Patent - Detecting Structure Data from Aerial Imagery
Summary
The USPTO has published patent application US20260099884A1, filed by Insurance Services Office, Inc. on December 2, 2025, covering systems and methods for detecting, extracting, and categorizing structure data from aerial imagery following major weather events. The invention uses machine learning to process digital images and weather mapping data, cross-reference property attributes, and assign risk ratings to structures within a user-defined region of interest. The system generates and delivers data packages to users for risk assessment purposes.
What changed
USPTO published patent application US20260099884A1 titled 'Systems and Methods for Detecting, Extracting, and Categorizing Structure Data from Imagery,' filed by Insurance Services Office, Inc. The application covers an AI/machine learning system that processes aerial imagery and weather data to automatically detect, extract, and categorize structural attributes following major weather events. The system cross-references property and weather data with structure attributes to assign risk ratings and generate data packages for users.
Patent application publications are informational filings and do not grant enforceable rights. Insurance companies, AI/technology firms, and property risk assessment service providers may monitor this application to understand emerging approaches to automated structure risk evaluation from aerial imagery. No compliance obligations arise from this publication.
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Apr 21, 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 (βROIβ) 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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