This document describes a driver drowsiness monitoring system that uses image processing to help prevent accidents. The system uses a Raspberry Pi with Python and OpenCV to detect the driver's face, extract the eye region, and monitor eye closure over time to determine drowsiness levels. If drowsiness is detected, the system activates alert levels that include a buzzer, sprinkler, indicator lights, and ultimately turning off the ignition. It then sends a photo of the drowsy driver to an emergency contact. The system aims to improve road safety by addressing one of the major causes of accidents - driver fatigue and lack of alertness during prolonged driving.