UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 5
May-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2005343


Registration ID:
232753

Page Number

229-231

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Title

REAL TIME DROWSINESS DETECTION

Abstract

A large number of traffic accidents occur worldwide every year that claim the lives of millions of people. A prodigious number of these accidents leave people with astringent injuries such as cut arms, lost legs, spine imjuries, brain damage etc which are no less than a fatality. Not only does it claim lives but in many cases it leads to loss of property.Statistics claim that a vast amount of these accidents are caused on pert of the drivers and one of the leading causes is the driver drowsiness. To tackle this problem virtuoso have proposed many techniques and methods that encapsulate a number of fields of studies of science among which one prominent and promising technique is that of computer vision in amalgamation with one of the assuring technique of artificial intelligence called machine learning.

Key Words

Driver fatigue, Drowsiness detection , Deep learning, Accident prevention Intelligent transport system.

Cite This Article

"REAL TIME DROWSINESS DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.229-231, May-2020, Available :http://www.jetir.org/papers/JETIR2005343.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"REAL TIME DROWSINESS DETECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp229-231, May-2020, Available at : http://www.jetir.org/papers/JETIR2005343.pdf

Publication Details

Published Paper ID: JETIR2005343
Registration ID: 232753
Published In: Volume 7 | Issue 5 | Year May-2020
DOI (Digital Object Identifier):
Page No: 229-231
Country: SRINAGAR, JAMMU & KASHMIR, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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