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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 117
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Total Authors : 22301
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Published Paper Details
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| Paper Title: | AI-Powered Vehicle Number Plate Recognition and Theft Plate Detection |
| Authors Name: | Mr.Sohel Bisti , Prof. Dayanand G Savakar , Miss.Anjali Deshapande |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_206469
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| Published Paper Id: | IJRTI2509130 |
| Published In: | Volume 10 Issue 9, September-2025 |
| DOI: | |
| Abstract: | Law enforcement, security, and traffic management have all experienced significant challenges as a result of the increasing number of vehicles on the road. To solve these issues, this research proposes an AI-powered Vehicle Number Plate Identification and Theft Detection System that makes use of EasyOCR for exact character identification and YOLOv8 for real-time license plate detection. The system's integration with a Streamlit interface, which allows for both live webcam monitoring and image uploads, makes it adaptable to a variety of operating environments. Automatic cross-verification occurs between identified license plates and a database of reported stolen vehicles. When a match is found, the system sends out fast notifications, assisting law enforcement in preventing auto theft and misuse. Monitoring and alarm systems are protected from duplicate detections. The system's architecture accommodates variations in angles, lighting, and plate morphologies, resulting in consistent performance across a variety of settings. The system's user-friendly interface and fast processing speed allow for efficient traffic monitoring and surveillance at checkpoints, parking lots, and toll plazas. Its use of open-source technology ensures affordability, scalability, and adaptability for future enhancements such as mobile deployment and cloud integration. Overall, this concept provides a practical, intelligent, and automated solution to improve vehicle security and traffic control in cities. |
| Keywords: | Vehicle Number Plate Recognition, YOLOv8, EasyOCR, Computer Vision, Real-Time Detection, Streamlit, Traffic Monitoring, Smart City, Deep Learning |
| Cite Article: | "AI-Powered Vehicle Number Plate Recognition and Theft Plate Detection", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 9, page no.b245-b250, September-2025, Available :http://www.ijrti.org/papers/IJRTI2509130.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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: IJRTI2509130
Registration ID:206469
Published In: Volume 10 Issue 9, September-2025
DOI (Digital Object Identifier):
Page No: b245-b250 Country: jamkhandi/Bagalkot, Karnataka, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2509130 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2509130 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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