|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, 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) |
||||||||||||||
Issue: May 2024
Volume 9 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 96
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Helmet Detection System using YOLOv5 |
| Authors Name: | Vivek Shah , Saurav Pawar , Sahil Bashir Mohamed , Pranali Wagh , Vaisali Korade |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_192833
|
| Published Paper Id: | IJNRD2304700 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | A helmet detection system is a computer vision technology that can be used to ensure the safety of workers in various industries where helmets are required, such as construction, mining, and transportation. The system uses artificial intelligence algorithms to analyze images or videos and identify the presence of a helmet based on its color, shape, and texture. The detection system can also differentiate between different types of helmets, such as hard hats and motorcycle helmets.The primary objective of a helmet detection system is to reduce the risk of accidents and injuries caused by workers not wearing helmets. This system provides real-time feedback to workers who are not wearing helmets, reminding them of the importance of wearing one, and ultimately leading to better compliance with safety regulations. Overall, a helmet detection system is an essential tool for ensuring the safety of workers in hazardous environments. It provides an automated and accurate method for detecting the presence of helmets, leading to better compliance with safety regulations and ultimately reducing the risk of accidents and injuries |
| Keywords: | Helmet detection,YOLOv5 model ,Deep learning,Real-time ,Object detection,Road safety,Neural network,Processing time ,Efficiency,Head injuries |
| Cite Article: | "Helmet Detection System using YOLOv5", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.h1-h4, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304700.pdf |
| Downloads: | 000118764 |
| 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 |
| Publication Details: |
Published Paper ID:IJNRD2304700 Registration ID: 192833 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: h1-h4 Country: Thane, Maharashtra, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304700 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304700 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn