TRAFFIC VIOLATION PREDICTION USING DEEP LEARNING BASED ON HELMETS WITH NUMBER PLATE RECOGNITION

TRAFFIC VIOLATION PREDICTION USING DEEP LEARNING BASED ON HELMETS WITH NUMBER PLATE RECOGNITION

Registration ID: IJNRD_220552

Published ID: IJNRDTH00146

DOI: Click Here to Get

P.BALAJI , G.GOBINATH , N.MURUGAN , S.SUTHAGAR

Helmet Violation Detection, Road Safety, Motorcycle Accidents, Number Plate Detection.

Helmet violation detection is a crucial aspect of road safety, as it can significantly reduce the number of fatalities and injuries caused by motorcycle accidents. In recent years, computer vision techniques have been widely used to develop automated systems for helmet violation detection. This project proposes a helmet violation detection system using image processing and machine learning techniques. The proposed system employs computer vision algorithms to detect whether a motorcyclist is wearing a helmet or not. The system is based on a deep learning model, specifically Convolutional Neural Networks (CNN), to classify the input images into two classes, i.e., helmet and non-helmet. The system is trained on a large dataset of images with different lighting conditions, backgrounds, and helmet types to enhance its accuracy and generalization ability. The proposed system can be implemented on existing surveillance cameras installed at strategic locations on the road. This system has the potential to increase road safety and reduce the number of motorcycle accidents caused by the violation of helmet-wearing rules. The system involves person detection, helmet, vs.no-helmet, classification using YOLO algorithm. Convolutional neural network with sequential model is implementing for number plate detection process. CNN classification model proposes for classify the number plate in image and extract the user details. Then calculate the fine amount.

Published Paper   E-Certificate

"TRAFFIC VIOLATION PREDICTION USING DEEP LEARNING BASED ON HELMETS WITH NUMBER PLATE RECOGNITION", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.458-524, May-2024, Available :https://ijnrd.org/papers/IJNRDTH00146.pdf

Volume 9 Issue 5, May-2024

Pages : 458-524

Paper Reg. ID: IJNRD_220552

Published Paper Id: IJNRDTH00146

Downloads: 000121178

Research Area: Computer Engineering 

Country: cuddalore, tamil nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRDTH00146.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRDTH00146

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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