Construction Site Hazards Identification Using Deep Learning and Computer Vision

Author:

Alateeq Muneerah M.1,P.P. Fathimathul Rajeena1ORCID,Ali Mona A. S.12ORCID

Affiliation:

1. Computer Science Department, College of Computer Science and Information Technology, King Faisal University, Al Ahsa 36291, Saudi Arabia

2. Computer Science Department, Faculty of Computers and Artificial Intelligence, Benha University, Benha 12311, Egypt

Abstract

Workers on construction sites face numerous health and safety risks. Authorities have made numerous attempts to enhance safety management; yet incidents continue to occur, impacting both worker health and the project’s forward momentum. To that end, developing strategies to improve construction site safety management is crucial. The goal of this project is to employ computer vision and deep learning methods to create a model that can recognize construction workers, their PPE and the surrounding heavy equipment from CCTV footage. Then, the hazards can be discovered and identified based on an analysis of the imagery data and other criteria including weather conditions, and the on-site safety officer can be contacted. Our own dataset was used to train the You Only Look Once model, version 5 (YOLO-v5), which was put to use as an object detection model. The detection model’s performance in tests showed promise for fast and accurate object recognition in the field.

Funder

Deanship of Scientific Research, King Faisal University, Saudi Arabia

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference34 articles.

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4. Park, C., Doyeop, L., and Numan, K. (July, January 28). An analysis on safety risk judgment patterns towards computer vision based construction safety management. Proceedings of the Creative Construction e-Conference 2020, Opatija, Croatia.

5. Zhang, J., Zhang, D., Liu, X., Liu, R., and Zhong, G. (2019, January 8–10). A framework of on-site construction safety management using computer vision and real-time location system. Proceedings of the International Conference on Smart Infrastructure and Construction 2019 (ICSIC) Driving Data-Informed Decision-Making, Cambridge, UK.

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