Computer vision applications in construction: Current state, opportunities & challenges
Thousands of images and videos are collected from construction projects during
construction. These contain valuable data that, if harnessed efficiently, can help automate or …
construction. These contain valuable data that, if harnessed efficiently, can help automate or …
Computer vision techniques in construction: a critical review
Computer vision has been gaining interest in a wide range of research areas in recent
years, from medical to industrial robotics. The architecture, engineering and construction …
years, from medical to industrial robotics. The architecture, engineering and construction …
Deep learning for site safety: Real-time detection of personal protective equipment
The leading causes of construction fatalities include traumatic brain injuries (resulted from
fall and electrocution) and collisions (resulted from struck by objects). As a preventive step …
fall and electrocution) and collisions (resulted from struck by objects). As a preventive step …
Construction 4.0
With the pervasive use of Building Information Modelling (BIM), lean principles, digital
technologies, and offsite construction, the industry is at the cusp of this transformation. The …
technologies, and offsite construction, the industry is at the cusp of this transformation. The …
Detecting non-hardhat-use by a deep learning method from far-field surveillance videos
Hardhats are an important safety measure used to protect construction workers from
accidents. However, accidents caused in ignorance of wearing hardhats still occur. In order …
accidents. However, accidents caused in ignorance of wearing hardhats still occur. In order …
Computer vision for behaviour-based safety in construction: A review and future directions
W Fang, PED Love, H Luo, L Ding - Advanced Engineering Informatics, 2020 - Elsevier
The process of identifying and bringing to the fore people's unsafe behaviour is a core
function of implementing a behaviour-based safety (BBS) program in construction. This can …
function of implementing a behaviour-based safety (BBS) program in construction. This can …
A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory
L Ding, W Fang, H Luo, PED Love, B Zhong… - Automation in …, 2018 - Elsevier
Computer vision and pattern recognition approaches have been applied to determine
unsafe behaviors on construction sites. Such approaches have been reliant on the …
unsafe behaviors on construction sites. Such approaches have been reliant on the …
Falls from heights: A computer vision-based approach for safety harness detection
W Fang, L Ding, H Luo, PED Love - Automation in construction, 2018 - Elsevier
Falls from heights (FFH) are major contributors of injuries and deaths in construction. Yet,
despite workers being made aware of the dangers associated with not wearing a safety …
despite workers being made aware of the dangers associated with not wearing a safety …
[HTML][HTML] Fast personal protective equipment detection for real construction sites using deep learning approaches
The existing deep learning-based Personal Protective Equipment (PPE) detectors can only
detect limited types of PPE and their performance needs to be improved, particularly for their …
detect limited types of PPE and their performance needs to be improved, particularly for their …
Applications of pose estimation in human health and performance across the lifespan
The emergence of pose estimation algorithms represents a potential paradigm shift in the
study and assessment of human movement. Human pose estimation algorithms leverage …
study and assessment of human movement. Human pose estimation algorithms leverage …