Study of the Eye's Image Processing for the Determination of Driver's Fatigue

The motor vehicle is one of great inventions in recent century. It although brings more convenient life for us, it also makes more troubles at the same time. The number of traffic accidents that caused casualties in the past two years. It has 160,000 accidents in Taiwan, 1,800,000 in America and 7,000 in Singapore; about 90% of these accidents are man-made. Among them, over ninety percent of accidents are caused due to the careless of drivers. Therefore, the study of driver status detection is increase gradually. The development platform in the paper is based on LabVIEW, NIIMAQ Vision,and the hardware which are the CCD and the NI-PCI 1411 image acquisition card to realize an eye's state recognition system. In the paper, we designed the system that included the face detection, the face tracking, the eye's image locating and extracting, the eye's opening and closing state recognition. Finally, in order to avoid the situation of the tilted head will interfere with the system's operation, we realized no matter face tilts or not, the system can still recognize the eye's opening and closing. By the study effort of above, we hope to provide some contributions to the developer in the area of face detection and feature recognition, and contribute my mental and physical efforts to the study of driver status detection analysis to reduce the traffic accidents.