Real-time detection system of fatigue driving

A real-time detection and fatigue driving technology, applied in related disciplines, can solve the problems of poor applicability, high cost, low reliability, etc., and achieve the effect of low cost, low hardware cost and good compatibility

Inactive Publication Date: 2009-03-04
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0007] In order to overcome the disadvantages of low reliability, high cost and poor applicability of existing fatigue driving detection sys

Method used

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  • Real-time detection system of fatigue driving

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Embodiment Construction

[0042] The present invention will be further described below in conjunction with the accompanying drawings.

[0043] refer to Figure 1 to Figure 6 , a real-time detection system for fatigue driving, comprising a camera for collecting driver's facial images, and a processor for performing fatigue detection, the processor including: an image collection module, for obtaining the driver's facial image captured by the camera Facial image; image preprocessing module, for preprocessing the acquired image; the processor also includes: image processing module, for utilizing the AdaBoost algorithm to analyze the preprocessed image, detect the left and right eyes of the driver, Calculate the curvature and eye-opening area of ​​the upper eyelid respectively, and then fuse the curvature of the upper eyelid and the eye-opening area to obtain the degree of eye closure, and detect whether the driver is fatigued according to the p80 measurement method; control the alarm module for image proce...

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Abstract

A system for detecting fatigue driving in a real-time manner comprises a camera used for capturing a facial image of a driver and a processor used for detecting fatigue; the processor comprises an image acquisition module used for acquiring the facial image of the driver captured by the camera, and an image preprocessing module used for preprocessing the acquired image; the processor further comprises an image processing module used for analyzing the image after being preprocessed by using an AdaBoost algorithm, detecting the left eye and the right eye of the driver, calculating respectively the curvature of the upper eyelid and the goggle-eyed area of the left eye and the curvature of the upper eyelid and the goggle-eyed area of the right eye, blending the curvatures of the upper eyelid and the goggle-eyed areas to obtain the degree to which the eye closes and opens, and detecting whether the driver is with fatigue by a p80 measurement method according to PERCLOS, and an alarm control module used for giving an alarm signal when the image processing module judges that the driver is with fatigue. The system has high reliability, low cost and high applicability.

Description

technical field [0001] The invention relates to physiology, automatic control, pattern recognition, artificial intelligence and other related disciplines, belongs to the field of computer embedded system application and image processing technology, in particular to a real-time detection system for fatigue driving. Background technique [0002] The popularity of automobiles has promoted the development of traffic on the one hand, but on the other hand has caused traffic accidents to increase day by day. According to the statistics of relevant departments, among the main causes of various road traffic accidents, loss of control caused by fatigue driving accounts for 40%. Although fatigue is a normal physiological phenomenon, it may cause serious consequences to the special group of drivers, even life-threatening. Many tired drivers often do not know that they are already in a dangerous state of drowsiness. Therefore, the driver's drowsiness detection and alarm system has beco...

Claims

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Application Information

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IPC IPC(8): A61B5/18
Inventor 梁荣华林瑶磊胡妍毛剑飞周德龙
Owner ZHEJIANG UNIV OF TECH
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