Solid Waste Material Characterisation and Recognition by Hyperspectral Imaging Based Logics

Waste materials characterization and recognition can be performed through their surface spectral response. Such a goal can be reached using specialized devices able to collect of hyperspectral images allowing to collect information about material surface properties, status and physical-chemical attributes. The approach can be profitably applied with reference to two specific goals: development of specific sorting actions addressed to recognize and separate real-time different materials and set up of control strategies finalized to evaluate the performance of a separation. Case studies related to different recycling sectors, where hyperspectral imaging can be utilized, are described: glass recycling, fluff from car dismantling and bottom ash from solid waste incinerator.