US 11,885,661 B2
Detecting material type using low-energy sensing
Ido Zelman, Hod-Hasharon (IL); Matan Epstein, Tel-Aviv (IL); Shay Moshe, Pardes Hanna-Karkur (IL); Tsvika Rabkin, Pardes Hanna-Karkur (IL); David Lipshitz, Raanana (IL); Tal Szpruch, Kfar Saba (IL); Dotan Ziv, Tel-Aviv (IL); and Alon Yehezkely, Haifa (IL)
Assigned to WILIOT, LTD., Caesarea (IL)
Filed by Wiliot, Ltd., Caesarea (IL)
Filed on Feb. 9, 2021, as Appl. No. 17/171,795.
Claims priority of provisional application 62/977,433, filed on Feb. 17, 2020.
Prior Publication US 2021/0255151 A1, Aug. 19, 2021
Int. Cl. G01F 23/28 (2006.01); G01F 23/284 (2006.01); G06N 20/00 (2019.01); G16H 20/17 (2018.01); G01F 23/296 (2022.01); G01N 29/34 (2006.01); G01N 29/44 (2006.01); G01N 29/46 (2006.01); G06F 18/21 (2023.01)
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
OG exemplary drawing
 
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.