The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 31, 2023

Filed:

Jan. 13, 2020
Applicant:

Sensormatic Electronics, Llc, Boca Raton, FL (US);

Inventors:

Adam S. Bergman, Boca Raton, FL (US);

Steve Edward Trivelpiece, Rancho Santa Margarita, CA (US);

Eric F. Riggert, Trabuco Canyon, CA (US);

Steven Raynesford, Mission Viejo, CA (US);

Assignee:

SENSORMATIC ELECTRONICS, LLC, Boca Raton, FL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 3/08 (2006.01); G06K 7/10 (2006.01); G08B 13/24 (2006.01); G06Q 10/08 (2012.01);
U.S. Cl.
CPC ...
G06K 7/10425 (2013.01); G06N 20/00 (2019.01); G06Q 10/087 (2013.01); G08B 13/2462 (2013.01);
Abstract

Examples described herein generally relate to a system for monitoring tags in a retail environment. The system includes an exit system including one or more sensors that read a tag to obtain exit system measurements associated with a tag detection event. The system includes a memory and a processor configured to execute instructions to receive a selection of a base configuration, the base configuration including weighting values for a plurality of exit system measurements. The processor may classify a tag detection event into a first tag status for the tag detection event based on application of the weighting values to exit system measurements associated with the tag detection event. The processor may determine a second tag status of the tag after the tag detection event. The processor may update the weighting values using a machine-learning algorithm based on at least the first tag status and the second tag status.


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