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. 24, 2025

Filed:

Dec. 05, 2023
Applicant:

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

Inventors:

Amirhossein Tavanaei, Mason, OH (US);

Matthew Lloyd Barker, Mason, OH (US);

Faiz Feisal Sherman, Mason, OH (US);

Sherrie Lee Kinderdine, Mason, OH (US);

Scott Alan Hayes, Cincinnati, OH (US);

David Anthony Hengehold, Florence, KY (US);

Yanyan He, Beijing, CN;

Yumeng Ouyang, Beijing, CN;

Jiahui Li, Beijing, CN;

Nataliya Gurich, Cincinnati, OH (US);

Ming Qi, Beijing, CN;

Assignee:

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

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); A61B 1/24 (2006.01); G06Q 10/083 (2024.01); G06Q 30/0601 (2023.01); G06V 40/16 (2022.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0014 (2013.01); G06Q 10/083 (2013.01); G06Q 30/0631 (2013.01); G06V 40/166 (2022.01); G06V 40/171 (2022.01); G06V 40/175 (2022.01); G16H 50/20 (2018.01); A61B 1/24 (2013.01); G06T 2207/30036 (2013.01); G06T 2207/30201 (2013.01);
Abstract

Oral care based imaging computer-implemented systems and methods for analyzing attributes of a facial image portion of at least one person depicted in a digital image. An oral care digital imaging computer-implemented method for analyzing a facial image portion of a person depicted in a digital image may include analyzing the facial image portion for positive and negative attributes as defined by pixel data of the digital image and generating a probability value based on the positive and negative attributes in the facial image portion in the digital image.


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