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IJNRD
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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Impact Factor : 8.76

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Paper Title: Smart Traffic Cop - Urban City Traffic Violations Detection, Reporting And Fining System Based On Computer Vision
Authors Name: Gunarathne N.U. , A.M.M.P.B. Attanayake , Hettigedara H.G.I.H , L.P.D.P. Sandalika , P.S. Bandara
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IJNRD_183622
Published Paper Id: IJNRD2211028
Published In: Volume 7 Issue 11, November-2022
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Abstract: Sri Lanka has highly congested roads because of the rapid growth of vehicle ownership, the authorities' ineffectiveness in penalizing traffic offenses, poor road network maintenance, and less scrutiny of the driver's license application process. This negatively affects the country's health, well-being, and economic growth. The current traffic management system still heavily relies on a manual approach. In order to improve road safety, no platform integrates detecting traffic violations with a mechanism for issuing fines. Computer vision systems can significantly reduce traffic violations by tracking and penalizing traffic violations. The proposed approach was implemented using YOLOv5 object detection for traffic violation detections such as red-light runners, vehicle high speeding, and illegal lane changes. A results-focused facility requires computer vision to identify the vehicle and its number plate. Traffic law violations will be detected in real-time by the proposed system, which will report them to the traffic police to calculate dynamic fines based on the severity of the violation.
Keywords: traffic violation, computer vision, red light runners, high speeding, illegal lane change, YOLOv5
Cite Article: "Smart Traffic Cop - Urban City Traffic Violations Detection, Reporting And Fining System Based On Computer Vision", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 11, page no.a271-a279, November-2022, Available :http://www.ijnrd.org/papers/IJNRD2211028.pdf
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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
Publication Details: Published Paper ID:IJNRD2211028
Registration ID: 183622
Published In: Volume 7 Issue 11, November-2022
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Page No: a271-a279
Country: Galle, Southern Province, Sri Lanka
Research Area: Information Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2211028
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2211028
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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