Patents by Inventor Julia D. Harris

Julia D. Harris 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).

  • Patent number: 11506656
    Abstract: Automated camera-based optical assessment involves color assessment of a physical object using conventional and inexpensive computer hardware such as a smartphone. A specially-configured test card includes a body supporting a reagent pad configured to change to an expected color in response to an enzymatic reaction, and an imaging key adjacent the reagent pad. The imaging key includes color fields including at least one field of the expected color. The hardware captures an image of the test card, and processes the image to identify the reagent pad and color fields, to process a brightness calibration target, to determine color values for the reagent pad and color fields, to calibrate the color values as a function of brightness and/or color by comparison to the brightness and color calibration targets, and to identify a color field most closely matching the reagent pad's color to determine a corresponding test result.
    Type: Grant
    Filed: November 14, 2017
    Date of Patent: November 22, 2022
    Assignee: Basil Leaf Technologies, LLC
    Inventors: Basil M. Harris, George C. Harris, Constantine F. Harris, Edward L. Hepler, Philip J. Charron, Julia D. Harris, Andrew D. Singer
  • Publication number: 20190392952
    Abstract: One aspect of the invention provides a computer-implemented method for diagnosing a condition. The computer-implemented method includes: (a) receiving one or more inputs regarding a subject's symptoms; (b) updating a plurality of models in parallel based on the one or more inputs, each model generating a numerical score reflecting a likelihood of one of a plurality of conditions; (c) identifying one or more most-likely conditions as a function of the numerical scores produced by the models; (d) requesting additional input based on the most-likely conditions; (e) receiving the additional input; (f) updating the models in parallel based on the additional input; (g) comparing updated numerical scores or a difference between sequenced updated numerical scores to a stored confidence threshold; and (h) repeating steps (c)-(g) until the compared numerical scores or the difference between sequenced numerical scores exceeds the stored confidence threshold.
    Type: Application
    Filed: November 28, 2017
    Publication date: December 26, 2019
    Applicant: Basil Leaf Technologies, LLC
    Inventors: Basil M. Harris, George C. Harris, Philip J. Charron, Julia D. Harris, Andrew D. Singer, Constantine F. Harris, Edward L. Hepler
  • Publication number: 20190346429
    Abstract: Automated camera-based optical assessment involves color assessment of a physical object using conventional and inexpensive computer hardware such as a smartphone. A specially-configured test card includes a body supporting a reagent pad configured to change to an expected color in response to an enzymatic reaction, and an imaging key adjacent the reagent pad. The imaging key includes color fields including at least one field of the expected color. The hardware captures an image of the test card, and processes the image to identify the reagent pad and color fields, to process a brightness calibration target, to determine color values for the reagent pad and color fields, to calibrate the color values as a function of brightness and/or color by comparison to the brightness and color calibration targets, and to identify a color field most closely matching the reagent pad's color to determine a corresponding test result.
    Type: Application
    Filed: November 14, 2017
    Publication date: November 14, 2019
    Applicant: Basil Leaf Technologies, LLC
    Inventors: Basil M. Harris, George C. Harris, Constantine F. Harris, Edward L. Hepler, Philip J. Charron, Julia D. Harris, Andrew D. Singer