The application of hyperspectral imaging technique to the characterisation of solid waste particles has been investigated. Different waste materials characteristics can be detected analysing their surface spectral response when properly energised by a suitable source. The proposed approach can be applied to develop specific sorting actions addressed to recognise and separate different materials or to develop innovative control strategies finalised to evaluate the performance of a separation equipment or of a processing stage. Selected case studies related to different solid waste recycling sectors, in which the application of hyperspectral imaging can be profitably utilised, are described: glass recycling, fluff from car dismantling and bottom ash from solid waste incinerator. Copyright © 2010 Inderscience Enterprises Ltd.
Hyperspectral imaging based recognition procedures in particulate solid waste recycling / Serranti, Silvia; Bonifazi, Giuseppe. - In: WORLD REVIEW OF SCIENCE, TECHNOLOGY AND SUSTAINABLE DEVELOPMENT. - ISSN 1741-2242. - ELETTRONICO. - 7:3(2010), pp. 271-281. [10.1504/wrstsd.2010.032529]
Hyperspectral imaging based recognition procedures in particulate solid waste recycling
SERRANTI, Silvia;BONIFAZI, Giuseppe
2010
Abstract
The application of hyperspectral imaging technique to the characterisation of solid waste particles has been investigated. Different waste materials characteristics can be detected analysing their surface spectral response when properly energised by a suitable source. The proposed approach can be applied to develop specific sorting actions addressed to recognise and separate different materials or to develop innovative control strategies finalised to evaluate the performance of a separation equipment or of a processing stage. Selected case studies related to different solid waste recycling sectors, in which the application of hyperspectral imaging can be profitably utilised, are described: glass recycling, fluff from car dismantling and bottom ash from solid waste incinerator. Copyright © 2010 Inderscience Enterprises Ltd.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.