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)
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
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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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