Study of the determination of driver’s fatigue by using the eye’s image processing

• Main Authors: Chi-Wei Chen, 陳契維
• Other Authors: Sun-Lon Jen
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/74339900108366979613

碩士 === 義守大學 === 電子工程學系碩士班 === 96 === Traffic accidents occurred frequently in the modern society, it made the government to pay a lot of budget. There are more than 60,000 vehicle accidents occurring each year in Taiwan. Among them, over ninety percent of accidents are caused due to the careless of drivers so the study of driver status detection is increase gradually. The development platform in this study is based on LabVIEW, NI IMAQ Vision, and the hardware which are the CCD and the NI-PCI 1411 image acquire card to realize an eye’s state recognition system. In the paper, we designed the algorithms that include 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 design an algorithm to realize no matter face tilts or not, the system can still recognize the eye’s opening and closing situation. 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 the study efforts to reduce the traffic accidents.