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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 …
Safety helmet detection using deep learning: Implementation and comparative study using YOLOv5, YOLOv6, and YOLOv7
The safety of construction site personnel is highly dependent on the adherence of personal
protective equipment (PPE) wearing. Safety helmet monitoring has become a popular topic …
protective equipment (PPE) wearing. Safety helmet monitoring has become a popular topic …
SODA: A large-scale open site object detection dataset for deep learning in construction
Comprehensive image datasets can benefit the construction industry in terms of serving as
the basis for generating deep-learning-based object detection models and testing the …
the basis for generating deep-learning-based object detection models and testing the …
[HTML][HTML] Deep learning-based automatic safety helmet detection system for construction safety
Worker safety at construction sites is a growing concern for many construction industries.
Wearing safety helmets can reduce injuries to workers at construction sites, but due to …
Wearing safety helmets can reduce injuries to workers at construction sites, but due to …
Deep learning-based workers safety helmet wearing detection on construction sites using multi-scale features
K Han, X Zeng - Ieee Access, 2021 - ieeexplore.ieee.org
Wearing safety helmets can effectively protect workers safety on construction sites. However,
workers often take off the helmets because of weak security-conscious and discomfort, then …
workers often take off the helmets because of weak security-conscious and discomfort, then …
Automatic detection of pedestrian crosswalk with faster r-cnn and yolov7
Autonomous vehicles have gained popularity in recent years, but they are still not
compatible with other vulnerable components of the traffic system, including pedestrians …
compatible with other vulnerable components of the traffic system, including pedestrians …
[HTML][HTML] Personal protective equipment detection: A deep-learning-based sustainable approach
Personal protective equipment (PPE) can increase the safety of the worker for sure by
reducing the probability and severity of injury or fatal incidents at construction, chemical, and …
reducing the probability and severity of injury or fatal incidents at construction, chemical, and …
Verification and performance comparison of CNN-based algorithms for two-step helmet-wearing detection
JY Lee, WS Choi, SH Choi - Expert Systems with Applications, 2023 - Elsevier
Workplace accidents are on the rise, and the construction and manufacturing sectors
account for more than half of all fatalities. In the construction and industrial sectors, most fatal …
account for more than half of all fatalities. In the construction and industrial sectors, most fatal …
[HTML][HTML] Improved YOLOv3-based bridge surface defect detection by combining high-and low-resolution feature images
S Teng, Z Liu, X Li - Buildings, 2022 - mdpi.com
Automatic bridge surface defect detection is of wide concern; it can save human resources
and improve work efficiency. The object detection algorithm, especially the You Only Look …
and improve work efficiency. The object detection algorithm, especially the You Only Look …
[HTML][HTML] Application of YOLO v5 and v8 for recognition of safety risk factors at construction sites
K Kim, K Kim, S Jeong - Sustainability, 2023 - mdpi.com
The construction industry has high accident and fatality rates owing to time and cost
pressures as well as hazardous working environments caused by heavy construction …
pressures as well as hazardous working environments caused by heavy construction …