Intelligent system and method for preventing fatigue driving

Abstract

The invention discloses an intelligent system and method for preventing fatigue driving, comprising: N left and right infrared LED lights projected on the left and right eyeballs as feature points for subsequent detection; left and right cameras with eye tracking sensors to track the left and right eyeballs and photograph the left and right eyeballs Image data; the processor performs filtering, ROI area extraction, and feature point detection on the left and right image data. Within a preset time, when the number of feature points in the left and right images is less than N / 2 and reaches the alarm threshold, it will report to the vehicle center console Send an alarm command, and the vehicle center console controls the vibration feedback device on the seat to realize the vibration reminder to the driver. The present invention judges the closed / open state of the eyes according to the number of feature points, and judges fatigue driving according to the time when the eyes are in the closed state; the present invention has high detection accuracy for the eye movement state, and realizes vibration reminder through a vibration feedback device, thereby Essentially stop traffic accidents caused by fatigue driving.

Description

technical field [0001] The invention relates to the technical fields of image processing, pattern recognition and automation, in particular to an intelligent system and method for preventing fatigue driving. Background technique [0002] Fatigue driving is a relatively important factor leading to high traffic accidents, so how to efficiently, accurately and quickly detect whether the driver is driving in fatigue, and how to prevent it in the case of known fatigue driving is particularly important. [0003] At present, the technical means of detecting fatigue driving is mainly through machine vision, which mainly detects the movement state of eyes or mouth (whether it is closed or opened), and judges whether the current state of fatigue driving is through a certain state machine; due to the influence of the cockpit Influenced by complex and changeable factors such as ambient light, the detection of the position of the eyes or mouth is not accurate enough. As a result, the est...

AI Technical Summary

Problems solved by technology

[0003] At present, the technical means of detecting fatigue driving is mainly through machine vision, which mainly detects the movement state of eyes or mouth (whether it is closed or opened), and judges whether the current state of fatigue driving is through a certain state machine; due to the influence of the cockpit Influenced by complex and changeable factors such as ambient light, the detection of the position of the eyes or mouth is not accurate enough. As a result, the estimation of the movement state of the eyes or mouth is not accurate enough, resulting in a relatively high probability of non-detection, and the detected fatigue driving state is not accurate. The alarm is issued by voice, which essentially does not prevent traffic accidents caused by fatigue driving

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