Detection of safety equipment to prevent hazards that threaten construction workers

Sim, Daeun (2023) Detection of safety equipment to prevent hazards that threaten construction workers. Masters thesis, Dublin, National College of Ireland.

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Abstract

Construction industry sites have a high occurrence of accidents compared to other sectors. Wearing personal protective equipment can minimise injuries of workers and legally workers have to wear it at the construction site. Workers can underestimate the importance of properly wearing protective gear and it can be unfeasible for companies to inspect workers on a daily basis. In this case, an automated monitoring system based on computer vision can be used to detect any improper use of PPE equipment. In this work, an automated system is developed to detect if workers on a construction site are wearing a helmet, a vest, gloves, and boots. The automated system is based on the YOLOv8 model. The PPE detection model has achieved an mAP of 0.74 accuracy in detecting four safety equipment, with an F1 score of 0.6 for helmet and vest and 0.4 for gloves and boots.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Rifai, Hicham UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence > Computer vision Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence > Computer vision H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Construction Industry H Social Sciences > HD Industries. Land use. Labor > Issues of Labour and Work > Health and Safety at Work.
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Tamara Malone
Date Deposited:	02 Jan 2025 15:11
Last Modified:	02 Jan 2025 15:11
URI:	https://norma.ncirl.ie/id/eprint/7267

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