Design of a Fatigue Driving Remote Monitoring System Based on Dlib
This paper describes the design of a remote monitoring system for fatigue driving,using the Dlib face detection model to determine whether the driver is closing their eyes or yawning by calculating the EAR and MAR parameter values,and using the HPE algorithm to determine the driver's head posture.If fatigue driving is detected,the system will issue a warning prompt and send it to the monitoring platform through the cloud for human intervention,achieving"dual insurance".Through experimental testing,this system can accurately determine the fatigue status of truck drivers and reduce the risk of accidents.
intelligent control technologyDlibEARMARHPEfatigue driving
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