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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
DRIVER DROWSINESS DETECTION USING DEEP LEARNING TECHNIQUES
Authors
Yasir Iftekhar Khan
Keywords
Driver Drowsiness Detection, Deep Learning, University of Texas at Arlington Real-life Drowsiness Dataset (UTA-RLDD).
Abstract
The majority of human injuries and fatalities are caused by traffic accidents and other kinds of accidents. According to World Health Organization data from 2015, traffic accidents killed approximately 1.25 million people worldwide, or one person is killed every 25 seconds. While the cost of road accidents in Europe is projected to be around 160 billion euros, according to the US National Highway Traffic Safety Administration, drowsy driving is responsible for approximately 100,000 accidents in the United States alone (NHTSA). A non-invasive approach to detecting driver drowsiness is discussed in this paper. To identify the driver's drowsiness, the face features are retrieved, and then the extracted facial features are put to a deep learning model. The Real-life Drowsiness Dataset (UTA-RLDD) from the University of Texas at Arlington is used in this work. The suggested method successfully determines the driver's level of awareness.
IJCRT's Publication Details
Unique Identification Number - IJCRT2210246
Paper ID - 226387
Page Number(s) - c123-c126
Pubished in - Volume 10 | Issue 10 | October 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Yasir Iftekhar Khan, "DRIVER DROWSINESS DETECTION USING DEEP LEARNING TECHNIQUES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 10, pp.c123-c126, October 2022, Available at :http://www.ijcrt.org/papers/IJCRT2210246.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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