Design And Implementation Of Driver’s Fatigue Detection System Base On OpenCV

With the rapid development of China’s economy in recent years, the city as well ashigh-speed road motor vehicle ownership is increasing dramatically. In the world everyyear due to driver fatigue which leads to traffic accidents and casualties of tens ofthousands in China, fatigue driving, defined by the traffic control department as one of thethree main reasons of road traffic accidents, affected the life of the people of the veryseriously. Therefore, how to effectively detect and prevent driver fatigue puts extremelyimportance to control and reduce traffic accidents.This article describes the system of sensor on the driver’s face imageacquisition.Analysis of the state of the human eye to determine the degree of fatigue.Themain indicators to measure the degree of driver fatigue:the closing time of the human eyecontinued to account for the specific time the the ratio PERCLOS.The system usesGadabouts cascade tomb Haar features classifier algorithm to face detection position inthe face area by the template matching method on the basis of the tomb of the detectedface,the human eye to detect eye state when the system detected the driver is in a sleepstate,and timely alarm to alert the driver,and retain the data uploaded to the ground controlcenter.In this paper,based on Haar features AdaBoost cascade classification algorithm andtemplate matching algorithm,described on the basis of its principles and specific,softwareprogramming,and realization of the algorithm tested by several test sets. The experimentsshow that the AdaBoost method and the template matching method,with detection withhigh accuracy,fast speed and robustness to good advantage.Finally,the lack of thealgorithm exposed in the test, further improvements.