DriSafePh: An IoT Based Realtime Driver Drowsiness Detection System using Hybrid Machine learning Algorithm

Driver drowsiness contributes significantly to road accidents worldwide, and while drowsiness detection systems have already been implemented on higher-end cars, DriSafePh introduces an embedded system using a Raspberry Pi that can be implemented in any enclosed vehicle. DriSafePh aims to address th...

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Veröffentlicht in:	2024 14th International Conference on Software Technology and Engineering (ICSTE) S. 258 - 265
Hauptverfasser:	Von C. Golosinda, Kenneth, Van D. Marcellones, Jasper, Ampongol, Luke Jellergil P., Magloyuan, Neil P., Cerna, Patrick D.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 16.08.2024
Schlagworte:	Accuracy Detection algorithms drowsiness detection eye closure Hybrid Machine Learning Algorithm Machine learning Machine learning algorithms Performance evaluation Software Software algorithms Surveys Text to speech Vehicles Yawn detection
Online-Zugang:	Volltext
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