CN111351441A - Vision-based thickness measurement device and method - Google Patents
Vision-based thickness measurement device and method Download PDFInfo
- Publication number
- CN111351441A CN111351441A CN201811590780.4A CN201811590780A CN111351441A CN 111351441 A CN111351441 A CN 111351441A CN 201811590780 A CN201811590780 A CN 201811590780A CN 111351441 A CN111351441 A CN 111351441A
- Authority
- CN
- China
- Prior art keywords
- bar
- light sources
- thickness measurement
- image
- detected object
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/06—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness for measuring thickness ; e.g. of sheet material
Abstract
Vision-based thickness measurement apparatus and methods are disclosed. The thickness measuring device comprises a thickness measuring sensor, a first image acquisition device, a second image acquisition device and a second strip light source, wherein the two first strip light sources and the first image acquisition device are positioned on one side of a reference plane, and the two second strip light sources and the second image detection device are positioned on the other side of the reference plane; and an image processing unit which receives the image from the image pickup device and obtains the thickness of the detected object from the image, wherein the image processing unit determines the distance between the image pickup device and the detected object from the bar patterns of one side and the other side of the detected object, and obtains the thickness of the detected object by subtracting the distance from the distance between the two image pickup devices. The thickness measuring method includes moving an object to be detected along a reference plane; emitting strip-shaped light rays towards two sides of the detected object; capturing bar patterns on two sides of a detected object; and determining the thickness of the detected object according to the bar pattern.
Description
Technical Field
The invention relates to the field of thickness measurement, in particular to a thickness measurement method and device based on vision.
Background
The measurement of the thickness of the workpiece is largely classified into contact and non-contact measurement. In the current measurement, the thickness is basically acquired at a certain measurement point, and it is difficult to acquire the thickness distribution in a large measurement area. Meanwhile, in the current non-contact measurement method, there is also a measurement deviation due to the vibration of the object to be detected itself. Therefore, there is a high demand for an apparatus and method that can acquire a thickness distribution in a large measurement area.
Disclosure of Invention
The present invention has been made to overcome the above-mentioned problems, and other technical problems that have yet to be resolved.
It is an object of the present invention to provide a vision-based thickness measuring apparatus and method that can acquire a thickness distribution in a large measurement area, i.e., a thickness of one curved surface area can be acquired in a single measurement.
Another object of the present invention is to provide a vision-based thickness measuring apparatus and method capable of measuring the thickness of the entire workpiece with high accuracy and having characteristics of interference resistance and vibration resistance.
It is still another object of the present invention to provide a vision-based thickness measuring apparatus and method capable of detecting a pocket, a pit, and a size deviation in a workpiece according to analysis of 3D surface information from detecting a 3D thickness of an entire workpiece.
According to an aspect of the present invention, there is provided a vision-based thickness measuring apparatus, comprising:
a thickness measuring sensor including two first bar-shaped light sources and one first image pickup device located at one side of a virtual reference plane, and two second bar-shaped light sources and one second image detection device located at an opposite side of the reference plane, wherein the two first bar-shaped light sources emit bar-shaped light to one side of the reference plane at predetermined first and second inclination angles with respect to a plane perpendicular to the reference plane, respectively, the two second bar-shaped light sources emit bar-shaped light to the other side of the reference plane at predetermined third and fourth inclination angles with respect to the plane perpendicular to the reference plane, the first image pickup device is located between the two first bar-shaped light sources to capture an image of one side of the reference plane, and the second image pickup device is located between the two second bar-shaped light sources to capture the image of one side of the reference plane An image of the other side of the face; and
an image processing unit which receives the images from the first image acquisition device and the second image acquisition device and obtains the thickness of the detected object according to the images,
when the detected object moves through the thickness measuring sensor along the direction of the reference plane, the strip light rays of the two first strip light sources form a first strip pattern on one side of the detected object, and the strip light rays of the two second strip light sources form a second strip pattern on the other side of the detected object;
wherein the image processing unit determines a first distance between the first image pickup device and the one side of the detected object and a second distance between the second image pickup device and the other side of the detected object from the first bar pattern and the second bar pattern, and obtains the thickness of the detected object by subtracting the first distance and the second distance from the distance between the first image pickup device and the second image pickup device.
Preferably, the first and second inclination angles are the same, and the third and fourth inclination angles are the same. Further preferably, the first, second, third and fourth inclination angles are the same.
Preferably, at least two of the first, second, third and fourth tilt angles are different. That is, the light emission angle of each strip light source with respect to the reference plane or the above-mentioned plane perpendicular to the reference plane may be different from that of the other strip light sources.
Preferably, the first stripe light source and the second stripe light source are a multi-stripe light source to improve the applicability of thickness measurement.
Preferably, a plurality of the thickness measurement sensors are provided, the plurality of thickness measurement sensors being arranged in parallel on both sides of the reference plane such that the emitted strip light rays of the plurality of thickness measurement sensors are parallel to each other.
Preferably, a plurality of the thickness measurement sensors are provided, the plurality of thickness measurement sensors being arranged at an angle to each other so that the plurality of thickness measurement sensors can simultaneously detect the thicknesses of a plurality of surfaces of the detected object.
Preferably, a plurality of the thickness measurement sensors are provided, the plurality of thickness measurement sensors being arranged in a matrix form in a plurality of directions.
Preferably, the two first bar light sources emit light of different colors, respectively, and the two second bar light sources emit light of different colors, respectively.
Preferably, the intersection points of the bar light rays of the two first bar light sources coincide with the intersection points of the bar light rays of the two second bar light sources.
Preferably, the intersection points of the bar-shaped light rays of the two first bar-shaped light sources and the intersection points of the bar-shaped light rays of the two second bar-shaped light sources are spaced apart from each other by a designated distance.
Preferably, the thickness measuring sensor is mounted on a support, and a temperature compensation unit is provided on the support, wherein the image processing unit receives a compensation value from the temperature compensation unit to determine the thickness of the detected object.
Preferably, the first bar pattern includes two light patterns formed by the two first bar light sources, the second bar pattern includes two light patterns formed by the two second bar light sources, and the image processing unit determines a first distance between the first image capturing device and the one side of the detected object and a second distance between the second image capturing device and the other side of the detected object according to a distance between the two light patterns of the first bar pattern and a distance between the two light patterns of the second bar pattern, respectively.
According to another aspect of the present invention, there is provided a vision-based thickness measuring method, including:
moving the detected object along a virtual reference plane;
emitting, with the movement of the detected object, a bar light toward one side of the detected object at predetermined first and second inclination angles with respect to a plane perpendicular to the reference plane using two first bar light sources located on one side of the reference plane, while emitting a bar light toward the other side of the detected object at predetermined third and fourth inclination angles with respect to the plane perpendicular to the reference plane using two second bar light sources located on the other side of the reference plane;
capturing a first bar pattern of one side of the detected object with a first image capturing device located at one side of the reference plane, and capturing a second bar pattern of the other side of the detected object with a second image capturing device located at the other side of the reference plane; and
and determining a first distance between the first image acquisition device and one side of the detected object and a second distance between the second image acquisition device and the other side of the detected object according to the first bar-shaped pattern and the second bar-shaped pattern, and obtaining the thickness of the detected object by subtracting the first distance and the second distance from the distance between the first image acquisition device and the second image acquisition device.
Preferably, the first and second inclination angles are the same, and the third and fourth inclination angles are the same. Further preferably, the first, second, third and fourth inclination angles are the same.
Preferably, at least two of the first, second, third and fourth tilt angles are different.
Preferably, the first and second stripe light sources are multiple stripe light sources.
Preferably, a plurality of pairs of the two first strip light sources arranged in parallel are used for emitting strip light towards one side of the detected object, and a plurality of pairs of the two second strip light sources arranged in parallel are used for emitting strip light towards the other side of the detected object; and capturing a first bar pattern of one side of the detected object with a plurality of the first image pickup devices corresponding to a plurality of pairs of the two first bar light sources arranged in parallel, and capturing a second bar pattern of the other side of the detected object with a plurality of the second image pickup devices corresponding to a plurality of pairs of the two second bar light sources arranged in parallel.
Preferably, a plurality of pairs of the two first strip-shaped light sources arranged at angles are used for emitting strip-shaped light rays towards a plurality of surfaces of the detected object, and a plurality of pairs of the two second strip-shaped light sources arranged at angles are used for emitting strip-shaped light rays towards a plurality of opposite surfaces of the detected object; and capturing a first bar pattern of a plurality of surfaces of the detected object with a plurality of the first image capturing devices corresponding to a plurality of pairs of the two first bar light sources arranged at an angle, and capturing a second bar pattern of a plurality of opposite surfaces of the detected object with a plurality of the second image capturing devices corresponding to a plurality of pairs of the two second bar light sources arranged at an angle.
Preferably, after the first and second bar patterns are captured, the first and second bar patterns are first matched according to time.
Preferably, a first distance between the first image capturing device and the one side of the detected object and a second distance between the second image capturing device and the other side of the detected object are determined according to a distance between two light patterns in the first bar pattern and a distance between two light patterns in the second bar pattern.
Preferably, a database of correspondences between the first and second distances and the first and second bar patterns is stored in advance.
Preferably, a compensation value is received from a temperature compensation unit to perform data compensation on the detected thickness of the detected object.
Preferably, the first image pickup device and the second image pickup device capture images at predetermined time intervals and transmit the acquired image data to an image processing unit.
Preferably, the two first bar light sources emit light of different colors, respectively, and the two second bar light sources emit light of different colors, respectively.
Drawings
The accompanying drawings illustrate preferred embodiments of the present disclosure, and together with the foregoing disclosure serve to provide a further understanding of the technical spirit of the disclosure. However, the disclosure should not be construed as being limited to the embodiments illustrated in the figures.
In the drawings:
fig. 1 is an exemplary schematic diagram of a vision-based thickness measuring apparatus according to a first embodiment of the present invention.
Fig. 2 is an oblique perspective view of the thickness measuring apparatus shown in fig. 1.
Fig. 3 schematically shows a stripe-shaped light pattern formed on the left side surface of the detected object.
Fig. 4 is a flow chart of a thickness measurement method according to the present invention.
Fig. 5 is an oblique perspective view of a thickness measuring apparatus according to a second embodiment of the present invention.
Fig. 6 is a schematic view of a thickness measuring apparatus according to a third embodiment of the present invention.
Detailed Description
Hereinafter, preferred embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. Before the description, it should be understood that the terms used in the present specification and the appended claims should not be construed as limited to general and dictionary meanings, but interpreted based on the meanings and concepts corresponding to technical aspects of the present disclosure on the basis of the principle that the inventor is allowed to define terms appropriately for the best explanation.
Further, the description proposed herein is just a preferable example for the purpose of illustrations only, not intended to limit the scope of the disclosure, so it should be understood that other equivalents and modifications may be made thereto without departing from the spirit and scope of the disclosure at the time of filing this application.
Fig. 1 is an exemplary schematic view of a vision-based thickness measuring apparatus according to a first embodiment of the present invention, and fig. 2 is an oblique perspective view of the thickness measuring apparatus shown in fig. 1. The thickness measuring apparatus according to the present invention may include a thickness measuring sensor and an image processing unit. Referring to fig. 1, a first left light source 10R, a second left light source 10G, a left image pickup device 10C, a first right light source 20R, a second right light source 20G, and a right image pickup device 20C. The light sources are respectively strip light sources. Preferably, the light source is a laser light source. The image acquisition device may be a camera. However, the present invention is not limited thereto.
According to the embodiment shown in fig. 1 and 2, the detected object 100 is exemplarily shown to be substantially plate-shaped, but the detected object 100 may be in various shapes. The plane in which the detected object 100 is located can be regarded as a virtual reference plane. The first left light source 10R and the second left light source 10G are arranged on the left side of the reference plane. The first left light source 10R and the second left light source 10G emit the strip light to one side of the reference plane at predetermined first and second inclination angles with respect to a vertical plane perpendicular to the reference plane. The first and second tilt angles may be the same or different. Preferably, the first left light source 10R and the second left light source 10G emit different color light. In the first embodiment, the first left light source 10R emits red light, and the second left light source 10G emits green light. Preferably, the stripe-shaped light rays of the first left light source 10R and the second left light source 10G are parallel to each other in the longitudinal direction, that is, when the stripe-shaped light rays of the first left light source 10R and the second left light source 10G are emitted to the reference plane, the stripe-shaped light ray patterns are parallel or coincident. The left image pickup device 10C is disposed between the first left light source 10R and the second left light source 10G, and is preferably located at a central position therebetween. Preferably, the left image capturing device 10C captures an image directly to the left of the reference plane.
Preferably, the first left light source 10R, the second left light source 10G and the left image pickup device 10C are fixedly provided on the left bracket. A temperature compensation unit is provided on the left bracket to eliminate errors due to temperature when measuring the thickness.
Similarly, the first right side light source 20R and the second right side light source 20G are arranged on the right side of the reference plane. The first right light source 20R and the second right light source 20G emit the bar-shaped light rays to the other side of the reference plane at predetermined third and fourth inclination angles, respectively, with respect to the above-mentioned plane perpendicular to the reference plane, and the intersection of the bar-shaped light rays of the first right light source 20R and the second right light source 20G and the intersection of the bar-shaped light rays of the first left light source 10R and the second left light source 10G are located in the same plane. Preferably, the predetermined inclination angles of the first and second right side light sources 20R and 20G are the same as the first and second left side light sources 10R and 10G. However, the present invention is not limited thereto, and for example, the predetermined inclination angles of the first and second right side light sources 20R and 20G may be different from the first and second left side light sources 10R and 10G. Likewise, the third and fourth oblique angles may be the same or different, and the first and second right light sources 20R and 20G emit light rays of different colors. In the first embodiment, the first right light source 20R emits red light, and the second right light source 20G emits green light. Preferably, the bar-shaped light rays of the first right side light source 20R and the second right side light source 20G are parallel to each other in the longitudinal direction, and are also parallel to the bar-shaped light rays of the first left side light source 10R and the second left side light source 10G in the longitudinal direction. The right image pickup device 20C is disposed between the first right light source 20R and the second right light source 20G, and is preferably located at a central position therebetween. Preferably, right image capture device 20C also captures images directly to the right of the reference plane.
Preferably, the first right light source 20R, the second right light source 20G and the right image pickup device 20C are fixedly provided on the right bracket. At this time, the distance between the left image pickup device 10C and the right image pickup device 20C is relatively fixed. A temperature compensation unit is also provided on the right bracket to eliminate errors due to temperature when measuring the thickness.
Referring to fig. 1, the intersection of the bar-shaped light rays of the first left light source 10R and the second left light source 10G coincides with the intersection of the bar-shaped light rays of the first right light source 20R and the second right light source 20G, that is, the first left light source 10R is disposed just opposite to the second right light source 20G, and the intersection of the second left light source 10G is disposed just opposite to the first right light source 20R. However, the present invention is not limited thereto. For example, the intersection points of the bar-shaped light rays of the first and second left light sources 10R and 10G may be spaced apart from the intersection points of the bar-shaped light rays of the first and second right light sources 20R and 20G by a distance corresponding to the general thickness of the detected object, as needed.
Referring to fig. 1, the first left light source 10R and the second left light source 10G emit strip-shaped light rays on the left surface S of the object 100 to be detectedaTwo bar patterns are formed on the substrate, and the distance between the two bar patterns is Da. The bar-shaped light beams emitted from the first right light source 20R and the second right light source 20G are on the right surface S of the detected object 100bTwo bar patterns are formed on the substrate, and the distance between the two bar patterns is Db. For example, fig. 3 schematically shows a stripe-shaped light pattern formed on the left side surface of the detected object. However, the present invention is not limited thereto, and for example, the stripe light source in the present application may be a multi stripe light source.
Preferably, since the two light sources on the left and right sides emit different color stripe light in the present application, the two stripe patterns formed on the detected object are different in color. The distance D can be accurately obtained by recognizing patterns of different colors through the image processing unitaAnd Db. The positions of the different color patterns that appear when the two bar-shaped light patterns are formed before and after the intersection are different. For example, D shown in FIG. 6b2The indicated positions are light patterns formed after the intersection, which are clearly different from the light patterns formed before the intersection. The invention adopts light rays with different colors, and can easily identify the difference of the distances.
Fig. 4 is a flow chart of a thickness measurement method according to the present invention. Hereinafter, a process of performing thickness measurement on an object to be inspected using the thickness measuring apparatus of the first embodiment of the present invention will be described with reference to fig. 4.
First, the object to be detected is moved into the detection area in the direction of the reference plane (S1). When an object is detected, the thickness measuring apparatus of the present invention starts detection (S2). At this time, the first left light source 10R and the second right light source 20G emit the strip light toward one side of the detected object 100 while the first right light source 20R and the second right light source 20G emit the strip light toward the other side of the detected object 100, and the left image pickup device 10C and the right image pickup device 20C synchronously capture the images of the left surface and the right surface of the detected object 100 (S3, S4). Preferably, the moving direction of the detected object 100 is perpendicular to the longitudinal direction of the strip light.
With the movement of the detected object, the left image pickup device 10C and the right image pickup device 20C capture images at predetermined time intervals, and transmit the acquired image data to the image processing unit (S5).
At the image processing unit, the distance D on the left image is obtained from the strip-shaped light patterns on the left and right imagesaAnd the distance D on the right imagebAnd matching the data of the left and right images according to time (S6).
Data D based on matched left and right imagesaAnd DbThe image processing unit may calculate the thickness of the detected object at the corresponding position (S7). In particular, the distance between the left and right image pickup devices 10C, 20C and the corresponding intersection of the bar light rays is specific, and the distance between the left image pickup device 10C and the right image pickup device 20C is specific. Thus, the distance D is obtained from the left imageaThe image processing unit can obtain the distance of the left surface of the detected object with respect to the left image pickup device 10C. Likewise, the distance D is obtained from the right imagebThe image processing unit can obtain the right side surface of the detected object relative toDistance of right image capture device 20C. By removing the distances of the left and right side surfaces of the detected object with respect to the left and right image capturing devices 10C and 20C from the distance between the left and right image capturing devices 10C and 20C, the thickness of the detected object at the predetermined position can be obtained.
When the detected object moves out of the detection area, the detection ends (S8).
Fig. 5 is an oblique perspective view of a thickness measuring apparatus according to a second embodiment of the present invention. For convenience, the same or equivalent components are denoted by the same reference numerals as those of the first embodiment in the second embodiment of the present invention, and detailed description thereof will be omitted.
The thickness measurement apparatus according to the second embodiment of the present invention may include a plurality of sets of thickness measurement sensors arranged in parallel. For example, two sets of thickness measurement sensors are included in fig. 5, i.e., a first set of thickness measurement sensors includes a first left light source 11R, a second left light source 11G, a left image capture device 11C, a first right light source 21R, a second right light source 21G, and a right image capture device 21C. The second set of thickness measurement sensors includes a first left light source 12R, a second left light source 12G, a left image capture device 12C, a first right light source 22R, a second right light source 22G, and a right image capture device 22C. However, the number of thickness measurement sensors may be more than two groups, as desired.
The first and second sets of thickness measurement sensors are configured similarly to the first embodiment in the arrangement and type of the thickness measurement sensors. Therefore, for the sake of simplicity, the specific configuration of the first and second sets of thickness measurement sensors will not be described in detail.
Unlike the first embodiment, since a plurality of sets of thickness measurement sensors are arranged in parallel, when a detection object of a large width is detected, thickness measurement of the entire detection object can be achieved using a narrow strip light source in a limited space. Therefore, the thickness measurement sensor of the present invention can be made more compact in structure.
Fig. 6 is a schematic view of a thickness measuring apparatus according to a third embodiment of the present invention. The thickness measuring apparatus according to the third embodiment of the present invention may include a plurality of sets of thickness measuring sensors arranged at an angle to each other. For example, two sets of thickness measurement sensors arranged perpendicular to each other are included in FIG. 6.
Referring to fig. 6, the object to be detected 100 has a vertically curved shape, i.e., a horizontal portion and a vertical portion. The first set of thickness measurement sensors includes a first left light source 13R, a second left light source 13G, a left image capture device 13C, a first right light source 23R, a second right light source 23G, and a right image capture device 23C. The second set of thickness measurement sensors includes a first upper light source 24R, a second upper light source 24G, an upper image capture device 24C, a first lower light source 23R, a second lower light source 23G, and a lower image capture device 23C. The first set of thickness measuring sensors is used to measure the thickness of the vertical portion of the inspected object 100, and the second set of thickness measuring sensors is used to measure the thickness of the horizontal portion of the inspected object 100.
However, the number and arrangement of the thickness measurement sensors may be different depending on the shape of the detected object. For example, the thickness measurement sensors may be arrayed in different directions so as to detect the thickness of the detected object with different accuracy in different directions.
Since the plurality of sets of thickness measurement sensors are arranged at an angle, the present invention can easily detect the thickness of a detected object having a plurality of planes.
Although the present invention has been described in connection with the above embodiments, it is apparent that the scope of the present invention is not limited to the above embodiments. Certain features of the above-described embodiments of the invention can be recombined to form new embodiments. Accordingly, those skilled in the art will appreciate that various modifications, additions and substitutions are possible, without departing from the scope and spirit of the invention as disclosed in the accompanying claims.
Claims (24)
1. A vision-based thickness measuring apparatus, comprising:
a thickness measuring sensor including two first bar-shaped light sources and one first image pickup device located at one side of a virtual reference plane, and two second bar-shaped light sources and one second image detection device located at an opposite side of the reference plane, wherein the two first bar-shaped light sources emit bar-shaped light to one side of the reference plane at predetermined first and second inclination angles with respect to a plane perpendicular to the reference plane, respectively, the two second bar-shaped light sources emit bar-shaped light to the other side of the reference plane at predetermined third and fourth inclination angles with respect to the plane perpendicular to the reference plane, the first image pickup device is located between the two first bar-shaped light sources to capture an image of one side of the reference plane, and the second image pickup device is located between the two second bar-shaped light sources to capture the image of one side of the reference plane An image of the other side of the face; and
an image processing unit which receives the images from the first image acquisition device and the second image acquisition device and obtains the thickness of the detected object according to the images,
when the detected object moves through the thickness measuring sensor along the direction of the reference plane, the strip light rays of the two first strip light sources form a first strip pattern on one side of the detected object, and the strip light rays of the two second strip light sources form a second strip pattern on the other side of the detected object;
wherein the image processing unit determines a first distance between the first image pickup device and the one side of the detected object and a second distance between the second image pickup device and the other side of the detected object from the first bar pattern and the second bar pattern, and obtains the thickness of the detected object by subtracting the first distance and the second distance from the distance between the first image pickup device and the second image pickup device.
2. The vision-based thickness measurement device of claim 1, wherein the first and second tilt angles are the same, and the third and fourth tilt angles are the same.
3. The vision-based thickness measurement apparatus of claim 1, wherein at least two of the first, second, third, and fourth tilt angles are different.
4. The vision-based thickness measurement apparatus of claim 1, wherein the first and second stripe light sources are multiple stripe light sources.
5. The vision-based thickness measurement apparatus according to claim 1, wherein a plurality of the thickness measurement sensors are provided, the plurality of thickness measurement sensors being arranged in parallel on both sides of the reference plane such that the emitted strip-shaped light rays of the plurality of thickness measurement sensors are parallel to each other.
6. The vision-based thickness measurement apparatus of claim 1, wherein a plurality of the thickness measurement sensors are provided, the plurality of thickness measurement sensors being arranged at an angle to each other such that the plurality of thickness measurement sensors can simultaneously detect the thickness of a plurality of surfaces of the inspected object.
7. The vision-based thickness measurement apparatus of claim 1, wherein a plurality of the thickness measurement sensors are provided, the plurality of thickness measurement sensors being arranged in a matrix form in a plurality of directions.
8. The vision-based thickness measurement device of any one of claims 1-7, wherein the two first bar light sources each emit light of a different color and the two second bar light sources each emit light of a different color.
9. The vision-based thickness measurement device of claim 8, wherein the intersection of the bar rays of the two first bar light sources coincides with the intersection of the bar rays of the two second bar light sources.
10. The vision-based thickness measurement apparatus of claim 8, wherein the intersection points of the bar light rays of the two first bar light sources and the intersection points of the bar light rays of the two second bar light sources are spaced apart from each other by a specified distance.
11. The vision-based thickness measurement device of any one of claims 1-7, wherein the thickness measurement sensor is mounted on a support and a temperature compensation unit is disposed on the support, wherein the image processing unit receives compensation values from the temperature compensation unit to determine the thickness of the inspected object.
12. The vision-based thickness measuring apparatus of any one of claims 1 to 7, wherein the first bar pattern includes two light patterns formed by the two first bar light sources, the second bar pattern includes two light patterns formed by the two second bar light sources, and the image processing unit determines a first distance between the first image capturing device and the one side of the detected object and a second distance between the second image capturing device and the other side of the detected object from a distance between the two light patterns of the first bar pattern and a distance between the two light patterns of the second bar pattern, respectively.
13. A vision-based thickness measurement method, comprising:
moving the detected object along a virtual reference plane;
emitting, with the movement of the detected object, a bar light toward one side of the detected object at predetermined first and second inclination angles with respect to a plane perpendicular to the reference plane using two first bar light sources located on one side of the reference plane, while emitting a bar light toward the other side of the detected object at predetermined third and fourth inclination angles with respect to the plane perpendicular to the reference plane using two second bar light sources located on the other side of the reference plane;
capturing a first bar pattern of one side of the detected object with a first image capturing device located at one side of the reference plane, and capturing a second bar pattern of the other side of the detected object with a second image capturing device located at the other side of the reference plane; and
and determining a first distance between the first image acquisition device and one side of the detected object and a second distance between the second image acquisition device and the other side of the detected object according to the first bar-shaped pattern and the second bar-shaped pattern, and obtaining the thickness of the detected object by subtracting the first distance and the second distance from the distance between the first image acquisition device and the second image acquisition device.
14. The vision-based thickness measurement method of claim 13, wherein the first and second tilt angles are the same, and the third and fourth tilt angles are the same.
15. The vision-based thickness measurement method of claim 13, wherein at least two of the first, second, third, and fourth tilt angles are different.
16. The vision-based thickness measurement apparatus of claim 13, wherein the first and second stripe light sources are multiple stripe light sources.
17. The vision-based thickness measurement method as claimed in claim 13, wherein a plurality of pairs of the two first bar light sources arranged in parallel are used to emit bar light toward one side of the inspected object, while a plurality of pairs of the two second bar light sources arranged in parallel are used to emit bar light toward the other side of the inspected object; and is
Capturing a first bar pattern of one side of the detected object with a plurality of the first image pickup devices corresponding to a plurality of pairs of the two first bar light sources arranged in parallel, and capturing a second bar pattern of the other side of the detected object with a plurality of the second image pickup devices corresponding to a plurality of pairs of the two second bar light sources arranged in parallel.
18. The vision-based thickness measurement method of claim 13, wherein a plurality of pairs of the two first bar light sources arranged at an angle are used to emit bar light rays toward a plurality of surfaces of the inspected object, and a plurality of pairs of the two second bar light sources arranged at an angle are used to emit bar light rays toward a plurality of opposite surfaces of the inspected object; and is
Capturing a first bar pattern of a plurality of surfaces of the inspected object with a plurality of the first image capturing devices corresponding to a plurality of pairs of the two first bar light sources arranged at an angle, and capturing a second bar pattern of a plurality of opposite surfaces of the inspected object with a plurality of the second image capturing devices corresponding to a plurality of pairs of the two second bar light sources arranged at an angle.
19. The vision-based thickness measurement method of any one of claims 13-18, wherein after capturing the first and second bar patterns, the first and second bar patterns are first matched as a function of time.
20. The vision-based thickness measurement method of any one of claims 13-18, wherein a first distance between the first image capture device and the one side of the inspected object and a second distance between the second image capture device and the other side of the inspected object are determined according to a distance between two light patterns of the first bar pattern and a distance between two light patterns of the second bar pattern.
21. The vision-based thickness measurement method of claim 20, wherein a database of correspondences between the first and second distances and the first and second bar patterns is pre-stored.
22. The vision-based thickness measurement method of any one of claims 13-18, wherein a compensation value is received from a temperature compensation unit to perform data compensation on the detected thickness of the inspected object.
23. The vision-based thickness measurement method of any one of claims 13-18, wherein the first image capture device and the second image capture device capture images at predetermined time intervals and transmit the acquired image data to an image processing unit.
24. The vision-based thickness measurement method of any one of claims 13-18, wherein the two first bar light sources each emit light of a different color and the two second bar light sources each emit light of a different color.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811590780.4A CN111351441A (en) | 2018-12-20 | 2018-12-20 | Vision-based thickness measurement device and method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811590780.4A CN111351441A (en) | 2018-12-20 | 2018-12-20 | Vision-based thickness measurement device and method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN111351441A true CN111351441A (en) | 2020-06-30 |
Family
ID=71195589
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811590780.4A Pending CN111351441A (en) | 2018-12-20 | 2018-12-20 | Vision-based thickness measurement device and method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111351441A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113532277A (en) * | 2021-09-13 | 2021-10-22 | 江苏中车数字科技有限公司 | Method and system for detecting plate-shaped irregular curved surface workpiece |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3619070A (en) * | 1967-05-05 | 1971-11-09 | Centre Nat Rech Metall | Method and apparatus for measuring thickness |
JPH09257437A (en) * | 1996-03-26 | 1997-10-03 | Matsushita Electric Works Ltd | Shape detection method for surface of object |
US20020082801A1 (en) * | 2000-12-27 | 2002-06-27 | Nikon Corporation | Shape measuring method, shape measuring unit, exposure method, exposure apparatus and device manufacturing method |
DE10328537A1 (en) * | 2003-06-24 | 2003-12-11 | Pixargus Gmbh | Metrology device comprises an optical arrangement for object dimension determination, whereby the object and the measurement device can be moved along an axis relative to each other and a light source and sensor are provided |
CN1942735A (en) * | 2004-04-19 | 2007-04-04 | 西克Ivp股份公司 | Measuring apparatus and method in a distribution system |
CN101825438A (en) * | 2010-05-26 | 2010-09-08 | 华中科技大学 | Laser measuring device for measuring thickness of plate |
US20140036096A1 (en) * | 2012-08-06 | 2014-02-06 | Axis Ab | Image sensor positioning apparatus and method |
WO2015062594A1 (en) * | 2013-10-28 | 2015-05-07 | Micro-Epsilon Messtechnik Gmbh & Co. Kg | Method for thickness measurement on measurement objects and device for applying the method |
EP2913631A1 (en) * | 2014-02-27 | 2015-09-02 | Ricoh Company, Ltd. | Test apparatus and method |
US20160169812A1 (en) * | 2014-12-15 | 2016-06-16 | Test Research, Inc. | Optical inspection system |
EP3217191A1 (en) * | 2016-03-08 | 2017-09-13 | Continental Automotive GmbH | Distance measuring apparatus and method for measuring a distance |
-
2018
- 2018-12-20 CN CN201811590780.4A patent/CN111351441A/en active Pending
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3619070A (en) * | 1967-05-05 | 1971-11-09 | Centre Nat Rech Metall | Method and apparatus for measuring thickness |
JPH09257437A (en) * | 1996-03-26 | 1997-10-03 | Matsushita Electric Works Ltd | Shape detection method for surface of object |
US20020082801A1 (en) * | 2000-12-27 | 2002-06-27 | Nikon Corporation | Shape measuring method, shape measuring unit, exposure method, exposure apparatus and device manufacturing method |
DE10328537A1 (en) * | 2003-06-24 | 2003-12-11 | Pixargus Gmbh | Metrology device comprises an optical arrangement for object dimension determination, whereby the object and the measurement device can be moved along an axis relative to each other and a light source and sensor are provided |
CN1942735A (en) * | 2004-04-19 | 2007-04-04 | 西克Ivp股份公司 | Measuring apparatus and method in a distribution system |
CN101825438A (en) * | 2010-05-26 | 2010-09-08 | 华中科技大学 | Laser measuring device for measuring thickness of plate |
US20140036096A1 (en) * | 2012-08-06 | 2014-02-06 | Axis Ab | Image sensor positioning apparatus and method |
WO2015062594A1 (en) * | 2013-10-28 | 2015-05-07 | Micro-Epsilon Messtechnik Gmbh & Co. Kg | Method for thickness measurement on measurement objects and device for applying the method |
EP2913631A1 (en) * | 2014-02-27 | 2015-09-02 | Ricoh Company, Ltd. | Test apparatus and method |
US20160169812A1 (en) * | 2014-12-15 | 2016-06-16 | Test Research, Inc. | Optical inspection system |
EP3217191A1 (en) * | 2016-03-08 | 2017-09-13 | Continental Automotive GmbH | Distance measuring apparatus and method for measuring a distance |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113532277A (en) * | 2021-09-13 | 2021-10-22 | 江苏中车数字科技有限公司 | Method and system for detecting plate-shaped irregular curved surface workpiece |
CN113532277B (en) * | 2021-09-13 | 2021-12-07 | 江苏中车数字科技有限公司 | Method and system for detecting plate-shaped irregular curved surface workpiece |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP1739391B1 (en) | Image obtaining apparatus | |
US9779561B1 (en) | Drive-through inspection system for a moving vehicle | |
US10240916B1 (en) | Method and apparatus for calibrating an inspection system for moving vehicles | |
KR102268151B1 (en) | Method for three-dimensional measurement of moving objects during known movement | |
EP3158731B1 (en) | System and method for adjusting a baseline of an imaging system with microlens array | |
KR102424135B1 (en) | Structured light matching of a set of curves from two cameras | |
US9799117B2 (en) | Method for processing data and apparatus thereof | |
KR101678602B1 (en) | Apparatus for inspecting material provided with coated surface and corresponding method | |
CN208863003U (en) | A kind of double patterning optics 3D size marking component and its system | |
US9746317B2 (en) | Image processing method and device | |
WO2000038494A2 (en) | Automatic inspection system with stereovision | |
KR20110092984A (en) | Apparatus for measuring linearity and flatness of rail | |
CN110596139A (en) | Screen defect detection method and system | |
JP2008209354A (en) | Calibration method and device, and automatic detection device | |
US9612106B2 (en) | Device and method for measuring the running gear of a motor vehicle | |
JP6030471B2 (en) | Shape measuring device | |
CN104321614B (en) | Method and apparatus for carrying out the process for the orientation of at least one rail that determines measuring station | |
US20170018071A1 (en) | Method and system for imaging a lumber board, method of calibrating an imaging system and calibration implement therefore | |
CN111351441A (en) | Vision-based thickness measurement device and method | |
US20210156881A1 (en) | Dynamic machine vision sensor (dmvs) that performs integrated 3d tracking | |
JP2017203744A (en) | Aircraft panel appearance inspection method | |
JP2008275366A (en) | Stereoscopic 3-d measurement system | |
EP3217191B1 (en) | Distance measuring apparatus and method for measuring a distance | |
KR101626089B1 (en) | Apparatus for correcting tilt of lens and method thereof | |
KR20170068071A (en) | Shape measuring apparatus and a shape measuring method using the same |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
AD01 | Patent right deemed abandoned |
Effective date of abandoning: 20230228 |
|
AD01 | Patent right deemed abandoned |