Hard-Hat Detection for Construction Safety Visualization. (1st February 2015)

• Record Type: Journal Article
• Authors: Shrestha, Kishor; Shrestha, Pramen P.; Bajracharya, Dinesh; Yfantis, Evangelos A.
• Other Names: Pacheco-Torgal F. Academic Editor.
• Is Part Of: Journal of construction engineering. Volume 2015(2015)
• Publication Date: 2015-02-01
• Subjects: Construction projects -- Periodicals; Civil engineering -- Periodicals; Engineering -- Periodicals; Construction industry -- Periodicals; Civil engineering; Construction industry; Construction projects; Engineering; Electronic journals; Periodicals; 624
• DOI: 10.1155/2015/721380
• Languages: English
• ISSNs: 2356-7295

Abstract

Abstract : In 2012, 775 fatalities were recorded, and many more were injured at construction sites in the United States. Of these, 415 fatalities (54%) were due to fall, slips, and trips as well as being struck by falling objects. In order to decrease fatalities at construction sites to these types of events, the Occupational Safety and Health Administration (OSHA) provides Fall Prevention and OSHA-10 trainings to construction workers. Moreover, safety personnel monitor whether the workers use personal protective equipment (PPE) properly. Data shows that construction fatalities have decreased by 2% annually since 1994; however, the owners still are not satisfied with this result. Various studies have shown that fall is the biggest contributor for construction fatalities. One study showed that half of the fall fatalities were because the workers either had not used PPEs or had not used them properly. In addition, studies showed that, with proper use of hard hats, the fatalities due to fall, slips, trips, and being struck by falling objects could be reduced. This study developed and tested a hard-hat detection tool that uses image-processing techniques to identify whether workers are wearing hard hats. The tool dispatches warning messages if the workers do not use hard hats.