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:
Jul. 07, 2026

Filed:

Mar. 26, 2024
Applicant:

Florida Power & Light Company, Juno Beach, FL (US);

Inventors:

Mackenzie Vecchio, Boca Raton, FL (US);

Andre R. Williams, West Palm Beach, FL (US);

Richard Bauder, Juno Beach, FL (US);

Stephen S. Cross, North Palm Beach, FL (US);

Rohan N. Shah, Palm Beach Gardens, FL (US);

Kyle A Bush, Palm Beach Garden, FL (US);

Paul R. Hynes, Jupiter, FL (US);

Eric D Schwartz, Palm Beach Gardens, FL (US);

Dmitri Soroka, Royal Palm Beach, FL (US);

David J. Sunderman, Loxahatchee, FL (US);

Assignee:

Florida Power & Light Company, Juno Beach, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/70 (2022.01); G06T 3/40 (2024.01);
U.S. Cl.
CPC ...
G06V 20/70 (2022.01); G06T 3/40 (2013.01);
Abstract

An image caption generator analyzes a set of images of a region of an environment captured during or after environmental emergency event to provide a set of utility images selected from the set of images that include a utility asset. The image caption generator also generates descriptive tags for the set of utility images. The descriptive tags each characterize a type and a state of a respective utility asset included in a respective image of the set of utility images. A verification engine cross-references the set of utility images with information from an external data source to confirm an accuracy of the descriptive tags for the set of utility images and providing feedback to the image caption generator based on results of the cross-referencing. The image caption generator adjusts the parameters of the ML model based on the feedback to increase accuracy of the descriptive tags.


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