Real-Time Driver Drowsiness Detection Using Facial Analysis and Machine Learning Techniques

Real-Time Driver Drowsiness Detection Using Facial Analysis and Machine Learning Techniques

Drowsy driving poses a significant challenge to road safety worldwide, contributing to thousands of accidents and fatalities annually. Despite advancements in driver drowsiness detection (DDD) systems, many existing methods face limitations such as intrusiveness and delayed reaction times. This rese...

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Bibliographic Details
Main Authors: Siham Essahraui, Ismail Lamaakal, Ikhlas El Hamly, Yassine Maleh, Ibrahim Ouahbi, Khalid El Makkaoui, Mouncef Filali Bouami, Paweł Pławiak, Osama Alfarraj, Ahmed A. Abd El-Latif
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
drowsy driving
drowsiness detection
computer vision
facial analysis
machine learning
Online Access:https://www.mdpi.com/1424-8220/25/3/812

Internet

https://www.mdpi.com/1424-8220/25/3/812

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