@InProceedings{RochaMeneOliv:2016:DeAuMi,
author = "Rocha, Cleandro de Souza and Menezes, Mathias Afonso Guedes de and
Oliveira, Felipe Gomes de",
affiliation = "{Federal University of Amazoas} and {Federal University of
Amazonas} and {Federal University of Amazonas}",
title = "Detec{\c{c}}{\~a}o Autom{\'a}tica de Microcomponentes SMT
Ausentes em Placas de Circuito Impresso",
booktitle = "Proceedings...",
year = "2016",
editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and
Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson
A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti,
David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa,
Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and
Santos, Jefersson dos and Schwartz, William Robson and Thomaz,
Carlos E.",
organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "Vis{\~a}o de M{\'a}quina, Aprendizado de M{\'a}quina,
Inspe{\c{c}}{\~a}o Industrial, Controle de Qualidade.",
abstract = "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 the
combination of Machine Vision and Machine Learning 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, obtaining 97.25% of hit rate.",
conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
conference-year = "4-7 Oct. 2016",
language = "pt",
ibi = "8JMKD3MGPAW/3MCEPSH",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3MCEPSH",
targetfile = "Sibgrapi2016_CameraReady.pdf",
urlaccessdate = "2024, Apr. 29"
}