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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM33529

Detection of Drowsy Drivers in Video Sequences via LSTM with CNN Features

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM33529

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM33529

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

NK

Navjot Kaur

GGNSSDR

Ghanta Giri Naga Siva Sai Durga Ramesh

MCM

M. Chandra Mouli

RKK

Rahul Kumar Kushwaha

MYR

M. Yesu Raju

ASC

A. Sunil Chowdary

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Abstract

Summary: Fatigued driving is one of the main causes of traffic accidents. This paper developed a method for sleep drive detection that makes use of the convolutional neural network (CNN), recurrent neural network (RNN), short-term neural network (LSTM), cascade, and cam switching algorithms. Using CNN, the algorithm initially extracts the driver’s face traits.

KEYWORDS

Convolution neural network Recurrent neural networks long short-term memory eye tracking face detection drowsy driver detection deep learning computer vision machine learning and deep learning.

Cite This Article

Navjot Kaur, Ghanta Giri Naga Siva Sai Durga Ramesh, M. Chandra Mouli, Rahul Kumar Kushwaha, M. Yesu Raju, A. Sunil Chowdary, "Detection of Drowsy Drivers in Video Sequences via LSTM with CNN Features," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024. https://doi.org/10.55041/IJSREM33529

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Publication Date

12/31/45420

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Review Rounds: 2

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