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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 4, APRIL 2022

Hard Hat Detection

Dr. Soni Chaturvedi, Khushal Pardhi, Parnit Kokode Suvarta Koche, Pranay Thakur

DOI: 10.17148/IJARCCE.2022.11444

Abstract: In 2012, 775 deaths were recorded, and many more were injured on construction sites in the United States. Of this, 415 deaths (54%) were caused by falls, slipping, walking and falling objects. To reduce mortality in construction sites at these types of events, the Occupational Safety and Health Administration (OSHA) provides Fall Prevention and OSHA-10 training to construction workers. In addition, security personnel monitor whether employees are using protective equipment (PPE) properly. Data show that construction deaths have dropped by 2% per year since 1994; however, the owners are not satisfied with this result. Various studies have shown that falls are a major cause of death in construction. One study showed that half of all deaths due to falls were due to employees not using PPE or not using it properly. In addition, studies have shown that with proper use of hard hats, deaths from falls, slipping, walking, and falling objects can be reduced. The study developed and tested a strong hat acquisition tool that uses image processing techniques to determine if employees wear strong hats. The tool sends warning messages when employees do not use hard hats.

Keywords: Hard Hat , Construction Site , Work Place Safety , Workers .

How to Cite:

[1] Dr. Soni Chaturvedi, Khushal Pardhi, Parnit Kokode Suvarta Koche, Pranay Thakur, “Hard Hat Detection,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11444