[HTML][HTML] Proximal sensing for geometric characterization of vines: A review of the latest advances

H Moreno, D Andújar - Computers and Electronics in Agriculture, 2023 - Elsevier
Several variables, including a rising human population, varying weather patterns in the
context of ongoing climate change, and the rapid worldwide spread of epidemics, all …

Research and prospect of welding monitoring technology based on machine vision

X Fan, X Gao, G Liu, N Ma, Y Zhang - The International Journal of …, 2021 - Springer
Welding monitoring technology based on machine vision has been widely researched in
academic and industry, especially in the background of Industry 4.0, in that it can contribute …

Weld defect detection from imbalanced radiographic images based on contrast enhancement conditional generative adversarial network and transfer learning

R Guo, H Liu, G **e, Y Zhang - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
When a sensor data-based detection method is used to detect the potential defects of
industrial products, the data are normally imbalanced. This problem affects improvement of …

Advances techniques of the structured light sensing in intelligent welding robots: a review

L Yang, Y Liu, J Peng - The International Journal of Advanced …, 2020 - Springer
With the rapid development of artificial intelligence and intelligent manufacturing, the
traditional teaching-playback mode and the off-line programming (OLP) mode cannot meet …

Recent progress of sensing and machine learning technologies for process monitoring and defects detection in wire arc additive manufacturing

Y Guo, Y Zhang, Z Pan, W Zhou - Journal of Manufacturing Processes, 2024 - Elsevier
Abstract Wire Arc Additive Manufacturing possesses advantages of high deposition rate and
low cost compared with other metal additive manufacturing processes. However, potential …

Prediction of electron beam weld quality from weld bead surface using clustering and support vector regression

S Jaypuria, V Bondada, SK Gupta, DK Pratihar… - Expert Systems with …, 2023 - Elsevier
Destructive manual experiments are primarily used for quality assessment of electron beam
welded components, which consume the resources and time significantly. Vision-based and …

[HTML][HTML] Computer vision system for welding inspection of liquefied petroleum gas pressure vessels based on combined digital image processing and deep learning …

YJ Cruz, M Rivas, R Quiza, G Beruvides, RE Haber - Sensors, 2020 - mdpi.com
One of the most important operations during the manufacturing process of a pressure vessel
is welding. The result of this operation has a great impact on the vessel integrity; thus …

Deep convolutional neural network for weld defect classification in radiographic images

D Palma-Ramírez, BD Ross-Veitía, P Font-Ariosa… - Heliyon, 2024 - cell.com
The quality of welds is critical to the safety of structures in construction, so early detection of
irregularities is crucial. Advances in machine vision inspection technologies, such as deep …

Feature extraction of laser welding pool image and application in welding quality identification

Y Gao, P Zhong, X Tang, H Hu, P Xu - IEEE access, 2021 - ieeexplore.ieee.org
Most of the existing laser welding quality identification methods are post-weld identification
or low-speed identification (Welding speed below 120 m/min). Efficiently online monitoring …

Surface defect detection of aluminum alloy welds with 3D depth image and 2D gray image

Z Yan, B Shi, L Sun, J **ao - The International Journal of Advanced …, 2020 - Springer
Towards the trend and demand of automatic welding inspection in industry, a composite
vision system enabling simultaneous 3D-depth and 2D-gray imaging of the bead surface is …