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)
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.
Keywords:
Image Recognition, surveillance cameras
Cite Article:
"Personal Protective Equipment Detection System for Workers", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 1, page no.c528-c531, January-2024, Available :http://www.ijnrd.org/papers/IJNRD2401267.pdf
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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
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