Patents by Inventor Mehrdad ABOLBASHARI

Mehrdad ABOLBASHARI 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: 10203195
    Abstract: A measurement method and system include illuminating an object to be measured with light at two different wavelengths and an incident angle; capturing an image of the object; detecting a frequency of an interference pattern from the image using Fractional Bi-Spectrum Analysis; and calculating a thickness of the object based on the Fractional Bi-Spectrum Analysis. The thickness is calculated based on a relationship between the thickness and the frequency of the interference pattern. The Fractional Bi-Spectrum Analysis is performed on a linear medium with the two different wavelengths being known.
    Type: Grant
    Filed: September 13, 2017
    Date of Patent: February 12, 2019
    Assignee: UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE
    Inventors: Faramarz Farahi, Gelareh Babaie, Mehrdad Abolbashari
  • Patent number: 10007109
    Abstract: The present disclosure provides wavelength discriminating imaging systems and methods that spatially separate (over different depths) the wavelength constituents of an image using a dispersive lens system or element, such that this spectral information may be exploited and used. The wavelength constituents of an image are deconstructed and identified over different depths using a dispersive lens system or element.
    Type: Grant
    Filed: March 19, 2014
    Date of Patent: June 26, 2018
    Assignee: THE UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE
    Inventors: Mehrdad Abolbashari, Faramarz Farahi
  • Publication number: 20180128591
    Abstract: A measurement method and system include illuminating an object to be measured with light at two different wavelengths and an incident angle; capturing an image of the object; detecting a frequency of an interference pattern from the image using Fractional Bi-Spectrum Analysis; and calculating a thickness of the object based on the Fractional Bi-Spectrum Analysis. The thickness is calculated based on a relationship between the thickness and the frequency of the interference pattern. The Fractional Bi-Spectrum Analysis is performed on a linear medium with the two different wavelengths being known.
    Type: Application
    Filed: September 13, 2017
    Publication date: May 10, 2018
    Applicant: UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE
    Inventors: Faramarz FARAHI, Gelareh BABAIE, Mehrdad ABOLBASHARI
  • Patent number: 9945721
    Abstract: The present disclosure provides wavelength discriminating imaging systems and methods that spatially separate (over different depths) the wavelength constituents of an image using a dispersive element or lens, such that this spectral information may be exploited and used. The wavelength constituents of an image are deconstructed and identified over different depths using the dispersive element or lens.
    Type: Grant
    Filed: September 15, 2015
    Date of Patent: April 17, 2018
    Assignee: The University of North Carolina at Charlotte
    Inventors: Mehrdad Abolbashari, Faramarz Farahi
  • Patent number: 9389105
    Abstract: The present disclosure provides distributed sensor grid, surface, and skin systems and methods that utilize compressive sampling systems and methods for reading and processing the outputs of sensor arrays (serial and/or parallel) such that increased speed can be achieved. These sensor arrays can be functionalized or sensitized in any desired manner and functions are derived from the outputs, as opposed to individual data points. The sensor arrays can be made in the form of a textile, a fiber optic network, a MEMS network, or a CMOS camera, for example. In general, in accordance with the systems and methods of the present disclosure, a Code is applied to a distributed sensor as part of the compressive sampling technique and derives the functions.
    Type: Grant
    Filed: June 20, 2013
    Date of Patent: July 12, 2016
    Assignee: The University of North Carolina at Charlotte
    Inventors: Faramarz Farahi, Mehrdad Abolbashari
  • Patent number: 9250186
    Abstract: Novel measurement techniques based on moiré techniques and optical frequency conversion. For example, in the IR realm, the configuration can be any moiré configuration, the detector is an IR detector, and the light source can be at any wavelength. The optical configuration, the detector, and the type of light source depend on the physical properties of object/scene and the parameter(s) to be measured.
    Type: Grant
    Filed: March 18, 2014
    Date of Patent: February 2, 2016
    Assignee: The University of North Carolina at Charlotte
    Inventors: Faramarz Farahi, Mehrdad Abolbashari, Gelareh Babaie
  • Publication number: 20160003675
    Abstract: The present disclosure provides wavelength discriminating imaging systems and methods that spatially separate (over different depths) the wavelength constituents of an image using a dispersive element or lens, such that this spectral information may be exploited and used. The wavelength constituents of an image are deconstructed and identified over different depths using the dispersive element or lens.
    Type: Application
    Filed: September 15, 2015
    Publication date: January 7, 2016
    Applicant: UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE
    Inventors: Mehrdad ABOLBASHARI, Faramarz FARAHI
  • Publication number: 20150022658
    Abstract: A measurement method and system include illuminating an object to be measured with light at two different wavelengths and an incident angle; capturing an image of the object; detecting a frequency of an interference pattern from the image using Fractional Bi-Spectrum Analysis; and calculating a thickness of the object based on the Fractional Bi-Spectrum Analysis. The thickness is calculated based on a relationship between the thickness and the frequency of the interference pattern. The Fractional Bi-Spectrum Analysis is performed on a linear medium with the two different wavelengths being known.
    Type: Application
    Filed: July 16, 2014
    Publication date: January 22, 2015
    Applicant: UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE
    Inventors: Faramarz FARAHI, Gelareh BABAIE, Mehrdad ABOLBASHARI
  • Publication number: 20140374603
    Abstract: The present disclosure provides novel measurement techniques based on moiré techniques and optical frequency conversion. For example, in the IR realm, the configuration can be any moiré configuration, the detector is an IR detector, and the light source can be at any wavelength. The optical configuration, the detector, and the type of light source depend on the physical properties of object/scene and the parameter(s) to be measured.
    Type: Application
    Filed: March 18, 2014
    Publication date: December 25, 2014
    Applicant: THE UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE
    Inventors: Faramarz FARAHI, Mehrdad ABOLBASHARI, Gelareh BABAIE
  • Publication number: 20140375776
    Abstract: The present disclosure provides wavelength discriminating imaging systems and methods that spatially separate (over different depths) the wavelength constituents of an image using a dispersive lens system or element, such that this spectral information may be exploited and used. The wavelength constituents of an image are deconstructed and identified over different depths using a dispersive lens system or element.
    Type: Application
    Filed: March 19, 2014
    Publication date: December 25, 2014
    Applicant: THE UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE
    Inventors: Mehrdad ABOLBASHARI, Faramarz FARAHI
  • Publication number: 20130340543
    Abstract: The present disclosure provides distributed sensor grid, surface, and skin systems and methods that utilize compressive sampling systems and methods for reading and processing the outputs of sensor arrays (serial and/or parallel) such that increased speed can be achieved. These sensor arrays can be functionalized or sensitized in any desired manner and functions are derived from the outputs, as opposed to individual data points. The sensor arrays can be made in the form of a textile, a fiber optic network, a MEMS network, or a CMOS camera, for example. In general, in accordance with the systems and methods of the present disclosure, a Code is applied to a distributed sensor as part of the compressive sampling technique and derives the functions.
    Type: Application
    Filed: June 20, 2013
    Publication date: December 26, 2013
    Applicant: THE UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE
    Inventors: Faramarz FARAHI, Mehrdad ABOLBASHARI