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Hyperspectral Imaging is Conquering the Industry
Author(s) -
Stiefenhöfer Peter
Publication year - 2020
Publication title -
photonicsviews
Language(s) - English
Resource type - Journals
eISSN - 2626-1308
pISSN - 2626-1294
DOI - 10.1002/phvs.202070208
Subject(s) - hyperspectral imaging , automation , computer science , image processing , artificial intelligence , computer vision , machine vision , quality (philosophy) , image (mathematics) , engineering drawing , engineering , mechanical engineering , philosophy , epistemology
Conventional image processing systems have become established in automation in industrial applications in recent years. Machines that can ‘see’ can do more than systems without image processing, and this knowledge has now become established among developers and designers. While conventional 2D and 3D vision systems check the quality of objects by recognizing certain error features on the surface, hyperspectral imaging (HSI) goes one step further: with the help of this technology, spectroscopic analysis of objects can be carried out in order to determine organic or inorganic impurities ‐‐ not only on the surface, but also partly inside the inspected materials.

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