Convolutional neural networks: Computer vision-based workforce activity assessment in construction
Computer vision approaches have been widely used to automatically recognize the
activities of workers from videos. While considerable advancements have been made to …
activities of workers from videos. While considerable advancements have been made to …
A critical review of vision-based occupational health and safety monitoring of construction site workers
M Zhang, R Shi, Z Yang - Safety science, 2020 - Elsevier
Globally, the occupational health and safety (OHS) of construction workers has long been a
serious concern. To address this issue, there is an urgent need for an efficient means to …
serious concern. To address this issue, there is an urgent need for an efficient means to …
Deep-learning-based visual data analytics for smart construction management
Visual data captured at construction sites is a rich source of information for the day-to-day
operation of construction projects. The development of deep-learning-based methods has …
operation of construction projects. The development of deep-learning-based methods has …
Tag and IoT based safety hook monitoring for prevention of falls from height
Monitoring the unsafe behavior of construction workers at risky elevations is essential for
eliminating fall from height (FFH) accidents. This study aims to bridge the gap between …
eliminating fall from height (FFH) accidents. This study aims to bridge the gap between …
Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support …
Wind speed forecasting can effectively improve the safety and reliability of wind energy
generation system. In this study, a novel hybrid short-term wind speed forecasting model is …
generation system. In this study, a novel hybrid short-term wind speed forecasting model is …
Automated text classification of near-misses from safety reports: An improved deep learning approach
Examining past near-miss reports can provide us with information that can be used to learn
about how we can mitigate and control hazards that materialise on construction sites. Yet …
about how we can mitigate and control hazards that materialise on construction sites. Yet …
Transformer-based deep learning model and video dataset for unsafe action identification in construction projects
A large proportion of construction accidents are caused by unintentional and unsafe actions
and behaviors. It is of significant difficulties and ineffectiveness to monitor unsafe behaviors …
and behaviors. It is of significant difficulties and ineffectiveness to monitor unsafe behaviors …
End-to-end vision-based detection, tracking and activity analysis of earthmoving equipment filmed at ground level
D Roberts, M Golparvar-Fard - Automation in Construction, 2019 - Elsevier
This paper presents a new benchmark dataset for validating vision-based methods that
automatically identifies visually distinctive working activities of excavators and dump trucks …
automatically identifies visually distinctive working activities of excavators and dump trucks …
Sensor-based safety management
The construction industry has one of the most hazardous working environments worldwide,
which accounts for about 1 in every 5 occupational fatalities. The high rates of workplace …
which accounts for about 1 in every 5 occupational fatalities. The high rates of workplace …
Combining computer vision with semantic reasoning for on-site safety management in construction
Computer vision has been utilized to extract safety-related information from images with the
advancement of video monitoring systems and deep learning algorithms. However …
advancement of video monitoring systems and deep learning algorithms. However …