Deep learning-based object detection (DLOD) methods are crucial in assisting dynamic
construction site management (DCSM) but have not been systematically studied. This paper …

Vision-based on-site detection is a crucial component of the Digital Works Supervision
System (DWSS). However, accurate detecting cross-scale objects in complicated …

Accurate real-time object detection is vital across numerous industrial applications, from
safety monitoring to quality control. Traditional approaches, however, are hindered by …

Compared to generalized object detection, research on small object detection has been
slow, mainly due to the need to learn appropriate features from limited information about …

Site monitoring is indispensable for modern construction management. Contact approaches,
represented by wearable devices, have problems such as privacy leaks and hindering …

In the inherently hazardous construction industry, where injuries are frequent, the unsafe
operation of heavy construction machinery significantly contributes to the injury and accident …

Effective safety management is vital for ensuring construction safety. Traditional safety
inspections in construction heavily rely on manual labor, which is both time-consuming and …

Work involving excavators carries a high risk of accidents that can result in fatalities, making
Occupational Safety and Health (OSH) critically important. Most excavator accidents are …

In the field of computer vision, the ability to accurately detect and recognise animal features
in various environments is an area of growing interest and application. This study presents …

Accidents and injuries are a type of waste since they incur extra costs and time losses, which
significantly impact social and job site culture. In addition, accidents introduce variability and …