Real-Time Drowsiness Detection System Using Eye-Blink Sensing and Microcontroller-Based Alert Mechanism

Abstract - This paper presents a real-time drowsiness detection system designed to enhance driver safety by monitoring eye activity and issuing alerts upon detecting signs of fatigue. The system is built using an Arduino Nano microcontroller integrated with an eye-blink sensor, a buzzer, a vibration motor, and a power supply circuit. The core functionality involves tracking the duration of eye closure through a sensor mounted on specialized goggles. When the eyes remain closed beyond a predefined threshold, the microcontroller activates both an audible and tactile alert to prompt driver responsiveness. This compact and portable hardware solution aims to reduce road accidents caused by driver drowsiness, offering a cost-effective, real-time preventive measure without the need for complex image processing or machine learning. The design emphasizes simplicity, rapid response, and energy efficiency for practical deployment in automotive applications. Key Words: Drowsiness Detection, Arduino Nano, Eye-Blink Sensor, Driver Safety, Vibration Motor, Real-Time Monitoring, Alert System