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.
Patent No.:
Date of Patent:
Dec. 09, 2025
Filed:
Mar. 14, 2023
Pacific Gas and Electric Company, San Francisco, CA (US);
Kunal Datta, San Francisco, CA (US);
Tony Chen, San Francisco, CA (US);
Marcella Kwan, San Francisco, CA (US);
Patrick Buckles, San Ramon, CA (US);
Michael James Locatelli, Pittsburg, CA (US);
Teresa Alapat, Walnut Creek, CA (US);
Maria Joseph, San Francisco, CA (US);
Michael S. Glass, Oakland, CA (US);
Jonathan Mello, El Cerrito, CA (US);
Khushar Faizan, Walnut Creek, CA (US);
Xiwang Li, El Cerrito, CA (US);
Michael Signorotti, Los Angeles, CA (US);
Guilherme Mattar Bastos, San Francisco, CA (US);
Jacinto Chen, San Francisco, CA (US);
Erin Melissa Tan Antono, San Francisco, CA (US);
David Grayson, Portland, OR (US);
Jeffrey Mark Lovington, Santa Rosa, CA (US);
Laura Fehr, Walnut Creek, CA (US);
Charlene Chi-Johnston, San Francisco, CA (US);
PACIFIC GAS AND ELECTRIC COMPANY, Oakland, CA (US);
Abstract
In some embodiments, the system is directed to an autonomous inspection system for electrical grid components. In some embodiments, the system collects electrical grid component data using an autonomous drone and then transmits the inspection data to one or more computers. In some embodiments, the system includes artificial intelligence that analysis the data and identifies electrical grid components defects and provides a model highlighting the defects to a user. In some embodiments, the system enables a user to train the artificial intelligence by providing feedback for models where defects or components are not properly identified.