Sleep Sensing Detection and Accident Prevention Alerting System

Abstract

Feeling sleepy while driving but in these case road accident chances are created when driving alone on highway or operators who travel for an extended duration may have become dull, lethargic, or even fall asleep. Most driver anti-sleep tracking products these days currently are simply headphone that considers interrupted noises, which is both obnoxious and unreliable. Several surveys had already devoted to the development detection systems driver fatigue and extreme tiredness in order to counteract their implications on traffic safety. This paper proposes an approach for discovering and notification drowsiness. The recommended strategy is an organized cognitive approach comprised of two embedded devices (Raspberry Pi 4 microcontroller and Arduino microcontroller), sensors, and electronic controls linked and communicated via the Internet. From the images obtained, Raspberry Pi recognises the driver's eyelids and evaluates their status to establish whether they would be open or closed. Therefore, we came up with an idea and successfully developed a sleepy detection and alarming system, which could effectively meet this demand.