Fatigue driving early warning method and system based on threshold system

Abstract

The invention relates to a fatigue driving early warning method and system based on a threshold system. The method comprises the following steps: collecting video data containing a driver face image and driver heart rate data in real time; carrying out data processing to respectively obtain eye behavior data and a heart rate index; carrying out data analysis, to be specific, according to a presetthreshold system, acquiring an eye behavior evaluation result and a heart rate index evaluation result; combining the eye behavior evaluation result with the heart rate index evaluation result to obtain a corresponding fatigue evaluation result; if the fatigue evaluation result indicates a critical or fatigue state, outputting a corresponding early warning control instruction; and if the fatigue evaluation result indicates a normal state, not outputting the early warning control instruction. Compared with the prior art, the provided method has the following advantages: the fatigue evaluation result can be accurately obtained in real time by collecting the eye behavior data and the heart rate data of the driver and based on the corresponding threshold value system; and the early warning device is combined to realize effective early warning of fatigue driving, so that high driving safety is guaranteed.

Description

Technical field [0001] The present invention relates to the technical field of fatigue driving early warning, in particular to a fatigue driving early warning system based on a threshold system. Background technique [0002] In recent years, traffic accidents due to fatigue driving have occurred from time to time. Fatigue driving refers to the phenomenon that the driver's physiological function and psychological function are imbalanced after a long time of continuous driving, and the driving skills are objectively decreased. Statistics show that traffic accidents caused by fatigue driving account for 15% of personal injury accidents and more than 20% of fatal accidents. [0003] Therefore, in order to reduce traffic accidents caused by fatigue driving, it is necessary to monitor fatigue driving and issue early warnings in time. As a safe driving assist technology, the fatigue driving warning system is still in the initial stage of research. The existing fatigue driving Early warn...

AI Technical Summary

Problems solved by technology

[0003] Therefore, in order to reduce traffic accidents caused by fatigue driving, it is necessary to monitor fatigue driving and issue early warning in time. As a safety driving assistance technology, the fatigue driving early warning system is still in the initial stage of research, and the existing fatigue driving Most of the early warning systems use facial feature data and steering wheel operation data of the driver, combined with face recognition technology, to detect whether there is fatigue driving during driving. However, the driver’s driving status information obtained in this way is too simple to effectively reflect The driver's driving state is prone to misjudgment

[0004] Chinese patent CN108973851A discloses a fatigue driving warning system, which detects the fatigue level of the driver by tracking the deviation of the lane position. On the one hand, it does not integrate the driver’s effective driving status information. On the other hand, due to insufficient real-time performance, there may be a delay in early warning, that is, fatigue driving cannot be detected in time, and early warning cannot be issued in advance.

Images