Design of Human Eye Information Detection System

At present, many scholars are committed to the study of fatigue detection system, and many effective methods have been put forward. This paper examines condition of the driver based on the condition of the eves, and the image processing technology is used to identify the driver's fatigue status in time and warn him of his continued driving. According to the particularity of system application, the non-contact, accurate and real-time fatigue detection system based on human eve information is designed under natural lighting conditions. Eye-positioning and tracking throughout the fatigue detection system is the key to the system. However, if the human eve is directly detected and located in the entire image; not only the background noise of the humanoid eye but also the accuracy of the system is affected, and because of the large detection range, the real-time performance of the system cannot be guaranteed. Therefore, the paper detects the face area in the whole image and then further locate the human eye and track it in this small area.