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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Principais autores:	Nur Iman Kamila Azharudin, Hafizah Mansor, Shaila Sharmin
Format:	Artigo
Jezik:	Inglês
Izdano:	UiTM Press 2024-10-01
Serija:	Malaysian Journal of Computing
Teme:	driving data drowsy driver detection facial recognition machine learning technique
Online dostop:	https://ir.uitm.edu.my/id/eprint/105182
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