• Mr. Soumen Sen
• Mr. Subhamay Bhattacharyya
• Mr. Biplab Bhowmick
• Biswajit Bose
• Asibur Rahman

The exponential increase in vehicular traffic worldwide has led to a corresponding surge in road accidents, many of which are attributed to driver drowsiness. In response to this pressing issue, this research presents a novel approach utilizing an integrated system comprising an Arduino Nano micro controller and an eye blink sensor to detect and prevent accidents caused by driver fatigue. The core functionality of the system revolves around the real-time monitoring of driver alertness through continuous analysis of eye blink patterns. The driver wears an eye blink sensor frame during the course of driving, which continuously tracks the duration and frequency of eye blinks. Upon detecting prolonged periods of eye closure indicative of drowsiness or sleep, the system triggers alerts to mitigate potential accidents. The system incorporates multi-modal alert mechanisms to ensure driver responsiveness. In the event of detected drowsiness, a vibrating component integrated into the eye blink sensor frame provides tactile feedback to the driver, while a buzzer emits audible alerts. This dual-mode alert system enhances the likelihood of driver acknowledgment and corrective action. Furthermore, to enhance the safety measures and facilitate timely intervention, the system integrates a GSM module for remote notification. In the event of drowsiness detection, pertinent information including the driver's location, photographic evidence, and nearby police station details are transmitted to the vehicle owner. This enables proactive measures such as remote assistance or emergency response, thereby augmenting overall road safety. Overall, the proposed system offers a comprehensive solution to mitigate road accidents caused by driver drowsiness. By leveraging real-time monitoring, multi-modal alerts, and remote notification capabilities, it not only enhances driver safety but also empowers vehicle owners with actionable insights for timely intervention and accident prevention.

Road accidents, Driver drowsiness, Eye blink sensor, Arduino Nano, Real-time monitoring, Tactile feedback, Audible alerts, GSM module, Remote notification, Road safety, Vehicular traffic, Accident prevention, Multi-modal alerts, Location-based notification, Emergency response.

"Anti Sleep Alarm for Drivers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.e497-e501, June-2024, Available :http://www.jetir.org/papers/JETIR2406467.pdf

"Anti Sleep Alarm for Drivers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppe497-e501, June-2024, Available at : http://www.jetir.org/papers/JETIR2406467.pdf