Fabric Defect Detection with Deep Learning and False Negative Reduction

Quality control is an area of utmost importance for fabric production companies. By not detecting the defects present in the fabrics, companies are at risk of losing money and reputation with a damaged product. In a traditional system, an inspection accuracy of 60-75% is observed. In order to reduce...

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Bibliographic Details
Main Author: Almeida, Tomás (author)
Other Authors: Moutinho, Filipe (author), Matos-Carvalho, João Pedro (author)
Format: article
Language:eng
Published: 2021
Subjects:
CNN
Companies
Computational modeling
Deep Learning
Fabric Defect Detection
Fabrics
False Negative Reduction
Inspection
Production
Visualization
Wavelet transforms
Computer Science(all)
Materials Science(all)
Engineering(all)
Online Access:http://hdl.handle.net/10362/125605
Country:Portugal
Oai:oai:run.unl.pt:10362/125605

Internet

http://hdl.handle.net/10362/125605

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