	US 12,217,836 B2
	Image analysis for animal health assessments
Tara Courtney Zedayko, Ringoes, NJ (US); and Vamshi Kumar Bogoju, Columbus, OH (US)
Assigned to Ollie Pets Inc., Reno, NV (US)
Filed by Ollie Pets Inc., Reno, NV (US)
Filed on Sep. 15, 2023, as Appl. No. 18/468,257.
Application 18/468,257 is a continuation of application No. 17/160,581, filed on Jan. 28, 2021, granted, now 11,763,920.
Application 17/160,581 is a continuation in part of application No. 16/945,009, filed on Jul. 31, 2020, granted, now 11,803,962.
Claims priority of provisional application 62/880,836, filed on Jul. 31, 2019.
Prior Publication US 2024/0153600 A1, May 9, 2024
Int. Cl. G16H 10/20 (2018.01); G16H 15/00 (2018.01); G16H 20/30 (2018.01); G16H 20/60 (2018.01); G16H 50/20 (2018.01)

CPC G16H 10/20 (2018.01) [G16H 15/00 (2018.01); G16H 20/30 (2018.01); G16H 20/60 (2018.01); G16H 50/20 (2018.01)]

18 Claims

1. A method of analyzing a stool sample image to provide a health assessment of an animal, the method comprising:

receiving an image of a stool sample from a camera of a smartphone, wherein the image is a non-microscopic image of the stool sample;

identifying and extracting a region of interest within the image for further analysis;

analyzing one or more of a geometric attribute, a texture attribute, and a color attribute in the region of interest to identify one or more features of the stool sample, the one or more features of the stool sample including a presence of a non-stool substance;

applying a model to the one or more features of the stool sample including the non-stool substance, the model created by identifying a number of associations between one or more image-based features of stool and one or more health characteristics related thereto; and

using the model, and without laboratory analysis of the stool sample, predicting a health characteristic of an animal that deposited the stool sample, the health characteristic including a determination related to a presence or absence of a parasite.