Patent ID: 11892563
Assignee: PROJECT CANARY, PBC
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 0:
1. A method of detecting human presence in an outdoor monitored site, the method comprising:
providing a first air quality monitor comprising:
a first transmitter for transmitting radio signals; and
a first receiver for receiving radio signals;

providing a second air quality monitor comprising:
a second transmitter for transmitting radio signals; and
a second receiver for receiving radio signals;

providing a third air quality monitor comprising:
a third transmitter for transmitting radio signals; and
a third receiver for receiving radio signals;
wherein each of the first receiver, the second receiver, and the third receiver is configured to receive radio signals transmitted by the first transmitter, the second transmitter, and the third transmitter;

receiving, from the first receiver, the second receiver, and the third receiver, radio signals as received by each of the first receiver, the second receiver, and the third receiver, corresponding to a space through which the radio signals propagate;
extracting, by a first machine learning network, channel state information data from the radio signals;
wherein the channel state information data comprises:
phase values; and
amplitude values;

converting, by the first machine learning network, the channel state information data into an image representation map of a predefined configuration, by performing domain translation of the channel state information data using a two-branch encoder-decoder network; and
generating, by a second machine learning network, a surface map based on the image representation map,
wherein the surface map is a representation of correspondence between the image representation map and a 3-dimensional (3D) surface associated with a human body.