Using Deep Learning to Detect Defects in Manufacturing: A Comprehensive Survey and Current Challenges

The detection of product defects is essential in quality control in manufacturing. This study surveys stateoftheart deep-learning methods in defect detection. First, we classify the defects of products, such as electronic components, pipes, welded parts, and textile materials, into categories. Secon...

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Detalles Bibliográficos
Autores principales: Yang, Jing, Li, Shaobo, Wang, Zheng, Dong, Hao, Wang, Jun, Tang, Shihao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766692/
https://www.ncbi.nlm.nih.gov/pubmed/33339413
http://dx.doi.org/10.3390/ma13245755

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766692/
https://www.ncbi.nlm.nih.gov/pubmed/33339413
http://dx.doi.org/10.3390/ma13245755

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