Patents by Inventor David Frederick SMITH

David Frederick SMITH 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).

  • USE OF A CONVOLUTIONAL NEURAL NETWORK TO AUTO-DETERMINE A FLOOR HEIGHT AND FLOOR HEIGHT ELEVATION OF A BUILDING
    Publication number: 20260087344
    Abstract: A method using a convolutional neural network to auto-determine a first floor height (FFH) and a FFH elevation (FFE) of a building. The FFH, and FFE of the building are determined with respect to the terrain or surface of the parcel of land on which the building is located. In turn, by knowing the FFH and/or FFE of the building on the parcel, it is possible to use that information while performing a flood risk assessment to a property without requiring a personal inspection of the parcel by a human.
    Type: Application
    Filed: December 1, 2025
    Publication date: March 26, 2026
    Applicant: CORELOGIC SOLUTIONS, LLC
    Inventors: Wei DU, David Frederick SMITH, Taylor Bryant BROWN
  • Use of a convolutional neural network to auto-determine a floor height and floor height elevation of a building
    Patent number: 12488243
    Abstract: A method using a convolutional neural network to auto-determine a first floor height (FFH) and a FFH elevation (FFE) of a building. The FFH, and FFE of the building are determined with respect to the terrain or surface of the parcel of land on which the building is located. In turn, by knowing the FFH and/or FFE of the building on the parcel, it is possible to use that information while performing a flood risk assessment to a property without requiring a personal inspection of the parcel by a human.
    Type: Grant
    Filed: July 26, 2024
    Date of Patent: December 2, 2025
    Assignee: CORELOGIC SOLUTIONS, LLC
    Inventors: Wei Du, David Frederick Smith, Taylor Bryant Brown
  • USE OF A CONVOLUTIONAL NEURAL NETWORK TO AUTO-DETERMINE A FLOOR HEIGHT AND FLOOR HEIGHT ELEVATION OF A BUILDING
    Publication number: 20240386271
    Abstract: A system, apparatus, computer program product, and method use a convolutional neural network to auto-determine a first floor height (FFH) and a FFH elevation (FFE) of a building. The FFH, and FFE of the building are determined with respect to the terrain or surface of the parcel of land on which the building is located. In turn, by knowing the FFH and/or FFE of the building on the parcel, it is possible to use that information while performing a flood risk assessment to a property without requiring a personal inspection of the parcel by a human.
    Type: Application
    Filed: July 26, 2024
    Publication date: November 21, 2024
    Applicant: Corelogic Solutions, LLC
    Inventors: Wei DU, David Frederick SMITH, Taylor Bryant BROWN
  • Use of a convolutional neural network to auto-determine a floor height and floor height elevation of a building
    Patent number: 12056611
    Abstract: A system, apparatus, computer program product, and method use a convolutional neural network to auto-determine a first floor height (FFH) and a FFH elevation (FFE) of a building. The FFH, and FFE of the building are determined with respect to the terrain or surface of the parcel of land on which the building is located. In turn, by knowing the FFH and/or FFE of the building on the parcel, it is possible to use that information while performing a flood risk assessment to a property without requiring a personal inspection of the parcel by a human.
    Type: Grant
    Filed: December 6, 2022
    Date of Patent: August 6, 2024
    Assignee: CORELOGIC SOLUTIONS, LLC
    Inventors: Wei Du, David Frederick Smith, Taylor Bryant Brown
  • USE OF A CONVOLUTIONAL NEURAL NETWORK TO AUTO-DETERMINE A FLOOR HEIGHT AND FLOOR HEIGHT ELEVATION OF A BUILDING
    Publication number: 20230100515
    Abstract: A system, apparatus, computer program product, and method use a convolutional neural network to auto-determine a first floor height (FFH) and a FFH elevation (FFE) of a building. The FFH, and FFE of the building are determined with respect to the terrain or surface of the parcel of land on which the building is located. In turn, by knowing the FFH and/or FFE of the building on the parcel, it is possible to use that information while performing a flood risk assessment to a property without requiring a personal inspection of the parcel by a human.
    Type: Application
    Filed: December 6, 2022
    Publication date: March 30, 2023
    Applicant: Corelogic Solutions, LLC
    Inventors: Wei DU, David Frederick SMITH, Taylor Bryant Brown
  • Use of a convolutional neural network to auto-determine a floor height and floor height elevation of a building
    Patent number: 11555701
    Abstract: A system, apparatus, computer program product, and method use a convolutional neural network to auto-determine a first floor height (FFH) and a FFH elevation (FFE) of a building. The FFH, and FFE of the building are determined with respect to the terrain or surface of the parcel of land on which the building is located. In turn, by knowing the FFH and/or FFE of the building on the parcel, it is possible to use that information while performing a flood risk assessment to a property without requiring a personal inspection of the parcel by a human.
    Type: Grant
    Filed: May 1, 2020
    Date of Patent: January 17, 2023
    Assignee: CORELOGIC SOLUTIONS, LLC
    Inventors: Wei Du, David Frederick Smith, Taylor Bryant Brown
  • SYSTEM, COMPUTER PROGRAM PRODUCT AND METHOD FOR USING A CONVOLUTION NEURAL NETWORK TO AUTO-DETERMINE A FLOOR HEIGHT AND FLOOR HEIGHT ELEVATION OF A BUILDING
    Publication number: 20200348132
    Abstract: A system, apparatus, computer program product, and method automatically, accurately, and reliably detect floor elevations of improvements (e.g., houses) on parcels of land without human inspection of the property. Fusing aspects of image processing, artificial intelligence, and information on adjacent grade points along the footprint of a specific property, the present computer-based system identifies a first floor height (FFH), and first floor elevation (FFE) of the improvement with respect to the terrain or surface of the parcel of land on which the improvement is located. In turn, by knowing the FFH of the improvement on the parcel, it is possible to improve on conventional methods for estimating flood risk to a property without requiring a personal inspection of the parcel by a human.
    Type: Application
    Filed: May 1, 2020
    Publication date: November 5, 2020
    Applicant: CORELOGIC SOLUTIONS, LLC
    Inventors: Wei DU, David Frederick SMITH, Taylor Bryant Brown