Research On The Driver Fatigue Detection System

With the rapid development of transport, traffic accidents have become one of the various problem our country is facing. Statistical analysis showed that driver fatigue is one of the important reasons which is leading to traffic accidents. With the rapid development and application of computer, using camera to collected images of the driver and to determine the fatigue level of the driver by many algorithm.The main idea of this paper is to determine the fatigue level by getting the information of the driver face and image detecting. The information of driver face include detect and calculate the statement of the eye ,mouth head position. The method of face detection is establishment of skin color model and computation of similarity graph, then classify by threshold segmentation. After get the accurate head position, detecting the eye and mouth position. Using facial characteristics to get the rough area of the eye and mouth, then use border extraction method for eye location and calculations of status and use Fisher linear classifier to get lip position and calculate mouth status. Conduct a comprehensive evaluation driver fatigue by making the definition of input and output of fuzzy controller and fuzzy inference rules. The thesis introduced the software design proposal of driver fatigue detection system. And the capability and stability of detecting system is tested. The main work of the thesis could be summarized as follows:Firstly, improve the traditional edge detection method which have more noise and higher wrong detect rate. Proposed to locate the boundary extraction method, experimental results show this method is fast and high accuracy.Secondly, use of Kalman filtering method to achieve the object of tracing and noise filtering, speeding up the detection rate further to improve the detection accuracy.Thirdly, comprehensive Evaluation of driver fatigue proposed the concept of the development control rules by using fuzzy controller on the comprehensive evaluation of fatigue, leaving a certain tolerance to the rate of detection.