Real-time monitoring of work-at-height safety hazards in construction sites using drones and deep learning

Introduction: The construction field is considered one of the most dangerous industries. Accidents and fatalities take place on a daily basis in construction projects. Globally, different levels of government have implemented strict rules and regulations to protect workers on job sites. However, des...

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Veröffentlicht in:	Journal of safety research 2022-12, Vol.83, p.364-370
Hauptverfasser:	Shanti, Mohammad Z., Cho, Chung-Suk, de Soto, Borja Garcia, Byon, Young-Ji, Yeun, Chan Yeob, Kim, Tae Yeon
Format:	Artikel
Sprache:	eng
Schlagworte:	Deep Learning Fall from heights Humans Law Enforcement Machine learning Personal Fall Arrest System (PFAS) Real-time detection Unmanned Aerial Vehicles (UAV) Workplace
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