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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 11593783 B1

PDFFull Text
Date of Patent:
Feb. 28, 2023

Filed:

Apr. 26, 2021

Systems and methods of product recognition through multi-model image processing

Applicant:

Walmart Apollo, Llc, Bentonville, AR (US);

Inventors:

Michael A. Garner, Centerton, AR (US);

Priyanka Paliwal, Grapevine, TX (US);

Assignee:

Walmart Apollo, LLC, Bentonville, AR (US);

Attorney:

Fitch, Even, Tabin & Flannery LLP

Primary Examiner:

Mahendra R Patel

Int. Cl.
CPC ...
G06Q 20/20 (2012.01); G06N 20/00 (2019.01); G06F 16/535 (2019.01); G06K 9/62 (2022.01); G06N 5/04 (2023.01); G06Q 10/087 (2023.01); G06Q 20/12 (2012.01); G06Q 20/42 (2012.01); G06Q 30/0601 (2023.01); G06V 10/20 (2022.01); G06V 20/20 (2022.01); G06V 20/40 (2022.01); G06V 20/62 (2022.01);
U.S. Cl.
CPC ...
G06Q 20/208 (2013.01); G06F 16/535 (2019.01); G06K 9/6257 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 10/087 (2013.01); G06Q 20/12 (2013.01); G06Q 20/201 (2013.01); G06Q 20/42 (2013.01); G06Q 30/0623 (2013.01); G06Q 30/0633 (2013.01); G06V 10/255 (2022.01); G06V 20/20 (2022.01); G06V 20/49 (2022.01); G06V 20/62 (2022.01);
Abstract

In some embodiments, systems and methods are provided to recognize retail products, comprising: a model training system configured to: identify a customer; access an associated customer profile; access and apply a set of filtering rules to a product database based on customer data; generate a listing of products specific to the customer; access and apply a model training set of rules to train a machine learning model based on the listing of products and corresponding image data for each of the products in the listing of products; and communicate the trained model to the portable user device associated with first customer.

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