Abstract: Drowsiness significantly contributes to accidents and decreased performance due to its impact on attention and concentration. Various sleepiness detection methods have been proposed but have ...

1 Universidad Tecnológica de Lima Sur (UNTELS), Lima, Peru 2 Grupo de Investigación en Computación y Neurociencia Cognitiva, Universidad Tecnológica de Lima Sur (UNTELS), Lima, Peru This research ...

A real-time face recognition and drowsiness detection system using Computer Vision, Deep Learning, and modern web technologies. Monitors eye state, gaze, and head pose to enhance safety by alerting ...

This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...

Abstract: It is a difficult problem to make drivers drowsiness detection meet the needs of real time in embedded system; meanwhile, there are still some unsolved problems like drivers’ head tilted and ...