Abstract
Abstract: In the contemporary world of transportation, en- suring the safety of both drivers and passengers remains a paramount priority, given the staggering number of lives lost eachyear, totalling millions, due to vehicular accidents worldwide. Anoften-underestimated but critical factor contributing significantlyto these accidents is driver drowsiness. This project aims to address these pressing challenges by developing an integrated system that combines real-time driver drowsiness detection, accident detection, and precise location tracking capabilities. Utilizing cutting-edge technologies like facial recognition and GPS-based tracking, our system will proactively identify signs of driver fatigue in real-time [1], offering a timely alert to drivers to prevent accidents caused by drowsiness. Simultane- ously, the system will employ sophisticated accident detection algorithms, distinguishing between minor incidents and severe crashes, ensuring that appropriate responses are triggered swiftly. This comprehensive solution not only enhances road safety but also expedites emergency responses, ultimately saving lives and significantly reducing accidents on our roadways.
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