Publisher : Institute of Control, Robotics and Systems
DOI : 10.5302/J.ICROS.2016.15.0153
Title & Authors
Development of a Drowsiness Detection System using Machine Vision Kang, Su Min; Huh, Kyung Moo;
In this paper, we propose a technique of drowsiness detection using machine vision. The drowsiness of vehicle driver is often the primary cause of motor vehicle accidents. Therefore, the checking of eye images for detecting drowsiness status of driver is critical for preventing these accidents. In our suggested method, we analyze the changes of histogram and edge of eye region images which are acquired using CCD camera. We developed a drowsiness detection system using the histogram and edge change information. The experimental results show that our proposed method enhances the accuracy of detecting drowsiness nearly to 98%, and can be used for preventing vehicle accidents due to the drowsiness of drivers.