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Real-Time Construction Safety Monitoring with Object Detection Algorithms: Features’ Identification and Implementation Challenges Cover

Real-Time Construction Safety Monitoring with Object Detection Algorithms: Features’ Identification and Implementation Challenges

Open Access
|May 2025

Abstract

This research bridges this gap by identifying the essential features and functionalities construction professionals prioritize for effective object detection in real-time safety monitoring. By understanding these needs, this study guides the development of more practical and impactful object detection models, ultimately leading to enhanced safety monitoring and management. Through a questionnaire survey targeting 240 construction professionals, this study gathered insights into current safety management practices, practical considerations for technology implementation, and most importantly, the preferred features for object detection systems. The survey revealed an industry trend towards proactive safety management approaches, with a particular emphasis on features that enable real-time worker tracking and work environment monitoring. While acknowledging the potential benefits of object detection technology, professionals also highlighted concerns regarding data privacy, integration with existing systems, and implementation costs. This study addresses these concerns by emphasizing the need for user-focused, affordable, and seamlessly integrated object detection applications.

Language: English
Page range: 135 - 144
Submitted on: Jan 13, 2025
Accepted on: Feb 3, 2025
Published on: May 19, 2025
Published by: University of Oradea, Civil Engineering and Architecture Faculty
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2025 Amr A. Mohy, Hesham A. Bassioni, Elbadr O. Elgendi, Tarek M. Hassan, published by University of Oradea, Civil Engineering and Architecture Faculty
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.