Patents by Inventor Guy Prefontaine

Guy Prefontaine 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).

  • Techniques to reconstruct data from acoustically constructed images using machine learning
    Patent number: 12153132
    Abstract: Acoustic data, such as a full matrix capture (FMC) matrix, can be reconstructed by applying a previously trained decoder machine learning model to one or more encoded acoustic images, such as the TFM image(s), to generate reconstructed acoustic data. A processor can use the reconstructed acoustic data, such as an FMC matrix, to recreate new encoded acoustic images, such as TFM image(s), using different generation parameters (e.g., acoustic velocity, part thickness, acoustic mode, etc.).
    Type: Grant
    Filed: September 13, 2021
    Date of Patent: November 26, 2024
    Assignee: Evident Canada, Inc.
    Inventors: Nicolas Badeau, Guy Prefontaine, Benoit Lepage
  • TECHNIQUES TO RECONSTRUCT DATA FROM ACOUSTICALLY CONSTRUCTED IMAGES USING MACHINE LEARNING
    Publication number: 20220163665
    Abstract: Acoustic data, such as a full matrix capture (FMC) matrix, can be reconstructed by applying a previously trained decoder machine learning model to one or more encoded acoustic images, such as the TFM image(s), to generate reconstructed acoustic data. A processor can use the reconstructed acoustic data, such as an FMC matrix, to recreate new encoded acoustic images, such as TFM image(s), using different generation parameters (e.g., acoustic velocity, part thickness, acoustic mode, etc.
    Type: Application
    Filed: September 13, 2021
    Publication date: May 26, 2022
    Inventors: Nicolas Badeau, Guy Prefontaine, Benoit Lepage