Personal Protective Equipment detection in chemical industry

Personal Protective Equipment detection in chemical industry

Registration ID: IJNRD_194605

Published ID: IJNRD2305248

DOI: Click Here to Get

Mohanraj S , Dineshkumar S , Kalaivani M , Monish S

PPE Detection, YOLO v8, Deep learning, chemical industries.

The YOLOv8 algorithm is a deep learning-based object detection method that can recognize items inside an image with high accuracy. The system was trained on a huge collection of photos of employees wearing various PPE configurations, such as gloves, masks, goggles, and suits, allowing it to accurately recognize PPE usage. Real-time monitoring and alarms may be supplied to guarantee that safety standards are followed at all times by integrating the system with current security and safety monitoring systems. This technology integrates easily with current security and safety monitoring systems, enabling real-time monitoring and alarms to verify that safety standards are followed. The suggested method has the potential to considerably enhance chemical sector safety outcomes. The technology decreases the risk of accidents and injuries caused by PPE breaches by automating PPE detection. The system can also contribute to a safer working environment for employees by protecting them from dangerous chemicals and operations. Furthermore, by decreasing the requirement for manual monitoring and inspection by safety people, the system can increase operating efficiency and free up safety workers for other activities. Furthermore, by training the YOLOv8 algorithm on other datasets, this solution can be applied to multiple industries that need PPE compliance, such as healthcare and construction, allowing it to recognize particular forms of PPE, such as surgical masks and hard helmets.

Published Paper   E-Certificate

"Personal Protective Equipment detection in chemical industry ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.c354-c359, May-2023, Available :https://ijnrd.org/papers/IJNRD2305248.pdf

Volume 8 Issue 5, May-2023

Pages : c354-c359

Paper Reg. ID: IJNRD_194605

Published Paper Id: IJNRD2305248

Downloads: 000121122

Research Area: Engineering

Country: Coimbatore, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305248.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305248

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