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Machine Learning and Artificial Intelligence Techniques for Detecting Driver Drowsiness Cover

Machine Learning and Artificial Intelligence Techniques for Detecting Driver Drowsiness

Journal of Automation, Mobile Robotics and Intelligent Systems
Volume 16 (2022): Issue 2 (May 2022)
By: Boppuru Rudra Prathap,  Kukatlapalli Pradeep Kumar,  Javid Hussain and  Cherukuri Ravindranath Chowdary  
Open Access
|May 2023

Authors

Boppuru Rudra Prathap

boppuru.prathap@christuniversity.in

Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India

Kukatlapalli Pradeep Kumar

Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India

Javid Hussain

Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India

Cherukuri Ravindranath Chowdary

Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India
DOI: https://doi.org/10.14313/jamris/2-2022/17 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
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Language: English
Page range: 64 - 73
Submitted on: Feb 9, 2022
Accepted on: May 3, 2022
Published on: May 29, 2023
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Artificial Intelligence,
Machine Learning,
Drowsiness Detection,
Image Processing,
Convolutional Neural Networks,
AI Visuals
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Control engineering, metrology and testing,
Mechanical engineering,
Fundamentals of mechanical engineering

© 2023 Boppuru Rudra Prathap, Kukatlapalli Pradeep Kumar, Javid Hussain, Cherukuri Ravindranath Chowdary, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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