Enhancing Driver Safety: Real-time Drowsiness Detection with InceptionV3 Transfer Learning

Every year, a significant number of lives are tragically lost due to vehicle accidents worldwide, with drowsiness being the leading cause. To address this critical issue and reduce accidents, we propose implementing a drowsiness detection system that can save countless lives globally. Our solution combines cutting-edge deep learning algorithms with computer vision techniques to effectively detect driver drowsiness and provide timely warnings.Through the utilization of advanced deep learning techniques, our system will be capable of analyzing images or video streams from onboard cameras to identify key indicators of drowsiness in the driver, such as eye closures and head movements. Once drowsiness is detected, the system will trigger an alert to notify the driver and prompt them to take appropriate actions to prevent accidents.By deploying this project, we aim to significantly enhance road safety by effectively preventing accidents caused by drowsy driving.