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Automatic detection and classification of manufacturing defects in metal boxes using deep neural networks
This paper develops a new machine vision framework for efficient detection and classification of manufacturing defects in metal boxes. Previous techniques, which are based on either visual inspection or on hand-crafted features, are both inaccurate and time consuming. In this paper, we show that by...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6226149/ https://www.ncbi.nlm.nih.gov/pubmed/30412635 http://dx.doi.org/10.1371/journal.pone.0203192 |