Patents by Inventor Paul Philip Thomas

Paul Philip Thomas 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: 11051992
    Abstract: A method for inspecting absorbent articles is provided. The inspection is performed using an inspection algorithm generated with a convolutional neural network having convolutional neural network parameters. The convolutional neural network parameters are generated by a training algorithm. Based on the inspection, characteristics of the absorbent articles, such as defects, can be identified. Absorbent articles having identified characteristics can be rejected, or other actions can be taken.
    Type: Grant
    Filed: March 24, 2020
    Date of Patent: July 6, 2021
    Assignee: The Procter & Gamble Company
    Inventors: Paul Anthony Kawka, Stephen Michael Varga, Aitzaz Ahmad, Paul Philip Thomas
  • Publication number: 20200222247
    Abstract: A method for inspecting absorbent articles is provided. The inspection is performed using an inspection algorithm generated with a convolutional neural network having convolutional neural network parameters. The convolutional neural network parameters are generated by a training algorithm. Based on the inspection, characteristics of the absorbent articles, such as defects, can be identified. Absorbent articles having identified characteristics can be rejected, or other actions can be taken.
    Type: Application
    Filed: March 24, 2020
    Publication date: July 16, 2020
    Inventors: Paul Anthony Kawka, Stephen Michael Varga, Aitzaz Ahmad, Paul Philip Thomas
  • Patent number: 10632023
    Abstract: A method for inspecting absorbent articles is provided. The inspection is performed using an inspection algorithm generated with a convolutional neural network having convolutional neural network parameters. The convolutional neural network parameters are generated by a training algorithm. Based on the inspection, characteristics of the absorbent articles, such as defects, can be identified. Absorbent articles having identified characteristics can be rejected, or other actions can be taken.
    Type: Grant
    Filed: May 31, 2018
    Date of Patent: April 28, 2020
    Assignee: The Procter & Gamble Company
    Inventors: Paul Anthony Kawka, Stephen Michael Varga, Aitzaz Ahmad, Paul Philip Thomas
  • Publication number: 20180357756
    Abstract: A method for inspecting absorbent articles is provided. The inspection is performed using an inspection algorithm generated with a convolutional neural network having convolutional neural network parameters. The convolutional neural network parameters are generated by a training algorithm. Based on the inspection, characteristics of the absorbent articles, such as defects, can be identified. Absorbent articles having identified characteristics can be rejected, or other actions can be taken.
    Type: Application
    Filed: May 31, 2018
    Publication date: December 13, 2018
    Inventors: Paul Anthony Kawka, Stephen Michael Varga, Aitzaz Ahmad, Paul Philip Thomas