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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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
Penerbit UiTM Press
2024
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| Subjects: | |
| 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 |
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