Patents by Inventor Daniele Gionta

Daniele Gionta 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).

  • Image identification and retrieval for component fault analysis
    Patent number: 11354796
    Abstract: A method of identifying and retrieving component digital images for component fault analysis includes generating a known-fault database of digital images of known faults of a previously analyzed component and corresponding remedial actions. The method also includes accessing the known-fault database with a digital image of a current fault of a new component. The method additionally includes comparing the digital image of the current fault with the digital images in the known-fault database based on a computed target characteristic. The method also includes sorting the digital images in the known-fault database in order based on a magnitude of the computed target characteristic for each respective digital image in the known-fault database relative to the digital image of the current fault. The method further includes outputting the sorted digital images to facilitate correlation of the current fault to a particular known fault and identifying the corresponding remedial action.
    Type: Grant
    Filed: January 28, 2020
    Date of Patent: June 7, 2022
    Assignee: GM Global Technology Operations LLC
    Inventors: Davide Tricarico, Alessandra Neri, Giovanni Tomasino, Dario Pietro Cavallo, Daniele Gionta
  • IMAGE IDENTIFICATION AND RETRIEVAL FOR COMPONENT FAULT ANALYSIS
    Publication number: 20210233221
    Abstract: A method of identifying and retrieving component digital images for component fault analysis includes generating a known-fault database of digital images of known faults of a previously analyzed component and corresponding remedial actions. The method also includes accessing the known-fault database with a digital image of a current fault of a new component. The method additionally includes comparing the digital image of the current fault with the digital images in the known-fault database based on a computed target characteristic. The method also includes sorting the digital images in the known-fault database in order based on a magnitude of the computed target characteristic for each respective digital image in the known-fault database relative to the digital image of the current fault. The method further includes outputting the sorted digital images to facilitate correlation of the current fault to a particular known fault and identifying the corresponding remedial action.
    Type: Application
    Filed: January 28, 2020
    Publication date: July 29, 2021
    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Davide Tricarico, Alessandra Neri, Giovanni Tomasino, Dario Pietro Cavallo, Daniele Gionta