Risk factors and emerging technologies for preventing falls from heights at construction sites

M Khan, C Nnaji, MS Khan, A Ibrahim, D Lee… - Automation in …, 2023 - Elsevier
Falls at construction sites account for approximately 50% of all accidents reported in the US
annually, making them the leading cause of injuries and fatalities. Although there have been …

A review on challenges and solutions in the implementation of AI, IoT and blockchain in construction industry

VV Prabhakar, CSB Xavier, KM Abubeker - Materials Today: Proceedings, 2023 - Elsevier
The construction industry struggles to increase productivity, time management, working
effectiveness, and quality due to a lack of awareness of the use of new technologies that are …

Automated detection of construction work at heights and deployment of safety hooks using IMU with a barometer

H Choo, B Lee, H Kim, B Choi - Automation in Construction, 2023 - Elsevier
An automated system that identifies work at height and the fastening state of safety hooks
using wearable sensors was developed to prevent falls from height (FFH). This system …

Prioritization of risk mitigation strategies for contact with sharp object accidents using hybrid bow-tie approach

D Kuzucuoğlu, K Koc, G Kazar, OB Tokdemir - Safety science, 2023 - Elsevier
Occupational accidents are still a priority for the construction industry and safety
professionals. Appropriate and proactive risk management strategies for complex …

3D reconstruction of large-scale scaffolds with synthetic data generation and an upsampling adversarial network

J Kim, J Kim, Y Kim, H Kim - Automation in Construction, 2023 - Elsevier
Falls from scaffolds cause the majority of accidents and fatalities at construction sites. A
deep learning-based 3D reconstruction technology could provide a solution to prevent such …

[HTML][HTML] Exploring construction workers' attention and awareness in diverse virtual hazard scenarios to prevent struck-by accidents

R Hussain, SFA Zaidi, A Pedro, H Lee, C Park - Safety science, 2024 - Elsevier
Repetitive tasks in construction reduce workers' attentiveness of hazards on sites. This
decline in attentiveness can be influenced by their situation awareness level. However …

A human detection approach for intrusion in hazardous areas using 4D-BIM-Based spatial-temporal analysis and computer vision

SVT Tran, D Lee, QL Bao, T Yoo, M Khan, J Jo, C Park - Buildings, 2023 - mdpi.com
Detecting intrusion in hazardous areas is one of the priorities and duties of safety
enhancement. With the emergence of vision intelligence technology, hazardous-area …

Computer vision process development regarding worker's safety harness and hook to prevent fall accidents: focused on system scaffolds in South Korea

J Lim, DG Jung, C Park, DY Kim - Advances in Civil …, 2022 - Wiley Online Library
In South Korea, industrial accidents continue to increase in frequency, with construction
accidents accounting for more than a third of all industrial accidents. Specifically, by …

Prevention of falls from heights in construction using an iot system based on fuzzy markup language and JFML

MC Rey-Merchán, A López-Arquillos… - Applied Sciences, 2022 - mdpi.com
The main cause of fatal accidents in the construction sector are falls from height (FFH) and
the inappropriate use of a harness is commonly associated with these fatalities. Traditional …

[HTML][HTML] Using Eye-Tracking to Measure Worker Situation Awareness in Augmented Reality

S Wu, H Chen, L Hou, GK Zhang, CQ Li - Automation in Construction, 2024 - Elsevier
Augmented Reality (AR) technology has emerged as a promising tool for enhancing safety
in the construction industry by improving the Situation Awareness (SA) of onsite workers …