Helmet Detection and Number Plate Recognition using Machine Learning

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Abhijit Kishor Nimbalkar
Nikhil Rajesh Shirale
Aniket Ramesh  Jadhav
Niraj Sanjay Gadekar
S. B. Bhosale

Abstract

Motorcycle riders who do not wear helmets put themselves in grave danger. According to a 2017 UN motorcycle research, over 15,000 biker fatalities may be prevented. every year with safety precautions in India. Additionally, it states that riders who wear helmets have a 42% higher chance of surviving collisions and a 69% higher chance of avoiding injuries. The high volume of traffic has made manual vehicle monitoring difficult. The goal of our effort is to use deep learning to automate this Our program tracks traffic and identifies riders who are not wearing helmets with the use of video feeds. After then, it makes a note storing the vehicle's license plate information in a database, which enables authorities to more easily monitor and alert drivers who are breaking traffic laws.

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How to Cite
Nimbalkar , A. K., Shirale , N. R., Jadhav , A. R., Gadekar , N. S., & Bhosale , S. B. (2025). Helmet Detection and Number Plate Recognition using Machine Learning. International Journal of Recent Advances in Engineering and Technology, 14(1s), 138–141. Retrieved from https://journals.mriindia.com/index.php/ijraet/article/view/262
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