Patents by Inventor DANIEL J. BARBOSA

DANIEL J. BARBOSA 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).

  • Patent number: 11263482
    Abstract: Systems and methods to label images for inclusion into a machine learning image recognition training data set. A coded labeling definition is defined. A set of digital images is collected that includes images of different types of piece of equipment. A digital image is presented that includes an image of a particular piece of equipment. A received numeric code corresponding to the particular piece of equipment within the present image is received. The received numeric code is associated with the present image and the present image is stored in association with the received numeric code into a machine learning image recognition data set. A machine learning image recognition is trained based on the machine learning image recognition data set to automatically associate unlabeled images with the respective numeric code that corresponds to the particular piece of equipment in the unlabeled image.
    Type: Grant
    Filed: August 9, 2019
    Date of Patent: March 1, 2022
    Assignee: Florida Power & Light Company
    Inventors: Eric D. Schwartz, Yinuo Du, Aaron J. Epel, Daniel J. Barbosa, Melanie A. Deangelis, Griffin M. Bracci
  • Patent number: 11107045
    Abstract: A service ticket control can close an open service ticket for a field service visit to resolve a power outage experienced at a given customer premises. The open service ticket can be closed in response to usage data from a given smart meter at the customer premises indicating that the customer premises is consuming power above a predetermined threshold level. The service ticket control closes the open service ticket prior to a service crew assigned the service ticket arriving at the given customer premises.
    Type: Grant
    Filed: March 20, 2017
    Date of Patent: August 31, 2021
    Assignee: FLORIDA POWER & LIGHT COMPANY
    Inventors: Adam D. Meranda, Daniel J. Barbosa, Lakshmi R. Penmetsa
  • Publication number: 20210042574
    Abstract: Systems and methods to label images for inclusion into a machine learning image recognition training data set. A coded labeling definition is defined. A set of digital images is collected that includes images of different types of piece of equipment. A digital image is presented that includes an image of a particular piece of equipment. A received numeric code corresponding to the particular piece of equipment within the present image is received. The received numeric code is associated with the present image and the present image is stored in association with the received numeric code into a machine learning image recognition data set. A machine learning image recognition is trained based on the machine learning image recognition data set to automatically associate unlabeled images with the respective numeric code that corresponds to the particular piece of equipment in the unlabeled image.
    Type: Application
    Filed: August 9, 2019
    Publication date: February 11, 2021
    Inventors: Eric D. SCHWARTZ, Yinuo DU, Aaron J. EPEL, Daniel J. BARBOSA, Melanie A. DEANGELIS, Griffin M. BRACCI
  • Publication number: 20180267494
    Abstract: A service ticket control can close an open service ticket for a field service visit to resolve a power outage experienced at a given customer premises. The open service ticket can be closed in response to usage data from a given smart meter at the customer premises indicating that the customer premises is consuming power above a predetermined threshold level. The service ticket control closes the open service ticket prior to a service crew assigned the service ticket arriving at the given customer premises.
    Type: Application
    Filed: March 20, 2017
    Publication date: September 20, 2018
    Applicant: FLORIDA POWER & LIGHT COMPANY
    Inventors: ADAM D. MERANDA, DANIEL J. BARBOSA, LAKSHMI R. PENMETSA