Radio Frequency Identification (RFID) is used in various ways for the optimization of today’s supply chains. One problem in dense reader environments are false-positive RFID tag reads i.e., tags that have been read unintentionally by an RFID reader. This project proposes to apply low-level readers such as Received Signal Strength Indication, time stamps of reads and used antennae. An algorithm has been developed and verified in a productive RFID environment.
- Machine learning based approach that makes use of the low-level reader data collected when reading tags to detectsuch false-positives
- Evaluation in a productive RFID enabled distribution center with 7month of data describing 53,998 pallet events
- Results: More than 95.5% of the real world data was classified correctly
- Keller, T.; Thiesse, F.; Kungl, J.; Fleisch, E.; , “Using low-level reader data to detect
false-positive RFID tag reads,” Internet
of Things (IOT), 2010 , vol., no., pp.1-8, Nov. 29 2010-Dec. 1 2010