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Inspeção Visual de Placas de Circuito Integrado com Alta Densidade de Microcomponentes

Felipe Gomes de OliveiraJosé Luiz de Souza Pio

This work presents a visual inspection approach to detect absence/presence of surface mount components (SMC) on printed circuit boards (PCB). We propose a methodology based on Bayesian Statistics to detect component absence, with more quality and precision, using noised digital images acquired directly from PCB industrial production line. The applicability of method was tested for automatic visual inspection in motherboards, where the demand of these components is high. The results obtained demonstrates the robustness of our methodology in images with high levels of gaussian and salt and pepper noise, where all tested cases of component absence are detected.

http://www.lbd.dcc.ufmg.br/colecoes/wvc/2008/0038.pdf

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