DROWSINESS AND ACCIDENT DETECTION SYSTEM WITH LOCATION TRACKING
Keywords:
Drowsiness Detection, Accident Detection, Location Tracking, Road Safety, Driver FatigueAbstract
Ensuring the safety of drivers and passengers is of utmost importance in the modern world of traffic, because every year a huge number of human lives, millions, are lost due to vehicle accidents. An often underestimated but critical factor that contributes greatly to 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. Using state-of-the-art technologies such as facial recognition and GPS-based tracking, our system proactively detects signs of driver fatigue in real time [2] and provides timely warnings to drivers to prevent accidents caused by drowsiness. At the same time, the system uses advanced accident detection algorithms that distinguish minor incidents from serious collisions and ensure that appropriate responses are initiated quickly. This comprehensive solution not only improves road safety, but also speeds up emergency response, ultimately saving lives and significantly reducing accidents on our roads.
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