Automated defect inspection system for metal surfaces based on deep learning and data augmentation
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Manufacturing Systems"
DOI: 10.1016/j.jmsy.2020.03.009
Abstract: Abstract Recent efforts to create a smart factory have inspired research that analyzes process data collected from Internet of Things (IOT) sensors, to predict product quality in real time. This requires an automatic defect inspection… read more here.
Keywords: metal; inspection system; defect inspection; performance ... See more keywords
On the Application of Automated Machine Vision for Leather Defect Inspection and Grading: A Survey
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2957427
Abstract: Reliably and effectively detecting and classifying leather surface defects is of great importance to tanneries and industries that use leather as a major raw material such as leather footwear and handbag manufacturers. This paper presents… read more here.
Keywords: inspection; machine; defect inspection; leather defect ... See more keywords
Depth Repeated-Enhancement RGB Network for Rail Surface Defect Inspection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3211199
Abstract: Surface defect inspection of railways is important to ensure safe transportation. However, challenging conditions, such as uneven illumination and similar foreground and background, hinder defect inspection. With the development of deep learning and the wide… read more here.
Keywords: depth; rgb; defect inspection; surface defect ... See more keywords
Data-Defect Inspection With Kernel-Neighbor-Density-Change Outlier Factor
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2016.2603420
Abstract: Data-defect would affect the data quality and the analysis results of data mining. This paper presents a data-defect inspection method with kernel-neighbor-density-change outlier factor (KNDCOF). The definition of kernel neighbor density is proposed to represent… read more here.
Keywords: defect inspection; data defect; outlier factor; density ... See more keywords
Mask2Defect: A Prior Knowledge-Based Data Augmentation Method for Metal Surface Defect Inspection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3126098
Abstract: For metal surface defect inspection, deep-learning-based methods have largely improved the inspection accuracy. However, insufficient data and the diversity of defects usually pose challenges for these methods. To solve these problems, traditional data augmentation methods… read more here.
Keywords: prior knowledge; defect; data augmentation; defect inspection ... See more keywords
A CNN-Based Defect Inspection Method for Catenary Split Pins in High-Speed Railway
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2018.2871353
Abstract: Split pins (SPs) play an important role in fixing joint components on catenary support devices (CSDs) of high-speed railway. The occurrence of loose and missing defects of SPs could make the structure of CSDs unstable.… read more here.
Keywords: speed; defect inspection; speed railway; split pins ... See more keywords
A Multiscale Convolutional Registration Network for Defect Inspection on Periodic Lace Surfaces
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3150581
Abstract: Defect inspection on lace products has always been a challenging task. The complexity and fragility of lace cloths increase the difficulty in distinguishing defects from normal textures. It is also extremely difficult to collect enough… read more here.
Keywords: lace; lace surfaces; periodic lace; defect inspection ... See more keywords
A CAM-Based Weakly Supervised Method for Surface Defect Inspection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3168895
Abstract: Product surface defect detection is vital to ensure the quality, efficiency, and reliability of industrial production. Deep-learning-based product surface defect inspection algorithms have been gradually used because of their higher detection accuracy and better generalization… read more here.
Keywords: cam; surface defect; defect inspection; weakly supervised ... See more keywords
An End-to-End Framework for Shipping Container Corrosion Defect Inspection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3204091
Abstract: The worldwide transportation industry relies heavily on shipping containers. Containerization has made it easier to transfer goods all over the world by guaranteeing cargo safety while in transit. To ensure the safety of goods during… read more here.
Keywords: framework; corrosion defect; defect inspection; end ... See more keywords
Inspecting Decorative Ceramic Defects by Fusing Convolutional Neural Network and Image Recognition
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/3983919
Abstract: The intelligent inspection of ceramic decorative defects is one of the hot research at present. This work aims to improve the defect inspection automation of finished decorative ceramic workpieces. First, it introduces the multi-target detection… read more here.
Keywords: network; decorative ceramic; model; defect inspection ... See more keywords
An Efficient YOLO Algorithm with an Attention Mechanism for Vision-Based Defect Inspection Deployed on FPGA
Sign Up to like & getrecommendations! Published in 2022 at "Micromachines"
DOI: 10.3390/mi13071058
Abstract: Industry 4.0 features intelligent manufacturing. Among them, the vision-based defect inspection algorithm is remarkable for quality control in parts manufacturing. With the help of AI and machine learning, auto-adaptive instead of manual operation is achievable… read more here.
Keywords: attention mechanism; vision based; defect inspection; inspection ... See more keywords