Patents by Inventor Gergely Svigruha

Gergely Svigruha 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).

  • Machine learning systems and methods for determining home value
    Patent number: 11769180
    Abstract: Techniques for determining value of a home by applying one or more neural network models to images of spaces in the home. The techniques include: obtaining at least one image of a first space inside or outside of a home; determining a type of the first space by processing the at least one image of the first space with a first neural network model; identifying at least one feature in the first space by processing the at least one image with a second neural network model different from the first neural network model and trained using images of spaces of a same type as the first space; and determining a value of the home at least in part by using the at least one feature as input to a machine learning model different from the first neural network model and the second neural network model.
    Type: Grant
    Filed: January 10, 2020
    Date of Patent: September 26, 2023
    Assignee: Orchard Technologies, Inc.
    Inventors: Mark Jayne, Gergely Svigruha, Raymond Liang, Gregory Aponte
  • Machine learning systems and methods for determining home value
    Patent number: 11682052
    Abstract: Techniques for determining value of a home by applying one or more neural network models to images of spaces in the home. The techniques include: obtaining at least one image of a first space inside or outside of a home; determining a type of the first space by processing the at least one image of the first space with a first neural network model; identifying at least one feature in the first space by processing the at least one image with a second neural network model different from the first neural network model and trained using images of spaces of a same type as the first space; and determining a value of the home at least in part by using the at least one feature as input to a machine learning model different from the first neural network model and the second neural network model.
    Type: Grant
    Filed: October 25, 2021
    Date of Patent: June 20, 2023
    Assignee: Orchard Technologies, Inc.
    Inventors: Mark Jayne, Gergely Svigruha, Raymond Liang, Gregory Aponte
  • MACHINE LEARNING SYSTEMS AND METHODS FOR DETERMINING HOME VALUE
    Publication number: 20220044285
    Abstract: Techniques for determining value of a home by applying one or more neural network models to images of spaces in the home. The techniques include: obtaining at least one image of a first space inside or outside of a home; determining a type of the first space by processing the at least one image of the first space with a first neural network model; identifying at least one feature in the first space by processing the at least one image with a second neural network model different from the first neural network model and trained using images of spaces of a same type as the first space; and determining a value of the home at least in part by using the at least one feature as input to a machine learning model different from the first neural network model and the second neural network model.
    Type: Application
    Filed: October 25, 2021
    Publication date: February 10, 2022
    Applicant: Orchard Technologies, Inc.
    Inventors: Mark Jayne, Gergely Svigruha, Raymond Liang, Gregory Aponte
  • MACHINE LEARNING SYSTEMS AND METHODS FOR DETERMINING HOME VALUE
    Publication number: 20210110439
    Abstract: Techniques for determining value of a home by applying one or more neural network models to images of spaces in the home. The techniques include: obtaining at least one image of a first space inside or outside of a home; determining a type of the first space by processing the at least one image of the first space with a first neural network model; identifying at least one feature in the first space by processing the at least one image with a second neural network model different from the first neural network model and trained using images of spaces of a same type as the first space; and determining a value of the home at least in part by using the at least one feature as input to a machine learning model different from the first neural network model and the second neural network model.
    Type: Application
    Filed: January 10, 2020
    Publication date: April 15, 2021
    Applicant: NoHo Solutions, Inc.
    Inventors: Mark Jayne, Gergely Svigruha, Raymond Liang, Gregory Aponte