CPC G01F 23/284 (2013.01) [G01F 23/296 (2013.01); G01N 29/348 (2013.01); G01N 29/4454 (2013.01); G01N 29/46 (2013.01); G06F 18/217 (2023.01); G06N 20/00 (2019.01); G16H 20/17 (2018.01); G06F 2218/08 (2023.01); G06F 2218/12 (2023.01)] | 23 Claims |
1. A method for detecting material type using low-energy sensing, comprising:
receiving 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;
extracting 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;
classifying 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
sending a notification indicating the type of material in the container as classified by the trained machine classifier.
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