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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.:

US 11935376 B1

PDFFull Text
Date of Patent:
Mar. 19, 2024

Filed:

Sep. 02, 2021

Using low-resolution images to detect products and high-resolution images to detect product id

Applicant:

Trax Technology Solutions Pte Ltd., Singapore, SG;

Inventors:

Yair Adato, Kfar Shmuel, IL;

Youval Bronicki, Los Altos, CA (US);

Ziv Mhabary, Tel Aviv, IL;

Assignee:

Trax Technology Solutions Pte Ltd., Singapore, SG;

Attorney:

Finnegan, Henderson, Farabow, Garrett & Dunner, LLP

Primary Examiner:

Mila Airapetian

Int. Cl.
CPC ...
G06Q 30/00 (2023.01); G06F 18/21 (2023.01); G06N 20/00 (2019.01); G06Q 10/0631 (2023.01); G06Q 10/0637 (2023.01); G06Q 10/087 (2023.01); G06Q 20/20 (2012.01); G06Q 30/0201 (2023.01); G06Q 30/0207 (2023.01); G06Q 30/0242 (2023.01); G06Q 30/0251 (2023.01); G06Q 30/0601 (2023.01); G06T 7/00 (2017.01); G06T 7/70 (2017.01); G06V 10/75 (2022.01); G06V 20/00 (2022.01); G06V 20/13 (2022.01); G06V 20/20 (2022.01); G06V 20/52 (2022.01); G08B 13/196 (2006.01); H02J 7/00 (2006.01); H02J 9/06 (2006.01); H04N 7/18 (2006.01); H04N 23/51 (2023.01); H04N 23/54 (2023.01); H04N 23/65 (2023.01); G06V 20/68 (2022.01); G06V 30/10 (2022.01);
U.S. Cl.
CPC ...
G08B 13/19632 (2013.01); G06F 18/21 (2023.01); G06N 20/00 (2019.01); G06Q 10/06312 (2013.01); G06Q 10/06315 (2013.01); G06Q 10/06375 (2013.01); G06Q 10/087 (2013.01); G06Q 20/203 (2013.01); G06Q 20/208 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0207 (2013.01); G06Q 30/0223 (2013.01); G06Q 30/0242 (2013.01); G06Q 30/0261 (2013.01); G06Q 30/0639 (2013.01); G06Q 30/0641 (2013.01); G06Q 30/0643 (2013.01); G06T 7/0006 (2013.01); G06T 7/001 (2013.01); G06T 7/70 (2017.01); G06V 10/751 (2022.01); G06V 20/00 (2022.01); G06V 20/13 (2022.01); G06V 20/20 (2022.01); G06V 20/52 (2022.01); G08B 13/19641 (2013.01); H02J 7/00036 (2020.01); H02J 7/0013 (2013.01); H02J 7/0048 (2020.01); H02J 7/0068 (2013.01); H02J 9/06 (2013.01); H04N 7/18 (2013.01); H04N 7/181 (2013.01); H04N 23/51 (2023.01); H04N 23/54 (2023.01); H04N 23/65 (2023.01); G06T 2207/10016 (2013.01); G06T 2207/30232 (2013.01); G06V 20/68 (2022.01); G06V 30/10 (2022.01); G06V 2201/07 (2022.01);
Abstract

A system for processing images captured in a retail store and automatically identifying products displayed on shelving units, includes at least one processor configured to: receive a first image depicting a shelving unit with a plurality of products of differing product types displayed thereon and a first plurality of labels coupled to the shelving unit; receive a set of second images depicting a second plurality of labels; correlate a first label depiction of a specific label included in the first image to a second label depiction of the same specific label included in a second image; use information derived from the second label depiction to determine a type of products displayed in the first image in proximity to the specific label; and initiate an action based on the determined type of products displayed in proximity to the specific label.

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