RF-ISee: Identify and Distinguish Multiple RFID Tagged Objects in Augmented Reality Systems

In this paper, we leverage RFID technology to label different objects with RFID tags, so as to realize the vision of "show me what I see from the augmented reality system". We deploy additional RFID antennas to the COTS depth camera and propose a continuous scanning-based scheme to scan the objects, i.e., the system continuously rotates and samples the depth of field and RF-signals from these tagged objects. In this way, we can accurately identify and distinguish multiple tagged objects, by pairing the tags with the objects according to the correlations between the depth of field and RF-signals. Our solution achieves an average match ratio of 91% in distinguishing up to dozens of tagged objects with a high deployment density.