Visual inspection in industrial manufacturing

Visual quality control is a demanding task of increasing importance in industrial manufacturing. Both speed and flexibility are of paramount importance for viable and competitive inspection systems. We have developed a dedicated neural network architecture for anomaly detection that can easily be tr...

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Bibliographic Details
Published in:IEEE MICRO 1995-06, Vol.15 (3), p.26-31
Main Authors: Konig, A., Windirsch, P., Gasteier, M., Glesner, M.
Format: Article
Language:English
Subjects:
Computer memory
Electrical equipment industry
Fault detection
Gas industry
Inspection
Manufacturing
Manufacturing industries
Neural networks
Neurons
Pixel
Prototypes
Quality control
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Summary:Visual quality control is a demanding task of increasing importance in industrial manufacturing. Both speed and flexibility are of paramount importance for viable and competitive inspection systems. We have developed a dedicated neural network architecture for anomaly detection that can easily be trained by a single presentation of examples and is amenable to massively parallel VLSI implementation. We focus here on our ASIC and prototype system design effort for this network.< >
ISSN:0272-1732
1937-4143
DOI:10.1109/40.387679