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Driver fatigue is one of the leading causes of road accidents worldwide, often resulting from long hours behind the wheel and reduced concentration. This school science fair project focuses on designing and constructing an Arduino-based Anti-Sleep Alarm system to help prevent accidents caused by drowsiness. The device uses an infrared eye-blink sensor to monitor the driver’s eye movement and detect when their eyes remain closed beyond a safe threshold. The sensor is connected to an Arduino Nano microcontroller, which continuously processes the input signal. If the eyes stay closed for more than two seconds, the Arduino triggers both an audible buzzer alarm and a vibration motor through a relay module, alerting the driver to wake up immediately.

This prototype demonstrates how a simple combination of affordable components and open-source technology can be used to create an effective driver fatigue detection system. Unlike expensive commercial solutions that rely on cameras or complex software, this project offers a low-cost and easily replicable alternative suitable for students, hobbyists, and real-world safety applications. Initial testing showed that the system reliably distinguishes between normal blinking and actual signs of drowsiness. Future improvements could include integrating wireless communication, data logging, or adaptive sensitivity settings for different users. Anti-Sleep Alarm, Science School Experiment.

Driver fatigue is one of the leading causes of road accidents worldwide, often resulting from long hours behind the wheel and reduced concentration. This project focuses on designing and constructing an Arduino-based Anti-Sleep Alarm system to help prevent accidents caused by drowsiness. The device uses an infrared eye-blink sensor to monitor the driver’s eye movement and detect when their eyes remain closed beyond a safe threshold. The sensor is connected to an Arduino Nano microcontroller, which continuously processes the input signal. If the eyes stay closed for more than two seconds, the Arduino triggers both an audible buzzer alarm and a vibration motor through a relay module, alerting the driver to wake up immediately.

This prototype demonstrates how a simple combination of affordable components and open-source technology can be used to create an effective driver fatigue detection system. Unlike expensive commercial solutions that rely on cameras or complex software, this project offers a low-cost and easily replicable alternative suitable for students, hobbyists, and real-world safety applications. Initial testing showed that the system reliably distinguishes between normal blinking and actual signs of drowsiness. Future improvements could include integrating wireless communication, data logging, or adaptive sensitivity settings for different users.