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Facial Recognition

IntelliVision’s Face Recognition product is a fast, highly accurate, deep learning-based facial recognition solution for OEMs, integrators and developers that can detect human faces of all ethnicities and recognize them from a database of images. Optimized for working in-camera with restricted CPU power it can also be used on-server, or in-cloud.

AI-based Face Recognition

Face Recognizer searches an existing database of faces and compares them with the faces detected in the scene to find a match. Face Recognizer detects faces in the camera's field of view - as many as 15 at the same time - and matches them against faces previously stored in the database. Anti-spoofing is provided through "liveness" testing without the need for a stereo or 3D camera. Faces can be enrolled in the database from existing still images or from the video camera itself.

Key Features of Face Recognizer

  • Recognition in real time, depending on resources
  • Facial recognition accuracy over 99.5% on public standard data sets
  • Easily enroll faces from still or video images
  • REST API for building into applications and devices
  • In use in thousands of cameras for access control, VIP greeting, shoplifter and unwanted person applications
  • Detect matches with faces in the database and provide alerts
  • Create a log of faces in the scene for later investigation
  • Search for similar faces from a single camera or across multiple cameras
  • Anti-spoofing technology ensures the system cannot be fooled by a photo or video image
Access control

Perfect for access control systems. Build into building security systems, turnstiles, gates and kiosks, as well as Smart Home security and personalization applications.

Identify and capture human faces

Trained on millions of images from across the world, faces from multiple ethnicities are easily detected. Faces can be enrolled from still images, live and pre-recorded video.

ery low FRR and FAR rates

Very low FRR and FAR rates. Confidence level can be adjusted up or down and recognition improved with additional training.

 

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Facial Recognition – Accurate and Fast

Using AI and deep learning, Face Recognizer has achieved accuracy benchmarks comparable to or better than industry leaders like Google and Facebook. It scores the following accuracy in the leading public test databases – LFW: 99.6%, YouTube Faces: 96.5%, MegaFace (with 1000 people/distracters): 95.6%.

Facial Recognition accuracy as high as 99.6%

High Accuracy

Facial Recognition accuracy as high as 99.6% on public standard data set.

Recognition in both real time and off-line modes.

Real Time

Recognition in real time or off-line.

Recognition is available in both real time and off-line modes and enrollment is available from both video and still images. Recognition is achieved by analyzing multiple images per face and can be achieved in less than 0.5 seconds depending on resources.

Face Recognizer is available with a REST API/SDK for OEM partners and application builders. Easy integration of alerts is achieved through http/JSON and an open architecture.

Available with API/SDK

Available with REST API/SDK

For OEM partners and application builders.

Linux, inside camera, cloud solution and embedded systems.

Available on

Linux, inside camera, cloud solution and embedded systems.

Runs on Linux or Windows for server-based deployment, 1-16 cameras per PC based on CPU capacity. In-camera/embedded, Face Recognizer works with various camera platforms and popular chipsets running Linux. On-cloud it is available as a Web Server Application and through Cloud Web Services API Interface.

Why Face Recognizer?

AI-based face Recognition

AI-based Face Recognition

Perfect for access control applications either in-camera or on-server. Build applications to identify intruders, loiterers, persons of interest and unwanted persons

Continuous Logging of People and Faces

Continuous Logging of People and Faces

Automatically create a log of people in the camera or scene which can be used for forensic investigations

Highly Accurate Facial Recognition

Highly Accurate Facial Recognition

Enable automated matching against a watch list with real time alerting

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