PCB Soldering Defect Inspection Using Multitask Learning under Low Data Regimes

To increase the reliability of the printed circuit board (PCB) manufacturing process, automated optical inspection is often employed for soldering defect detection. However, traditional approaches built on handcrafted features, predefined rules, or thresholds are often susceptible to the variation o...

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Detalhes bibliográficos

Principais autores:	Sik-Ho Tsang, Zhaoqing Suo, Tom Tak-Lam Chan, Huu-Thanh Nguyen, Daniel Pak-Kong Lun
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2023-12-01
coleção:	Advanced Intelligent Systems
Assuntos:	automated optical inspection deep neural networks multitask learning printed circuit boards soldering defect detection
Acesso em linha:	https://doi.org/10.1002/aisy.202300364
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