Intelligent system for avoiding fatigue driving and intelligent method for avoiding fatigue driving

Abstract

The present invention discloses an intelligent system for avoiding fatigue driving and an intelligent method for avoiding fatigue driving. The system comprises: N left and right infrared LED lamps projected on left and right eyeballs to take as feature points for subsequent detection; a left camera and a right camera which have eyeball tracking sensors, wherein the left camera and the right camera is configured to track left and right eyeballs and shoot left and right image data; a processor configured to perform filter of the left and right image data, ROI area extraction and feature point detection, and send an alarm instruction to a vehicle center console when the time of the number of the left and right image feature points being less than N / 2 reaches an alarm threshold in a preset time; and a vibration feedback device arranged a vehicle center console control seat and configured to realize vibration prompting for drivers. The intelligent system for avoiding fatigue driving and the intelligent method for avoiding fatigue driving determine eye closing / opening states according to the number of the feature points and determine fatigue driving according to the time of the eyes being located in the closing state. The intelligent system for avoiding fatigue driving and the intelligent method for avoiding fatigue driving are high in detection precision of eye motion states and realize vibration prompting through the vibration feedback device so as to avoid traffic accidents caused by fatigue driving in essence.

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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