STV477: AN IOT- ENABLED DROWSY DRIVER ALERT SYSTEM FOR ENHANCED ROAD SAFETY

NUR AMIRAH BINTI AZMI POLITEKNIK SULTAN SALAHUDDIN ABDUL AZIZ SHAH

Microsleep, a brief and involuntary episode of sleep, poses a significant safety concern due to its association with accidents, injuries, and fatalities. The increasing danger of microsleep-related incidents stems from factors such as heavy workloads, extended working hours, and unhealthy habits commonly seen in modern lifestyles. “IoT-Enabled Drowsy Driver Alert System for Enhanced Road Safety” aim to introduce a comprehensive microsleep detection system preventing drowsiness and enhancing safety. This system utilizes an Internet of Things (IoT)-based microsleep detector worn by individuals susceptible to microsleep. Additionally, it monitors heart rate as a key indicator of potential microsleep episodes. When the heart rate dips below a predefined threshold, alerts such as vibrations and activation of an essential oil diffuser are triggered to refresh the individual and mitigate the risk of accidents. The expected outcome of implementing this system is a reduction in microsleep-related incidents and an overall improvement in safety in various settings, including transportation and workplace environments. By effectively identifying and preventing instances of drowsiness caused by microsleep, this approach aims to contribute to the development of effective strategies for addressing the growing concern of microsleep-related incidents, ultimately enhancing safety and preventing accidents.