Patent ID: 11885661
Assignee: WILIOT, LTD.
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 12:
13. A system for developing a treatment plan using multi-stage machine learning, comprising:
a processing circuitry; and
a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
receive frequency words from a tag attached to a container containing material, wherein the tag provides a low-energy sensing configured to transmit the frequency words, wherein each frequency word is based on a frequency calibration of the tag with respect to a currently specified transmission frequency for transmission of data by the tag;
extract at least a first data feature from the received frequency words, wherein the extracted at least a first data feature changes in response to a type of material in the container;
classify the extracted at least a first data feature to label a type of the material in the container, wherein the classifying is performed by a trained machine classifier that employs a trained machine learning model; and
send a notification indicating the type of material in the container as classified by the trained machine classifier.