T. Boroushaki, M. Lam, W. Chen, L. Dodds, A. Eid and F. Adib, "Exploiting Synergies between Augmented Reality and RFIDs for Item Localization and Retrieval," 2023 IEEE International Conference on RFID (RFID), Seattle, WA, USA, 2023, pp. 30-35, doi: 10.1109/RFID58307.2023.10178452.

Abstract

Locating RFID-tagged items in the environment and guiding humans to retrieve the tagged items is an important problem in the RFID community. This paper explores how to exploit synergies between Augmented Reality (AR) headsets and RFID localization to help solve this problem by improving both user experience and localization accuracy. Using fundamental mathematical formulations for RFID localization, we derive confidence metrics and display guidance to the user to improve their experience and enable them to retrieve items faster. We build our primitives into an end - to-end system, RF - AR, and show that it achieves 8.6 cm median localization accuracy within 76 seconds and enables 55% faster retrieval than state-of-the-art past systems. Our results demonstrate that AR-based “human-in-the-loop” designs can make the localization task more accurate and efficient, and thus holds the potential to improve processes where items need to be retrieved quickly, such as in manufacturing, retail, and warehousing.