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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Jungsuk, Ko, Jungbeom, Choi, Hojong, Kim, Hyunchul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347834/
https://www.ncbi.nlm.nih.gov/pubmed/34372203
http://dx.doi.org/10.3390/s21154968

Ejemplares similares