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Construction Site Safety Helmet Detection In Mobile Application

The construction industry has had exceptionally high accident rates compared to other industries. However, most of these injuries and accidents can be avoided if workers wore appropriate personal protective equipment (PPE) like helmets, vests, boots, or safety glasses. The absence of PPE has been id...

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Main Author: Ang, Suzanne
Format: Undergraduates Project Papers
Language:English
Published: 2023
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/40590/1/CB19103.pdf
http://umpir.ump.edu.my/id/eprint/40590/
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spelling my.ump.umpir.405902024-03-04T07:44:11Z http://umpir.ump.edu.my/id/eprint/40590/ Construction Site Safety Helmet Detection In Mobile Application Ang, Suzanne QA75 Electronic computers. Computer science QA76 Computer software The construction industry has had exceptionally high accident rates compared to other industries. However, most of these injuries and accidents can be avoided if workers wore appropriate personal protective equipment (PPE) like helmets, vests, boots, or safety glasses. The absence of PPE has been identified as a significant issue affecting construction site safety in several research studies. Each piece of equipment in a set of PPE plays a vital role in minimizing the risk of injuries. Therefore, onsite workers must take into consideration this precaution when working in dangerous environments. It is impossible for employers to keep an eye on their workers 24/7 that are most of the time located in remote areas. To overcome this limitation, the use of computer vision-assisted technology is becoming increasingly common. Therefore, this project is aimed at developing an application which focuses on construction site safety helmet detection using computer vision-based technology. The application receives alerts on helmet non-compliance on workers detected using the technology and sends the alerts to the employer for further actions to be taken. 2023-01 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40590/1/CB19103.pdf Ang, Suzanne (2023) Construction Site Safety Helmet Detection In Mobile Application. Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah.
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Ang, Suzanne
Construction Site Safety Helmet Detection In Mobile Application
description The construction industry has had exceptionally high accident rates compared to other industries. However, most of these injuries and accidents can be avoided if workers wore appropriate personal protective equipment (PPE) like helmets, vests, boots, or safety glasses. The absence of PPE has been identified as a significant issue affecting construction site safety in several research studies. Each piece of equipment in a set of PPE plays a vital role in minimizing the risk of injuries. Therefore, onsite workers must take into consideration this precaution when working in dangerous environments. It is impossible for employers to keep an eye on their workers 24/7 that are most of the time located in remote areas. To overcome this limitation, the use of computer vision-assisted technology is becoming increasingly common. Therefore, this project is aimed at developing an application which focuses on construction site safety helmet detection using computer vision-based technology. The application receives alerts on helmet non-compliance on workers detected using the technology and sends the alerts to the employer for further actions to be taken.
format Undergraduates Project Papers
author Ang, Suzanne
author_facet Ang, Suzanne
author_sort Ang, Suzanne
title Construction Site Safety Helmet Detection In Mobile Application
title_short Construction Site Safety Helmet Detection In Mobile Application
title_full Construction Site Safety Helmet Detection In Mobile Application
title_fullStr Construction Site Safety Helmet Detection In Mobile Application
title_full_unstemmed Construction Site Safety Helmet Detection In Mobile Application
title_sort construction site safety helmet detection in mobile application
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/40590/1/CB19103.pdf
http://umpir.ump.edu.my/id/eprint/40590/
_version_ 1822924177782341632
score 13.235362

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