Recently, the MIT press office publicized that the university's research team had developed an augmented reality headset called X-AR. It is reported that the headset, whose development costs are supported by the National Science Foundation and other departments, combines computer vision and wireless perception capabilities based on the HoloLens 2 architecture, which can automatically locate specific items hidden out of sight and guide the user to remove them (such as inside a box, inside a cabinet, in the middle of a pile of goods, etc.).

According to researchers, UHF RFID technology is now widely used in various countries in the global supply chain industry, with studies showing that more than 93 percent of retailers in the United States have adopted UHF RFID technology. Examples include superstore walmart, food company Kraft and cold chain supply company Eskimo Cold Storage. So, the team chose UHF RFID tags among the available RF sensing technologies to begin development.

The results show that X-AR accurately locates RFID-tagged objects in both line-of-sight and non-line-of-sight scenarios with a median accuracy of 9.8 cm. even the 90th percentile accuracy stays within 45 cm. In comparison, the standard SAR-based baseline has more than twice the error, with a median accuracy of 24.8 cm and a 90th percentile accuracy of 99.1 cm. X-AR tracks the movement of the RFID tag and the user's hand to automatically verify the picked object with over 95% accuracy.

Looking ahead, the status of UHF rfid tags will be further enhanced.