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Published Paper Details:
HELMET, NUMBER PLATE DETECTION AND STOLEN VEHICLE RECOGNITION USING MACHINE LEARNING
Authors
Vinaya Kulkarni,Sanskruti Talwekar,Dhanashree Pawar,Rupali Bharambe,Akshata Mahadik
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Keywords
Helmet Detection, Number plate Detection, Stolen Vehicle Identification.
Abstract
Traffic congestion is one of the major
problems in major cities due to the increase in the number of
vehicles. In the current situation, we come across various problems in traffic regulations in India which can be solved with different ideas. Riding a motorcycle without wearing a helmet is a traffic violation that has resulted in an increase in the number of accidents and deaths in India. The existing system monitors traffic violations primarily through CCTV recordings, where the traffic police have to look into the frame where the traffic violation is happening, and zoom into the license plate in case the rider is not wearing a helmet Helmet detection method is a combination of classification and cluster. Helmet detection is an important, yet challenging vision task. It is a critical part of many applications such as traffic surveillance. Our proposed method work is as follows, Pre-processing, Feature Extraction, and classification. In this paper, the survey is done on many methods and technologies used to perform the
objectives. Recent research has successfully done this work based on CNN, R-CNN, LBP, HoG, HaaR features, etc. In this research work, a Non-Helmet Rider detection system is built to satisfy the automation of detecting the traffic violation of not wearing helmets and extracting the vehicle�s license plate numbers. The main principle involved is Object Detection using Deep Learning at three levels. The objects detected are a person with a motorcycle at the first level using YOLOv3, a helmet at a second level using YOLOv5, License plate at the last level using YOLOv3. Then the license plate registration number is extracted using OCR (Optical Character Recognition). All these techniques are helpful to detect the stolen vehicle from the database and by using this traffic police officers would know about the stolen vehicle. Using this system, officers can track the stolen vehicle using location reports.
IJCRT's Publication Details
Unique Identification Number - IJCRT2303603
Paper ID - 232514
Author type - Indian Author
Page Number(s) - f298-f301
Pubished in - Volume 11 | Issue 3 | March 2023
DOI (Digital Object Identifier) -
No Of Downloads - 164
Author Country - India, 411043, Pune, Pune, 411043, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
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Vinaya Kulkarni,Sanskruti Talwekar,Dhanashree Pawar,Rupali Bharambe,Akshata Mahadik, "HELMET, NUMBER PLATE DETECTION AND STOLEN VEHICLE RECOGNITION USING MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 3, pp.f298-f301, March 2023, Available at :http://www.ijcrt.org/papers/IJCRT2303603.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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