Recent developments in computer vision and artificial intelligence aided intelligent robotic welding applications
The welding process, which is an indispensable part of the manufacturing industry, has
been in demand for years and continues to attract the attention of researchers. With the …
been in demand for years and continues to attract the attention of researchers. With the …
Ensemble-based deep learning model for welding defect detection and classification
V Vasan, NV Sridharan, RJ Balasundaram… - … Applications of Artificial …, 2024 - Elsevier
This study introduces an ensemble-based deep learning approach for monitoring and
detecting submerged arc weld defects in weld beads and adjacent zones during Non …
detecting submerged arc weld defects in weld beads and adjacent zones during Non …
Inline defective laser weld identification by processing thermal image sequences with machine and deep learning techniques
The non-destructive testing methods offer great benefit in detecting and classifying the weld
defects. Among these, infrared (IR) thermography stands out in the inspection …
defects. Among these, infrared (IR) thermography stands out in the inspection …
Prediction of Weld Current Using Deep Transfer Image Networks Based on Weld Signatures for Quality Control
The utilizing electrical resistivity tomography (ERT) in land surveying, one approach is using
trailers to locate fluid or underground utilities in large-scale subsurface constructions. It is …
trailers to locate fluid or underground utilities in large-scale subsurface constructions. It is …
Detection and classification of surface defects on hot-rolled steel using vision transformers
This study proposes a vision transformer to detect visual defects on steel surfaces. The
proposed approach utilizes an open-source image dataset to classify steel surface …
proposed approach utilizes an open-source image dataset to classify steel surface …
Visual control of weld defects using computer vision system on FANUC robot
M Ivanov, A Ulanov, N Cherkasov - … Conference on Industrial …, 2022 - ieeexplore.ieee.org
The development of Industry 4.0 technology requires the automation of technological
processes. Weld quality inspections are carried out predominantly manually and can …
processes. Weld quality inspections are carried out predominantly manually and can …
LoHi-WELD: a novel industrial dataset for weld defect detection and classification, a deep learning study, and future perspectives
The automated inspection of weld beads is of great importance for many industrial
processes. Failures may cause a loss of mechanical resistance of the weld bead and …
processes. Failures may cause a loss of mechanical resistance of the weld bead and …
Algorithms for Vision-Based Quality Control of Circularly Symmetric Components
Quality inspection in the industrial production field is experiencing a strong technological
development that benefits from the combination of vision-based techniques with artificial …
development that benefits from the combination of vision-based techniques with artificial …
Automatic detection and classification of laser welding defects
YC Kan, H Kalkan - 2021 Innovations in Intelligent Systems …, 2021 - ieeexplore.ieee.org
Laser welding is one of the most common methods used in joining metal materials.
However, welding errors are usually encountered during the welding process due to …
However, welding errors are usually encountered during the welding process due to …
Detection of Various Types of Metal Surface Defects Based on Image Processing.
P Xue, C Jiang, H Pang - Traitement du Signal, 2021 - search.ebscohost.com
Abstract Machine vision is a promising technique to promote intelligent production. It strikes
a balance between product quality and production efficiency. However, the existing metal …
a balance between product quality and production efficiency. However, the existing metal …