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Facial Recognition Software

IntelliVision’s Face Recognition software is a fast, accurate, deep learning-based facial recognition solution for OEMs, integrators and developers that can detect faces of all ethnicities, without racial bias, 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

IntelliVision facial recognition software searches an existing database of faces and compares them with the faces detected in the scene to find a match. Face Recognition 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 IntelliVision Facial Recognition Software

  • Facial recognition accuracy exceeds 99% on public standard data set
  • Face recognition in real time, depending on resources
  • Easily enroll faces from still or video images
  • Zero gender or racial bias through model training with millions of faces from datasets from around the world
  • Anti-spoofing technology ensures the system cannot be fooled by a photo or video image
  • Detect matches with faces in the database and provide alerts
  • Create a log of faces in the scene for later investigation
  • REST API for building into applications and devices
  • Search for similar faces from a single camera or across multiple cameras
  • In use in thousands of cameras for access control, VIP greeting, shoplifter and unwanted person applications
Access control

Facial recognition is perfect for access control systems. Build into Smart Building security systems, turnstiles, gates, even vending machines, as well as Smart Home security and personalization applications.

Identify and capture 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.

Very low FRR and FAR rates

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


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Facial Recognition – Accurate and Fast

Using AI and deep learning, IntelliVision's face recognition has achieved accuracy benchmarks 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%

High Accuracy

Facial Recognition accuracy exceeds 99% on public standard data set.

Face recognition in both real-time and off-line modes.

Real-Time Recognition

Face 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. Facial recognition is achieved by analyzing multiple images per face with millisecond response times depending on system 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.

X-Platform Availability

Runs 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, facial recognition software 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 IntelliVision Face Recognition?

AI-based Face Recognition

Fast, AI-based
Face Recognition

Perfect for access control applications either in-camera or on-server. Identify persons of interest and unwanted persons

Continuous Logging of People and Faces

Anti-Spoofing and No Gender/Race Bias

Liveness testing with 2D cameras, and models developed with multi-ethnic and gender datasets to ensure no built-in bias

Highly Accurate Facial Recognition

Highly Accurate Facial Recognition

Very high accuracy in tests with YouTube, LFW, Megaface. Tunable confidence level and continuous training

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