US2006070417A1PendingUtilityA1
Flatness monitor
Est. expiryJul 16, 2024(expired)· nominal 20-yr term from priority
G01N 21/8851B21B 38/02G01N 2021/8924G01B 11/306G01N 2021/8918G01N 21/89
38
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Claims
Abstract
A system method of monitoring flatness of a material. A beam of coherent light is projected on to a surface of the material to provide a line on the surface. An image of the line on the surface is obtained, and the image is used to determine a deviation of the line from a predetermined configuration. The deviation corresponds to an irregular pattern or unevenness of the material.
Claims
exact text as granted — not AI-modified1 . A method of measuring the conformity of a surface of a material to a known topography comprising the steps of projecting a beam of coherent radiation on to said surface of said material to provide a line on said surface, obtaining an image of said line, and determining a deviation of said line from a predetermined configuration to compute a degree of conformity.
2 . A method according to claim 1 wherein said method measures the flatness of said surface, and said degree of conformity is a degree of flatness.
3 . A method according to claim 1 wherein said line is scanned along said surface and a plurality of images are obtained at predetermined positions of said line.
4 . A method according to claim 3 wherein said beam is directed towards a mirror and reflected by said mirror onto said surface, and wherein rotation of said mirror scans said line along said surface.
5 . A method according to claim 2 wherein said material is steel and said degree of flatness is measured in I Units.
6 . A method according to claim 1 wherein prior to projecting said beam, a background image of said material is obtained, said-background image being subtracted from said image to remove ambient light noise from said image.
7 . A method according to claim 1 further comprising the step of applying a subpixel interpolation on said image prior to determining said deviation to determine the lateral extent of said line.
8 . A method according to claim 7 wherein said subpixel interpolation comprises subdividing pixels of said image based on the intensities of neighbouring pixels and determining an average intensity of said pixels based on said neighbouring pixels.
9 . A method according to claim 1 wherein deviation of said image is evaluated on the basis of the number of pixels traversed by said line.
10 . A method according to claim 9 wherein the number of pixels traversed by said line is measured from a centroid of said line.
11 . A method according to claim 10 wherein said centroid is measured by first locating a region of interest of said image containing said centroid.
12 . A method according to claim 9 wherein the number of pixels traversed by said line is converted to a unit of distance in one of millimetres and inches, based on a scaling factor determined by a calibration procedure executed prior to projecting said beam.
13 . A method according to claim 12 wherein said unit of distance is used to determine said degree of conformity.
14 . A method according to claim 13 wherein prior to determining said degree of conformity, said method further comprises a step of processing said image.
15 . A method according to claim 14 wherein said processing includes one or more of applying a median filter and smoothing.
16 . A method according to claim 3 further comprising the step of calculating the standard deviation of the line on each said image in said scan, wherein each said standard deviation is compared to a threshold, and if said threshold is exceeded, said image is not used in determining said degree of conformity.
17 . A method according to claim 16 further comprising the step of calculating a median degree of flatness from a collection of values of the degree of flatness obtained from each image in said scan.
18 . A method according to claim 1 further comprising a calibration procedure prior to projecting said beam.
19 . A method according to claim 18 wherein said calibration procedure comprises the steps of inserting a block of known dimensions at an intended location of said material; projecting said beam on to said block and an underlying surface along one of said dimensions; obtaining an image of said line; determining a deviation of said image from a predetermined configuration, said deviation altered according to the extend of said one of said dimensions and being evaluated on the basis of the number of pixels traversed by said line; and calculating a scale correlating pixels of said image to a standard unit of distance using said deviation and said one of said dimensions.
20 . A method according to claim 19 wherein said calibration procedure is repeated a plurality of times for a plurality of locations of said line as said line is scanned along said block.
21 . A method according to claim 19 wherein the number of pixels traversed by said line is measured from a centroid of said line.
22 . A method according to claim 21 wherein said centroid is measured by first locating a region of interest of said image containing said centroid.
23 . A method according to claim 20 wherein said one dimension is the height of said block.
24 . A method according to claim 23 wherein said scale at each location is mapped to a 2 nd order curve, said curve indicating said scale at each location.
25 . A method according to claim 20 wherein said one dimension is the width of said block.
26 . A method according to claim 25 wherein said scale at each location is mapped to a 1 st order curve.
27 . A system for measuring the conformity of a surface of a material to a known topography, said system comprising:
a coherent radiation source arranged to direct a beam of coherent radiation on to a surface of said material to provide a line on said surface; an imaging device for obtaining an image of said line; and a computing device having a processor to receive an input from said imaging device and process said image in order to determine a deviation of said line from a predetermined configuration.
28 . A system according to claim 27 wherein said system measures the flatness of said surface.
29 . A system according to claim 27 further comprising a table for supporting said material.
30 . A system according to claim 27 wherein said material is steel and said computing device uses said deviation to compute a degree of flatness measured in I Units.
31 . A system according to claim 27 wherein said imaging device is a camera.
32 . A system according to claim 31 wherein said camera is a smart camera and said computing device and said processor are operated by said smart camera.
33 . A system according to claim 27 wherein said beam is redirected towards a plurality of locations on said surface enabling said line to scan said material and said imaging device to obtain a plurality of images at predetermined positions of said line.
34 . A system according to claim 33 wherein said processor receives a plurality of images from said imaging device, each of said plurality of images being processed to determine said deviation of said line in each image, said deviations used to determine a representative deviation for said material.
35 . A system according to claim 33 further comprising a mirror for reflecting said beam onto said surface, said mirror being rotatable about an axis wherein rotation of said mirror scans said line along said surface.
36 . A system according to claim 35 further comprising a motor for rotating said mirror, said motor controlled by said computing device.
37 . A system according to claim 27 further comprising an interface connected to said computing device enabling an operator to view and interact with said image.
38 . A system according to claim 27 wherein said computing device is connected to an auxiliary interface enabling interaction between said system and an auxiliary entity.
39 . A system according to claim 38 wherein said auxiliary entity is a process control system.
40 . A system according to claim 39 wherein said process control system further comprises an interface enabling a user to view and interact with said image and said computing device.Join the waitlist — get patent alerts
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