Patents by Inventor Paul Allan Martin

Paul Allan Martin 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 for elemental analysis of a snack food product in a dynamic production line
    Patent number: 9678015
    Abstract: A method and apparatus for analyzing one or more elements of targeted moving snack food surfaces uses laser-induced breakdown spectroscopy to detect the presence, absence, or amount of an element on a heterogeneous surface, including seasoned and ready-to-eat snack foods. A laser is used to quantify the element concentration without destroying the targeted sample. An automated on-line system may be integrated into the method to create a closed-loop feedback control system, adjusting the concentration as desired.
    Type: Grant
    Filed: September 25, 2015
    Date of Patent: June 13, 2017
    Assignees: Frito-Lay North America, Inc., Applied Spectra, Inc.
    Inventors: Scott Fagan, Paul Allan Martin, Scotty G. Richardson, Richard E. Russo, Chen C. Shao, Jong Hyun Yoo, Chunyi Liu
  • Method for Elemental Analysis of a Snack Food Product in a Dynamic Production Line
    Publication number: 20160091434
    Abstract: A method and apparatus for analyzing one or more elements of targeted moving snack food surfaces uses laser-induced breakdown spectroscopy to detect the presence, absence, or amount of an element on a heterogeneous surface, including seasoned and ready-to-eat snack foods. A laser is used to quantify the element concentration without destroying the targeted sample. An automated on-line system may be integrated into the method to create a closed-loop feedback control system, adjusting the concentration as desired.
    Type: Application
    Filed: September 25, 2015
    Publication date: March 31, 2016
    Inventors: Scott Fagan, Paul Allan Martin, Scotty G. Richardson, Richard E. Russo, Chen C. Shao, Jong Hyun Yoo, Chunyi Liu
  • Method for on-line machine vision measurement, monitoring and control of organoleptic properties of products for on-line manufacturing processes
    Patent number: 7660440
    Abstract: A method for extracting feature information from product images using multivariate image analysis (MIA) to develop predictive models for organoleptic and other feature content and distribution on the imaged product. The imaging system is used to monitor product quality variables in an on-line manufacturing environment. The method may also be integrated into a closed-loop feedback control system in automated systems.
    Type: Grant
    Filed: April 27, 2004
    Date of Patent: February 9, 2010
    Assignee: Frito-Lay North America, Inc.
    Inventors: Wilfred Marcellien Bourg, Jr., Steven Andrew Bresnahan, Paul Allan Martin, John F. MacGregor, Honglu Yu, Mark-John Bruwer
  • Method for on-line machine vision measurement, monitoring and control of product features during on-line manufacturing processes
    Patent number: 7068817
    Abstract: A method for extracting feature information from product images using multivariate image analysis based on Principal Component Analysis (PCA) which is used to develop predictive models for feature content and distribution on the imaged product. The imaging system is used to monitor product quality variables in an on-line manufacturing environment. It may also be integrated into a closed-loop feedback control system in automated systems.
    Type: Grant
    Filed: November 7, 2002
    Date of Patent: June 27, 2006
    Assignee: McMaster University
    Inventors: Wilfred M. Bourg, Jr., Steven A. Bresnahan, Gabe Jan Haarsma, John F. MacGregor, Paul Allan Martin, Honglu Yu
  • Method for on-line machine vision measurement, monitoring and control of organoleptic properties of products for on-line manufacturing processes
    Publication number: 20040197012
    Abstract: A method for extracting feature information from product images using multivariate image analysis (MIA) to develop predictive models for organoleptic and other feature content and distribution on the imaged product. The imaging system is used to monitor product quality variables in an on-line manufacturing environment. The method may also be integrated into a closed-loop feedback control system in automated systems.
    Type: Application
    Filed: April 27, 2004
    Publication date: October 7, 2004
    Inventors: Wilfred Marcellien Bourg, Steven Andrew Bresnahan, Paul Allan Martin
  • Method for on-line machine vision measurement, monitoring and control of product features during on-line manufacturing processes
    Publication number: 20040091135
    Abstract: A method for extracting feature information from product images using multivariate image analysis based on Principal Component Analysis (PCA) which is used to develop predictive models for feature content and distribution on the imaged product. The imaging system is used to monitor product quality variables in an on-line manufacturing environment. It may also be integrated into a closed-loop feedback control system in automated systems.
    Type: Application
    Filed: November 7, 2002
    Publication date: May 13, 2004
    Inventors: Wilfred M. Bourg, Steven A. Bresnahan, Gabe Jan Haarsma, John F. MacGregor, Paul Allan Martin, Honglu Yu