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.
Patent No.:
Date of Patent:
Sep. 05, 2023
Filed:
Sep. 13, 2022
Applicant:
Trax Technology Solutions Pte Ltd., Singapore, SG;
Inventor:
Youval Bronicki, Los Altos, CA (US);
Assignee:
Trax Technology Solutions Pte Ltd., Singapore, SG;
Primary Examiner:
Int. Cl.
CPC ...
G07G 1/00 (2006.01); G06Q 30/0601 (2023.01); G06V 20/40 (2022.01); G06V 20/52 (2022.01); G06V 40/10 (2022.01); G06Q 20/20 (2012.01); G06V 10/764 (2022.01); G06Q 30/02 (2023.01); G06Q 20/40 (2012.01); G06V 40/16 (2022.01); G06Q 20/14 (2012.01); G06V 40/20 (2022.01); G01G 19/414 (2006.01); G01G 19/52 (2006.01); G08B 5/36 (2006.01);
U.S. Cl.
CPC ...
G07G 1/0063 (2013.01); G06Q 20/145 (2013.01); G06Q 20/204 (2013.01); G06Q 20/208 (2013.01); G06Q 20/4016 (2013.01); G06Q 20/40145 (2013.01); G06Q 30/0281 (2013.01); G06Q 30/0609 (2013.01); G06Q 30/0613 (2013.01); G06Q 30/0617 (2013.01); G06Q 30/0623 (2013.01); G06Q 30/0633 (2013.01); G06Q 30/0635 (2013.01); G06Q 30/0639 (2013.01); G06V 10/764 (2022.01); G06V 10/765 (2022.01); G06V 20/44 (2022.01); G06V 20/52 (2022.01); G06V 40/103 (2022.01); G06V 40/172 (2022.01); G06V 40/20 (2022.01); G01G 19/4144 (2013.01); G01G 19/52 (2013.01); G08B 5/36 (2013.01);
Abstract
Methods, systems, and computer-readable media are provided for controlling a detail level of shopping data provided to frictionless shoppers. In one implementation, a method may comprise: receiving image data captured using one or more image sensors in a retail store; analyzing the image data to detect a shopper in the retail store; determining a likelihood that the shopper will be involved in shoplifting; controlling a detail level associated with frictionless shopping data provided to the shopper based on the determined likelihood that the shopper will be involved in shoplifting.