Mesh registration system and method for diagnosing tread wear

1. An automated tread analysis system, comprising:

a sensing system having:

a plurality of cameras providing a plurality of sequential two-dimensional images;

an analysis system configured to provide at least one surface model of a first object via photogrammetry using the plurality of sequential two-dimensional images, the first object having at least one pattern with at least two grooves and at least one protrusion; and,

a user system executing processing software operable to cause the user system to:

read data corresponding to the at least one surface model of the first object, the surface model corresponding to a current condition of the first object;

analyze the at least one surface model of the first object; and,

provide at least one indicative wear metric or reference scale metric based on the analysis of the surface model of the first object;

wherein the at least one surface model is oriented such that circumferential centerline of the first object is approximately symmetric to a YZ plane and top of the first object is approximately aligned with Z axis in a Cartesian coordinate system.

2. The automated tread analysis system of claim 1 , wherein the at least one indicative wear metric or reference scale metric is based on empirical or engineered dimensional relationships of a specific tire to construct a metric surface model from the at least one surface model of the first object.

3. The automated tread analysis system of claim 2 , wherein the metric surface model is constructed from at least one surface model of the first object using distance between grooves.

4. The automated tread analysis system of claim 3 , wherein the metric surface model is constructed from at least one surface model of the first object using distance between circumferential grooves.

5. The automated tread analysis system of claim 4 , wherein the metric surface model is constructed from at least one surface model of the first object using distance between circumferential outer grooves.

6. The automated tread analysis system of claim 5 , wherein the at least one wear metric includes circumferential wear.

7. The automated tread analysis system of claim 1 , wherein the at least one wear metric includes circumferential wear.

8. The automated tread analysis system of claim 7 , wherein the first object is a tire and the processing software executed by the user system further analyzes circumferential wear providing at least one report identifying repeating circumferential wear of the tire.

9. The automated tread analysis system of claim 7 , wherein the first object is a tire and the processing software executed by the user system further analyzes circumferential wear providing at least one report identifying non-repeating circumferential wear of the tire.

10. The automated tread analysis system of claim 7 , wherein the first object is a tire having a swath and wherein providing circumferential wear further includes identifying at least one plane in the ZY axis of the swath and determining distance of the at least one plane from intersection of the X axis to surface of the swath.

11. A method, comprising:

providing at least one surface model of a tire via photogrammetry using a plurality of sequential two-dimensional images, the tire having a crown and at least one pattern with at least two grooves and at least one protrusion;

receiving data corresponding to the at least one surface model of the tire, the surface model corresponding to a current condition of the tire;

analyzing the at least one surface model of the tire; and,

providing circumferential wear analysis based on the at least one surface model of the tire;

wherein the at least one surface model is oriented such that circumferential centerline of the tire is approximately symmetric to a YZ plane and the crown is approximately aligned with Z axis in a Cartesian coordinate system.

12. The method of claim 11 , wherein analyzing the at least one surface model of the tire, further includes:

analyzing empirical or engineered dimensional relationships of a specific tire to construct a metric surface model from the at least one surface model of the tire wherein the metric surface model is constructed from at least one surface model of the tire using distance between grooves.

13. The method of claim 11 , further comprising the step of analyzing circumferential wear of the tire to provide at least one report identifying repeating circumferential wear of the tire.

14. The method of claim 11 , further comprising the step of analyzing circumferential wear providing at least one report identifying non-repeating circumferential wear of the tire.

15. An automated tread analysis system, comprising:

a sensing system having:

a plurality of cameras providing a plurality of sequential two-dimensional images;

an analysis system configured to provide at least one surface model of an object via photogrammetry using the plurality of sequential two-dimensional images, the object having at least one pattern with at least one groove and at least one protrusion; and,

a user system and executing processing software reading:

data corresponding to the at least one surface model of the object, the surface model corresponding to a current condition of the object;

analyzing the at least one surface model of the object to determine a plurality of sampling locations within the at least one groove;

determining orientation and width of the at least one groove; and,

providing groove depth of the at least one groove using the orientation and width of the at least one groove.

16. The automated analysis system of claim 15 , wherein providing groove depth further includes clipping at least one region of the groove, positioning a plane resting on each side defining the groove, and determining minimum distance between the plane and surface of the groove.

17. The automated analysis system of claim 16 , wherein a line representing tread depth gauge probe may have a first end and a second end, the first end positioned at center of the plane and the second end intersecting the surface of the groove, wherein distance of the line from the first end to the second end is depth of the groove.

18. The automated analysis system of claim 17 , wherein maximum depth of the groove is determined from analysis of multiple distance lines.