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Printed Circuit Board Defect Detection Using Deep Learning via A Skip-Connected Convolutional Autoencoder
As technology evolves, more components are integrated into printed circuit boards (PCBs) and the PCB layout increases. Because small defects on signal trace can cause significant damage to the system, PCB surface inspection is one of the most important quality control processes. Owing to the limitat...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347834/ https://www.ncbi.nlm.nih.gov/pubmed/34372203 http://dx.doi.org/10.3390/s21154968 |