Computer vision engineering along with machine learning and artificial intelligence has significantly enhanced the machine capabilities for visual data analysis. Today, computer vision engineers are responsible for the development of robust algorithms to extract key information from the visual content. The technology may be used to analyze high-dimensional data and extract information in real-time, enabling businesses to boost their workflow processes and achieve higher productivity.

Folio3 is among the leading tech companies delivering businesses innovative and robust computer vision engineering solutions for image recognition. The company comes with extensive experience and proven expertise in offering digital image processing solutions meant to automate various tasks related to visual interpretation. The complex computer vision algorithms developed by the Folio3 offers unmatched precision and performance for teal-time and even offline digital image processed solutions. With strong expertise in the embedded systems and an extensive portfolio of high-utility tools to create innovative solutions, Folio3 is able to work with individual businesses to develop customize computer vision algorithms for unique business needs.

Folio3 also often collaborates with some of the leading tech businesses across the world, as a means to share knowledge and build better capabilities to create innovative and robust computer vision applications. The massive investment in the research and development teams has enabled Folio3 to come up with some of the most innovative and comprehensive computer vision products available in the market.

Some of the key computer vision solutions offered by Folio3 includes;

Digital image processing

Image Segmentation

Image Similarity

Compression and filtering

Image Analytics

Bio-metric identity authentication

Image and video-based indexing

Advanced computational imaging

Visual search

Video archiving and retrieval

Event detection and recognition

What is a Computer Vision Engineer Job Description?

At the core of its job, a computer vision engineer is tasked to create computer vision algorithms that are meant to process large visual data ad solve real-world problems. For much of the time, computer vision engineers conduct extensive research and testing of machine learning primitives and implement algorithms for testing accuracy and performance. Computer vision engineers work in teams with personnel responsible to implement novel embedded architectures. Some of the key skills for computer vision engineers including machine learning, image segmentation, and image recognition.

Necessary Skills

A large part of the question; what is a computer vision engineer is described by the skills possessed by the person. Since computer vision engineering is an interdisciplinary field, computer vision engineers come with skills in various fields including linear algebra, machine learning, development environment, object-oriented programming, critical-thinking skills, and others.

Learn more about how does computer vision works in this detailed guide.

What is a Vision Engineer Use Cases in the Real World?

Today, computer vision engineering is used extensively in cross-industry applications, with the core purpose of creating a more efficient and effective digital image recognition technology that is able to analyze, process, and extract vital information from the visual data. Some of the leading tech companies in the world including; Google, Amazon, Microsoft, Facebook, and others are investing USD billions in research and development of computer vision technology and come up with more powerful and comprehensive tools.

Some of the industries that have implemented computer vision engineering in their workflow processes to design and create better workflow processes include;








Below we have come up with some cross-industry application of Computer vision engineering;

Retail Industry


The latest sensation from Amazon is its retail outlet namely the Amazon Go store. It’s a futuristic retail concept with no cashiers. The shoppers don’t need to wait in line to pay for the things, rather they can just take up the things they want and leave the store. At present, Amazon Go has started in Seattle, Washington, where the store is fitted with an advanced camera system integrated with computer vision technology.

The computer vision technology that powers Amazon’s futuristic stores is called Just Walk Out. It enables people to take all the items they want, which are instantly scanned by the scanning devices, which in turn totaled the purchasing cost of the items and is deducted from the shopper’s digital wallet. The entire Amazon Go store is surveilled by cameras that are present on all the aisles and ceilings. The computer vision technology that powers that camera enables the comprehensive imaging system of the store to determine the place from where an item is removed by a customer, as well as when the customer put back an item to the shelf. The imaging system also enables the app to keep surveillance of the shoppers across the stores, ensuring the customers’ are billed correctly for the items they purchased.


Apart from the retail industry, the automotive industry is also fast integrating computer vision technology along with other data analytics technologies like machine learning and artificial intelligence to create the next generation of auto-drive cars. Here’s a use case of computer vision engineering in the automotive sector;


Waymo is a leading automotive business with a strong focus to create a better and safer transportation system. Google self-driving car project, or what we now know as Waymo is utilizing futuristic technologies like computer vision to create self-driving cars and robust sensors as a means to improve the safety and comfort of people.

According to the company, cars developed by Waymo are integrated with the sensors and software which are able to identify movements of vehicles, pedestrians, road movements, and others at 360-degrees. Waymo also claims that the company has already tested the software and sensors for over 7 million miles

on public roads, and has been successful in safe navigation of self-driving vehicles, through the daily traffic.

What is a Machine Vision Engineer Skills to look for?

Some of the key skills to lookout in a machine vision engineer includes;

- Computer vision knowledge

- Development environment

- Programming

- CV tools

Is computer vision a good career in 2021?

The demand for expert and experienced computer vision engineers has continued to increase for the past decade. With the projected growth of AR and VR technologies reaching over $200 billion in the next few years, the continuous development of self-driving cars and other digital image processing technologies, it can be safely predicted that computer vision engineers will remain in high demand for the foreseeable future.

How do I start a computer vision engineer career in 2021?

For being a computer vision engineer, you will need a Graduation degree in engineering (BE) preferably in the Computer Science field. You will also need to have a working knowledge of statistics, mathematics, programming, and other related fields.

What are computer vision engineer techniques?

Image Classification

Object Detection

Object Tracking 

Semantic Segmentation

Instance Segmentation 

Image Reconstruction 

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mini drones

How Mini Drones are Transforming the Traditional Industries – 13 Best RC Mini Drones With Camera

How Mini Drones are Transforming the Traditional Industries-

13 Best RC Mini Drones With Camera

Muhammad Imran


October 27, 2020

The best mini RC micro drones with camera used across various industries including agriculture, military, logistics and others. Affordable mini drones.

mini drones

Are you looking to purchase a mini drone? In recent years mini-drones have become hugely popular amongst people from all walks of life. From ai drones hobbyists to professionals, mini-drones have been a go-to tool to capture stunning imagery, as well as, perform various laborious tasks.

Now, the key to buying mini drones with camera is to understand your needs. Do you just need for getting some awesome imagery or looking to use it professionally in a specific field? Here in this blog, we have covered all possible aspects of mini drones with cameras with their uses. We will also be looking at some of the best mini drones with camera to help you choose the most suited mini drones for your required purpose.

So, let’s just dive in…

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Mini Drones for Livestock Management

The drones have come a long way into applicability in the agriculture industry. While precision agriculture is one of the most effective applications of drones in the agriculture industry, this isn’t the only purpose served.  

Today, mini drones with powerful AI-backed technology are enabling ranchers to better manage their animals. Given that livestock farming is a highly laborious work, mini drones can significantly help improve the livestock farm management across the fields, pastures, hills, and moorlands.

Traditional livestock management practices rely on human observations and tracking of livestock across the vast swaths of terrain, which is simply a hectic, laborious, and redundant task. Today, mini drones with various types of imaging equipment and AI-technology is enabling ranchers to keep close track of their cattle, across all types of landscape. The drones may be used to identify individual animals in the herd using coloured collars, tags, or other identification symbols.

By equipping mini drones with camera (specifically thermal cameras) it is also possible for ranchers to keep up with the livestock tracking even under the tree canopy, by looking at heat signatures of the livestock. Mini drones with camera are quite capable of tracking and herding the entire herd.

Some of the possible uses of mini drones with camera for livestock management includes;

Pasture utilization

Assessing livestock behaviour

Planning grazing distribution

Livestock monitoring


Some of the livestock management functions which may be performed by specific mini-drones include;

Mini drones with downward facing cameras may be used to track the motion and orientation of herd, as well as, track individual animals.

Mini drones with thermal imaging camera can be used to track herd location under the tree canopy or at night.

GPS sensors equipped mini-drones may be used to track the precise location of animals fitted with GPS collars.

Mini Drones for Solar Panel Inspection

The ability to cover vast swathes of lands for surveillance purposes and capture high-resolution bird eye view imagery is certainly one of the key features of mini-drones. Just like the increasing use of mini drones with camera for livestock management, these highly precise flying robots are also extensively used to manage solar farms and inspection.

Businesses in the energy sectors across the world are exploiting cutting-edge technologies with mini-drones to improve their efficiency for monitoring solar energy farms, as a means to continue to supply reliable and affordable energy to customers.

Challenges of Solar Farm Inspections

The energy needs are soaring across the world, as energy companies struggle to keep up with the demand. With an increased focus on green and renewable energy generation, businesses are investing in the development of massive solar farms spread across thousands of hectares; typically in arid areas. Typically a solar farm spread across 2500+ acres would be required to generate energy for 100,000 households, which gives a clear idea about the giantess of the scale we are talking about.

Traditionally, solar farms are to be managed manually by human inspectors carrying thermal imagers to identify broken or defective cells amongst thousands of solar panels. This isn’t just a massively time-intensive process but also difficult to keep track of all the faulty panels; given the massive scale of the solar farms.

Today, companies are exploiting the power of mini-drones equipped with thermal imaging sensors to perform surveillance and maintenance of solar farms. These powerful flying robots offer a fast, reliable, and cost-effective alternative to manual inspections; cutting inspection time by as much as 70%.

How Folio3’s AI Mini Drone Inspection Solution Works?

Folio3 has been actively working to come up with powerful hardware and software solutions for mini-drones to enable them to take on more aggressive roles. From working with powerful thermal cameras to the development of complex AI-based algorithms to identify anomalies in solar farms, the company is coming up with innovative solutions to keep up the inspection needs of the solar farm management. Some of the solar farm management solutions offered by Folio3 includes;

Identification of hotspots on solar cells

Identification of shattered cells

Identification of dirty solar panels

Fogging anomalies

Identification of diode failures

Other anomalies detection.

Mini Drones for Terrain Mapping

Terrain mapping is another field where powerful mini drones with the camera have transformed the traditional systems. The continuous evolution of drones; integrating cutting-edge technologies make them the perfect solution to be used for various terrain mapping purposes including;

Land surveys


3D mapping

Topographic survey

Terrain mapping enables farmers, and city planners to quickly acquire the key terrain data required to effectively plan the utilization of lands. Typically, the survey is performed manually using various sort of surveying equipment, which isn’t just a too complex and time-consuming process but also compromise on the preciseness of the survey. 

Today, mini drones equipped with LiDAR are able to traverse through vast swathes of lands to capture key data, which can be used to create 2D or 3D models of the terrain.

How accurate are drone surveys?

The preciseness of drone surveys may vary depending on the techniques of the survey, as well as, the technology of the equipment used for surveys.

If we are to look at the established accuracy of the mini drones for terrain mapping, we have examples of drones achieving an accuracy of 2 cm and 1.20 cm relative vertical and horizontal accuracy respectively.

This level of accuracy is sufficient for various types of applications including terrain mapping for construction progress or crop growth. Whereas, for even higher accuracy required for very specific tasks drones can be added with real-time kinematics (RTK) capabilities.

Folio3 is your Custom Drones Mini Tech Partner

Today, AI drones mini are finding their way into all professional fields and practical uses. Apart from Artificial Technology, other futuristic technologies like Computer Vision and Machine Learning have enabled the development of smart machines that are able to capture imaging using different sensors and perform data analytics automatically to improve the response time.

Folio3 is at the helm of the development of innovative AI-based drones mini technology. The company has been working extensively on the development of complex algorithms and innovative software solutions to come up with effective, and efficient drone-based solutions to real-world problems. By closely collaborating with the professionals in the industry including farmers, ranchers, surveyors, and others the company has been able to make viable and practice solutions developed for real-world problems.

9 Best Mini Drones with Camera

1) DJI Spark Mini

DJI is definitely one of the biggest names when it comes to RC mini drones. The company has manufactured some of the best mini drones with a camera and this DJI Spark Mini is no exception. This brilliant mini drone once powered on will take-off in a few seconds. The powerful camera system that comes with the drone is able to capture stunning aerial imagery by your hand gestures. The Intelligent Flight Modes and intuitive control certainly make it one of the best mini drones with a camera.


- Intuitive front camera controls with hand gestures

- Compact and easy to carry around

- Mechanical stabilization

- Adjustable camera angle

- GPS and GLONASS satellite positioning for superior flight stability


- Only support video recording of up to 1080p

- Short battery timing

- Short hover time


2) Potensic A20 Mini Drone

This is ideal drones for kids and beginners who have just ventured into the drone flying hobby. The Potensic A20 Mini drone comes with 3-speed levels for easy flight control and greater stability. The drone can be easily controlled for flight directions using a remote control.


- Protection against collision

- Lightweight and compatible

- Up to 12 minutes of flight time

- Emergency stop function


- More suited for beginners and children

- No GPS


3) Syma X11 Mini Drone

The Syma X11 Mini is another great mini drone for kids and beginners that comes with an awesome 6 axis gyro direction stabilizer, making it a perfect drone for beginners. The drone is able to perform 360-degree flips and other aerial tricks.


- 2 MP HD camera

- Up to 8 minutes of flight time

- Blade protector for flight safety

- Flashing color lights


- No option to view real-time videos

- Slow charging speed


4) Hubsan X4 H107L Mini Drone

The Husban X4 H107L Mini drone is a great option for people looking for some cool drone for indoor and outdoor use. the quad-rotor thrust in the drone enables it to handle many outdoor purposes, whereas, the LiPo battery ensures your drone gets charged super quick.


- Higher thrust and low weight

- Easy to perform aerial tricks

- 100-meters range

- Direction control

- Up to 8 minutes of flight time


- Not suitable for extreme outdoor use (heavy winds or rainfall)


5) Cheerwing Syma X20 Mini Drone

This is one of the smallest quadcopters that’s available in the market. It’s also one of the best mini drones for indoor use. The drone comes with a propeller protector and a built-in battery. The drone can perform 3D flips and can easily be controlled for directions.


- Smart propeller guard

- Easy take-off and landing

- 360-degree eversion

- LED lights


- No camera

- Short flight time


6) Hover Passport

As can be taken by name, it is an intelligently built mini drone that can easily be carried anywhere. the extreme simple control functions make it one of the best mini drones with a camera. All you need to do is to toss it up and the drone will start hovering. The intelligent system that powers the drone is able to visually locks the controller, making it a great choice for taking awesome selfies.


- Easy control

- Compatible 

- Intelligent visual locking system


- Expensive


7) Ryze Tello

This awesome drone is manufactured using various parts from DJI, which is one reason why it’s also being sold on the DJI website. However, this isn’t a DJI product, as most people get confused by looking at it on the official DJI site. Nonetheless, it’s a great flying machine that may be used for various purposes including education and taking great shots.


- Easy to handle

- High-end in its class

- Great for beginners


- Built from using off-the-shelf components from different manufacturers


8) UVify OOri

The UVify OOri comes with a long shining history in drone racing. It is certainly one of the best mini drones with a camera for racing purposes. The best part about the drone is its multiple flying speed levels, which enable it to fly slowly for indoor settings, whereas, it can attain a speed of over 50MPH during races.


- Legacy race drone

- Dual speed levels

- Agile and lightweight


- Most suited for beginners


9) Yuneec Mantis G

The Yuneec Mantis G is the successor or Mantis Q and surely one of the best mini drones with a camera. The machine comes with a new stabilized camera system, higher flight time, sleek and compact design, as well as, easy controllers.


- Agile and lightweight

- Superior flight time

- New camera system


- Expensive

4 Best Micro Drones with Camera


1) Hubsan X4 H107C

The Husban X4 H107C comes in a variety of color range with a built-in 0.3MP camera. This little tiny machine is able to capture videos. While it’s more expensive than some of the other quadcopters available in the market, it does have more features like six-axis gyro technology.


- Video recording

- Flight stabilization

- Durable frame


- Costly

- Need to purchase SD card separately


2) Blade BLH7280 Nano

The blade is a recognized name in the micro drone manufacturer industry and the BLH7280 Nano doesn’t disappoint either. The drone comes with a camera and some great features; although it is also priced a little higher than some other micro drones. The Blade has integrated its patented SAFE technology to make it easy to control, as well as, safe for flying in indoor settings.


- Small compact design for indoor flights

- Lightweight durable design

- Includes extra blades

- SAFE technology


- Relatively costly


3) KOOME Mini Drone Nano Quadcopter

The KOOME Mini Drone Nano Quadcopter is the best drone with a camera for first-time hobbyists. The drone offers a detailed and easy learning curve, with no prior skills needed. It also packs some cool features; just to give you a real feel of flying an actual drone.


Easy control

High-speed manoeuvres

Easy to control


Short flight time


4) EACHINE E10C Mini Quadcopter Drone with Camera

Eachine E10C is a great flying tool that’s pocket friendly and able to take some stunning shots. It’s an ideal drone for hobbyists looking to take some magnificent shots during travel. While it’s super tiny in size, it doesn’t compromise on features. The 2MP built-in camera will certainly perform better than your expectations, whereas the dual flight modes allow users to choose different speed modes.


Superior 2.0 MP camera

Durable and portable design

Dual flight modes

LED markers for higher visibility


Not much suited for beginners

Drones Mini for Commercial/Business Applications and Use Cases

Mini drones have been extensively used in various commercial/business applications. From science to farming and from entertainment to supply chain, today mini drones with cameras are taking over different roles and purposes to better serve the commercial and business sectors. Some of the commercial uses of drones mini technology includes;


Drones are the natural choice for the entertainment industry given their ability to take amazing shots from above. The entertainment industry is also one of the first industries to incorporate the use of drone technology into workflow procedures and processes. Today, mini drones with cameras are revolutionizing the way the entertainment industry operates, opening a whole set of new opportunities for the industry to create innovative and engaging content.

From the entertainment giant Disney to local content creators, businesses are incorporating the use of drone technology to create stunning content.


Apart from the entertainment industry, advertising is yet another media-related industry that has massively invested in the use of mini-drones. Mini drones with cameras are used in the advertisement industry to create bespoke and enchanting advertisements as a means to engage more customers.

Today, advanced AI technologies are pushing the limits of drone technology being used to create stunning shots across the advertising industry. The technology is also being used by various private businesses like restaurants and hotels to create an exquisite advertising campaign for the products.

Emergency Response

The use of drones in emergency response roles is not new. In fact, drones have been used excessively as first emergency responders across the United States, Canada, Europe, Australia, and other parts of the world. Today, as new powerful drone technologies are being introduced in the market, it is becoming possible to utilize drones for rescue and relief operations across disaster-struck regions. Government and private agencies alike, are exploiting the remote reach and accessibility of drones into the disaster-struck areas to offer relief services to injured or stuck people. In fact, AI-powered drone technologies in the medical field like Defibrillator are making it possible to use mini-drones as medial agents to save precious lives.


Logistics is one of the latest commercial fields where drones have just started to make an impact. While the utilization of mini-drones for logistic purposes is still limited, companies like Amazon are already testing the efficiency and effectiveness of the drone fleet to manage parcel delivery. Other companies are also testing the technology to identify areas where mini drones with AI technologies can help them automate workflow processes.

Drones Mini for Agriculture Purposes

As stated above, drone technology has transformed agricultural practices for good. Today, mini drones powered by AI technologies are readily taking over various traditional tasks associated with the agriculture industry like soil mapping, terrain analysis, crop health monitoring, and others.

Here are some of the widespread use of drone technology in the agriculture industry;

Soil Mapping

Mini drones with multiple imaging systems including thermal and infrared imaging systems enable farmers to keep up with the monitoring of soil quality. The powerful analytical tools offered by companies like Folio3 enable automated processing of imagery to give farmers a clear picture about the soil condition and take precautionary steps.

Seed Planting

Another advanced application of drone technology is helping farmers with seed planting. This is a recently introduced technology that is still being tested for efficiency. Nonetheless, mini-drones programmed with AI technology can help farmers with seed plantation across the fields, greatly reducing the time required for seeding and harvesting.

Crop Health Monitoring

Drones with infrared sensors and AI-technologies are able to consistently check crop health using image analysis algorithms like NDVI. This enables farmers to keep close track of the crop health and identify any potential disease before it spread across the harvest.

Best Mini Drones for Military and War

Drones were first created to serve military purposes during WWI. In fact, the military is the biggest user of drone technology, where it is being used to carry out various roles. Today still, various companies are exclusively working to develop drones for military and war purposes, which with time also finds their way for civilian and commercial use. Some of the biggest manufacturers of the best mini drones for military and war purposes include;

1) AeroVironment

AeroVironment comes with a long history of developing powerful mini drones for military and war purposes. The USA-based company is known for the development of mini-drones with powerful technologies including GPS technology and computer vision. The company is also attributed to developing the “Raven” drone, which is the most widely used AI-powered drone for military and war purposes.

2) Lockheed Martin

Lockheed Martin remains the spearhead of the American defense industry and the company doesn’t lag when it comes to the development of powerful drones for military and war purposes. The company has been active in the development of cutting-edge military drone series like Desert Hawk that comes with advance AI features, giving militaries the competitive advantage they need to thrive over the competitors.

3) Sheild.AI

Sheild.AI is another USA based drone manufacturer, widely successful in developing innovative mini drones for military and war purposes. The company is best known for its super-agile and robust autonomous quadrotor – Nova.

Mini Drones with Camera for Various Use Cases

Some of the use cases of mini-drones with the camera includes;

Shipping & Delivery

Retail giants like Amazon and Alibaba have already developed an entire fleet of drones with cameras to cater to their needs for parcel delivery. For this purpose, mini drones with camera and powered by GPS technology is being used to plan the route of the parcel delivery and ensure that it reached its destination safely. While this is still a relatively new avenue for drones, there’s a massive potential for businesses to exploit drones with cameras to gain a competitive edge.

Disaster Management

Mini drones with cameras are also widely used in the disaster management field, where they are used to locate people in disaster-hit areas. The capability of drones to enter into disastrous areas faster and safer make it an ideal disaster management tool for surveillance, relief, and even rescue operations.

Search and Rescue

Apart from being used in disaster management, the mini drones with cameras are also widely used by government and private agencies to carry out search and rescue operations across remote terrains. This is widely used by agencies to track lost persons in mountainside or deep in the forest. By equipping thermal sensors, mini drones can also be used for night time surveillance purposes.

Where to buy mini-drones online?

Amazon is certainly the best place to buy mini-drones online.

What kind of pictures do mini-drones take for commercial purposes?

Mini drones are able to take reconnaissance and surveillance level images for commercial purposes. Some of the more advance mini-drones may also carry thermal and infrared sensors or LiDAR sensor for commercial imaging.

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Agriculture Drone Software

Agriculture Drone Software – The Technology Powering the Food Security of the Future

Agriculture Drone Software – The Technology Powering the Food Security of the Future

Muhammad Imran


October 20, 2020

The agriculture drone market is expected to reach over USD 4.8 billion in the next five years with a CAGR of over 31%. That’s one reason why tech companies and big businesses are already investing fortunes into the development and manufacturing of a new breed of agriculture drone software, which can cope with the pressing needs of the future.

Agriculture Drone Software

It is estimated that the world’s population will reach over 9 billion in the next 3 decades. That’s 2 billion more souls to share the already dwindling resources, and 2 billion more mouths to feed. At present, the agricultural produce across the world is already under stress to keep up with the ever-increasing number of people to feed and the massive increase in the coming decades will eventually lead to widespread hunger and deaths; provided we aren’t able to bring in new technologies to significantly enhance the overall productivity. 

The agriculture industry today is already moving towards new ai drones technology; embracing innovations and looking to breakthroughs that may further improve the overall process and yields. The most impactful technology to gain traction in the agriculture industry is drones. Drones have become the next “Big Thing” in the agriculture industry; opening up massive new avenues for farmers to automate traditional processes and manifolds the crop yield with robust farm management.

The agriculture drone market is expected to reach over USD 4.8 billion in the next five years with a CAGR of over 31%. That’s one reason why tech companies and big businesses are already investing fortunes into the development and manufacturing of a new breed of agriculture drone software, which can cope with the pressing needs of the future.

Start Gowing with Folio3 AI Today.

We are the Pioneers in the Agriculture Drone Software - Do you want to become a pioneer yourself ? Get In Touch

Folio3 is Your Custom Farming Agriculture Drones and Applications Partner 

Folio3 is a well-established name in the agriculture drone software industry; bringing in new and powerful technologies to assist farmers in better and robust field management. Over the past many years, Folio3 drone agriculture software solutions have made their way into various agriculture practices including terrain mapping, livestock management, and solar power management for farms. The company has been working in close collaboration with farmers in the USA to come up with AI drone agriculture software to transform and automate the traditional agricultural practices.

Some of the potential benefits offered by folio3’s drone agriculture software include;

Aerial Data Collection

Coupled with powerful imaging sensors, and cameras drone agriculture software from Folio3 enables farmers to have bird’s eye view imagery for the farm for faster and better management. Some of the imaging sensors that can be used as payloads on agriculture drones include; thermal, LiDAR, infrared, visual, and others; enabling comprehensive monitoring and evaluation of crops.

Data Analytics

To even further automate the crop health management, Folio3 AI-based drone agriculture software enables automated analysis of the imagery and delivers real-time interactive reports to farmers; enabling them to spot any crop health issues before it affects the crop yield.

Delivering Action

The automated AI-based agriculture drone software from Folio3 can be sued to pre-program drones for specific tasks like monitoring routes, terrain mapping, spraying, and others, fastening the farm management process, and reducing the cost of the agriculture practice.

Below, we have come up with some specific applications of Folio3 drone agriculture software solutions that are already enhancing the agriculture industry massively;

Folio3 Agriculture Drone Software for Terrain Mapping

The ability to capture bird eye view imagery of terrain makes drones the perfect solutions for farmers to monitor and evaluate terrain for agriculture. Folio3 terrain mapping solutions offer farmers programmable solutions to perform detailed and real-time terrain mapping of the fields to better prepare for the harvesting. 

The AI-powered algorithms from Folio3 can be used to create 3D terrain maps of the farms using point data from LiDAR. This is especially helpful to promote high-potential farming practices in mountainous terrains, by giving farmers the clear reconnaissance imagery for land preparation. Also, large farms covering hundreds and thousands of hectares can be easily mapped and managed using automated terrain mapping drones.

Folio3 Agriculture Drone Software for Solar Inspection

Another brilliant agriculture drone software solution by Folio3 that has helped hundreds of farmers across the United States is solar inspection solutions

Solar panels are being widely used by the farmers as an alternative to traditional energy. Farmers rely on these solar farms to produce the energy required to power tube wells, and other related farming activities. This isn’t just a greener approach, but also enable farmers to save fortunes in energy expenses.

Folio3 advanced integrated agriculture drone software solution enables farmers to keep up with the maintenance and management of the solar panels. The drones can be preprogrammed to conduct aerial surveillance over the solar panels and send real-time imagery for monitoring and maintenance purposes. This not only saves much time and costs compared to manual surveys but also enables farmers to identify any malfunctioned or broken panels for timely repairs or replacement.

Folio3 Agriculture Drone Software for Livestock Monitoring

Last but not least, Folio3 has also developed integrated livestock management and monitoring software solutions for the agriculture industry. The AI-powered agriculture drone software can be preprogrammed to ensure consistent and real-time surveillance and monitoring of livestock across the fields. 

What are the Advantages of Agriculture Drone Software for Startups?

While big farms have already started to adopt agriculture drones into daily farm management, small farms have been somewhat hesitant to adopt; primarily due to the upfront cost of the technology, as well as, unawareness about the potential benefits.

Below are some of the advantages of agriculture drone software for startups and small farms;

Reduces Production Costs

For startups and small farms, the production costs are always the top of the mind. While the upfront cost of the technology may be on a little higher end, the overall benefit of automating various agriculture practices like crop assessment, precision agriculture, and field scouting, significantly reduces the overall production costs.

Overcome Labor Shortages

Farms in the USA have been dealing with labor shortages for decades. Now with powerful drone agriculture software solutions, it’s possible for farms to comprehensively manage farms without much need of laborers, as drones take over various laborious tasks.

Technology is becoming Cheaper

The massive R&D activity and involvement of big tech firms like Folio3 in the industry have made a significant impact on the availability and prices of agricultural drones. Today, it’s possible for startups and small farms to adopt the technology without breaking the bank.

What are the Benefits of Agriculture Drone Software for SMEs and Enterprises?

Similar to startups and small farms, the agriculture drone software technology brings a myriad of benefits to SMEs and Enterprises including;


While previously farmers may have their suspicions towards the reliability of the technology, today the technology has matured greatly and offered consistent reliable solutions for farmers. Whether it’s for surveillance purposes or precision agriculture practice, you can rely on agriculture drone technology to deliver precise results every time.

Real-Time Insights

The key to success in agriculture today lies in the ability in real-time surveillance and monitoring of the crops to identify any crop health issues and take precautionary measures. With AI-powered programmable drone software, it is possible for farmers to keep up with consistent surveillance for crop health monitoring with real-time insights and take timely actions for higher yields and better productivity.

Drone Ecosystem Has Emerged

Drone technology today doesn’t offer discreet solutions; rather companies like Folio3 and others are offering a complete agriculture drone ecosystem that can be used as an integrated solution for complete farm management; from terrain mapping to surveillance and from harvesting and spraying to precision agriculture.

What is the Other Drone Software for the agriculture industry?

Some of the best drone Software for the agriculture industry includes;

SZ DJI Technology Co., Ltd.

Headquartered in Shenzhen, China, SZ DJI Technology is among the biggest agriculture drone software solution provider. The company is involved in the manufacturing of powerful drones, along with integrated software solutions to automate various traditional practices related to the agriculture industry. SZ DJI technology maintains a strong presence in China, the USA, Canada, Europe, Latin America, and Africa.

PrecisionHawk Inc.

PrecisionHawk is a US-based drone manufacturer founded in 2010. The company is actively involved in the development of a new generation of powerful drones along with specific software solutions for agriculture, energy, construction, and other industries. PrecisionHawk maintains its geographical presence across Latin America, North-America, Europe, and Australia.

How can drones software be used in the agriculture industry?

Some of the applications of drone software in the agriculture industry include;

Precision agriculture

Prevents infestations

Moisture Mapping

Crop health monitoring

Livestock management

Crop quality monitoring

Precision spraying, and

Seed Harvesting

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We are the Pioneers in the Cognitive Arena - Do you want to become a pioneer yourself ? Get In Touch

Please feel free to reach out to us, if you have any questions. In case you need any help with development, installation, integration, up-gradation and customization of your Business Solutions. We have expertise in Deep learning, Computer Vision, Predictive learning, CNN, HOG and NLP.

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