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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Detalhes bibliográficos
Autor principal: Almeida, Tomás (author)
Outros Autores: Moutinho, Filipe (author), Matos-Carvalho, João Pedro (author)
Formato: article
Idioma:eng
Publicado em: 2021
Assuntos:
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)
Texto completo:http://hdl.handle.net/10362/125605
País:Portugal
Oai:oai:run.unl.pt:10362/125605

Texto Completo

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

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