Research And Implementation Of Fatigue Driving Detection System

With the improvement of living standards and the development of transport, the road traffic accident is increasing year by year. Fatigue driving is one of the major causes in the frequent occurrence of traffic accidents and accounted for more than 10% of the total of the traffic accidents. Therefore, how to determine the status of the driver's fatigue more accurately and quickly is great significant to reduce the occurrence of traffic accidents.This article focuses on the human face detection, the eye location, as well as in the judgments of fatigue on the basis of them. Fatigue driving detection system mainly consists of five parts, including the classifier training module, image acquisition module, image processing module, target detection module and fatigue determined module. Adaboost algorithm is used to complete the classifier training module, the human face can be detected in the target image, and the location of the human eye can be positioned by the algorithm. The image acquisition module is used to collecte the original image of the target by the camera head. The image processing module is for the gray-scale processing to the original image from the camera, the binarization of the image, the enhancement of the image and the processing to remove noise from the image. So we can get the target image which is to be tested, and it can detect the location of the human eye much more accurately. The classifier of the training module is loaded into the system, and it is to complete the target detection in module. By the PERCLOS algorithm, we can determine the fatigue eyes which are positioned, and that is the fatigue determining module. In addition, in order to improve the performance of fatigue testing system, we do continuously improvement of the setting of threshold based on the adaptive algorithm.Microsoft Visual Studio 2005 development environment is used to develop fatigue detection system of identification and detection algorithms, the OpenCV the Intel libraries is used to achieve the system, and the system-related test is also done. The whole system basically achieves the function of testing fatigue state on the target, and it has the capabilities of detecting the targets which is positive, the side and wearing glasses with high accuracy.At the same time, the system is not only applied to the driver's fatigue detection, but also can test the fatigued from the manipulated staff who are in the Monitoring rooms and some large-scale controlling rooms and so on. Therefore, the system can reduce heavy losses caused by fatigue.