• Train




          Data Collection

          Building Blocks​

          Device Enrollment

          Monitoring Dashboards

          Video Annotation​

          Application Editor​

          Device Management

          Remote Maintenance

          Model Training

          Application Library

          Deployment Manager

          Unified Security Center

          AI Model Library

          Configuration Manager

          IoT Edge Gateway

          Privacy-preserving AI

          Ready to get started?

          Expert Services
  • Services
        • Resources



          Why Viso Suite?

          The Viso Blog

          About Viso

          Evaluation Guide

          Explore Use Cases


          Viso Suite Whitepaper

          Industry Reports

          Support Center

          ROI Impact Study

          Technology Guides


          Security & Trust


          Why Viso Suite

          Viso Suite is the leading end-to-end computer vision infrastructure to build, deploy, and scale AI vision dramatically faster and better.

  • Pricing

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.
Last updated
September 20, 2021
Requires Viso Suite

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
PwC Logo

Other Solutions

Analog Instruments Reading
Computer Vision application to read analog dials such as gauges, digital displays, and warning light colors using cameras.
Computer vision for mechanical controls recognition
Product Detection
Product detection uses deep learning to detect different product types automatically.
Pothole Detection
Automated detection of potholes with AI vision
YOLOv8 applied in smart cities for pothole detection.
Play Video