Systems and Methods for Detecting, Extracting, and Categorizing Structure Data from Imagery
Summary
USPTO published patent application US20260099884A1 assigned to Insurance Services Office, Inc. The application covers systems and methods for detecting, extracting, and categorizing structure data from aerial imagery following major weather events. The system uses machine learning to process digital images and weather data, cross-references property and structure attributes, assigns risk ratings to structures, and generates data packages for users.
What changed
USPTO published patent application US20260099884A1 for Insurance Services Office, Inc. covering AI/ML-based systems that detect, extract, and categorize structure data from aerial imagery following major weather events. The system retrieves weather mapping data, extracts structure attributes via machine learning, cross-references property and weather data, assigns risk ratings, and delivers data packages to users.
For insurance companies and risk assessment professionals, this patent application signals ongoing development of AI-driven property assessment tools. While a published application does not yet grant enforceable patent rights, it indicates the direction of technological innovation in insurance data extraction and may inform future product development strategies.
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Apr 12, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Systems and Methods for Detecting, Extracting, and Categorizing Structure Data from Imagery
Application US20260099884A1 Kind: A1 Apr 09, 2026
Assignee
Insurance Services Office, Inc.
Inventors
Ron Richardson, Cory Shelton, Corey David Reed
Abstract
Systems and methods for detecting, extracting, and categorizing structure data from aerial imagery following a major weather event are provided. The system processes digital images and weather data to automatically detect, extract, and categorize structure data following a major weather event. After receiving an indication of a region of interest (“ROI”) from a user, the system retrieves weather mapping data for the ROI and retrieves information related to attributes of structures within the ROI from a machine learning subsystem. The system then cross-references the property data, the weather data, and the structure attributes and assigns a risk rating to the structures within the ROI. Finally, the system generates and delivers a data package to the user.
CPC Classifications
G06Q 40/08 G06F 16/29 G06N 20/00 G06T 7/0002 G06V 20/176 G06T 2200/24 G06T 2207/10032 G06T 2207/20081 G06T 2207/20104 G06T 2207/30184
Filing Date
2025-12-02
Application No.
19406064
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