Numerical controller for retraction control
US-2016147213-A1 · May 26, 2016 · US
US11740608B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11740608-B2 |
| Application number | US-202017133908-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 24, 2020 |
| Priority date | Dec 24, 2020 |
| Publication date | Aug 29, 2023 |
| Grant date | Aug 29, 2023 |
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A method may include projecting, onto a surface within a computer numerically controlled machine, a structured light having a known property. One or more sensors may generate an image of the structured light projected on the surface within the computer numerically controlled machine. One or more characteristics of the surface may be determined by comparing a property of the structured light shown in the image to the known property of the structured light. Examples of characteristics include a size, a distance to the surface, a height, a thickness, an angle of the surface, edges, surface properties, jigs, fiducial alignment markers, patterns encoding data, and visual designs on the surface of the material that are intended for reproductions. A surface map indicating the characteristics of the surface at various locations may be generated to enable, for example, a calibration, alignment, and/or optimization of the computer numerically controlled machine.
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What is claimed is: 1. A computer-implemented method, comprising: projecting, by one or more light sources, a known number and arrangement of light rays as a structured light pattern on a surface within a computer numerically controlled machine configured to deliver electromagnetic energy; receiving, from one or more sensors, image data representing the projected structured light pattern that includes one or more distortions caused by one or more characteristics of the surface at one or more locations on the surface; generating, based on the image data, an image of the projected structured light pattern that includes the one or more distortions; comparing the image of the projected structured light pattern that includes the one or more distortions to a reference image of an undistorted version of the structured light pattern; based on the comparison, identifying the one or more characteristics of the surface at the one or more locations on the surface, wherein the one or more locations on the surface corresponds to the known number and arrangement of light rays; and generating a surface map indicating the one or more characteristics of the surface at the one or more locations on the surface. 2. The method of claim 1 , wherein the structured light pattern comprises a visible light, and wherein the one or more sensors comprise a camera capable of capturing the visible light. 3. The method of claim 1 , wherein the structured light pattern comprises an infrared light, and wherein the one or more sensors comprise a camera capable of capturing a visible light and the infrared light. 4. The method of claim 1 , wherein the one or more characteristics include a size, a distance, a height, a thickness, an edge, an angle, an absorptivity of the surface, a presence of a jig, a pattern encoding data, visual designs on the surface of the material that are intended for reproduction, and/or a presence of a fiducial alignment marker. 5. The method of claim 1 , wherein the image of the projected structured light pattern captures an entirety of the surface within the computer numerically controlled machine and/or an entirety of the projected structured light pattern. 6. The method of claim 1 , wherein the surface comprises a surface of a material disposed within the computer numerically controlled machine. 7. The method of claim 6 , further comprising: generating, based at least on the image data representing the projected structured light pattern, a graphic user interface providing a preview of the surface of the material, the preview of the surface of the material identifying the one or more characteristics of the surface at the one or more locations on the surface of the material. 8. The method of claim 6 , wherein the image of the projected structured light pattern is a first image, the method further comprising: generating, based on the image data received from the one or more sensors, a second image of the surface of the material without the structured light pattern projected on the surface of the material; and generating, based at least on the second image, a graphic user interface providing a preview of the surface of the material. 9. The method of claim 6 , further comprising processing, based at least on the surface map, the material, wherein processing the material comprises delivering electromagnetic energy to affect one or more changes in the material. 10. The method of claim 9 , wherein the surface map is a first surface map, the method further comprising: generating a second surface map of the material subsequent to delivering electromagnetic energy to affect the one or more changes in the material. 11. The method of claim 10 , further comprising determining, based at least on the second surface map, whether the one or more changes are consistent with an intended final appearance of the material. 12. The method of claim 10 , further comprising determining, based at least on the second surface map, a variability in a power level of electromagnetic energy. 13. The method of claim 1 , wherein the surface comprises a surface of a component of the computer numerically controlled machine. 14. The method of claim 13 , further comprising determining, based at least on the surface map, one or more configurations of the computer numerically controlled machine including an addition and/or a removal of the component of the computer numerically controlled machine. 15. The method of claim 1 , wherein the one or more light sources comprises a non-laser light source. 16. The method of claim 1 , wherein the one or more light sources comprises a laser light source. 17. The method of claim 16 , wherein the laser light source comprises a Vertical-Cavity Surface Emitting Laser (VCSEL) array. 18. The method of claim 16 , wherein the laser light source comprises a source of electromagnetic energy, and wherein the structured light pattern is projected by the source of electromagnetic energy at a reduced power level such that electromagnetic energy delivered is incapable of altering an appearance of the surface. 19. The method of claim 18 , wherein the image of the projected structured light pattern comprises a first image of the structured light pattern projected by the source of electromagnetic energy operating at a first power level, and wherein a power of electromagnetic energy delivered by the source of electromagnetic energy operating at a higher power level is extrapolated based at least on the first image of the projected structured light pattern and a second image of the structured light pattern projected by the source of electromagnetic energy operating at a second power level. 20. The method of claim 19 , further comprising detecting, based at least on the first image, the second image, and a third image of the projected structured light pattern received at a different time than the first image and the second image, a loss in the power of electromagnetic energy. 21. The method of claim 1 , further comprising: adjusting, based at least on a proportion of electromagnetic energy absorbed by the surface, one or more of a power of electromagnetic energy, a focus of electromagnetic energy, a filter of the one or more sensors, an aperture of the one or more sensors, and a shutter speed of the one or more sensors. 22. The method of claim 1 , wherein the image of the projected structured light pattern is a first image, and wherein comparing the first image to the reference image of the undistorted version of the structured light pattern comprises determining a transform configured to generate, based at least on the first image, a second image matching the reference image of the undistorted version of the structured light pattern, and wherein the transform generates the second image by at least eliminating one or more distortions in the first image of the structured light pattern corresponding to one or more irregularities on the surface. 23. The method of claim 22 , wherein the surface map is generated based at least on the transform. 24. The method of claim 1 , further comprising: performing one or more calibrations to remove, from the image of the projected structured light pattern, one or more optical distortions associated with the one or more sensors, the one or more optical distortions including an optical distortion associated with the surface being disposed at a short distance from the one or more sensors. 25. A system, comprising: at
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