눈의 히스토그램과 에지를 이용한 졸린 상태 감시 시스템 개발

In this paper, we propose a technique of drowsiness detection using histogram and edge of eyes. The drowsiness of vehicle drivers is often the main cause of many vehicle accidents. Therefore, the checking of eye images in order to detect the drowsiness status of a driver is very important for preventing accidents. In our suggested method, we analyse the changers of a histogram and edge of eye region images which are acquired using a CCD camera. We develop a drowsiness detection system using this histogram and edge change information. The experimental results show that the proposed method enhances the accuracy of detecting drowsiness to nearly 99%, and can be used for preventing vehicle accidents due to driver"s drowsiness of driver.