Hyperspectral imaging applied to end-of-life concrete recycling

Silvia Serranti; Giuseppe Bonifazi

doi:10.1117/12.2039242

4 March 2014 Hyperspectral imaging applied to end-of-life concrete recycling

Silvia Serranti, Giuseppe Bonifazi

Proceedings Volume 9022, Image Sensors and Imaging Systems 2014; 90220V (2014) https://doi.org/10.1117/12.2039242
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

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.).

Citation Download Citation

Silvia Serranti and Giuseppe Bonifazi "Hyperspectral imaging applied to end-of-life concrete recycling", Proc. SPIE 9022, Image Sensors and Imaging Systems 2014, 90220V (4 March 2014); https://doi.org/10.1117/12.2039242

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