Drowsy Driver Detection System – via Facial Recognition and Driving Data

• Main Authors: Azharudin, Nur Iman Kamila, Mansor, Hafizah, Sharmin, Shaila
• Format: Article
• Language: English
• Published: Penerbit UiTM Press 2024
• Subjects: T Technology (General)
• Online Access: http://irep.iium.edu.my/115205/1/6_DROWSY_DRIVER_DETECTION_SYSTEM_VIA_FACIAL_RECOGNITION_AND_DRIVING_DATA.pdf; http://irep.iium.edu.my/115205/; https://mjoc.uitm.edu.my/main/index.php

According to the National Highway Traffic Safety Administration, an estimated 17.6% of all fatal crashes in the years 2017–2021 involved a drowsy driver. This study proposes a drowsy driver detection system that uses both facial recognition and vehicular data to detect if a driver is feeling sleepy...