Patents by Inventor Mehmet Alican NOYAN

Mehmet Alican NOYAN 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).

  • Publication number: 20240133821
    Abstract: Identifying 3D objects A method for identification of 3D objects comprises illuminating at least part of a 3D object with electromagnetic radiation, spectroscopically obtaining spectral data for one or more regions of the 3D object, and generating, at a data processing apparatus, an identification result for the 3D object using a trained machine learning model. The trained machine learning model processes the obtained spectral data for the one or more regions to generate one or more model outputs from which the identification result is derived.
    Type: Application
    Filed: January 2, 2024
    Publication date: April 25, 2024
    Inventors: Valerio PRUNERI, Mehmet Alican NOYAN, Anatoly GRUDININ
  • Patent number: 11898963
    Abstract: Identifying 3D objects A method for identification of 3D objects comprises illuminating at least part of a 3D object with electromagnetic radiation, spectroscopically obtaining spectral data for one or more regions of the 3D object, and generating, at a data processing apparatus, an identification result for the 3D object using a trained machine learning model. The trained machine learning model processes the obtained spectral data for the one or more regions to generate one or more model outputs from which the identification result is derived.
    Type: Grant
    Filed: December 8, 2021
    Date of Patent: February 13, 2024
    Assignees: FUNDACIÓ INSTITUT DE CIÈNCIES FOTÒNIQUES, INSTITUCIÓ CATALANA DE RECERCA I ESTUDIS AVANÇATS
    Inventors: Valerio Pruneri, Mehmet Alican Noyan, Anatoly Grudinin
  • Publication number: 20230393078
    Abstract: Identifying 3D objects A method for identification of 3D objects comprises illuminating at least part of a 3D object with electromagnetic radiation, spectroscopically obtaining spectral data for one or more regions of the 3D object, and generating, at a data processing apparatus, an identification result for the 3D object using a trained machine learning model. The trained machine learning model processes the obtained spectral data for the one or more regions to generate one or more model outputs from which the identification result is derived.
    Type: Application
    Filed: December 8, 2021
    Publication date: December 7, 2023
    Inventors: Valerio PRUNERI, Mehmet Alican NOYAN, Anatoly GRUDININ