Drowsy driver detection system - via facial recognition and driving data / Nur Iman Kamila Azharudin, Hafizah Mansor and Shaila Sharmin
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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Teknologi MARA Press (Penerbit UiTM)
2024
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/105182/1/105182.pdf https://ir.uitm.edu.my/id/eprint/105182/ |
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