公开(公告)号：US11783385B1

公开(公告)日：2023-10-10

申请号：US16951900

申请日：2020-11-18

Applicant: MFTB Holdco, Inc.

Inventor： Naji Khosravan ,  Sing Bing Kang ,  Ivaylo Boyadzhiev ,  Pierre Moulon ,  Yujie Li

IPC: G06Q30/02 ,  G06T7/174 ,  G06T7/00 ,  G06T7/73 ,  G06F16/587 ,  G06F16/54 ,  G06Q50/16 ,  G06Q30/0283 ,  G06F30/13 ,  G06N20/00 ,  G01S17/89 ,  G06T11/00 ,  G06V10/60 ,  G06V20/10

CPC classification number: G06Q30/0278 ,  G01S17/89 ,  G06F16/54 ,  G06F16/587 ,  G06F30/13 ,  G06N20/00 ,  G06Q30/0283 ,  G06Q50/16 ,  G06T7/0002 ,  G06T7/174 ,  G06T7/73 ,  G06T11/00 ,  G06T2210/04 ,  G06V10/60 ,  G06V20/176 ,  G06V20/182 ,  G06V20/188

Abstract: A valuation system to identify interior features of a property, identify exterior features related to interior features using aerial images, and to generate property valuations based on the identified features is provided. The valuation system identifies, using a computer vision module, interior features based on interior image data (e.g., photos) of a property, and further identifies exterior features associated with any of the interior features based on an aerial photo of the property. For example, trees and buildings (e.g., exterior features) adjacent to a window (e.g., an interior feature) can be identified by a computer vision module through the combination of interior and exterior image data. In other words, the identification of property features by the computer vision module can be enriched by correlating interior image data (e.g., photos, video walkthroughs) to exterior image data (e.g., satellite photos, aerial photos).