Patent ID: 11967031
Assignee: THE PROCTER & GAMBLE COMPANY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A biological digital imaging method for analyzing pixel data of one or more digital images depicting absorbent articles or portions of absorbent articles, the biological digital imaging method comprising:
obtaining, at one or more processors, a digital image depicting an absorbent article or a portion of an absorbent article, the digital image comprising pixel data;
analyzing, by an imaging application (app) executing on the one or more processors and by inputting the digital image into a biological based learning model electronically accessible by the imaging app, wherein the biological based learning model is trained with pixel data of a plurality of training images depicting absorbent articles or portions of absorbent articles having respective biological features depicted within the pixel data of respective training images, the biological based learning model configured to output one or more biological prediction values corresponding to one or more biological features of the pixel data of the plurality of training images depicting the absorbent articles or the portions of absorbent articles, the digital image of the absorbent article or the portion of the absorbent article to detect a biological feature depicted within the pixel data of the digital image of the absorbent article or the portion of the absorbent article; and
generating, by the imaging app, an individual-specific biological prediction value corresponding to at least one of: (a) the absorbent article; (b) the portion of the absorbent article; or (c) an individual associated with the absorbent article or portion of the absorbent article,
wherein the biological based learning model is configured to automatically segment a region of interest of the digital image comprising the biological feature for biological analysis based on the pixel data of the digital image; and
wherein the individual-specific biological prediction value is based on the biological feature depicted within the pixel data of the digital image of the absorbent article or the portion of the absorbent article; and
wherein the biological feature identified in the pixel data comprises urine or a urine stain, and wherein the individual-specific biological prediction value comprises at least one of: (1) a urine health score; (2) a urine color score; (3) a urine and absorbent article product color score; or (4) a urine leakage score.