Patents by Inventor Bernard Dale Hill

Bernard Dale Hill 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).

  • Method and apparatus for identifying and quantifying characteristics of seeds and other small objects
    Patent number: 7218775
    Abstract: The invention provides a method for identifying or quantifying characteristics of interest of unknown objects, comprising training a single neural network model with training sets of known objects having known values for the characteristics; validating the optimal neural network model; and analyzing unknown objects having unknown values of the characteristics by imaging them to obtain a digital image comprising pixels representing the unknown objects, background and any debris; processing the image to identify, separate, and retain pixels representing the unknown objects from pixels and to eliminate background and debris; analyzing the pixels representing each of the unknown objects to generate data representative of image parameters; providing the data to the flash code deployed from the candidate neural network model; analyzing the data through the flash code; and receiving output data (the unknown values of the characteristics of interest of the unknown objects) from the flash code in a predetermined forma
    Type: Grant
    Filed: September 16, 2002
    Date of Patent: May 15, 2007
    Assignee: Her Majesty the Queen in Right of Canada, as represented by the Minister of Agriculture and Agrifood
    Inventors: Eric Gerard Kokko, Bernard Dale Hill
  • Method and apparatus for identifying and quantifying characteristics of seeds and other small objects
    Publication number: 20030072484
    Abstract: The invention provides a method for identifying or quantifying characteristics of interest of unknown objects, comprising training a single neural network model with training sets of known objects having known values for the characteristics; validating the optimal neural network model; and analyzing unknown objects having unknown values of the characteristics by imaging them to obtain a digital image comprising pixels representing the unknown objects, background and any debris; processing the image to identify, separate, and retain pixels representing the unknown objects from pixels and to eliminate background and debris; analyzing the pixels representing each of the unknown objects to generate data representative of image parameters; providing the data to the flash code deployed from the candidate neural network model; analyzing the data through the flash code; and receiving output data (the unknown values of the characteristics of interest of the unknown objects) from the flash code in a predetermined forma
    Type: Application
    Filed: September 16, 2002
    Publication date: April 17, 2003
    Inventors: Eric Gerard Kokko, Bernard Dale Hill