Real-time face detection and recognition with 99.7% accuracy for access control, watchlists, and attendance systems.
Visylix Face Recognition uses deep metric learning to detect, align, and match faces in real-time across multiple camera feeds. It supports liveness detection to prevent spoofing and operates at scale with sub-200ms latency per frame.
Core capabilities of the Face Recognition model.
State-of-the-art face embeddings with robust lighting and angle tolerance.
3D mask and replay attack prevention using depth analysis.
Compare against databases of 1M+ faces with sub-200ms latency.
On-premise processing with configurable data retention policies.
Real-world applications for Face Recognition.
Secure entry points with touchless face-based authentication.
Instant notifications when known persons of interest are detected.
Automated employee and student attendance tracking.
Performance and deployment details.
Add Face Recognition to your video pipeline in minutes.
Assign the model to specific cameras with zone definitions and sensitivity settings through the web UI or API.
The model processes video frames in real time, generating structured detection events with bounding boxes and metadata.
Receive instant alerts via webhooks, trigger automated workflows, or query detections through the REST API.
See how Face Recognition is applied across different sectors.
Explore other computer vision capabilities.
Talk to our team to see this model in action on your video feeds.