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:
Dec. 10, 2024

Filed:

Jul. 31, 2023
Applicant:

Trax Technology Solutions Pte Ltd., Singapore, SG;

Inventors:

Youval Bronicki, Los Altos, CA (US);

May Masha Mordechay, Pardes Hanna, IL;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2023.01); G06Q 10/087 (2023.01); G06Q 20/20 (2012.01); G06Q 30/0204 (2023.01); G06Q 30/0241 (2023.01); G06Q 30/0242 (2023.01); G06Q 30/0251 (2023.01); G06Q 30/0283 (2023.01); G06Q 30/0601 (2023.01); G06T 7/70 (2017.01); G06T 7/80 (2017.01); G06T 19/00 (2011.01); G06V 10/44 (2022.01); G06V 20/52 (2022.01); H04N 17/00 (2006.01); H04N 23/90 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0627 (2013.01); G06Q 10/087 (2013.01); G06Q 20/20 (2013.01); G06Q 20/203 (2013.01); G06Q 30/0204 (2013.01); G06Q 30/0241 (2013.01); G06Q 30/0246 (2013.01); G06Q 30/0255 (2013.01); G06Q 30/0261 (2013.01); G06Q 30/0283 (2013.01); G06Q 30/0629 (2013.01); G06Q 30/0631 (2013.01); G06Q 30/0633 (2013.01); G06Q 30/0639 (2013.01); G06Q 30/0641 (2013.01); G06Q 30/0643 (2013.01); G06T 7/70 (2017.01); G06T 7/80 (2017.01); G06T 19/006 (2013.01); G06V 10/454 (2022.01); G06V 20/52 (2022.01); H04N 17/002 (2013.01); H04N 23/90 (2023.01); G06T 2207/30232 (2013.01);
Abstract

Systems and methods are provided for retail environments. In one implementation, a non transitory computer-readable medium may include instructions that when executed by a processor cause the processor to perform a method. The method may include detecting online digital activities related to a retail store and originating from customers in the retail store; receiving position information indicating positions from which the detected online digital activities originated; clustering the detected online digital activities based on the position information to provide clusters of detected online digital activities, each cluster being associated with a different region of the retail store; using an image acquisition device to capture images of a particular region of the retail store associated with a particular cluster; analyzing the images to detect a condition of the retail store associated with the detected cluster; and automatically initiating a remedial action to address the detected condition.


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