Siham Essahraui

A lightweight deep learning model for real-time in-vehicle driver distraction detection with low-latency inference

Siham Essahraui, Chaymae Rami, Khalid El Makkaoui, Ibrahim Ouahbi

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

Siham Essahraui, Ismail Lamaakal, Ikhlas El Hamly, Yassine Maleh, Ibrahim Ouahbi, Khalid El Makkaoui, et al.

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 react…Read more