Advantages of Multiscale Detection of Defective Pills during Manufacturing

Craig C. Douglas, Li Deng, Yalchin R. Efendiev, Gundolf Haase, Andreas Kucher, Robert Lodder, Guan Qin

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

We explore methods to automatically detect the quality in individual or batches of pharmaceutical products as they are manufactured. The goal is to detect 100% of the defects, not just statistically sample a small percentage of the products and draw conclusions that may not be 100% accurate. Removing all of the defective products, or halting production in extreme cases, will reduce costs and eliminate embarrassing and expensive recalls. We use the knowledge that experts have accumulated over many years, dynamic data derived from networks of smart sensors using both audio and chemical spectral signatures, multiple scales to look at individual products and larger quantities of products, and finally adaptive models and algorithms. © 2010 Springer-Verlag.
Original languageEnglish (US)
Title of host publicationHigh Performance Computing and Applications
PublisherSpringer Nature
Pages8-16
Number of pages9
ISBN (Print)9783642118418
DOIs
StatePublished - 2010
Externally publishedYes

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