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World Journal of Engineering
Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.924

ICV : 79.45

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Indexing

Abstract

HELMET DETECTION ON TWO-WHEELER RIDERS USING MACHINE LEARNING

Prity Kumari* and Dr. Pawan Kumar

ABSTRACT

Now-a-days 2 wheelers is that the best most popular method of transport. it's extraordinarily fascinating for bike riders to use helmet, however sporting helmets is commonly neglected by riders worldwide vital to accidents and deaths. to deal with this issue, most countries have laws that obligation the employment of helmets for two-wheeler riders. Additionally to the law, there's a vital proportion of the force that daunts this behaviour by supplying a traffic violation price ticket. As of now, this technique is manual and tedious. The projected system is to clarify this problematic by automating the tactic of sleuthing the riders World Health Organization area unit riding while not helmets. moreover, the system additionally extracts the license plate, in abstraction of license plate formula has 5 parts: image finding, initial process, fringe detection and segmentation, feature extraction and recognition of character range plates exploitation correct machine learning algorithms therefore that it may be used to issue traffic destruction tickets. The system implements machine learning antecedent image process ways to spot riders, riding two-wheelers, World Health Organization don't seem to be sporting helmets. The system takings a video of traffic on public roads because the input and identifies moving objects within the scene. A machine learning classifier remainders applied to the moving objective to acknowledge if the moving object may be a two-wheeler. The registration code is providing by method of the output in circumstance the rider isn't sporting a helmet.

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