EffRes-DrowsyNet: A Novel Hybrid Deep Learning Model Combining EfficientNetB0 and ResNet50 for Driver Drowsiness Detection

EffRes-DrowsyNet: A Novel Hybrid Deep Learning Model Combining EfficientNetB0 and ResNet50 for Driver Drowsiness Detection

Driver drowsiness is a major contributor to road accidents, often resulting from delayed reaction times and impaired cognitive performance. This study introduces EffRes-DrowsyNet, a hybrid deep learning model that integrates the architectural efficiencies of EfficientNetB0 with the deep representati...

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Bibliographic Details
Main Authors: Sama Hussein Al-Gburi, Kanar Alaa Al-Sammak, Ion Marghescu, Claudia Cristina Oprea, Ana-Maria Claudia Drăgulinescu, Nayef A. M. Alduais, Khattab M. Ali Alheeti, Nawar Alaa Hussein Al-Sammak
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
hybrid deep learning
driver drowsiness detection
EfficientNetB0
ResNet50
image classification
real-time video analytics
Online Access:https://www.mdpi.com/1424-8220/25/12/3711
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