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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | TRAFFIC VIOLATION PREDICTION USING DEEP LEARNING BASED ON HELMETS WITH NUMBER PLATE RECOGNITION |
| Authors Name: | P.BALAJI , G.GOBINATH , N.MURUGAN , S.SUTHAGAR |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_220552
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| Published Paper Id: | IJNRDTH00146 |
| Published In: | Volume 9 Issue 5, May-2024 |
| DOI: | |
| Abstract: | 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. |
| Keywords: | Helmet Violation Detection, Road Safety, Motorcycle Accidents, Number Plate Detection. |
| Cite Article: | "TRAFFIC VIOLATION PREDICTION USING DEEP LEARNING BASED ON HELMETS WITH NUMBER PLATE RECOGNITION", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 5, page no.458-524, May-2024, Available :http://www.ijnrd.org/papers/IJNRDTH00146.pdf |
| Downloads: | 00069 |
| 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 |
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Published Paper ID:IJNRDTH00146 Registration ID: 220552 Published In: Volume 9 Issue 5, May-2024 DOI (Digital Object Identifier): Page No: 458-524 Country: cuddalore, tamil nadu, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRDTH00146 Published Paper PDF: https://www.ijnrd.org/papers/IJNRDTH00146 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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