Deep Learning Approaches for Drowsiness Detection System: A Comprehensive Survey

Road traffic accidents are more likely when drivers are fatigued, which is a serious safety hazard. To address this issue, studies have been done to create sleepiness detecting systems. These systems track behavioral and physiological changes in drivers that signify tiredness using physiological markers and image processing techniques. Since they accurately reflect the driver's physical state, physiological variables like heart rate, pulse, breathing rate, and body temperature serve as trustworthy markers of drowsiness. These improvements in drowsiness detection technology have the potential to significantly improve driver safety and reduce accidents brought on by driver fatigue