Helmet Detection and Number Plate Detection

Helmet Detection and Number Plate Detection

Registration ID: IJNRD_205310

Published ID: IJNRD2309148

DOI: Click Here to Get

Abhishek Chauhan , Ritu

Helmet detection and number plate detection are two important tasks in the field of computer vision with various applications in the areas of road safety, law enforcement, and intelligent transportation systems. Helmet detection involves detecting the presence or absence of helmets worn by motorcyclists, which can help prevent accidents and reduce the risk of head injuries. On the other hand, number plate detection involves recognizing and localizing the license plates of vehicles, which is essential for identifying and tracking vehicles for various purposes, such as toll collection and traffic law enforcement. Deep learning methods have demonstrated encouraging outcomes in tasks involving the detection of helmets and number plates. However, the accuracy and robustness of these methods still need to be improved to address real-world challenges such as varying lighting conditions, occlusions, and complex backgrounds. This abstract provides an overview of the importance of helmet detection and number plate detection, and highlights the potential of deep learning-based approaches for solving these tasks.

Published Paper   E-Certificate

"Helmet Detection and Number Plate Detection", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 9, page no.b403-b412, September-2023, Available :https://ijnrd.org/papers/IJNRD2309148.pdf

Volume 8 Issue 9, September-2023

Pages : b403-b412

Paper Reg. ID: IJNRD_205310

Published Paper Id: IJNRD2309148

Downloads: 000121130

Research Area: Computer Science & Technology 

Country: Rohtak, Haryana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2309148.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309148

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High 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) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area