The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 28, 2024

Filed:

Jul. 22, 2021
Applicant:

X Development Llc, Mountain View, CA (US);

Inventors:

Hongxu Ma, Mountain View, CA (US);

Allen Richard Zhao, Mountain View, CA (US);

Cyrus Behroozi, Menlo Park, CA (US);

Derek Werdenberg, Sunnyvale, CA (US);

Jie Jacquot, San Carlos, CA (US);

Vadim Tschernezki, Schönefeld, DE;

Assignee:

X Development LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 20/68 (2022.01); A23L 33/10 (2016.01); G06N 3/04 (2023.01); G06N 5/01 (2023.01); G06N 20/20 (2019.01); G06T 7/11 (2017.01); G06T 7/12 (2017.01); G06T 7/174 (2017.01); G06V 20/13 (2022.01); G06V 20/10 (2022.01);
U.S. Cl.
CPC ...
G06T 7/174 (2017.01); A23L 33/10 (2016.08); G06N 3/04 (2013.01); G06N 20/20 (2019.01); G06V 20/13 (2022.01); A23V 2002/00 (2013.01); G06T 2207/10036 (2013.01); G06T 2207/30128 (2013.01); G06V 20/194 (2022.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for image segmentation and chemical analysis using machine learning. In some implementations, a system obtains a hyperspectral image that includes a representation of an object. The system segments the hyperspectral image to identify regions of a particular type on the object. The system generates a set of feature values derived from image data for different wavelength bands that is located in the hyperspectral image in the identified regions of the particular type. The system generates a prediction of a level of one or more chemicals in the object based on an output produced by a machine learning model in response to the set of feature values being provided as input to the machine learning model. The system provides data indicating the prediction of the level of the one or more chemicals in the object.


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