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:
Sep. 23, 2025

Filed:

Feb. 15, 2022
Applicant:

The Procter & Gamble Company, Cincinnati, OH (US);

Inventor:

Jonathan Richard Stonehouse, Windlesham, GB;

Assignee:

The Procter & Gamble Company, Cincinnati, OH (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06F 3/12 (2006.01); G06F 18/214 (2023.01); G06F 18/2431 (2023.01); G06K 7/14 (2006.01); G06V 10/44 (2022.01); G06V 10/82 (2022.01); G06V 20/00 (2022.01);
U.S. Cl.
CPC ...
G06V 20/95 (2022.01); G06F 3/1268 (2013.01); G06F 18/214 (2023.01); G06F 18/2431 (2023.01); G06K 7/1413 (2013.01); G06K 7/1417 (2013.01); G06V 10/44 (2022.01); G06V 10/82 (2022.01);
Abstract

AI based steganographic systems and methods are described for analyzing pixel data of a product to detect product counterfeiting. An AI based imaging model is trained with pixel data of a plurality of training images comprising (1) a first subset of images each depicting at least a portion of the product having one or more authentic steganographic features, and (2) a second subset of images each depicting at least a portion of the product devoid of the one or more authentic steganographic features. A new image comprising pixel data of the product may be received and analyzed by the AI based imaging model to detect the pixel-based feature presence or absence of authentic steganographic feature(s) to determine an image classification of the product. The AI based steganographic systems and methods may detect whether the product is authentic or counterfeit based on the image classification.


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