
Introduction:
Based on face detection algorithms, faces in the image are detected, features are extracted and compared with faces in the database to determine if the face is in the face database.
Applications:
Access control machines, verification gates, door locks, Security monitoring
Advantages:
· Fast inference speed: Face detection and face recognition models are compressed through distillation technology, enabling fast inference on the endpoint side.
· High recognition accuracy: Depending on the model scale, it can support face databases of thousands, tens of thousands, or even hundreds of thousands. The recognition accuracy exceeds 99.9%, demonstrating robustness in face recognition from different angles.
· Rich support scenarios: The face recognition model has been specially optimized for different use cases such as indoor access control and outdoor surveillance, allowing users to choose models for specific scenarios.
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