Real-time detection system of fatigue driving

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

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AI Technical Summary

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

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