Point cloud is an important data format for expressing 3D scenes. With the development of
digitalization and intelligence in welding, the application of point cloud in welding is …

In this paper, we propose a machine learning approach for detecting superficial defects in
metal surfaces using point cloud data. We compare the performance of two popular deep …

The integration of precision measurement techniques using depth scanners with PLC
control provides new possibilities for increasing the efficiency and quality of measuring 3D …

Occluded target location is a challenge in three dimensions defect detection of complicated
devices, which easily leads to the wrong location. In this paper, we propose an occluded …

This study proposes an automatic and rapid method for measuring the dimensions of weld
seams in hull structures using 3D laser scanning technology. Traditional contact …

This work focuses on detecting defects in welding seams using the most advanced You Only
Look Once (YOLO) algorithms and transfer learning. To this end, the authors prepared a …

This paper presents an accurate and efficient method for determining the coordinates of
welding seams, addressing a significant challenge in the deployment of welding robots for …

In this paper, we propose a machine learning approach for detecting superficial defects in
metal surfaces using point cloud data. We compare the performance of two popular deep …

This paper proposes an algorithm for the identification of underwater objects with defects
caused by siltation, fouling, deformation, and geometric deviations from the reference model …