US 12,488,485 B2
Computer vision systems and methods for determining roof shapes from imagery using segmentation networks
Ryan Mark Justus, Lehi, UT (US); and Bryce Zachary Porter, Lehi, UT (US)
Assigned to Insurance Services Office, Inc., Jersey City, NJ (US)
Filed by Insurance Services Office, Inc., Jersey City, NJ (US)
Filed on May 16, 2023, as Appl. No. 18/197,837.
Application 18/197,837 is a continuation of application No. 17/716,623, filed on Apr. 8, 2022, granted, now 11,651,511, issued on May 16, 2023.
Claims priority of provisional application 63/172,286, filed on Apr. 8, 2021.
Prior Publication US 2023/0281853 A1, Sep. 7, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/60 (2017.01); G06T 7/11 (2017.01)
CPC G06T 7/60 (2013.01) [G06T 7/11 (2017.01); G06T 2207/10032 (2013.01); G06T 2207/20084 (2013.01)] 32 Claims
OG exemplary drawing
 
1. A computer vision system for determining roof shapes from imagery, comprising:
a memory storing at least one image of a structure having a roof structure; and
a processor in communication with the memory, the processor programmed to perform the steps of:
retrieving the at least one image of the structure from the memory;
processing the at least one image of the structure using a neural network to determine at least one ratio of roof structure types using the neural network, the at least one ratio of roof structure types indicating a percentage contribution of a roof shape toward a total roof structure; and
generating and transmitting a roof structure shape report indicative of a predominant shape of the roof structure based on the at least one ratio of roof structure types.