This document summarizes a research paper on developing a system to detect driver fatigue through visual analysis of the eyes. The system uses computer vision techniques like face and eye detection to monitor the driver. Key metrics like PERCLOS (percentage of eye closure) are measured to determine fatigue levels. The system aims to reduce accidents caused by drowsy driving by alerting drivers when vigilance is diminished. It locates the face, then analyzes the eyes for signs of fatigue without explicit eye detection. Tests show the system can accurately detect drowsiness and generate timely alarms. The goal is to prevent accidents by monitoring driver alertness levels in real-time through non-intrusive video analysis of the face and eyes.