Face Recognition
Detects faces in the video frame using face detection algorithms, extracts features, and compares them with enrolled faces to determine if a face is in the database.
Algorithm Introduction
Detects faces in the video frame using face detection algorithms, extracts features, and compares them with enrolled faces to determine if a face is in the database.
Applications
Access control machines, verification turnstiles, door locks, security monitoring
Core Advantages
Fast Inference Speed
Face detection and face recognition models are compressed through distillation technology for fast edge-side inference.
High Recognition Accuracy
Depending on model size, can support thousand, ten-thousand, and hundred-thousand level face databases. Recognition accuracy exceeds 99.9%, with robustness to face recognition at different angles.
Rich Scene Support
Face recognition models are specially optimized for different scenarios such as indoor access control and outdoor monitoring, with different sub-scenario models available.
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