UGC Approved Journal no 63975(19)

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

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIRFX06031


Registration ID:
517000

Page Number

190-195

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Title

Deep Learning Based Driver Yawning Detection

Abstract

Drunk drivers are frequently to blame for accidents. We are seeking to solve this issue in our project by creating a system that will alert the driver if he or she is drowsy or weary. The facial region is first found and tracked in the recorded video stream using computer vision methods. The eye and mouth were removed, and they were examined for symptoms of driving fatigue. It is done by calculating the Mouth Aspect Ratio (MAR) and the Eye Aspect Ratio (EAR). Both EAR and MAR have threshold values; when the mouth is opened to yawn, the MAR value increases and the EAR value decreases. When these figures exceed their cutoff, the buzzer starts to alert the driver.

Key Words

Deep Learning Based Driver Yawning Detection

Cite This Article

"Deep Learning Based Driver Yawning Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.190-195, May-2023, Available :http://www.jetir.org/papers/JETIRFX06031.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

"Deep Learning Based Driver Yawning Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pp190-195, May-2023, Available at : http://www.jetir.org/papers/JETIRFX06031.pdf

Publication Details

Published Paper ID: JETIRFX06031
Registration ID: 517000
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: 190-195
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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