The objective is to develop a real-time drowsiness detection system using eye tracking sensors that sends alerts via VANET to nearby vehicles, improving road safety and reducing accident risks.
This project presents a real-time driver drowsiness detection and alert system using Raspberry Pi, a web camera, ultrasonic sensor, speaker, buzzer, vibration motor, and GPS module. The system continuously monitors the driver's eye movements and blinking patterns to detect signs of fatigue. When drowsiness is identified, the buzzer, speaker, and vibration motor are activated to alert the driver immediately. The GPS module obtains the vehicle location and sends it via email during emergency situations. The system can also share warning messages with nearby vehicles through VANET technology, helping to prevent accidents and improve road safety.
Keywords: Driver Drowsiness Detection, Raspberry Pi, Eye Tracking, GPS, VANET.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

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