Paper Title

Helmet Detection System using YOLOv5

Article Identifiers

Registration ID: IJNRD_192833

Published ID: IJNRD2304700

DOI: Click Here to Get

Authors

Vivek Shah , Saurav Pawar , Sahil Bashir Mohamed , Pranali Wagh , Vaisali Korade

Keywords

Helmet detection,YOLOv5 model ,Deep learning,Real-time ,Object detection,Road safety,Neural network,Processing time ,Efficiency,Head injuries

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

How To Cite (APA)

Vivek Shah, Saurav Pawar, Sahil Bashir Mohamed, Pranali Wagh, & Vaisali Korade (April-2023). Helmet Detection System using YOLOv5. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), h1-h4. https://ijnrd.org/papers/IJNRD2304700.pdf

Issue

Volume 8 Issue 4, April-2023

Pages : h1-h4

Other Publication Details

Paper Reg. ID: IJNRD_192833

Published Paper Id: IJNRD2304700

Downloads: 000121985

Research Area: Information Technology 

Country: Thane, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304700.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304700

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

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

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

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

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