Patents by Inventor Anders E. Heussy

Anders E. Heussy 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).

  • Method and system for generating a detector for process monitoring
    Patent number: 12762844
    Abstract: A method of generating a detector includes obtaining a first training dataset having a first image sequence with a first set of object tags identifying at least one first object class in a corresponding image. A first set of ground truth tags is obtained based on a ground truth timeline identifying when the at least one first object class appeared in the first image sequence. Images from the first training dataset are discarded by either identifying object tags by class from the first set of object tags without a corresponding ground truth tag from the first set of ground truth tags or identifying object tags by class from the first set of ground truth tags without a corresponding object tag from the first set of object tags to generate a first verified training dataset. A first parts-level detector is trained based on the first verified training dataset.
    Type: Grant
    Filed: February 2, 2024
    Date of Patent: October 13, 2026
    Assignee: The Boeing Company
    Inventors: Deepak Khosla, Brandon M. Courter, Shane E. Arthur, Jeremy D. Howe, Anders E. Heussy, Yang Chen
  • METHOD AND SYSTEM FOR GENERATING A DETECTOR FOR PROCESS MONITORING
    Publication number: 20250252712
    Abstract: A method of generating a detector includes obtaining a first training dataset having a first image sequence with a first set of object tags identifying at least one first object class in a corresponding image. A first set of ground truth tags is obtained based on a ground truth timeline identifying when the at least one first object class appeared in the first image sequence. Images from the first training dataset are discarded by either identifying object tags by class from the first set of object tags without a corresponding ground truth tag from the first set of ground truth tags or identifying object tags by class from the first set of ground truth tags without a corresponding object tag from the first set of object tags to generate a first verified training dataset. A first parts-level detector is trained based on the first verified training dataset.
    Type: Application
    Filed: February 2, 2024
    Publication date: August 7, 2025
    Applicant: The Boeing Company
    Inventors: Deepak Khosla, Brandon M. Courter, Shane E. Arthur, Jeremy D. Howe, Anders E. Heussy, Yang Chen