Invention Grant
- Patent Title: Computer vision systems and methods for ground surface condition detection and extraction from digital images
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Application No.: US17069497Application Date: 2020-10-13
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Publication No.: US11657533B2Publication Date: 2023-05-23
- Inventor: Bryce Zachary Porter , Cory Shelton , Josh Barker
- Applicant: Geomni, Inc.
- Applicant Address: US NJ Jersey City
- Assignee: Insurance Services Office, Inc.
- Current Assignee: Insurance Services Office, Inc.
- Current Assignee Address: US NJ Jersey City
- Agency: McCarter & English, LLP
- Main IPC: G06T7/70
- IPC: G06T7/70 ; G06T5/50 ; G06T3/40 ; G06T7/62

Abstract:
A system for detecting and extracting a ground surface condition from an image comprising a memory and a processor in communication with the memory. The processor performs a high resolution scan of at least one input image and generates an orthomosaic model and a digital surface model based on the performed high resolution scan. The processor generates an image tile based on the generated models and determines a label indicative of a probability of a presence of a ground surface condition for each pixel of the generated image tile via a computer vision model. The processor generates a label tensor for the at least one input image based on the determined labels and extracts a two-dimensional geospatial representation of a detected ground surface condition based on the generated label tensor. The processor generates a report indicative of damage associated with the detected ground surface condition based on the extracted two-dimensional geospatial representation.
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