Innovative Recognition-sorting Procedures
Applied To Solid Waste:
The Hyperspectral Approach
Author(s)
G. Bonifazi, S. Serranti, A. Bonoli & A. Dall’Ara
Abstract
Waste materials characterization and recognition can be obtained through their
surface spectral response. Such a goal can be reached adopting specialized
devices that are able to develop acquisition strategies based on the collection of
hyperspectral images. The analyses of the detected spectra can give useful
information concerning the investigated material surface properties, status and
physical-chemical attributes. This last aspect can be utilized to define and
implement on-line procedures aimed to recognize different particulate solid
waste as they result after specific processing/selection actions. The present study
addressed the application of hyperspectral imaging approach for compost
products characterization, in order to develop control strategies to be
implemented at the plant scale. Reflectance spectra of selected compost samples
have been acquired in the visible-near infrared field (VIS-NIR): 400-1000 nm.
Correlations have been established between the physical-chemical characteristics
of the different compost products and their detected reflectance spectral
signature.
Keywords: hyperspectral imaging, solid waste recycling, compost, sorting.
1 Introduction
Hyperspectral imaging, traditionally used for earth remote sensing applications,
has become accessible as a powerful inspection tool for non-destructive analysis
Keywords
hyperspectral imaging, solid waste recycling, compost, sorting.
Related Book
Other papers in this volume
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