Abstract

This paper present a new approach to automotive safety. We see him propose three different nut closely related concept. An image processing system, a drowsy drive detection system, and a distress signal system using a nonintrusive computer vision-based concept. Recently, the number of accidents due to fatigue has increased significantly.This prototype is a real-time system that continuously captures images according to a specified algorithm, measures eye conditions, and alerts if necessary.To minimize these issues, we've incorporated facial recognition image processing to help with authentication, as well as improved sleep detection and driver warning systems. A value per closed eye is calculated to detec drowsiness. Therefore, if the eye closure time exceeds a certain value , the driver is perceived as drowsy or in the state of sleep.