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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: April 2024

Volume 9 | Issue 4

Impact factor: 8.15

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Paper Title: Deep Learning-Based Automatic Helmet and Number Plate Recognition
Authors Name: Amrin Saba , Dr Kumaraswamy S
Unique Id: IJSDR2302117
Published In: Volume 8 Issue 2, February-2023
Abstract: In addition to wearing helmets, which reduce the risk of severe head and brain injuries by absorbing the force of a force or collision to the head, motorcycle riders must take additional precautions to protect their bodies. Riders and passengers who wear helmets have a considerably higher chance of surviving an accident than those who do not. Every motorcycle rider is required by law to wear a helmet at all times. However, a lot of biker’s disregard and operate their vehicle without any form of defence. The policeman tried to manually regulate the situation, but it was insufficient given the actual situation. Despite the recent requirement for helmets, many people continue to operate motor vehicles without them. Since helmets are the primary piece of safety gear used in developing nations, the number of fatalities has increased every year. Wearing a helmet is the greatest way to reduce fatalities and brain damage from motorcycle and cycling accidents. Motorcycle operators incur a high danger of suffering fatal head injuries if they don't wear helmets. In addition to the additional expenses that helmet-less motorcyclists inflict on hospitals, the cost of the incapacity caused by severe head injuries affects individuals, families, as well as their careers and social lives. In order to track which motorcycles are wearing helmets and which are not, we employ deep learning algorithms CNN and DenseNet Model to identify those that are. Further to achieve greater accuracy we compare both the deep learning algorithms. For the Number Plate detection YOLO is used.
Keywords: CNN , DenseNet Model, YOLO
Cite Article: "Deep Learning-Based Automatic Helmet and Number Plate Recognition", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 2, page no.659 - 667, February-2023, Available :http://www.ijsdr.org/papers/IJSDR2302117.pdf
Downloads: 000337067
Publication Details: Published Paper ID: IJSDR2302117
Registration ID:203983
Published In: Volume 8 Issue 2, February-2023
DOI (Digital Object Identifier):
Page No: 659 - 667
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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