Face Recognition

Use deep face recognition to match human faces against a database in real-time videos.

What Is Face Recognition?

A face recognition system uses computer vision technology to match a human face from a digital image or video frame against a database of faces. Deep learning algorithms are able to identify human faces in real-time using the video streams of digital surveillance cameras or webcams.

The performance of face recognition models using deep neural networks has drastically increased over the past five years. State-of-the-art algorithms achieve above human-level performance in Face recognition tasks (above 97.53%)

Features of Facial Recognition with Deep Learning

The frames of video cameras are analyzed to detect and localize human faces. Subsequently, facial recognition is applied to effectively identify the subject.

  • Face verification is the process of comparing a face with another to verify if it is a match.
  • Facial recognition refers to finding a face in an image database. The process is based on many iterations of face verification.
  • Performing face recognition with camera streams of surveillance cameras.
  • Edge AI allows high-performance applications of face recognition by combining on-device processing with cloud-based look-ups.

The Value of Face Recognition

Facial recognition is one of the most popular computer vision applications. Although the accuracy of facial recognition is still lower compared to iris recognition and fingerprint recognition, it is widely adopted due to its contactless process. The technology has made tremendous progress over the past few years with many AI face recognition models developed by Google, Facebook, and others achieving close to 99% accuracy.

  1. Automated and non-invasive identification of one or multiple people.
  2. Smart video surveillance for infrastructure protection in real-world settings.
  3. Accurate AI models with near-real-time performance that are increasingly robust to occlusions, expressions, illuminations, and pose.
Industries
Last updated
September 20, 2021
Usage
Requires Viso Suite
Support

How to get started

This solution is built on Viso Suite, the all-in-one computer vision platform to deploy, run and scale the solution with powerful tools and infrastructure.

To get started, request a personal demo, we will put together a plan that includes all the services you need to get started.

You are in good company

Other Solutions

Automatic Number Plate Recognition (ANPR)
Automatic Number Plate Recognition
Automated Number Plate Recognition to identify vehicles in real-time.
Get started
Eye Gaze Detection
Eye Gaze Detection
Eye tracking and gaze detection for monitoring the attentiveness and stress levels.
Get started
Abandoned Object Detection
Abandoned Luggage
Automatically identify suspicious or dangerous objects placed in public places.
Get started

All-in-one platform to dramatically simplify real world computer vision

Get started with a demo. See how your organization can deliver AI vision technology 10x faster.

Would you like a demo?

See how your team can build any real-world AI vision system faster with our business or enterprise solution.

Schedule a live demo

Not interested?

We’re always looking to improve, so please let us know why you are not interested in using Computer Vision with Viso Suite.