Patents by Inventor Eric N. Mortensen

Eric N. Mortensen 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).

  • Board lumber grading using deep learning semantic segmentation techniques
    Patent number: 10830755
    Abstract: A method of board lumber grading is performed in an industrial environment on a machine learning framework configured as an interface to a machine learning-based deep convolutional network that is trained end-to-end, pixels-to-pixels on semantic segmentation. The method uses deep learning techniques that are applied to semantic segmentation to delineate board lumber characteristics, including their sizes and boundaries.
    Type: Grant
    Filed: February 21, 2020
    Date of Patent: November 10, 2020
    Assignee: LUCIDYNE TECHNOLOGIES, INC.
    Inventors: Revathy Priyanga Narasimhan, Patrick Freeman, Hayden Michael Aronson, Kevin Johnsrude, Chris Mosbrucker, Dan Robin, Ryan T. Shear, Joseph H. Weintraub, Eric N. Mortensen
  • BOARD LUMBER GRADING USING DEEP LEARNING SEMANTIC SEGMENTATION TECHNIQUES
    Publication number: 20200191765
    Abstract: A method of board lumber grading is performed in an industrial environment on a machine learning framework configured as an interface to a machine learning-based deep convolutional network that is trained end-to-end, pixels-to-pixels on semantic segmentation. The method uses deep learning techniques that are applied to semantic segmentation to delineate board lumber characteristics, including their sizes and boundaries.
    Type: Application
    Filed: February 21, 2020
    Publication date: June 18, 2020
    Inventors: Revathy Priyanga Narasimhan, Patrick Freeman, Hayden Michael Aronson, Kevin Johnsrude, Chris Mosbrucker, Dan Robin, Ryan T. Shear, Joseph H. Weintraub, Eric N. Mortensen
  • Method of board lumber grading using deep learning techniques
    Patent number: 10571454
    Abstract: A method of board lumber grading is performed in an industrial environment on a machine learning framework configured as an interface to a machine learning-based deep convolutional network that is trained end-to-end, pixels-to-pixels on semantic segmentation. The method uses deep learning techniques that are applied to semantic segmentation to delineate board lumber characteristics, including their sizes and boundaries.
    Type: Grant
    Filed: March 5, 2018
    Date of Patent: February 25, 2020
    Assignee: Lucidyne Technologies, Inc.
    Inventors: Revathy Narasimhan, Patrick Freeman, Hayden Michael Aronson, Kevin Johnsrude, Chris Mosbrucker, Dan Robin, Ryan T. Shear, Joseph H. Weintraub, Eric N. Mortensen
  • METHOD OF BOARD LUMBER GRADING USING DEEP LEARNING TECHNIQUES
    Publication number: 20190227049
    Abstract: A method of board lumber (Table 2) grading is performed in an industrial environment on a machine learning framework (12) configured as an interface to a machine learning-based deep convolutional network (20) that is trained end-to-end, pixels-to-pixels on semantic segmentation. The method uses deep learning techniques that are applied to semantic segmentation to delineate board lumber characteristics (Table 1), including their sizes and boundaries.
    Type: Application
    Filed: March 5, 2018
    Publication date: July 25, 2019
    Inventors: Revathy Narasimhan, Patrick Freeman, Hayden Michael Aronson, Kevin Johnsrude, Chris Mosbrucker, Dan Robin, Ryan T. Shear, Joseph H. Weintraub, Eric N. Mortensen