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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/IJSREM22547

Drowsiness Alert Alcohol Detection System

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM22547

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

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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SB

Shweta Baviskar

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Abstract

This article is designed to improve road safety by addressing driver fatigue, a major factor in accidents. The system uses visual data and artificial intelligence to detect drowsy drivers. It uses technology to detect, track and identify the driver’s face and eyes,using the Softmax neurotransfer function to measurePERCLOS (percentage of closed eyes). In addition, the system includes an alcohol test to assess the driver’s condition and determine whether he is in normal or abnormal conditions.Driverfatigue poses a particular risk for drivers of large vehicles suchas buses and heavy trucks, due to the stress and long driving ina congested commute. By using this technique, we aim to reduce the number of acci-dents caused by driver fatigue and contribute to road safety.

KEYWORDS

Mouth Detection Eyes Detection Convolutional neural Network Drowsiness.

Cite This Article

Shweta Baviskar, "Drowsiness Alert Alcohol Detection System," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023. https://doi.org/10.55041/IJSREM22547

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Publication Date

5/31/2023

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Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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