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

Claim 16:
17. The biological digital imaging method of claim 1, wherein the biological based learning model is further trained with product metrics of the absorbent articles or portions of absorbent articles as depicted in the plurality of training images or as provided as data input, and
wherein the biological based learning model is further trained with reference data of one or more respective individuals corresponding to the absorbent articles or portions of absorbent articles as depicted in the plurality of training images,
wherein the 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 comprise a positive attribute or a negative attribute corresponding to one or more of (1) the product metrics of the absorbent articles or portions of absorbent articles, or (2) the reference data of one or more respective individuals, and
wherein the biological digital imaging method further comprises:
receiving product metric data of the absorbent article or the portion of the absorbent article of the individual, and
receiving reference data of the individual,
wherein the biological based learning model generates the individual-specific biological prediction value is based on the product metric data of the absorbent article or the portion of the absorbent article of the individual, the reference data of the individual, and the biological feature that comprises at least one of the positive attribute or the negative attribute corresponding to one or more the product metric data or the reference data of the individual.