The possibility to systematically utilise HyperSpectral Imaging (HSI) techniques for the classification/inspection of both materials to recycle and/or products resulting from solid waste processing, of different origin and nature, can open new interesting scenarios. Results demonstrated as this technique can represent a very powerful and promising analytical tool to develop inspection/control strategies at processing level, in the recycling sector, and for the design nd set up of innovative on-line quality control strategies, enabling a full certification of the recovered products. Despite these advantages, HSI is still difficult to be systematically applied, especially in real-time industrial applications, because of the huge amount of data constituting a spectral image. In this paper, different applications of HSI techniques, with reference to the solid waste recycling sector are presented, and critically analyzed.
Quality control by hyperspectral imaging in solid waste recycling: Applications / Serranti, Silvia; Bonifazi, Giuseppe. - STAMPA. - (2013), pp. 1-26. (Intervento presentato al convegno 14th International Waste Management and Landfill Symposium tenutosi a S. Margherita di Pula (Ca), Italy nel 30 September - 4 October 2013).
Quality control by hyperspectral imaging in solid waste recycling: Applications
SERRANTI, Silvia;BONIFAZI, Giuseppe
2013
Abstract
The possibility to systematically utilise HyperSpectral Imaging (HSI) techniques for the classification/inspection of both materials to recycle and/or products resulting from solid waste processing, of different origin and nature, can open new interesting scenarios. Results demonstrated as this technique can represent a very powerful and promising analytical tool to develop inspection/control strategies at processing level, in the recycling sector, and for the design nd set up of innovative on-line quality control strategies, enabling a full certification of the recovered products. Despite these advantages, HSI is still difficult to be systematically applied, especially in real-time industrial applications, because of the huge amount of data constituting a spectral image. In this paper, different applications of HSI techniques, with reference to the solid waste recycling sector are presented, and critically analyzed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.