Perfect for access control systems. Build into building security systems, turnstiles, gates and kiosks, as well as Smart Home security and personalization applications.
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
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. Confidence level can be adjusted up or down and recognition improved with additional training.
