Real-Time Sleep Detection and Alert System for Drivers Using Smart Glasses

Abstract

This project focuses on designing and implementing an Anti-Sleep Glasses system for drivers, aimed at detecting drowsiness and issuing timely alerts to prevent accidents caused by fatigue. The system utilizes an Arduino Nano microcontroller, an Eye Blink Sensor, and a buzzer to continuously monitor the driver’s eye movements in real time. When the system detects that the driver’s eyes remain closed for more than three seconds, it triggers an audible alert through the buzzer, prompting the driver to regain focus and avoid potential hazards. By providing a simple yet effective solution, this system contributes to road safety by addressing fatigue-related incidents, which are a significant cause of accidents. Unlike complex and costly alternatives, this project offers an affordable and reliable method for detecting drowsiness and alerting drivers before an accident occurs. The integration of real-time monitoring with immediate feedback ensures a practical and accessible approach to enhancing driver awareness, ultimately reducing the risk of sleep-induced collisions on the road.