An automated IC chip marking inspection system for surface mounted devices on taping machines
NOPR - NISCAIR Online Periodicals Repository
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Title |
An automated IC chip marking inspection system for surface mounted devices on taping machines
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Creator |
Chen, Shih-Hung
Liao, Te-Tan |
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Subject |
Learning vector quantization
On-line inspection Surface mounted device |
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Description |
361-366
This study presents a new automated system for inspecting markings on surface mounted devices (SMDs) prior to packaging. In proposed design, marking region is identified using a normalized cross-correlation template-matching scheme. A multiresolution pyramid image processing approach is used to enhance speed of search process. Target image is filtered using a hybrid digital logic filter (DLC) / mean and standard deviation gray scale (MSDGS) algorithm for noise filtering. Individual characters in marking are segmented and fed to a neural network for automatic recognition. DLC / MSDGS filtering scheme is found more straightforward and far more robust toward a noise filtering than conventional image processing schemes. System achieves a recognition rate of 99.14% with identifying each IC chip marking within 0.05 sec. System provides an ideal solution for real-time inspection of IC markings in high-throughput SMD packaging applications. |
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Date |
2009-04-13T04:01:38Z
2009-04-13T04:01:38Z 2009-05 |
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Type |
Article
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Identifier |
0022-4456
http://hdl.handle.net/123456789/3786 |
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Language |
en_US
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Publisher |
CSIR
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Source |
JSIR Vol.68(05) [May 2009]
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