4.7 Article

Wireless Material Identification in the Recycling Chain Using Chipless RFID Tags

Journal

IEEE SENSORS JOURNAL
Volume 23, Issue 13, Pages 14976-14987

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2023.3279009

Keywords

Recycling; Plastics; RFID tags; Costs; Metals; Glass; Random forests; Automated material identification; chipless radio frequency identification (RFID); circular ring resonators (CRRs); random forest classification; recycling chain

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This paper examines the utility of chipless RFID technology in identifying eight materials (seven plastic types and glass) in the recycling chain. The frequency response of circular ring resonators (CRRs) is used to encode material IDs, and a random forest classifier achieves up to 93% accuracy in material identification. The paper also presents a technique for improving the detection speed by reducing resolution at the cost of accuracy, and discusses future research directions.
The utility of chipless radio frequency identification (RFID) technology for the identification of eight materials (seven plastic types and glass) in the recycling chain is examined. We first demonstrate how the frequency response of eight circular ring resonators (CRRs), designed to operate in the 1.5-6-GHz band, is used to encode eight unique material IDs. Tagged items are inserted one at a time in front of a chipless RFID reader and the speed and accuracy of material identification, based on the ability to decode the tag's frequency response, is determined. We demonstrate the ability to correctly identify the material type using a random forest classifier with up to 93% accuracy while being 3-16x faster than other methods reported in the literature. A technique to further improve the detection speed, taking measurements with lower resolution, at the cost of accuracy is then presented. Finally, future directions of exploration are discussed.

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