Patents by Inventor Evan T. Gebhardt

Evan T. Gebhardt 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).

  • MACHINE-LEARNING FRAMEWORK FOR DETECTING DEFECTS OR CONDITIONS OF RAILCAR SYSTEMS
    Publication number: 20240070834
    Abstract: A computer-implemented method in which one or more processing devices perform operations may include obtaining a field image of a railcar collected from a field camera system and applying a machine-learning algorithm to the field image to generate a machine-learning algorithm output. The method may also include performing a post-processing operation on the machine-learning algorithm output to generate a filtered machine-learning algorithm output. Further, the method may include detecting a defect of the railcar using the filtered machine-learning algorithm output.
    Type: Application
    Filed: May 10, 2023
    Publication date: February 29, 2024
    Inventors: Mahbod Amouie, Evan T. Gebhardt, Gongli Duan, Myles Grayson Akin, Wei Liu, Tianchen Wang, Mayuresh Manoj Sardesai, Ilya A. Lavrik
  • Machine-learning framework for detecting defects or conditions of railcar systems
    Patent number: 11663711
    Abstract: A computer-implemented method in which one or more processing devices perform operations may include obtaining a field image of a railcar collected from a field camera system and applying a machine-learning algorithm to the field image to generate a machine-learning algorithm output. The method may also include performing a post-processing operation on the machine-learning algorithm output to generate a filtered machine-learning algorithm output. Further, the method may include detecting a defect of the railcar using the filtered machine-learning algorithm output.
    Type: Grant
    Filed: October 10, 2022
    Date of Patent: May 30, 2023
    Assignee: Norfolk Southern Corporation
    Inventors: Mahbod Amouie, Evan T. Gebhardt, Gongli Duan, Myles Grayson Akin, Wei Liu, Tianchen Wang, Mayuresh Manoj Sardesai, Ilya A. Lavrik
  • Machine-learning framework for detecting defects or conditions of railcar systems
    Patent number: 11468551
    Abstract: A computer-implemented method in which one or more processing devices perform operations may include obtaining a field image of a railcar collected from a field camera system and applying a machine-learning algorithm to the field image to generate a machine-learning algorithm output. The method may also include performing a post-processing operation on the machine-learning algorithm output to generate a filtered machine-learning algorithm output. Further, the method may include detecting a defect of the railcar using the filtered machine-learning algorithm output.
    Type: Grant
    Filed: December 13, 2021
    Date of Patent: October 11, 2022
    Assignee: Norfolk Southern Corporation
    Inventors: Mahbod Amouie, Evan T. Gebhardt, Gongli Duan, Myles Grayson Akin, Wei Liu, Tianchen Wang, Mayuresh Manoj Sardesai, Ilya A. Lavrik