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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 10558843 B1

PDFFull Text
Date of Patent:
Feb. 11, 2020

Filed:

Mar. 14, 2019

Using price in visual product recognition

Applicant:

Trax Technology Solutions Pte Ltd., Singapore, SG;

Inventors:

Yair Adato, Kfar Shmuel, IL;

Aviv Eisenschtat, Ramat Hasharon, IL;

Ziv Mhabary, Tel Aviv, IL;

Daniel Shimon Cohen, Hoboken, NJ (US);

Assignee:

TRAX TECHNOLOGY SOLUTIONS PTE LTD., Singapore, SG;

Attorney:

Finnegan, Henderson, Farabow, Garrett & Dunner, LLP

Primary Examiner:

Amir Alavi

Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06Q 20/20 (2012.01); H04N 5/232 (2006.01); G06Q 10/08 (2012.01); 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 16/583 (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 16/5846 (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 and differentiating between products with similar visual appearances is provided. The system may comprise at least one processor configured to receive at least one image depicting a store shelf having a product displayed thereon, analyze the at least one image to detect the product, determine that the detected product is either a first type of product or a second type of product, analyze the at least one image to determine a price associated with the detected product, determine that the detected product is of the first type of product when the determined price falls within a first price range associated with the first type of product, and determine that the detected product is of the second type of product when the determined price falls within a second price range associated with the second type of product.

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