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.
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
Perception
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 youâ. The main focus is to store the personâs 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 companyâs 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 clientâs requirements.Â
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.
Letâs 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 arenât 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.
Applications
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.
Applications
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.
Healthcare
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.
Agriculture
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.
Banking
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, driverâs 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.
Industrial
- 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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