Brain‐regulated learning for classifying on‐site hazards with small datasets
Abstract Machine vision technologies have the potential to revolutionize hazard inspection,
but training machine learning models requires large labeled datasets and is susceptible to …
but training machine learning models requires large labeled datasets and is susceptible to …
Graph-based linguistic and visual information integration for on-site occupational hazards identification
S Chen, K Demachi, F Dong - Automation in Construction, 2022 - Elsevier
Construction sites are hazardous with various potential hazards that can occur at any time.
The combination of different factors always causes the construction fatalities, and the …
The combination of different factors always causes the construction fatalities, and the …
Computer vision applications in construction safety assurance
Advancements in the development of deep learning and computer vision-based approaches
have the potential to provide managers and engineers with the ability to improve the safety …
have the potential to provide managers and engineers with the ability to improve the safety …
[HTML][HTML] Multi-Task Intelligent Monitoring of Construction Safety Based on Computer Vision
L Liu, Z Guo, Z Liu, Y Zhang, R Cai, X Hu, R Yang… - Buildings, 2024 - mdpi.com
Effective safety management is vital for ensuring construction safety. Traditional safety
inspections in construction heavily rely on manual labor, which is both time-consuming and …
inspections in construction heavily rely on manual labor, which is both time-consuming and …
Multioutput Image Classification to Support Postearthquake Reconnaissance
After hazard events, large numbers of images are collected by reconnaissance teams to
document the post-event state of structures, and to assess their performance and improve …
document the post-event state of structures, and to assess their performance and improve …
Crowdsourced reliable labeling of safety-rule violations on images of complex construction scenes for advanced vision-based workplace safety
Construction workplace hazard detection requires engineers to analyze scenes manually
against many safety rules, which is time-consuming, labor-intensive, and error-prone …
against many safety rules, which is time-consuming, labor-intensive, and error-prone …
Attention-guided analysis of infrastructure damage with semi-supervised deep learning
Routine visual inspection is essential to maintain adequate safety and serviceability of civil
infrastructures. Computer vision and machine learning based software techniques are …
infrastructures. Computer vision and machine learning based software techniques are …
Multi-class classification of construction hazards via cognitive states assessment using wearable EEG
Improving workers' safety and health is one of the most critical issues in the construction
industry. Research attempts have been made to better identify construction hazards on a …
industry. Research attempts have been made to better identify construction hazards on a …
[HTML][HTML] Construction site hazards identification using deep learning and computer vision
Workers on construction sites face numerous health and safety risks. Authorities have made
numerous attempts to enhance safety management; yet incidents continue to occur …
numerous attempts to enhance safety management; yet incidents continue to occur …
Game engine-driven synthetic data generation for computer vision-based safety monitoring of construction workers
Computer vision (CV)-based safety monitoring has been widely applied at construction sites.
However, this method requires large, diverse, and accurately labeled training data, which is …
However, this method requires large, diverse, and accurately labeled training data, which is …