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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM16908

Helmet Detection on Two-Wheeler Riders with Deep Learning

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM16908

Volume:

6 |

11 |

Nov 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM16908

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

SP

Shrishailappa Patil

MP

Madhura Pande

SP

Sahish Pandav

SP

Soham Panchal

SP

Shivam Pandagale

YP

Yogesh Pande

GP

Ghanshyam Pandey

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Abstract

This project focuses on building a software that determines whether a motorcyclist is wearing a helmet using Machine Learning (ML). The system is able to detect this through video capture. It hopes to help in detection of riders without a helmet. The system is successfully able to detect helmets with a probability of 80%. It makes use of OpenCV, TensorFlow, and YOLOv5. It recognizes the number plate of the bike if its rider is without a helmet and captures its cropped image and saves it on the local storage of the system.

KEYWORDS

Haar-cascade Helmet detection Machine Learning Number plate capturing OpenCV Python TensorFlow YOLOv5

Cite This Article

Shrishailappa Patil, Madhura Pande, Sahish Pandav, Soham Panchal, Shivam Pandagale, Yogesh Pande, Ghanshyam Pandey, "Helmet Detection on Two-Wheeler Riders with Deep Learning," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 11, Nov 2022. https://doi.org/10.55041/IJSREM16908

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Publication Date

11/20/2022

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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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