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Proceedings Paper • Open Access

Quantification and classification in process analytics using hyperspectral imaging
Author(s): Inga Niedermaier; Kirsten Glawion; Sten Sandring; Oliver Grass

Paper Abstract

Hyperspectral imaging as a method for in-line product assessment has evolved into an industrial technique widely used for spectral characterization of materials. The currently available computing performance allows the execution of data processing and chemometric analysis in milliseconds and enables the use of hyperspectral imaging in real time. Potential applications and the corresponding requirements are manifold. Separation of different materials, detection of defects and quantification in quality management are a few examples of major areas of operation. The broad range of potential applications is illustrated by examples covering different fields such as recycling, food or construction materials and different wavelength ranges of the used hyperspectral cameras.

Paper Details

Date Published: 17 September 2019
PDF: 11 pages
Proc. SPIE 11144, Photonics and Education in Measurement Science 2019, 1114409 (17 September 2019); doi: 10.1117/12.2534014
Show Author Affiliations
Inga Niedermaier, inno-spec GmbH (Germany)
Kirsten Glawion, inno-spec GmbH (Germany)
Sten Sandring, SanSys Electronic GmbH (Switzerland)
Oliver Grass, inno-spec GmbH (Germany)

Published in SPIE Proceedings Vol. 11144:
Photonics and Education in Measurement Science 2019
Maik Rosenberger; Paul-Gerald Dittrich; Bernhard Zagar, Editor(s)

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