A nondestructive automatic defect detection method with pixelwise segmentation
Defect detection is essential for the quality control and repair decision-making of various
products. Due to collisions, uneven stress, welding parameters and other factors, cracks …
products. Due to collisions, uneven stress, welding parameters and other factors, cracks …
LF-YOLO: A lighter and faster yolo for weld defect detection of X-ray image
X-ray image plays an important role in manufacturing industry for quality assurance,
because it can reflect the internal condition of weld region. However, the shape and scale of …
because it can reflect the internal condition of weld region. However, the shape and scale of …
An automatic deep segmentation network for pixel-level welding defect detection
Accurate welding defect location is of great significance to modern manufacturing, which
could be used for accurate quality evaluation and precise repairing decision-making basis of …
could be used for accurate quality evaluation and precise repairing decision-making basis of …
A pixel-level deep segmentation network for automatic defect detection
Defect detection is a very important link for much manufacturing and processing applications
which could be used for quality control and precise maintenance decision. However, faced …
which could be used for quality control and precise maintenance decision. However, faced …
[HTML][HTML] Computer Vision for Safety Management in the Steel Industry
The complex nature of the steel manufacturing environment, characterized by different types
of hazards from materials and large machinery, makes the need for objective and automated …
of hazards from materials and large machinery, makes the need for objective and automated …
Automatic detection of welding defects using faster R-CNN
In the shipbuilding industry, the non-destructive testing for welding quality inspection is
mainly used for the permanent storage of the testing results and the radio-graphic testing …
mainly used for the permanent storage of the testing results and the radio-graphic testing …
Implementation of machine learning algorithms for weld quality prediction and optimization in resistance spot welding
The manufacturing industry constantly aims to improve product quality while improving
production speed and lowering production costs. Resistance spot welding (RSW) is widely …
production speed and lowering production costs. Resistance spot welding (RSW) is widely …
Crack detection in paintings using convolutional neural networks
R Sizyakin, B Cornelis, L Meeus, H Dubois… - Ieee …, 2020 - ieeexplore.ieee.org
The accurate detection of cracks in paintings, which generally portray rich and varying
content, is a challenging task. Traditional crack detection methods are often lacking on …
content, is a challenging task. Traditional crack detection methods are often lacking on …
Automated visual inspection of fabric image using deep learning approach for defect detection
V Voronin, R Sizyakin, M Zhdanova… - … and Machine Vision …, 2021 - spiedigitallibrary.org
As a popular topic in automation, fabric defect detection is a necessary and essential step of
quality control in the textile manufacturing industry. The main challenge for automatically …
quality control in the textile manufacturing industry. The main challenge for automatically …
Optical image inspection of helical surface geometry of drill
PM Pivkin, VA Grechishnikov… - … and Applications IX, 2022 - spiedigitallibrary.org
In this paper, a new method for determining the curvature of the drill's rake surface is
developed. The new method is based on the identified functional relationships between the …
developed. The new method is based on the identified functional relationships between the …