Investigation of Unsafe Construction Site Conditions Using Deep Learning Algorithms Using Unmanned Aerial Vehicles

The rapid adoption of Unmanned Aerial Vehicles (UAVs) in the construction industry has revolutionized safety, surveying, quality monitoring, and maintenance assessment. UAVs are increasingly used to prevent accidents caused by falls from heights or being struck by falling objects by ensuring workers...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 24; H. 20; S. 6737
Hauptverfasser:	Kumar, Sourav, Poyyamozhi, Mukilan, Murugesan, Balasubramanian, Rajamanickam, Narayanamoorthi, Alroobaea, Roobaea, Nureldeen, Waleed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 01.10.2024 MDPI
Schlagworte:	Accidents Algorithms automatic detection Automation Building Compliance Construction accidents & safety Construction industry Construction workers Data mining Data processing Drone aircraft Drones Efficiency image recognition object detection Occupational health and safety Occupational safety Personal protective equipment Privacy Quality control Quality management Safety equipment Safety management Safety standards Strikes Surveillance tensor flow Trends Unmanned Aerial Vehicle Unmanned aerial vehicles unsafe site conditions Weather Workers' compensation object detection automatic detection unsafe site conditions tensor flow image recognition Unmanned Aerial Vehicle
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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