Deep-learning-based visual data analytics for smart construction management

A Pal, SH Hsieh - Automation in Construction, 2021 - Elsevier
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 …

Safety helmet detection using deep learning: Implementation and comparative study using YOLOv5, YOLOv6, and YOLOv7

NDT Yung, WK Wong, FH Juwono… - … Conference on Green …, 2022 - ieeexplore.ieee.org
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 …

SODA: A large-scale open site object detection dataset for deep learning in construction

R Duan, H Deng, M Tian, Y Deng, J Lin - Automation in Construction, 2022 - Elsevier
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 …

[HTML][HTML] Deep learning-based automatic safety helmet detection system for construction safety

A Hayat, F Morgado-Dias - Applied Sciences, 2022 - mdpi.com
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 …

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 …

Automatic detection of pedestrian crosswalk with faster r-cnn and yolov7

Ö Kaya, MY Çodur, E Mustafaraj - Buildings, 2023 - mdpi.com
Autonomous vehicles have gained popularity in recent years, but they are still not
compatible with other vulnerable components of the traffic system, including pedestrians …

[HTML][HTML] Personal protective equipment detection: A deep-learning-based sustainable approach

MIB Ahmed, L Saraireh, A Rahman, S Al-Qarawi… - Sustainability, 2023 - mdpi.com
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 …

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 …

[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 …

[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 …