Open AccessDriver Drowsiness Detection using Deep Learning Algorithms
Author(s) -
Prof Shobha Raskar Prof Jaya Mane
Publication year - 2022
Publication title -
indian scientific journal of research in engineering and management
Language(s) - English
Resource type - Journals
ISSN - 2582-3930
DOI - 10.55041/ijsrem12195
Subject(s) - deep learning , artificial intelligence , computer science , face detection , face (sociological concept) , machine learning , facial recognition system , computer vision , pattern recognition (psychology) , social science , sociology
—This paper gives an overview of the research on applying deep learning algorithms to detect tired faces. Many car accidents and fatalities are caused by drowsy drivers around the world. The development of computing technology has made it possible to create intelligent face detection systems. Faces provide information that can be utilised to deduce sleepiness levels. We use deep learning to predict actual human behaviour during sleepiness episodes using face cues as a target. Keywords—Drowsy face Detection, Facial Features, Deep learning, Human Behavior.