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:
Jun. 02, 2020

Filed:

Mar. 15, 2019
Applicant:

Trax Technology Solutions Pte Ltd., Singapore, SG;

Inventors:

Yair Adato, Kfar Shmuel, IL;

Aviv Eisenschtat, Ramat Hasharon, IL;

Dolev Pomeranz, Hod Hasharon, IL;

Ziv Mhabary, Tel Aviv, IL;

Daniel Shimon Cohen, Hoboken, NJ (US);

Osnat Yanushevsky, Ramat Hasharon, IL;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06Q 20/20 (2012.01); H04N 5/232 (2006.01); G06Q 10/08 (2012.01); G06F 16/583 (2019.01); G06T 7/73 (2017.01); G06F 16/23 (2019.01); G06F 16/28 (2019.01); G06K 9/62 (2006.01); G06Q 30/06 (2012.01); G06T 7/70 (2017.01); G06Q 10/06 (2012.01); G06T 7/00 (2017.01); G06T 7/20 (2017.01); G06T 7/55 (2017.01); G06T 7/521 (2017.01); H04N 5/225 (2006.01); H04N 5/247 (2006.01); G06F 16/55 (2019.01); G06F 17/18 (2006.01); G06Q 50/28 (2012.01); G08B 21/18 (2006.01); G06K 9/32 (2006.01); G06F 16/903 (2019.01); G06T 7/13 (2017.01);
U.S. Cl.
CPC ...
G06K 9/00201 (2013.01); G06F 16/23 (2019.01); G06F 16/235 (2019.01); G06F 16/288 (2019.01); G06F 16/55 (2019.01); G06F 16/583 (2019.01); G06F 16/5846 (2019.01); G06F 16/90335 (2019.01); G06F 17/18 (2013.01); G06K 9/00362 (2013.01); G06K 9/00624 (2013.01); G06K 9/00671 (2013.01); G06K 9/00771 (2013.01); G06K 9/325 (2013.01); G06K 9/6231 (2013.01); G06Q 10/06311 (2013.01); G06Q 10/06316 (2013.01); G06Q 10/063112 (2013.01); G06Q 10/087 (2013.01); G06Q 10/0875 (2013.01); G06Q 20/203 (2013.01); G06Q 30/0629 (2013.01); G06Q 30/0639 (2013.01); G06Q 30/0643 (2013.01); G06Q 50/28 (2013.01); G06T 7/0002 (2013.01); G06T 7/13 (2017.01); G06T 7/20 (2013.01); G06T 7/521 (2017.01); G06T 7/55 (2017.01); G06T 7/70 (2017.01); G06T 7/75 (2017.01); G08B 21/18 (2013.01); G08B 21/182 (2013.01); H04N 5/2252 (2013.01); H04N 5/2253 (2013.01); H04N 5/23203 (2013.01); H04N 5/23219 (2013.01); H04N 5/23229 (2013.01); H04N 5/247 (2013.01); G06K 2209/01 (2013.01); G06K 2209/17 (2013.01); G06T 2207/30196 (2013.01); G06T 2207/30232 (2013.01); G06T 2207/30242 (2013.01);
Abstract

A system for processing images captured in a retail store is provided. The system may include a processor configured to: access a database storing a group of product models; receive an image depicting at least part of a store shelf having a plurality of products of a same type displayed thereon; analyze the image and determine a first candidate type of the products based on the group of product models and the image analysis; determine a first confidence level associated with the first candidate type; when the first confidence level is below a confidence threshold, determine a second candidate type of the products using contextual information; determine a second confidence level associated with the determined second candidate type of the plurality of products; and when the second confidence level is above the confidence threshold, initiate an action to update the group of product models stored in the database.


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