Patents Assigned to Orchard Technologies, Inc.
  • 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