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:
Sep. 23, 2025

Filed:

Apr. 21, 2023
Applicant:

Fluke Corporation, Everett, WA (US);

Inventors:

Matthew F. Schmidt, River Falls, WI (US);

Michael D. Stuart, Issaquah, WA (US);

Seyed Navid Roohani Isfahani, Everett, WA (US);

Shreyas Shivaram Shastry, Everett, WA (US);

Dileepa Prabhakar, Edmonds, WA (US);

Ronald Ainsworth, American Fork, UT (US);

Assignee:

Fluke Corporation, Everett, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/74 (2022.01); G06T 7/50 (2017.01); G06T 7/62 (2017.01); G06T 7/73 (2017.01); G06V 10/143 (2022.01); G06V 10/40 (2022.01); G06V 20/60 (2022.01);
U.S. Cl.
CPC ...
G06V 10/761 (2022.01); G06T 7/50 (2017.01); G06T 7/62 (2017.01); G06T 7/73 (2017.01); G06V 10/143 (2022.01); G06V 10/40 (2022.01); G06V 20/60 (2022.01); G06T 2207/10048 (2013.01); G06T 2207/20081 (2013.01); G06V 2201/10 (2022.01);
Abstract

Methods and apparatuses that utilize machine learning techniques to identify maintenance assets using sets of machine-health diagnostic images and link individual machine-health diagnostic images to the identified maintenance assets are described. The sets of machine-health diagnostic images may include a set of thermal images, a set of visible-light images, and/or a set of acoustic images. An identified maintenance asset may comprise an individual machine associated with a unique asset identifier. A diagnostic image linking system may acquire machine-health diagnostic images, apply object detection and other computer vision techniques to identify a particular machine within the machine-health diagnostic images, determine machine properties for the particular machine, generate a feature vector using the machine properties, select machine learning models corresponding with maintenance assets, generate predicted answers using the machine learning models, and generate an asset identifier for the particular machine based on the predicted answers.


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