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Pattern recognition for automated wire bonding

Authors: Li, HF; Tsang, CM; Cheung, YS;

Pattern recognition for automated wire bonding

Abstract

The design and development of an integrated pattern-recognition system for transistor/LED wire bonding is presented. The system uses a M6809 microprocessor for computation. Three recognition algorithms are studied, and their relative performances are compared. The firts algorithm based on edge extraction and projection is relatively slow but is a candidate for hardware implementation at higher speeds. The second algorithm based on the Freeman tracer is the fastest, but not intelligent enough to identify connected regions. A new algorithm called the 'connected-tracer' algorithm is proposed, which solves the problem of simple connectiveness with a speed performance of around 0. 1 s using a 1 MHz processor. A variety of die samples of different sizes, scribing and attachment methods are tested. The results indicate that the system developed is both reliable and effective for fully automated transistor/LED wire bonding.

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China (People's Republic of)
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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