Estimating a condition of a physical structure

Patent metadata

Field	Value
Publication number	US-10679262-B1
Application number	US-201815975836-A
Country	US
Kind code	B1
Filing date	May 10, 2018
Priority date	Mar 15, 2013
Publication date	Jun 9, 2020
Grant date	Jun 9, 2020

Abstract

In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with a three-dimensional (3D) scanner. The 3D scanner generates 3D data. A point cloud or 3D model is constructed from the 3D data. The point cloud or 3D model is then analyzed to determine the condition of the structure.

First claim

We claim:

1. A computer-implemented method of inspecting a structure, the method comprising:
projecting onto a surface of a structure a light pattern;
detecting, by one or more 3D scanners, deformations in the light pattern projected onto the surface of the structure, wherein detecting the deformations in the light pattern comprises positioning the one or more 3D scanners via an aerial device so that the one or more 3D scanners can detect the deformation in the light pattern; and
generating, by the one or more 3D scanners, a 3D point cloud or 3D model based upon the detected deformation in the light pattern.

2. The computer-implemented method of claim 1 , the method further comprising analyzing, by one or more processors, the generated 3D point cloud or 3D model to generate an estimate of a condition of the surface of the structure.

3. The computer-implemented method of claim 2 , further including causing the one or more processors to calculate a financial cost based upon the estimate of the condition of the surface.

4. The computer-implemented method of claim 1 , the method further comprising analyzing, by one or more processors, the generated 3D point cloud or 3D model to identify one or more features of the surface of the structure.

5. The computer-implemented method of claim 4 , the method further comprising generating, by the one or more processors, an estimate of a condition of the surface of the structure based upon the identified one or more features.

6. The computer-implemented method of claim 5 , further including causing the one or more processors to calculate a financial cost based upon the estimate of the condition of the surface.

7. The computer-implemented method of claim 1 , wherein positioning the one or more 3D scanners comprises positioning the one or more 3D scanners via an on-board control system of the aerial device configured for autonomous operation.

8. The computer-implemented method of claim 1 , wherein positioning the one or more 3D scanners comprises positioning the one or more 3D scanners by wirelessly transmitting control commands to the aerial device.

9. The computer-implemented method of claim 1 , wherein positioning the one or more 3D scanners comprises positioning the one or more 3D scanners by transmitting from a base station via a tether control commands to the aerial device.

10. The computer-implemented method of claim 1 , wherein detecting the deformations in the light pattern further comprises positioning the one or more 3D scanners via a non-aerial device so that the one or more 3D scanners can detect the deformation in the light pattern.

11. The computer-implemented method of claim 10 , wherein positioning the one or more 3D scanners further comprises: (i) positioning the one or more 3D scanners via an on-board control system of the non-aerial device configured for autonomous operation; (ii) positioning the one or more 3D scanners by wirelessly transmitting control commands to the non-aerial device; or (iii) positioning the one or more 3D scanners by transmitting from a base station via a tether control commands to the non-aerial device.

12. A computer system configured to inspect a structure, the computer system configured to:
project, via a light projector, a light pattern onto a surface of a structure;
detect, by one or more 3D scanners, deformations in the light pattern projected onto the surface of the structure, wherein detecting the deformations in the light pattern comprises positioning the one or more 3D scanners via an aerial device so that the one or more 3D scanners can detect the deformation in the light pattern; and
generate, by the one or more 3D scanners, a 3D point cloud or 3D model based upon the detected deformation in the light pattern.

13. The computer system of claim 12 , the computer system further configured to analyze, by one or more processors, the generated 3D point cloud or 3D model to generate an estimate of a condition of the surface of the structure.

14. The computer system of claim 13 , the computer system further configured to cause the one or more processors to calculate a financial cost based upon the estimate of the condition of the surface.

15. The computer system of claim 12 , the computer system further configured to analyze, by one or more processors, the generated 3D point cloud or 3D model to identify one or more features of the surface of the structure.

16. The computer system of claim 15 , the computer system further configured to generate, by the one or more processors, an estimate of a condition of the surface of the structure based upon the identified one or more features.

17. The computer system of claim 16 , the computer system further configured to cause the one or more processors to calculate a financial cost based upon the estimate of the condition of the surface.

18. The computer system of claim 12 , wherein positioning the one or more 3D scanners comprises positioning the one or more 3D scanners via an on-board control system of the aerial device configured for autonomous operation.

19. The computer system of claim 12 , wherein positioning the one or more 3D scanners comprises positioning the one or more 3D scanners by wirelessly transmitting control commands to the aerial device.

20. The computer system of claim 12 , wherein positioning the one or more 3D scanners comprises positioning the one or more 3D scanners by transmitting from a base station via a tether control commands to the aerial device.

Assignees

• State Farm Mutual Automobile Insurance Co

Inventors

• Freeman James M
• Schmidgall Roger D
• Boyer Patrick H
• Christopulos Nicholas U
• Maurer Jonathan D
• Tofte Nathan L
• Jordan Ii Jackie O

Classifications

• G06Q30/0278 Primary

  Product appraisal · CPC title

• G06Q50/163

  Real estate management · CPC title

• G06T17/20 Primary

  Finite element generation, e.g. wire-frame surface description, {tesselation} · CPC title

• G06Q40/08

  Insurance · CPC title

• G01N21/8851

  Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges (G01N21/8806 and G01N21/93 - G01N21/95692 take precedence; optical measurement of dimensions G01B11/00; optical scanning G02B26/10; image transformation G06T3/00; computerised image enhancement G06T5/00; image processing per se for flaw detection G06T7/0002) · CPC title