Share Email Print

Proceedings Paper

Hyperspectral imaging applied to end-of-life concrete recycling
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper a new technology, based on HyperSpectral Imaging (HSI) sensors, and related detection architectures, is investigated in order to develop suitable and low cost strategies addressed to: i) preliminary detection and characterization of the composition of the structure to dismantle and ii) definition and implementation of innovative smart detection engines for sorting and/or demolition waste flow stream quality control. The proposed sensing architecture is fast, accurate, affordable and it can strongly contribute to bring down the economic threshold above which recycling is cost efficient. Investigations have been carried out utilizing an HSI device working in the range 1000-1700 nm: NIR Spectral Camera™, embedding an ImSpector™ N17E (SPECIM Ltd, Finland). Spectral data analysis was carried out utilizing the PLS_Toolbox (Version 6.5.1, Eigenvector Research, Inc.) running inside Matlab® (Version 7.11.1, The Mathworks, Inc.), applying different chemometric techniques, selected depending on the materials under investigation. The developed procedure allows assessing the characteristics, in terms of materials identification, such as recycled aggregates and related contaminants, as resulting from end-of-life concrete processing. A good classification of the different classes of material was obtained, being the model able to distinguish aggregates from other materials (i.e. glass, plastic, tiles, paper, cardboard, wood, brick, gypsum, etc.).

Paper Details

Date Published: 4 March 2014
PDF: 10 pages
Proc. SPIE 9022, Image Sensors and Imaging Systems 2014, 90220V (4 March 2014); doi: 10.1117/12.2039242
Show Author Affiliations
Silvia Serranti, Univ. degli Studi di Roma La Sapienza (Italy)
Giuseppe Bonifazi, Univ. degli Studi di Roma La Sapienza (Italy)

Published in SPIE Proceedings Vol. 9022:
Image Sensors and Imaging Systems 2014
Ralf Widenhorn; Antoine Dupret, Editor(s)

© SPIE. Terms of Use
Back to Top