Patents by Inventor Kevin Lawhon

Kevin Lawhon 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).

  • SYSTEMS AND METHODS FOR DETERMINING DEFECTS IN PHYSICAL OBJECTS
    Publication number: 20230326007
    Abstract: In one embodiment, a method includes receiving, by a defect detector module, an image of a physical object and classifying, by the defect detector module, one or more first features from the image of the physical object into one or more first classifications using one or more machine learning algorithms. The method further includes analyzing, by the defect detector module, the one or more first classifications and determining, by the defect detector module, that the physical object comprises a defect based on analyzing the one or more first classifications.
    Type: Application
    Filed: March 10, 2023
    Publication date: October 12, 2023
    Applicant: BNSF Railway Company
    Inventors: Rachel Kohler, Darrell R. Krueger, Kevin Lawhon, Garrett Smitley
  • Systems and methods for determining defects in physical objects
    Patent number: 11620743
    Abstract: In one embodiment, a method includes receiving, by a defect detector module, an image of a physical object and classifying, by the defect detector module, one or more first features from the image of the physical object into one or more first classifications using one or more machine learning algorithms. The method further includes analyzing, by the defect detector module, the one or more first classifications and determining, by the defect detector module, that the physical object comprises a defect based on analyzing the one or more first classifications.
    Type: Grant
    Filed: March 8, 2021
    Date of Patent: April 4, 2023
    Assignee: BNSF Railway Company
    Inventors: Rachel Kohler, Darrell R. Krueger, Kevin Lawhon, Garrett Smitley
  • SYSTEMS AND MEHODS FOR DETERMINING DEFECTS IN PHYSICAL OBJECTS
    Publication number: 20210192716
    Abstract: In one embodiment, a method includes receiving, by a defect detector module, an image of a physical object and classifying, by the defect detector module, one or more first features from the image of the physical object into one or more first classifications using one or more machine learning algorithms. The method further includes analyzing, by the defect detector module, the one or more first classifications and determining, by the defect detector module, that the physical object comprises a defect based on analyzing the one or more first classifications.
    Type: Application
    Filed: March 8, 2021
    Publication date: June 24, 2021
    Inventors: Rachel Kohler, Darrell R. Krueger, Kevin Lawhon, Garrett Smitley
  • Systems and methods for determining defects in physical objects
    Patent number: 10984521
    Abstract: In one embodiment, a method includes receiving, by a defect detector module, an image of a physical object and classifying, by the defect detector module, one or more first features from the image of the physical object into one or more first classifications using one or more machine learning algorithms. The method further includes analyzing, by the defect detector module, the one or more first classifications and determining, by the defect detector module, that the physical object comprises a defect based on analyzing the one or more first classifications.
    Type: Grant
    Filed: November 20, 2018
    Date of Patent: April 20, 2021
    Assignee: BNSF Railway Company
    Inventors: Rachel Kohler, Darrell R. Krueger, Kevin Lawhon, Garrett Smitley
  • SYSTEMS AND METHODS FOR DETERMINING DEFECTS IN PHYSICAL OBJECTS
    Publication number: 20200160505
    Abstract: In one embodiment, a method includes receiving, by a defect detector module, an image of a physical object and classifying, by the defect detector module, one or more first features from the image of the physical object into one or more first classifications using one or more machine learning algorithms. The method further includes analyzing, by the defect detector module, the one or more first classifications and determining, by the defect detector module, that the physical object comprises a defect based on analyzing the one or more first classifications.
    Type: Application
    Filed: November 20, 2018
    Publication date: May 21, 2020
    Inventors: Rachel Kohler, Darrell R. Krueger, Kevin Lawhon, Garrett Smitley