Eye Fatigue Detection System Design and Implementation

Abstract

This paper implements the detection and recognition of eye fatigue state based on artificial intelligence technology and computer vision. Through the detection and recognition of eye closure time, the system provides voice warning information to prompt the driver, so as to reduce the traffic accidents caused by fatigue driving. The system is connected to a night vision camera to achieve real-time face detection and recognition. On this basis, the system locates the driver's eye feature points and calculates the parameters corresponding to the eye feature state, which is used as the basis for eye fatigue detection. When the driver has closed eyes (non-blinking) driving, the system will issue voice warning and upload the image of fatigue state in real time using the cloud platform.