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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 10521645 B1

PDFFull Text
Date of Patent:
Dec. 31, 2019

Filed:

Mar. 15, 2019

Monitoring a display and shelf of the same product type

Applicant:

Trax Technologies Solutions Pte Ltd., Singapore, SG;

Inventors:

Yair Adato, Kfar Shmuel, IL;

David M. Gottlieb, Denver, CO (US);

Assignee:

TRAX TECHNOLOLGY SOLUTIONS PTE LTD., Singapore, SG;

Attorney:

Finnegan, Henderson, Farabow, Garrett & Dunner LLP

Primary Examiner:

Tsung Yin Tsai

Int. Cl.
CPC ...
G06T 7/73 (2017.01); 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); 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

The present disclosure relates to systems and methods for identifying products in retail stores based on analysis of image data and for automatically generating performance indicators relating to the identified products. In one implementation, the system may include a processor configured to receive a first set of images depicting a first plurality of products associated with single product type displayed on a first shelving unit in a retail store; analyze the first set of images to determine first product turnover data associated with the first shelving unit; receive a second set of images depicting a second plurality of products also associated with the single product type displayed on a second shelving unit in the retail store nonadjacent to the first shelving unit; and analyze the second set of images to determine second product turnover data associated with the second shelving unit.

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