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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |