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 …

Recent years have seen growing interests in developing and applying computer vision
technologies to solve safety problems in the construction industry. Despite the technological …

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 …

Detecting the presence of workers, plant, equipment, and materials (ie objects) on sites to
improve safety and productivity has formed an integral part of computer vision-based …

Deep learning object detection algorithms have proven their capacity to identify a variety of
objects from images and videos in near real-time speed. The construction industry can …

Equipment and workers are two important resources in the construction industry.
Performance monitoring of these resources would help project managers improve the …

Detecting and locating precast components to confirm and update components' status
information is the key to construction progress monitoring. There are several ways to collect …

Computer vision approaches have been widely used to automatically recognize the
activities of workers from videos. While considerable advancements have been made to …

Construction sites are inherently dynamic due to continuous resource changes. As
construction projects become bigger and more complex, this dynamism can lead to more …

This paper presents a new benchmark dataset for validating vision-based methods that
automatically identifies visually distinctive working activities of excavators and dump trucks …