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June-2022
eISSN: 2349-5162
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Journal of Emerging Technologies and Innovative Research ( An International Scholarly Open Access Journal, Peer-reviewed, Refereed, Crossref DOI Journal )
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UGC Approved Journal no 63975(19)
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ISSN: 2349-5162 | ESTD Year : 2014 Volume 13 | Issue 3 | March 2026
New UGC Peer-Reviewed Rules
ISSN: 2349-5162 | ESTD Year : 2014 Volume 13 | Issue 3 | March 2026
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UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975
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Published Paper ID:
JETIR2206480
Registration ID:
403902
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Title
Detection of Non-Helmet Riders and Extraction of License Plate Number using Yolo v2 and OCR Method
Abstract
The goal of this project is to automate the detection of traffic offences, such as failure to wear a helmet, as well as the retrieval of a vehicle's licence plate number. Using Deep Learning, there are three phases to Object Detection. YOLOv2 and YOLOv3 recognise a motorcycle or moped, a helmet, and a rider. The licence plate number is extracted using optical character recognition (OCR) (Optical character recognition).
Key Words
Detection of Non-Helmet Riders and Extraction of License Plate Number using Yolo v2 and OCR Method
Cite This Article
"Detection of Non-Helmet Riders and Extraction of License Plate Number using Yolo v2 and OCR Method", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.e674-e677, June-2022, Available :http://www.jetir.org/papers/JETIR2206480.pdf
ISSN
2349-5162 | Impact Factor 7.95 Calculate by Google Scholar
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Cite This Article
"Detection of Non-Helmet Riders and Extraction of License Plate Number using Yolo v2 and OCR Method", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppe674-e677, June-2022, Available at : http://www.jetir.org/papers/JETIR2206480.pdf
Publication Details
Published Paper ID: JETIR2206480
Registration ID: 403902
Published In: Volume 9 | Issue 6 | Year June-2022
Page No: e674-e677
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR2206480
Published Paper PDF: https://www.jetir.org/papers/JETIR2206480
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