Face Recognition
Real-time facial identification and verification for access control, attendance and security โ accurate, fast and privacy-aware.
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Alfabeta Face Recognition detects, aligns and matches faces from live camera feeds or still images against your enrolled identity database. Built on deep neural networks tuned for real-world conditions, it handles variations in pose, lighting, expression and partial occlusion such as glasses or masks.
The system supports both 1:1 verification and 1:N identification, running on edge devices or centralised servers to fit your infrastructure. It integrates cleanly with door controllers, turnstiles, time-and-attendance systems and existing VMS platforms through documented APIs.
Real-Time Matching
Detects and identifies faces from live video in milliseconds, enabling frictionless access and continuous monitoring.
1:1 and 1:N Modes
Verify a claimed identity or search a face against your entire enrolled database from a single engine.
Robust In The Wild
Maintains accuracy across changes in angle, lighting, expression and partial occlusion like glasses or face masks.
Edge Or Cloud Deployment
Runs on embedded edge devices or centralised servers so you can balance latency, cost and data residency.
Easy Integration
Connect to access controllers, attendance systems and VMS platforms through clean, well-documented APIs.
Liveness-Ready
Pairs with Alfabeta Liveness Detection to block photo, video and mask spoofing before a match is trusted.