[HTML][HTML] State of the art in defect detection based on machine vision
Z Ren, F Fang, N Yan, Y Wu - International Journal of Precision …, 2022 - Springer
Abstract Machine vision significantly improves the efficiency, quality, and reliability of defect
detection. In visual inspection, excellent optical illumination platforms and suitable image …
detection. In visual inspection, excellent optical illumination platforms and suitable image …
Recent advances in surface defect inspection of industrial products using deep learning techniques
X Zheng, S Zheng, Y Kong, J Chen - The International Journal of …, 2021 - Springer
Manual surface inspection methods performed by quality inspectors do not satisfy the
continuously increasing quality standards of industrial manufacturing processes. Machine …
continuously increasing quality standards of industrial manufacturing processes. Machine …
[HTML][HTML] A new lightweight deep neural network for surface scratch detection
This paper aims to develop a lightweight convolutional neural network, WearNet, to realise
automatic scratch detection for components in contact sliding such as those in metal forming …
automatic scratch detection for components in contact sliding such as those in metal forming …
A generic deep-learning-based approach for automated surface inspection
Automated surface inspection (ASI) is a challenging task in industry, as collecting training
dataset is usually costly and related methods are highly dataset-dependent. In this paper, a …
dataset is usually costly and related methods are highly dataset-dependent. In this paper, a …
A deep-learning-based approach for fast and robust steel surface defects classification
Automatic visual recognition of steel surface defects provides critical functionality to facilitate
quality control of steel strip production. In this paper, we present a compact yet effective …
quality control of steel strip production. In this paper, we present a compact yet effective …
Detecting cyber-physical attacks in CyberManufacturing systems with machine learning methods
CyberManufacturing system (CMS) is a vision for future manufacturing systems. The concept
delineates a vision of advanced manufacturing system integrated with technologies such as …
delineates a vision of advanced manufacturing system integrated with technologies such as …
Image-based surface defect detection using deep learning: A review
Automatically detecting surface defects from images is an essential capability in
manufacturing applications. Traditional image processing techniques are useful in solving a …
manufacturing applications. Traditional image processing techniques are useful in solving a …
[HTML][HTML] Review of vision-based steel surface inspection systems
N Neogi, DK Mohanta, PK Dutta - EURASIP Journal on Image and Video …, 2014 - Springer
Steel is the material of choice for a large number and very diverse industrial applications.
Surface qualities along with other properties are the most important quality parameters …
Surface qualities along with other properties are the most important quality parameters …
Automated surface defect detection in metals: A comparative review of object detection and semantic segmentation using deep learning
R Usamentiaga, DG Lema… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Automated surface defect detection is a challenging problem that has attracted major
attention for decades. Traditional methods were designed using a pipeline of carefully …
attention for decades. Traditional methods were designed using a pipeline of carefully …
Infrared thermal imaging-based crack detection using deep learning
Vision-based approaches are widely used in steel crack detection. After processing the
images taken by the camera, the superficial defects can be detected. Due to the common …
images taken by the camera, the superficial defects can be detected. Due to the common …