Patents by Inventor Chris Richard Calkins

Chris Richard Calkins 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: 9476865
    Abstract: A system and method for obtaining multispectral images of fresh meat at predetermined wavelength bands at a first time, subjecting the images to analysis in an image analysis system comprising a computer programmed to perform such analysis, and outputting a forecast of meat tenderness at a later point in time. Predetermined key wavelength bands are precorrelated with a high degree of prediction of meat tenderness and/or other properties of meat and are used in the multispectral system and method. A system and method for determining the key wavelengths is also disclosed. The multispectral imaging system and method is suitable for use in an industrial setting, such as a meat processing plant. The system and method is useful in a method for determining quality and yield grades at or near the time of imaging in lieu of visual inspection with the unaided human eye, increasing efficiency and objectivity.
    Type: Grant
    Filed: May 22, 2014
    Date of Patent: October 25, 2016
    Assignee: Goldfinch Solutions, LLC
    Inventors: Jeyamkondan Subbiah, Chris Richard Calkins, Ashok Kumor Samal, Govindarajan Konda Naganathan
  • Publication number: 20140293277
    Abstract: A system and method for obtaining multispectral images of fresh meat at predetermined wavelength bands at a first time, subjecting the images to analysis in an image analysis system comprising a computer programmed to perform such analysis, and outputting a forecast of meat tenderness at a later point in time. Predetermined key wavelength bands are precorrelated with a high degree of prediction of meat tenderness and/or other properties of meat and are used in the multispectral system and method. A system and method for determining the key wavelengths is also disclosed. The multispectral imaging system and method is suitable for use in an industrial setting, such as a meat processing plant. The system and method is useful in a method for determining quality and yield grades at or near the time of imaging in lieu of visual inspection with the unaided human eye, increasing efficiency and objectivity.
    Type: Application
    Filed: May 22, 2014
    Publication date: October 2, 2014
    Applicant: Goldfinch Solutions, LLC
    Inventors: Jeyamkondan Subbiah, Chris Richard Calkins, Ashok Kumor Samal, Govindarajan Konda Naganathan
  • Patent number: 8774469
    Abstract: A system and method for obtaining multispectral images of fresh meat at predetermined wavelength bands at a first time, subjecting the images to analysis in an image analysis system comprising a computer programmed to perform such analysis, and outputting a forecast of meat tenderness at a later point in time. Predetermined key wavelength bands are precorrelated with a high degree of prediction of meat tenderness and/or other properties of meat and are used in the multispectral system and method. A system and method for determining the key wavelengths is also disclosed. The multispectral imaging system and method is suitable for use in an industrial setting, such as a meat processing plant. The system and method is useful in a method for determining quality and yield grades at or near the time of imaging in lieu of visual inspection with the unaided human eye, increasing efficiency and objectivity.
    Type: Grant
    Filed: January 11, 2010
    Date of Patent: July 8, 2014
    Assignee: Goldfinch Solutions, LLC
    Inventors: Jeyamkondan Subbiah, Chris Richard Calkins, Ashok Kumor Samal, Govindarajan Konda Naganathan
  • Patent number: 8280144
    Abstract: Systems and methods are provided for analyzing material properties of an object using hyperspectral imaging. An exemplary method includes obtaining a hyperspectral image of an object; analyzing the hyperspectral image according to an algorithm; and correlating data obtained from the analysis with material properties of the object.
    Type: Grant
    Filed: February 21, 2008
    Date of Patent: October 2, 2012
    Assignee: Goldfinch Solutions, LLC
    Inventors: Jeyamkondan Subbiah, Chris Richard Calkins, Ashok Samal
  • Publication number: 20110273558
    Abstract: A system and method for obtaining multispectral images of fresh meat at predetermined wavelength bands at a first time, subjecting the images to analysis in an image analysis system comprising a computer programmed to perform such analysis, and outputting a forecast of meat tenderness at a later point in time. Predetermined key wavelength bands are precorrelated with a high degree of prediction of meat tenderness and/or other properties of meat and are used in the multispectral system and method. A system and method for determining the key wavelengths is also disclosed. The multispectral imaging system and method is suitable for use in an industrial setting, such as a meat processing plant. The system and method is useful in a method for determining quality and yield grades at or near the time of imaging in lieu of visual inspection with the unaided human eye, increasing efficiency and objectivity.
    Type: Application
    Filed: January 11, 2010
    Publication date: November 10, 2011
    Applicant: GOLDFINCH SOLUTIONS, LLC
    Inventors: Jeyamkondan Subbiah, Chris Richard Calkins, Ashok Kumor Samal, Govindarajan Konda Naganathan
  • Publication number: 20080199080
    Abstract: Systems and methods are provided for analyzing material properties of an object using hyperspectral imaging. An exemplary method includes obtaining a hyperspectral image of an object; analyzing the hyperspectral image according to an algorithm; and correlating data obtained from the analysis with material properties of the object.
    Type: Application
    Filed: February 21, 2008
    Publication date: August 21, 2008
    Applicant: BOARD OF REGENTS OF UNIVERSITY OF NEBRASKA
    Inventors: JEYAMKONDAN SUBBIAH, CHRIS RICHARD CALKINS, ASHOK SAMAL