How it works

Sensing From Every Direction. Fused by AI.

Multi-static RF measurements and centralized AI signal processing enable item-level localization.

fAInd conceptual visual illustration

Illustrative visualization, not a photograph of deployed fAInd equipment.

01

Tag the item

Use standard, battery-free passive UHF RFID labels.

02

Sense the shelf

Distributed frontend nodes capture RF signals across the environment.

03

Fuse with AI

Signal processing combines observations to estimate item position.

04

Act on the data

Surface item locations, counts, and movement events in software.

From an inexpensive label to a digital location.

The system is designed around existing passive RFID infrastructure economics — not costly active tags attached to each item.

Tag sensing, localization, and application data are separate layers that work together.

Sensing concept for tagged items on shelving
Integrated sensing infrastructure

Designed to disappear into the shelf.

Conceptual underside installation of fAInd sensing hardware beneath a retail shelf
Approved fAInd sensing device: four antennas, each independently connected to a separate SMA port on the central PCB

Compact sensing hardware fits beneath existing shelves. Four independent RF antenna connections feed the central PCB. Illustrative visualization, not a finalized installation specification.