Image-Based Detection of Modifications in Assembled PCBs with Deep Convolutional Autoencoders

In this paper, we introduce a one-class learning approach for detecting modifications in assembled printed circuit boards (PCBs) based on photographs taken without tight control over perspective and illumination conditions. Anomaly detection and segmentation are essential for several applications, w...

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Detalles Bibliográficos
Autores principales: Candido de Oliveira, Diulhio, Nassu, Bogdan Tomoyuki, Wehrmeister, Marco Aurelio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921794/
https://www.ncbi.nlm.nih.gov/pubmed/36772392
http://dx.doi.org/10.3390/s23031353

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921794/
https://www.ncbi.nlm.nih.gov/pubmed/36772392
http://dx.doi.org/10.3390/s23031353

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