Method of determining measurements for designing a part utilizing a reference object and end user provided metadata

• US 9,208,581 B2
• Filed: 12/23/2014
• Issued: 12/08/2015
• Est. Priority Date: 01/07/2013
• Status: Active Grant

• Current Assignee: WexEnergy Innovations LLC
• Original Assignee: Wexebergy Innovations LLC
• Inventors: Wexler, Ronald M.
• Primary Examiner(s): ANSARI, TAHMINA N
• Application Number:
  US14/581,140
• Publication Number:
  US 20150110421A1
• Time in Patent Office: 350 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: E04B 1/76 specifically with respect to heat only heat insulation in general F16L59/00
• CPC Class Codes: E06B 7/16 Sealing arrangements on wings or parts co-operating with the wings specially adapted for fireproof or similar closures E06B5/164; E06B7/098 takes precedence ; fixed sealing joints E04B1/68; devices for fitting sealing strips E04F21/00
• CPC Class Codes: G01C 11/04 Interpretation of pictures
• CPC Class Codes: G06T 2207/10004 Still image; Photographic image
• CPC Class Codes: G06T 3/00 Geometric image transformations in the plane of the image
• CPC Class Codes: G06T 7/33 using feature-based methods
• CPC Class Codes: G06T 7/60 Analysis of geometric attributes
• CPC Class Codes: G06T 7/73 using feature-based methods
• CPC Class Codes: G06V 10/235 based on user input or interaction
• CPC Class Codes: G06V 10/245 by locating a pattern; Special marks for positioning
• CPC Class Codes: G06V 10/48 by mapping characteristic values of the pattern into a parameter space, e.g. Hough transformation
• CPC Class Codes: G06V 10/993 Evaluation of the quality of the acquired pattern
• CPC Class Codes: G06V 20/10 Terrestrial scenes scenes under surveillance with static cameras G06V20/52; scenes perceived from the exterior of a vehicle G06V20/56; scenes perceived from the interior of a vehicle G06V20/59
• CPC Class Codes: G06V 20/39 Urban scenes
• CPC Class Codes: H04N 23/81 for suppressing or minimising disturbance in the image signal generation
• CPC Class Codes: H04N 7/183 for receiving images from a single remote source

Abstract

A system and method for the measurement of distances related to an object depicted in an image. One aspect includes delivery of supplemental materials for fenestration and for constructing insulating materials for fenestration. A digital image containing a primary object dimension and a reference object dimension in substantially the same plane undergoes digital image processing to provide improved measurement capability. Information regarding a primary object, including end user provided metadata related to the primary object and/or a reference object, is provided to an automated measurement process, design and manufacturing system to provide customized parts to end users. A digital image is obtained having an observable constraint dimension to which a customized part is to conform wherein the digital image contains a reference object having a reference dimension and a constraint dimension is calculated from the digital image based on a reference dimension. The custom part is designed and manufactured based on the calculated constraint dimension.

Claims

1. A computer implemented method of determining measurements for designing a part, said method comprising:

obtaining a digital image on a computer, said digital image containing at least a primary object constraint dimension to which said part is to conform and a standard reference object having one or more readily identified known linear dimensions viewable in said digital image;

detecting, on a computer, said reference object in said digital image utilizing at least one of color, edge and shape detection;

determining, on a computer, pixel dimensions of said standard reference object based on said one or more known reference object dimensions and calculating a calibration factor therefrom using said one or more known linear dimensions;

receiving at least one of a reference object feature identification and a primary object feature identification from an end user after capture of said digital image for aiding in detection of a reference object and/or primary object dimension end points;

calculating, on a computer, a planar constraint dimension from said digital image in accordance with said calibration factor; and

wherein said digital image is obtained substantially within a projection of said primary object.

2. The method according to claim 1, wherein said object feature identification comprises at least one of orientation, location, color and dimension.

3. The method according to claim 1, wherein receiving said object feature identification is operative to aid in detection of said reference object location.

4. The method according to claim 3, wherein said reference object is identified by the end user by touching or tapping on a mobile device display at a point that is near or part of the reference object in the captured digital image.

5. The method according to claim 1, wherein said reference object feature identification is generated by the end user clicking, touching or tapping on a display depicting the captured digital image thereby indicating to aid in identifying the reference object.

6. The method according to claim 1, wherein said primary object feature identification is generated by the end user clicking, touching or tapping on display depiciting the captured digital image near or on the primary object.

7. The method according to claim 1, wherein said object feature identification is operative to aid in detection of said primary object orientation.

8. The method according to claim 7, wherein said primary object orientation is identified by the end user by touching or tapping on a mobile device display at a point that is near or part of the primary object dimension endpoint in the captured digital image.

9. The method according to claim 1, wherein detection of said reference object is aided by identification of said reference object by at least one of a service provider, designer and fabricator on a computer system remote from an end user capture device.

10. The method according to claim 1, wherein detection of said primary constraint dimension is identified by at least one of a service provider, designer and fabricator on a computer system remote from an end user capture device.

11. The method according to claim 10, wherein said identification of said primary constraint dimension identified by at least one of the service provider, designer and fabricator includes at least one end point of said primary constraint dimension.

12. The method according to claim 1, wherein detection of said primary object orientation is identified by at least one of a service provider, designer and fabricator on a computer system remote from an end user capture device.

13. A computer implemented method of determining measurements for designing a part, said method comprising:

providing a digital file of a figure to be printed onto a standard sized thin, flat object to be used as a reference object;

obtaining a digital image on a computer, said digital image containing at least a primary object constraint dimension to which said part is to conform and said reference object having said figure printed thereon and one or more readily identified known linear dimensions viewable in said digital image;

detecting, on a computer, said reference object in said digital image utilizing at least one of color, edge and shape detection;

determining, on a computer, pixel dimensions of said reference object based on said one or more known reference object dimensions and calculating a calibration factor therefrom using said one or more known linear dimensions;

calculating, on a computer, a planar constraint dimension from said digital image in accordance with said calibration factor; and

wherein said digital image is obtained substantially within a projection of said primary object.

14. The method according to claim 13, wherein said digital file is provided by at least one of a designer, fabricator and service provider.

15. The method according to claim 13, wherein said standard sized thin, flat object comprises a standard sized piece of paper.

16. The method according to claim 13, wherein said standard sized thin, flat object is rigid or semi-rigid.

21. The method according to claim 13, wherein said digital file figure includes high contrast and/or color distinction from the surrounding primary object to aid in locating said reference object.

17. A computer implemented method of determining measurements for designing a part, said method comprising:

obtaining a digital image on a computer, said digital image containing at least a primary object constraint dimension to which said part is to conform and a standard reference object having one or more readily identified known linear dimensions viewable in said digital image;

detecting, on a computer, said reference object in said digital image utilizing at least one of color, edge or shape detection;

determining, on a computer, pixel dimensions of said standard reference object based on said one or more known reference object dimensions and calculating a calibration factor therefrom using said one or more known linear dimensions;

communicating at least one of a reference object feature identification and a primary object feature identification between an end user and at least one of a service provider, designer and fabricator after capture of said digital image for aiding in detection of a reference object and/or confirming a primary object constraint dimension;

calculating, on a computer, a planar constraint dimension from said digital image in accordance with said calibration factor; and

wherein said digital image is obtained substantially within a projection of said primary object.

18. The method according to claim 17, wherein the shared object feature includes at least one of orientation, location, color and dimension.

19. The method according to claim 18, wherein the dimension is confirmed by one or more manual measurements obtained by the end user.

20. The method according to claim 18, wherein a manual measurement dimension is confirmed by the service provider based on one or more computer generated estimates.