Driver Drowsiness Detection System

Among the leading causes of fatalities in traffic accidents is being sleepy while driving. Long-haul truck drivers, bus or overnight bus drivers, and drivers who operate their cars after midnight are more prone to encounter this issue. Accidents Senger’s worst Every year, car accidents involving dru...

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Main Authors: Ranjitha, M.M., Ushasree, R., Chitra, B.
Format: Article
Language:English
Published: INTI International University 2024
Subjects:
Online Access:http://eprints.intimal.edu.my/1933/1/ij2024-11.pdf
http://eprints.intimal.edu.my/1933/
https://intijournal.intimal.edu.my
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spelling my-inti-eprints.19332024-07-10T08:49:10Z http://eprints.intimal.edu.my/1933/ Driver Drowsiness Detection System Ranjitha, M.M. Ushasree, R. Chitra, B. Q Science (General) QA75 Electronic computers. Computer science QA76 Computer software Among the leading causes of fatalities in traffic accidents is being sleepy while driving. Long-haul truck drivers, bus or overnight bus drivers, and drivers who operate their cars after midnight are more prone to encounter this issue. Accidents Senger’s worst Every year, car accidents involving drunk drivers result in several fatalities and serious injuries. Due to their enormous practical significance, identifying driver tiredness and its indication are therefore significant study areas. The acquisition system, processing system, and warning system are the three components or modules that make up the fundamental sleepiness detecting apparatus. The acquisition system takes a frontal facial video of the driver's and transmits it to the processing block for real-time analysis to identify weariness. INTI International University 2024-07 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1933/1/ij2024-11.pdf Ranjitha, M.M. and Ushasree, R. and Chitra, B. (2024) Driver Drowsiness Detection System. INTI JOURNAL, 2024 (11). pp. 1-8. ISSN e2600-7320 https://intijournal.intimal.edu.my
institution INTI International University
building INTI Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider INTI International University
content_source INTI Institutional Repository
url_provider http://eprints.intimal.edu.my
language English
topic Q Science (General)
QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle Q Science (General)
QA75 Electronic computers. Computer science
QA76 Computer software
Ranjitha, M.M.
Ushasree, R.
Chitra, B.
Driver Drowsiness Detection System
description Among the leading causes of fatalities in traffic accidents is being sleepy while driving. Long-haul truck drivers, bus or overnight bus drivers, and drivers who operate their cars after midnight are more prone to encounter this issue. Accidents Senger’s worst Every year, car accidents involving drunk drivers result in several fatalities and serious injuries. Due to their enormous practical significance, identifying driver tiredness and its indication are therefore significant study areas. The acquisition system, processing system, and warning system are the three components or modules that make up the fundamental sleepiness detecting apparatus. The acquisition system takes a frontal facial video of the driver's and transmits it to the processing block for real-time analysis to identify weariness.
format Article
author Ranjitha, M.M.
Ushasree, R.
Chitra, B.
author_facet Ranjitha, M.M.
Ushasree, R.
Chitra, B.
author_sort Ranjitha, M.M.
title Driver Drowsiness Detection System
title_short Driver Drowsiness Detection System
title_full Driver Drowsiness Detection System
title_fullStr Driver Drowsiness Detection System
title_full_unstemmed Driver Drowsiness Detection System
title_sort driver drowsiness detection system
publisher INTI International University
publishDate 2024
url http://eprints.intimal.edu.my/1933/1/ij2024-11.pdf
http://eprints.intimal.edu.my/1933/
https://intijournal.intimal.edu.my
_version_ 1806436247067951104
score 13.18916