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

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 detecti...

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Veröffentlicht in:	Journal of Applied Engineering Sciences Jg. 15; H. 1; S. 135 - 144
Hauptverfasser:	Mohy, Amr A., Bassioni, Hesham A., Elgendi, Elbadr O., Hassan, Tarek M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Timișoara Sciendo 01.05.2025 De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Schlagworte:	construction safety management deep learning features identification questionnaire Survey real-time monitoring safety monitoring
ISSN:	2284-7197, 2247-3769, 2284-7197
Online-Zugang:	Volltext
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