Our Facial Recognition & Liveness Detection project is at the forefront of security technology, offering advanced capabilities in facial recognition and liveness detection.
Facial Recognition: The system utilizes cutting-edge algorithms to perform accurate facial recognition, requiring only one image for identification across multiple images.
Liveness Detection: Live inference enables the system to detect liveness in real-time, ensuring that the subject is live and present during identification.
Custom Threshold Adjustment: Users have the flexibility to adjust model thresholds, especially for spoof detection, ensuring robust security measures.
Real-time Inference: The system performs live inference, providing instantaneous results for both facial recognition and liveness detection.
Facial Recognition with Minimal Data: Achieve accurate identification with minimal data input, streamlining the recognition process.
Enhanced Security Measures: Robust liveness detection and threshold adjustment options bolster security protocols against spoofing attempts.
Real-time Live Inference: Instantaneous identification and liveness verification ensure timely and secure access control.
Our system finds extensive application in security domains, including access control, authentication systems, and surveillance for heightened security measures.
Model Type : Video
Industry Sector: Security
Live Project: