Open AccessDrowsy Face Detection using Deep Learning Algorithms
Author(s) -
Anish Chandrasekaran
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.35526
Subject(s) - deep learning , artificial intelligence , computer science , face (sociological concept) , face detection , facial recognition system , machine learning , field (mathematics) , computer vision , pattern recognition (psychology) , mathematics , social science , sociology , pure mathematics
An important aspect of machine vision and image processing could be drowsiness detection system due to its high significance. In recent years there have been many research projects reported in the literature in this field.In this paper unlike the conventional drowsiness detection methods using machine learning we used deep learning techniques.Driver drowsiness results in many car crashes and fatalities worldwide.Whereas drowsiness in online attendees results in less attention span and decrease in the learning capabilities, such as meetings, lectures, webinars held. The advancement in computing technology has provided the means for building intelligent face detection systems.Faces contain information that can be used to interpret levels of drowsiness.Here we employ deep learning to determine actual human behavior during drowsiness episodes targeting the facial features.