Jamie Chen

US Patent:

20230012236, Jan 12, 2023

Filed:

Jul 12, 2021

Appl. No.:

17/372852

Inventors:

Brian Alexander Cohn - Menlo Park CA, US
Austin Richard Napana Lamb - Manhattan Beach CA, US
Jamie Chen - Los Altos CA, US
Melissa Trieu - San Jose CA, US
Nikki Jamshidbaigi - Salt Lake City UT, US
Pavle Joshua Medvidovic - Manhattan Beach CA, US
Craig Gravina - Farmington CT, US

International Classification:

G06K 9/00
G06K 9/32
G06K 9/20
G06T 3/40
G06N 3/04
G06N 3/08

Abstract:

A method involves use of multiple convolutional neural networks and multiple segmentation masks to programmatically generate a stool rating for a digital image of a diaper with stool. The method includes generating, by a first convolutional neural network, a first mask representing an identification of an area of the digital image that corresponds to stool, and a second mask representing an identification of an area of the digital image that corresponds to a diaper. The method further includes generating a third mask representing an intersection of the first and second masks, and generating a modified digital image utilizing the third mask. The method further includes determining, by a second convolutional neural network, a stool rating for the digital image of the diaper with stool by utilizing the modified digital image as input for the second convolutional neural network.