How Do I Use Google Face Recognition APIs for SMEs and Enterprise

how do i use google face recognition

In today’s digital world, everyone has access to a camera at all times. Furthermore, illegal images of you might quickly spread throughout the internet without your knowledge. Wouldn’t it be fantastic if you knew how to run a Google face search to find them?

At first glance, conducting Google face searches appears to be contentious, as it may result in privacy concerns. Face searches, on the other hand, have a lot of good purposes, such as looking for stolen or leaked photographs, recognising false profiles, and avoiding online scams.

Furthermore, marketers might use a Google face search to assess the effectiveness of marketing and public relations campaigns by looking up specific images that have been published and shared by third parties.

Also: Read our detailed guide on how does facial recognition software works?

How to Get Benefits of Google Face Recognition

There are numerous advantages that facial recognition can provide to society, ranging from minimizing unnecessary human interaction and labor to preventing crimes and boosting safety and security. It can even aid boost medical efforts in rare cases.

  1. Locating missing persons and determining the perpetrators.

Face recognition is used by law enforcement authorities to identify offenders who have no other way of being identified and to locate missing people by comparing faces on live camera feeds with those on a watch list.

  1. Defending businesses from thievery.

Anti-shoplifting software such as facial recognition software can be an effective preventative tool. The software and security cameras are used by business owners to identify known or suspected thieves, and the existence of the cameras deters theft in the first place.

  1. Banks and airports need to improve their security safeguards.

Facial recognition can also help improve security and safety in places other than stores, such as airports and banks.

Another advantage is that technology can perform border inspections considerably faster and more accurately than people can.

  1. It is significantly more efficient to shop.

While detecting and tracking down missing people and criminals are undoubtedly the most crucial advantages of facial recognition, they also provide ease. Face recognition technology may recognise your face and bill the goods to your account instead of making cash or credit transactions in businesses.

  1. Human touchpoints are drastically reduced.

Other sorts of security procedures, such as fingerprinting, need more human resources than facial recognition. It also doesn’t necessitate direct human engagement or physical contact. Instead, it employs artificial intelligence (AI) to make decisions.

Role of Video Analytics in Facial Recognition

This AI bubble includes cloud-based video analytics, which is critical for surveillance and monitoring. Artificial intelligence (AI) video and facial recognition systems function as smooth and fast video footage analysis solutions that provide real-time intelligence and post-event investigations.

Using AI and machine learning, video analytics and facial recognition (VA-FR) systems locate and recognise unattended objects and misaligned human behavior. They immediately inform through their speakers if they notice any unusual activity. This is especially useful in public settings where terrorist activities such as bomb explosions are possible.

What role does computer vision play in face recognition?

Face recognition image output from computer vision

Computer Vision and Facial Recognition’s Importance

The following fields rely heavily on computer vision technology. Optical character recognition allows a scanner to recognise and identify text in documents (OCR). Iris patterns are used in vision biometrics to track out missing people.

Face Recognition Software by Folio3

Folio3 intended to create a solution that provided a highly accurate facial recognition system with real-time results based on Histogram of Oriented Gradients (HOG) and Convolutional Neural Networks (CNN). We were able to accurately demonstrate results in real-time using the dLib for face recognition and object oriented detection.

Biometric face recognition technology, which uses the human face as a key to security, has gotten a lot of interest in recent years because of the promise it provides for a wide range of applications in both law enforcement and non-law enforcement verticals.

Our Solution’s Key Features

  1. Faces that are unique.

When specific faces are detected, they can be registered in advance to alert the system or authorities. Faces of repeat shoplifters and wanted criminals, for example, can be simply registered in the facial recognition system using previous data.

  1. Face-hunting.

Face photos can be utilized to run searches, which can aid in directly discovering a specific person or individuals in the database because the technology compares the specimen’s face to images in real time.

  1. Data Management 

By importing generic photo data in the JPEG format, information can also be shared between facial recognition systems. After that, the generic photo data can be saved in numerous databases and utilized as an archive or for real-time face search.

  1. Notifications

The system can also send out proactive pop-up notifications to users when specific face images are detected, assisting in the identification of a specific person. Alarms can display pop-ups on the screen, generate warning sounds, or flash the camera on the map to alert the operator.

Begin your journey with Folio3 today.

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