公开(公告)号：US11532400B2

公开(公告)日：2022-12-20

申请号：US16705676

申请日：2019-12-06

Applicant: X Development LLC

Inventor： Anupama Thubagere Jagadeesh ,  Brian Lance Hie

IPC: G16H50/00 ,  G16H50/30 ,  G06Q30/06 ,  G16H10/60 ,  G06N3/08 ,  G06N3/04 ,  G06T7/44 ,  G06T5/40 ,  G06T7/00 ,  G06T5/50 ,  G06T7/11 ,  G06T7/90 ,  A61B5/00 ,  G16H20/00

Abstract: A system, method, and computer readable media are provided for obtaining a first set of skin data from an image capture system including at least one ultraviolet (UV) image of a user's skin. Performing a correction on the skin data using a second set of skin data associated with the user. Quantifying a plurality of skin parameters of the user's skin based on the first skin data, including quantifying a bacterial load. Quantifying the bacterial load by applying a brightness filter to isolate portions of the at least one UV image containing fluorescence, applying a dust filter, identifying portions of the at least one UV image that contain fluorescence due to bacteria, and determining a quantity of bacterial load in the users skin. Determining, using a machine learning model, an output associated with a normal skin state of the user and a current skin state of the user.

公开(公告)号：US20210174965A1

公开(公告)日：2021-06-10

申请号：US16705676

申请日：2019-12-06

Applicant: X Development LLC

Inventor： Anupama Thubagere Jagadeesh ,  Brian Lance Hie

IPC: G16H50/30 ,  G16H20/00 ,  G06Q30/06 ,  G16H10/60 ,  G06N3/08 ,  G06N3/04 ,  G06T7/44 ,  G06T5/40 ,  G06T7/00 ,  G06T5/50 ,  G06T7/11 ,  G06T7/90 ,  A61B5/00

Abstract: A system, method, and computer readable media are provided for obtaining a first set of skin data from an image capture system including at least one ultraviolet (UV) image of a user's skin. Performing a correction on the skin data using a second set of skin data associated with the user. Quantifying a plurality of skin parameters of the user's skin based on the first skin data, including quantifying a bacterial load. Quantifying the bacterial load by applying a brightness filter to isolate portions of the at least one UV image containing fluorescence, applying a dust filter, identifying portions of the at least one UV image that contain fluorescence due to bacteria, and determining a quantity of bacterial load in the users skin. Determining, using a machine learning model, an output associated with a normal skin state of the user and a current skin state of the user.