Personal Protective Equipment Detection System for Workers

Personal Protective Equipment Detection System for Workers

Registration ID: IJNRD_212785

Published ID: IJNRD2401267

DOI: Click Here to Get

Dhanashri Ashok Dagade , Dr. Yogendra V Patil , Aditya Aher , Madhumita Mahata , Meghashree Pawar

Image Recognition, surveillance cameras

The safety and well-being of workers in various industries are of paramount importance, and the use of Personal Protective Equipment (PPE) is a fundamental aspect of ensuring their protection. This abstract presents a novel approach to enhancing workplace safety through the development of a Personal Protective Equipment Detection System (PPEDS). The PPEDS is a computer vision-based solution designed to identify and monitor the correct usage of PPE among workers in real-time, thereby reducing workplace accidents and ensuring compliance with safety regulations. The PPEDS utilizes advanced image recognition algorithms and machine learning models to analyze video feeds from surveillance cameras strategically placed in the workplace. It can detect and track the presence of various types of PPE, including helmets, safety goggles, face masks, gloves, reflective vests, and ear protection devices. By identifying whether workers are wearing the appropriate PPE for their specific tasks, the system can raise alarms and notifications when violations are detected. Key features of the PPEDS include real-time detection, customizable rules and alerts, data logging and reporting, integration capabilities, worker education, and privacy considerations. The implementation of the Personal Protective Equipment Detection System aims to reduce workplace accidents, enhance safety compliance, and ultimately save lives by addressing the ever-increasing need for workplace safety and ensuring that employees are properly protected in hazardous environments.

Published Paper   E-Certificate

"Personal Protective Equipment Detection System for Workers", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 1, page no.c528-c531, January-2024, Available :https://ijnrd.org/papers/IJNRD2401267.pdf

Volume 9 Issue 1, January-2024

Pages : c528-c531

Paper Reg. ID: IJNRD_212785

Published Paper Id: IJNRD2401267

Downloads: 000121258

Research Area: Engineering

Country: pune, maharastra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2401267.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2401267

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

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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.

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