Development of VIS/NIR hyperspectral imaging system for industrial sorting applications

Thomas Arnold; Martin De Biasio; Raghavendra Kammari; Krithika Sayar-Chand

doi:10.1117/12.2587981

12 April 2021 Development of VIS/NIR hyperspectral imaging system for industrial sorting applications

Thomas Arnold, Martin De Biasio, Raghavendra Kammari, Krithika Sayar-Chand

Proceedings Volume 11727, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVII; 117271B (2021) https://doi.org/10.1117/12.2587981
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Conference Poster

Abstract

Hyperspectral imaging systems are used in industrial sorting solutions to differentiate materials by subtle spectral features (spectral fingerprint) which are not resolvable by the human eye. Prominent applications are the detection of contaminants in food or the separation of different types of plastic. Hyperspectral line scan systems are suitable for many high throughput applications. A line across the sample, perpendicular to the direction of the relative movement, is projected into an imaging spectrograph. The spectral information for each pixel along this line is projected along the second axis of the two-dimensional detector chip. By spatial scanning of the sample the spectral data cube gets recorded. This paper presents the development of a laboratory hyperspectral imaging system capable of acquiring spectral data in the range from 400nm to 1700 nm. Therefore, Specim hyperspectral cameras FX10 and FX17 are used. The laboratory setup mimics an industrial sorting machine and will be used for application development. State of the art machine learning algorithms are used for data classification. Selected sorting applications are presented.

Conference Presentation

Citation Download Citation

Thomas Arnold, Martin De Biasio, Raghavendra Kammari, and Krithika Sayar-Chand "Development of VIS/NIR hyperspectral imaging system for industrial sorting applications", Proc. SPIE 11727, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVII, 117271B (12 April 2021); https://doi.org/10.1117/12.2587981

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available