Invention Grant
- Patent Title: Roof condition assessment using machine learning
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Application No.: US16893090Application Date: 2020-06-04
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Publication No.: US11776104B2Publication Date: 2023-10-03
- Inventor: Shadrian Strong
- Applicant: Pictometry International Corp.
- Applicant Address: US NY Rochester
- Assignee: Pictometry International Corp.
- Current Assignee: Pictometry International Corp.
- Current Assignee Address: US NY Rochester
- Agency: DUNLAP CODDING, P.C.
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06F18/214 ; G06T7/00 ; G06F16/29 ; G06V20/10 ; G06F18/2415

Abstract:
Systems and methods for roof condition assessment from digital images using machine learning are disclosed, including receiving an image of a structure having roof characteristic(s), first pixel values depicting the structure, second pixel values outside of the structure depicting a background surrounding the structure, and first geolocation data; generating a synthetic shape image of the structure from the image using machine learning, including pixel values forming a synthetic outline shape, and having second geolocation data; mapping the synthetic shape onto the image, based on the first and second geolocation data, and changing the second pixel values so as to not depict the background; assessing roof characteristic(s) based on the first pixel values with a second machine learning algorithm resulting in a plurality of probabilities, each for a respective roof condition classification category, and determining a composite probability based upon the plurality of probabilities so as to classify the roof characteristic(s).
Public/Granted literature
- US20210089811A1 ROOF CONDITION ASSESSMENT USING MACHINE LEARNING Public/Granted day:2021-03-25
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