Demo - ZenseTag: Real-Time Passive RFID Sensing
Planning to Explore via Self-Supervised World Models
Demo - ZenseTag: Real-Time Passive RFID Sensing

Ishan Bansal
isbansal@ucsd.edu
Nagarjun Bhat
nbhat@ucsd.edu
Agrim Gupta
agg003@ucsd.edu
Harine Govindarajan
hgovindarajan@ucsd.edu
Dinesh Bharadia
dineshb@ucsd.edu
ACM MobiCom'24 Demo


Applications for ZenseTag
Sensing enables interaction with and quantification of the natural world, yet the adoption of sensing systems is limited due to battery dependence, complex interfaces, energy-harvesting needs, and readout latency. To address these issues, we introduce ZenseTag—a miniaturized, sticker-like platform that interfaces commercial sensors directly with COTS RFID tags. ZenseTag leverages the impedance response of these sensors to stimuli at Radio Frequencies, specifically tuned to the UHF RFID band. It integrates reliable differential analog sensing hardware with robust software for accurate, low-latency readouts, even amidst multipath effects. For demonstration, a PC will connect to an Impinj RF reader, which is linked to a high-gain antenna positioned near the trialing ZenseTag. The tag consists of a ZenseTag PCB interfaced with a sticker-like antenna and two RF ICs, with one IC connected to a sensor for specific applications. For example, testing the soil moisture tag will require a pot of dry soil, while the light sensor will need an external light source. To showcase ZenseTag's capabilities in detecting soil moisture, force, and luminosity, we will vary the soil moisture by adding water to the pot, press and release the force-sensitive resistor (FSR), and cover/uncover the photodiode. The response for each application will be displayed on a GUI developed for this purpose. Additionally, the demonstration will highlight ZenseTag’s robustness against obstacles and the movement of people around the sensors. We have thoroughly evaluated all three sensors: soil moisture, force, and light.



Website Template Originally made by Phillip Isola and Richard Zhang for colorful ECCV project; the code can be found here.