Structural health monitoring at local and global levels using computer vision technologies
has gained much attention in the structural health monitoring community in research and …

Pipelines are widely used for the transportation of hydrocarbon fluids over millions of miles
all over the world. The structures of the pipelines are designed to withstand several …

An autonomous unmanned aerial vehicle (UAV) system integrated with a modified faster
region-based convolutional neural network (Faster R-CNN) is proposed to identify various …

Loosening of threaded fasteners can cause preload decline, induce bolt fatigue fracture, and
severely compromise the reliability of mechanical products. Loosening detection is an …

Bolt defect inspection is an important work in transmission line inspection. Due to the small
size of bolts in the transmission line inspection images, existing algorithms are difficult to …

Bolt loosening is a critical factor that triggers collapse of wind turbine tower structures, and a
fast and accurate bolt loosening detection is of significant importance. This paper proposes …

Crack assessment of reinforced concrete structures using stereo cameras is a potential way
for increasing the efficiency and safety of infrastructure maintenance routines. However …

This study presents a novel autonomous vision-based bolt-looseness detection method for
splice bolted connections. The method is sequentially designed with a Faster regional …

Bolted joints are fundamental building blocks and have been widely used to hold multiple
structural components together, while their looseness may lead to costly disasters in …

Computer vision-based structural deformation monitoring techniques were studied in a large
number of applications in the field of structural health monitoring (SHM). Numerous …