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http://dx.doi.org/10.5302/J.ICROS.2013.13.9033

A Statistical Analysis Method for Image Processing Errors in the Position Alignment of BGA-type Semiconductor Packages  

Kim, Hak-Man (Department of Mechatronics Engineering, Korea University of Technology & Education)
Seong, Sang Man (Department of Mechatronics Engineering, Korea University of Technology & Education)
Kang, Kiho (Department of Mechatronics Engineering, Korea University of Technology & Education)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.19, no.11, 2013 , pp. 984-990 More about this Journal
Abstract
Pick and placement systems need high speeds and reliability for the position alignment process of semiconductor packages in picking up and placing them on placement trays. Image processing is usually adopted for position aligning where finding out the most suitable method is considered most important aspect of the process. This paper proposes a method for judging the performance of different image processing algorithms based on the PCI (Process Capability Index). The PCI is an index which represents the error distribution acquired from many experimental data. The bigger the index, the more reliable the results or the lower the deviation. Two compared and candidate methods are Hough Transform and PCA (Principal Component Analysis), both of which are very suitable for oblong or rectangular type packages such as BGA's. Comparing the two approaches through a CPI with enough experimental results leads to the conclusion that the PCA is much better than the Hough Transform in not only reliability, but also processing speed.
Keywords
pick & placement; position alignment; Hough transform; process capability index; principal component analysis;
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Times Cited By KSCI : 2  (Citation Analysis)
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