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.
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
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 face recognition improved with additional training.
