Patents by Inventor Xiwang Li

Xiwang Li has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230222793
    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.
    Type: Application
    Filed: March 14, 2023
    Publication date: July 13, 2023
    Inventors: Kunal Datta, Tony Chen, Marcella Kwan, Patrick Buckles, Michael James Locatelli, Teresa Alapat, Maria Joseph, Michael S. Glass, Jonathan Mello, Khushar Faizan, Xiwang Li, Michael Signorotti, Guilherme Mattar Bastos, Jacinto Chen, Erin Melissa Tan Antono, David Grayson, Jeffrey Mark Lovington, Laura Fehr, Charlene Chi-Johnston
  • Patent number: 11604448
    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.
    Type: Grant
    Filed: July 29, 2020
    Date of Patent: March 14, 2023
    Assignee: PACIFIC GAS AND ELECTRIC COMPANY
    Inventors: Kunal Datta, Tony Chen, Marcella Kwan, Patrick Buckles, Michael James Locatelli, Teresa Alapat, Maria Joseph, Michael S. Glass, Jonathan Mello, Khushar Faizan, Xiwang Li
  • Publication number: 20210034027
    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.
    Type: Application
    Filed: July 29, 2020
    Publication date: February 4, 2021
    Inventors: Kunal Datta, Tony Chen, Marcella Kwan, Patrick Buckles, Michael James Locatelli, Teresa Alapat, Maria Joseph, Michael S. Glass, Jonathan Mello, Khushar Faizan, Xiwang Li