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End-to-end deep learning framework for printed circuit board manufacturing defect classification
We report a complete deep-learning framework using a single-step object detection model in order to quickly and accurately detect and classify the types of manufacturing defects present on Printed Circuit Board (PCBs). We describe the complete model architecture and compare with the current state-of...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307836/ https://www.ncbi.nlm.nih.gov/pubmed/35869131 http://dx.doi.org/10.1038/s41598-022-16302-3 |