DROWSY DRIVER DETECTION SYSTEM – VIA FACIAL RECOGNITION AND DRIVING DATA

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...

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Bibliographic Details
Published in:Malaysian Journal of Computing
Main Authors: Nur Iman Kamila Azharudin, Hafizah Mansor, Shaila Sharmin
Format: Article
Language:English
Published: UiTM Press 2024-10-01
Subjects:
driving data
drowsy driver detection
facial recognition
machine learning technique
Online Access:https://ir.uitm.edu.my/id/eprint/105182

Internet

https://ir.uitm.edu.my/id/eprint/105182

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