MDVR equipment integrated fatigue detection method of motorcade management platform

Abstract

The invention discloses an MDVR equipment integrated fatigue detection method of a motorcade management platform. The method comprises: when the real-time movement speed of the vehicle exceeds a movement speed threshold value, carrying out human eye opening degree detection, counting the temporary eye closing cumulative time according to the condition that the eye opening degrees of two continuousframes of human eyes are smaller than an eye opening threshold value, and counting the eye closing cumulative time when the temporary eye closing cumulative time exceeds a certain threshold value, soas to reduce continuous intermittent misjudgment caused by a bad optical environment; when it is detected that the cumulative opening time of the human eyes exceeds an eye opening time threshold value, the cumulative eye closing time can be reset if the rotation angle and the shaking amplitude of the face recognition face are too large, the cumulative eye opening time needing to be reset within continuous time periods, otherwise, the cumulative eye opening time needing to be reset, and therefore the possibility of resetting the cumulative eye closing time by mistake is extremely low. As longas the eye closing cumulative time exceeds the eye closing cumulative time threshold value, the target driver is judged to be in the fatigue state, and the number of wrong alarms is greatly reduced.

Description

technical field [0001] The invention relates to the field of driving safety, in particular to a detection method for detecting driver fatigue by using an MDVR (vehicle-mounted hard disk video recorder) device of a fleet management platform during driving. Background technique [0002] Traffic accidents have always been one of the most serious threats to life and property safety faced by human beings, and most of the traffic accidents are caused by human factors of drivers. In the process of vehicle driving, driver fatigue is one of the important causes of serious traffic accidents, which seriously endangers traffic safety. Long-distance bus drivers will experience frequent slaps, heavy eyelids, inattention, distraction, dizziness, and unresponsiveness due to long-term continuous driving and long-term driving under single road conditions. [0003] In order to reduce the mental stress of the driver and prompt early warning of fatigue in a timely manner, the fatigue detection ...

AI Technical Summary

Problems solved by technology

In such a working mode, if the strategy of "prefer false positives rather than false negatives" similar to driving assistance is still adopted, it may lead to a large number of invalid video uploads, which will bring troubles to the fleet management based on this function and related managers. It is a huge trouble. In fact, it is necessary to manually screen the uploaded videos twice.

Excessive troubles and invalid videos may lead to negligent management, long-term lack of deterrence to drivers and fatigue driving behavior, and finally the entire system fails

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