Abstract: With the rapid development of intelligent transportation systems and growing emphasis on driver safety, real-time detection of driver drowsiness has become ... introduces a novel ...

This study examines the effectiveness of a driver drowsiness detection system by analyzing visual behavioral indicators ... Ratio (EAR), Mouth Aspect Ratio (MAR), head pose estimation using the ...

AutoSeatAdjust is an embedded AI project that uses real-time camera-based eye detection to automatically adjust the driver’s seat. It trains an XGBoost regression model on a dataset of eye coordinates ...

A real-time driver drowsiness detection system using deep learning and computer vision techniques, developed to enhance road safety by identifying signs of driver fatigue through eye state ...