The possibility of applying a quality control system based on a hyperspectral imaging (HSI) technology working in the near infrared (NIR) range to the output of a separation process of PVC cable wastes is explored in this paper. The analysed material was a residue fraction of a traditional separation process further treated by magnetic density separation. Results show as PVC, PE, rubber and copper particles can be identified and classified adopting the NIR-HSI approach. |
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CITATIONS
Cited by 2 scholarly publications.
Copper
Particles
Hyperspectral imaging
Near infrared
Principal component analysis
Magnetism
Control systems