An Ideal Mechanism For Sensing State And Alarm Of A Driver Drowsiness Detection System In Automobiles

Abstract

Driver exhaustion is a significant factor in many collisions involving automobiles. A significant problem in accident prevention is the identification or avoidance of drowsiness at the wheel. The paper aims to gather the drowsiness signs from the driver's face by examining the condition on driver eyes. It is done by the processing of video images collected using a sensing tools. The results of the video are used for determining levels of somnolence and give the driver, message whether teamster is drowsy.