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Hyperspectral imaging using laser excitation for fast raman and fluorescence hyperspectral imaging for sorting and quality control applications

 
: Gruber, Florian; Wollmann, Philipp; Grählert, Wulf; Kaskel, Stefan

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Fulltext ()

Journal of imaging 4 (2018), No.10, Art. 110, 12 pp.
ISSN: 2313-433X
English
Journal Article, Electronic Publication
Fraunhofer IWS ()
hyperspectral imaging; Raman; fluorescence; sorting; quality control; black polymer; PZT; classification; machine learning

Abstract
A hyperspectral measurement system for the fast and large area measurement of Raman and fluorescence signals was developed, characterized and tested. This laser hyperspectral imaging system (Laser-HSI) can be used for sorting tasks and for continuous quality monitoring. The system uses a 532 nm Nd:YAG laser and a standard pushbroom HSI camera. Depending on the lens selected, it is possible to cover large areas (e.g., field of view (FOV) = 386 mm) or to achieve high spatial resolutions (e.g., 0.02 mm). The developed Laser-HSI was used for four exemplary experiments: (a) the measurement and classification of a mixture of sulphur and naphthalene; (b) the measurement of carotenoid distribution in a carrot slice; (c) the classification of black polymer particles; and, (d) the localization of impurities on a lead zirconate titanate (PZT) piezoelectric actuator. It could be shown that the measurement data obtained were in good agreement with reference measurements taken with a high-resolution Raman microscope. Furthermore, the suitability of the measurements for classification using machine learning algorithms was also demonstrated. The developed Laser-HSI could be used in the future for complex quality control or sorting tasks where conventional HSI systems fail.

: http://publica.fraunhofer.de/documents/N-515124.html