Artificial intelligence covers a variety of methods and disciplines including vision, perception,
speech and dialogue, decision making and planning, problem solving, robotics and other …

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

Tunnel construction sites pose a significant safety risk to workers due to the low-light
conditions that can affect visibility and lead to accidents. Therefore, identifying personal …

Previous studies on vision-based classifiers often overlooked the need for detecting small-
sized construction tools. Considering the substantial variations in these tools' size and …

You only look once (YOLO) is a state-of-the-art object detection model which has a novel
architecture that balances model complexity with the inference time. Among YOLO versions …

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

In response to the challenges faced by existing safety helmet detection algorithms when
applied to complex construction site scenarios, such as poor accuracy, large number of …

Workplace accidents due to personal protective equipment (PPE) non-compliance raise
serious safety concerns and lead to legal liabilities, financial penalties, and reputational …

Timely and accurately detecting personal protective equipment (PPE) usage among workers
is essential for substation safety management. However, traditional algorithms encounter …

Prefabricated prefinished volumetric construction (PPVC) is a relatively new technique that
has recently gained popularity for its ability to improve flexibility in scheduling and resource …