Risk factors and emerging technologies for preventing falls from heights at construction sites
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 …
annually, making them the leading cause of injuries and fatalities. Although there have been …
A Review of Computer Vision-Based Monitoring Approaches for Construction Workers' Work-Related Behaviors
J Li, Q Miao, Z Zou, H Gao, L Zhang, Z Li… - IEEE Access, 2024 - ieeexplore.ieee.org
Construction workers' behaviors directly affects labor productivity and their own safety,
thereby influencing project quality. Recognizing and monitoring the construction-related …
thereby influencing project quality. Recognizing and monitoring the construction-related …
Construction work-stage-based rule compliance monitoring framework using computer vision (CV) technology
Noncompliance with safety rules is a major cause of unsatisfactory performance in
construction safety worldwide. Although some research efforts have focused on using …
construction safety worldwide. Although some research efforts have focused on using …
[HTML][HTML] Exploring construction workers' attention and awareness in diverse virtual hazard scenarios to prevent struck-by accidents
Repetitive tasks in construction reduce workers' attentiveness of hazards on sites. This
decline in attentiveness can be influenced by their situation awareness level. However …
decline in attentiveness can be influenced by their situation awareness level. However …
Real-time monitoring unsafe behaviors of portable multi-position ladder worker using deep learning based on vision data
Introduction: Fatal fall from height accidents, especially on construction sites, persist,
underscoring the importance of monitoring and managing worker behaviors to enhance …
underscoring the importance of monitoring and managing worker behaviors to enhance …
Secure Your Steps: A Class-Based Ensemble Framework for Real-Time Fall Detection Using Deep Neural Networks
Falls represent a significant public health concern, particularly concerning vulnerable
populations such as older adults. Accurate detection and classification of falls are critical for …
populations such as older adults. Accurate detection and classification of falls are critical for …
Computer vision-based hazard identification of construction site using visual relationship detection and ontology
Y Li, H Wei, Z Han, N Jiang, W Wang, J Huang - Buildings, 2022 - mdpi.com
Onsite systematic monitoring benefits hazard prevention immensely. Hazard identification is
usually limited due to the semantic gap. Previous studies that integrate computer vision and …
usually limited due to the semantic gap. Previous studies that integrate computer vision and …
Rotation error detection of gallium nitride (GaN) substrate in MBE utilizing ensemble learning
S Anjum, HY Lee, HK Noh - Crystal Growth & Design, 2023 - ACS Publications
A rotating substrate is essential for achieving high-quality and uniform growth of gallium
nitride (GaN) thin films in molecular beam epitaxy (MBE). By rotating the substrate during …
nitride (GaN) thin films in molecular beam epitaxy (MBE). By rotating the substrate during …
Human risky behaviour recognition during ladder climbing based on multi-modal feature fusion and adaptive graph convolutional network
W Zhu, D Shi, R Cheng, R Huang, T Hu… - Signal, Image and Video …, 2024 - Springer
Human falls during ladder climbing are typically instantaneous, making the timely and
accurate determination of security risks during ladder climbing a challenging engineering …
accurate determination of security risks during ladder climbing a challenging engineering …
Vision-Based Construction Safety Monitoring Utilizing Temporal Analysis to Reduce False Alarms
Construction safety requires real-time monitoring due to its hazardous nature. Existing vision-
based monitoring systems classify each frame to identify safe or unsafe scenes, often …
based monitoring systems classify each frame to identify safe or unsafe scenes, often …