Fatigue detection
Eye condition detection
Attention detection
head posture
Bad behavior detection
Yawn + smoking + call
Expression recognition
Live detection
Sight tracking
The system uses deep learning neural network vision technology and embedded face recognition algorithm to achieve 0.1S to quickly identify the driver identity. The recognition accuracy of up to 99%!
0.1S quickly identifies the driver's identity
Recognition accuracy is up to 99%
The system can maintain the robustness and high precision of face detection in extremely complex environments, such as wearing sunglasses, strong light, side light, backlighting, night, facial occlusion, excessive head deflection, etc.
