Patents by Inventor Karl A. Roesch

Karl A. Roesch 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).

  • DATA EXTRACTION FOR MACHINE-LEARNING OBJECT RECOGNITION FROM A DIGITAL MODEL AND TESTING-DATA CONSTRUCTION
    Publication number: 20240013496
    Abstract: A computer-implentable method includes accessing a model file containing a digital 3-D object, calculating at least one dimensional measurement of the object, uniformly scaling the object in the X, Y and Z axes by a predetermined percentage, mirroring the object across the X, Y and Z axes, slicing the mirrored object at a predetermined interval by an infinite plane in both a rotated and unrotated state of the infinite plane, generating from the slices points at the edge of a plane object collision, and assigning to the points positive and negative values relating to all possible X, Y and Z quadrant locations.
    Type: Application
    Filed: April 27, 2023
    Publication date: January 11, 2024
    Inventor: Karl Roesch
  • DATA EXTRACTION FOR MACHINE-LEARNING OBJECT RECOGNITION FROM A DIGITAL MODEL AND TESTING-DATA CONSTRUCTION
    Publication number: 20220335702
    Abstract: A computer-implentable method includes accessing a model file containing a digital 3-D object, calculating at least one dimensional measurement of the object, uniformly scaling the object in the X, Y and Z axes by a predetermined percentage, mirroring the object across the X. Y and Z axes, slicing the mirrored object at a predetermined interval by an infinite plane in both a rotated and unrotated state of the infinite plane, generating from the slices points at the edge of a plane object collision, and assigning to the points positive and negative values relating to all possible X, Y and Z quadrant locations.
    Type: Application
    Filed: July 6, 2022
    Publication date: October 20, 2022
    Inventor: Karl A. Roesch
  • Data extraction for machine-learning object recognition from a digital model and testing-data construction
    Patent number: 11410404
    Abstract: A computer-implantable method includes accessing a model file containing a digital 3-D object, calculating at least one dimensional measurement of the object, uniformly scaling the object in the X, Y and Z axes by a predetermined percentage, mirroring the object across the X, Y and Z axes, slicing the mirrored object at a predetermined interval by an infinite plane in both a rotated and animated state of the infinite plane, generating from the slices points at the edge of a plane object collision, and assigning to the points positive and negative values relating to all possible X, Y and Z quadrant locations.
    Type: Grant
    Filed: March 23, 2021
    Date of Patent: August 9, 2022
    Inventor: Karl A. Roesch
  • DATA EXTRACTION FOR MACHINE-LEARNING OBJECT RECOGNITION FROM A DIGITAL MODEL AND TESTING-DATA CONSTRUCTION
    Publication number: 20210390790
    Abstract: A computer-implantable method includes accessing a model file containing a digital 3-D object, calculating at least one dimensional measurement of the object, uniformly scaling the object in the X, Y and Z axes by a predetermined percentage, mirroring the object across the X, Y and Z axes, slicing the mirrored object at a predetermined interval by an infinite plane in both a rotated and animated state of the infinite plane, generating from the slices points at the edge of a plane object collision, and assigning to the points positive and negative values relating to all possible X, Y and Z quadrant locations.
    Type: Application
    Filed: March 23, 2021
    Publication date: December 16, 2021
    Inventor: Karl A. Roesch