Among circular manufacturing related procedures, those addressed to perform a preliminary analysis of materials to recycle and the products resulting from the recycling\/recovery process play a preeminent role, thus fulfilling the 6Rs rules: reducing, reusing, remanufacturing, redesigning, recovering, and recycling. The use of hyperspectral images overcomes the conventional limitations of digital cameras, opening new opportunities for waste material identification and classification. This can strongly affect the efficiency and capacity of several phases of the circularity processes, e.g. material selection from waste collection, components identification in the disassembly, quality control of different separate fraction as resulting from mechanical-physical separation of wastes, etc. . HyperSpectral Single Shot (HSSS) and\/or Imaging (HSI) based detection architectures are systematically utilized to reach the previously mentioned goals. HSSS and HSI approaches also fulfil an important goal: the optimization of energy consumption in manufacturing and End-of-Life processes according to the logic of Industrial Symbiosis not only for the recovery and the reuse of hi-quality recovered materials\/products, but also for the utilization of sensing architecture characterized by a low environmental impact, i.e. full optical units performing chemical-physical analysis \u201coff-line\u201d and \u201cat-line\u201d, without any use of chemical, and\/or \u201cin-line\u201d (i.e. laboratory scale) and \u201con-line\u201d (i.e. processing line scale). This project is based on the application of both HSSS and HSI based techniques, coupled with chemometric logics, to characterize different solid waste typologies and resulting recovered products, through the development, implementation and setup of fast, robust, effective, low cost, non-invasive and non-destructive analytical approaches. Consequently, the team will work on HSSS and\/HSI based hyperspectral sample acquisition of the different materials\/products in the SWIR range (1000-2500 nm), on the creation of a hyperspectral library of collected materials signatures in the SWIR range (1000-2500 nm), on the source scrap materials\/products classification by HSI according to their characteristics by PLS and MIA toolboxes (Eigenvector Research Inc., Wenatchee, WA, USA) running inside MATLAB environment. The detection and classification by HSI of other materials (i.e. pollutants) in respect of source scrap family and corresponding recovered products will bring to important comparison in terms of classification of materials and quality assessment of recovered concentrates.<\/p>\n","protected":false},"parent":0,"template":"","class_list":["post-1883","projects","type-projects","status-publish","hentry"],"acf":[],"yoast_head":"\n