CN220454517U - Machine vision displacement measurement passive target with coding and checking functions - Google Patents
Machine vision displacement measurement passive target with coding and checking functions Download PDFInfo
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- CN220454517U CN220454517U CN202322361611.6U CN202322361611U CN220454517U CN 220454517 U CN220454517 U CN 220454517U CN 202322361611 U CN202322361611 U CN 202322361611U CN 220454517 U CN220454517 U CN 220454517U
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- 238000006073 displacement reaction Methods 0.000 title claims abstract description 20
- 238000005259 measurement Methods 0.000 title claims abstract description 15
- 108091026890 Coding region Proteins 0.000 claims abstract description 28
- 239000012528 membrane Substances 0.000 claims abstract description 25
- 239000000758 substrate Substances 0.000 claims abstract description 17
- 108700026244 Open Reading Frames Proteins 0.000 claims abstract description 7
- 230000002093 peripheral effect Effects 0.000 claims abstract description 7
- 238000012795 verification Methods 0.000 claims description 9
- 230000000873 masking effect Effects 0.000 claims description 5
- 238000003384 imaging method Methods 0.000 abstract description 8
- 230000007547 defect Effects 0.000 abstract description 4
- 238000000034 method Methods 0.000 abstract description 2
- 230000008569 process Effects 0.000 abstract description 2
- 238000004364 calculation method Methods 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 4
- 238000012937 correction Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 206010063659 Aversion Diseases 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
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Abstract
The utility model discloses a machine vision displacement measurement passive target with coding and checking functions, relates to the technical field of machine vision targets, and solves the problems that the traditional machine vision target is difficult to process and is easily influenced by single pattern imaging defects when the similar targets in an imaging picture are subjected to staggered displacement, so that data precision is reduced and data fluctuation is caused, and the technical scheme is as follows: comprising the following steps: the base plate is used for being fixed with the part to be detected; the reflective membrane is fixed on the surface of the substrate; and a panel fixed on the surface of the reflective membrane; the panel comprises a peripheral coding region and an internal concentric multi-pattern region, wherein the coding region comprises an identification point position and a plurality of reflective coding regions, the reflective coding regions are used for being matched with the covering membrane to realize coding, and the concentric multi-pattern region comprises a plurality of concentric patterns which are not overlapped with each other and used for checking the position of the center; the above problem is solved by providing multiple concentric patterns and peripheral coding regions.
Description
Technical Field
The utility model relates to the technical field of machine vision targets, in particular to a passive target with coding and checking functions for measuring machine vision displacement.
Background
With the continuous development of machine vision technology and artificial intelligence algorithm, the machine vision measurement technology has become available more and more, and has the advantages of high speed and synchronous multi-measuring point.
Conventional machine vision targets often employ circular or square reflective diaphragms as passive targets, and calculate target centroids to obtain target center coordinates by target patterns collected by a machine vision system for calculating relative position changes between targets. The traditional target mode needs artificial frame selection targets, and the similar targets in an imaging picture are difficult to process under the condition of staggered displacement, and meanwhile, single-form target patterns are easily affected by imaging defects during centroid calculation, so that data precision is reduced and data fluctuation is caused.
Therefore, the inventor provides a passive target with coding and checking functions for measuring machine vision displacement, and solves the problems.
Disclosure of Invention
The technical problem that this application will solve is that traditional machine vision target is difficult to handle, is easily influenced by single pattern imaging defect to the similar target condition of taking place to stagger the aversion in the imaging picture, causes data precision to reduce and data fluctuation, and aim at provides a take the machine vision displacement measurement passive target of coding and check-up function, solves above-mentioned problem through setting up many concentric pattern and peripheral coding district.
The application is realized by the following technical scheme:
a machine vision displacement measurement passive target with coding and verification functions, comprising:
the base plate is used for being fixed with the part to be detected;
the reflective membrane is fixed on the surface of the substrate; and
the panel is fixed on the surface of the reflective membrane;
the panel comprises a peripheral coding region and an internal concentric multi-pattern region, the coding region comprises a marking point location and a plurality of reflective coding regions, the reflective coding regions are used for realizing coding by being matched with a covering membrane, and the concentric multi-pattern region comprises a plurality of concentric patterns which are not overlapped with each other and used for checking the position of a center.
By adopting the technical scheme, the concentric multi-pattern area is arranged on the panel, the centroid calculation can be carried out for a plurality of times through a plurality of concentric patterns, the positions of the centers are mutually checked, the measurement error caused by single pattern distortion can be effectively avoided, and the precision is improved; the panel is also provided with a coding region, and 0 and 1 binary codes are realized through selective reflection, so that the management of targets is realized.
In one possible implementation, the concentric multi-pattern region includes a circular ring region, a square region of a shape of a circle, and a square region of a center, with the centers of the three regions being co-located.
In one possible implementation, the square-shaped area is arranged horizontally, the center square area is arranged rotated 45 degrees, and the diagonal of the center square area is orthogonal to the sides of the square-shaped area.
In one possible implementation manner, the coding region is composed of 8 reflective coding regions and 1 identification point location, and is used for reading the state of each reflective coding region from the identification point location to form an 8-bit binary number, namely the binary code of the target.
In one possible implementation, the retroreflective coding region is controlled by a pre-installed black masking film.
In one possible implementation, the panel is frosted and black matte surface treated.
In one possible implementation manner, the panel is fixed on the substrate through an M3 screw, and an M6 screw hole is arranged on the substrate and is used for being fixed with a part to be tested.
In one possible implementation, the reflective membrane is made of an elli or 3M reflective sheet.
In one possible implementation, the reflective membrane and the panel are fixed in sequence on one side of the substrate.
In one possible implementation, the reflective membrane and the panel are fixed on two sides of the substrate in sequence.
Compared with the prior art, the application has the following beneficial effects: by setting the coding region, the machine vision can automatically identify each target code, and the target number identification and grouping management can be realized; by arranging the concentric multi-pattern area, mutual verification of a plurality of pattern measurement values on 1 target can be realized, and the measurement accuracy of the system can be improved; target pattern distortion correction can be achieved by setting orthogonal and symmetrical patterns.
Drawings
The accompanying drawings, which are included to provide a further understanding of embodiments of the utility model and are incorporated in and constitute a part of this application, illustrate embodiments of the utility model and together with the description serve to explain the principle of the utility model. In the drawings:
fig. 1 is a schematic structural diagram of a single-sided target provided by the present utility model;
FIG. 2 is a schematic structural view of a panel according to the present utility model;
fig. 3 is a schematic structural diagram of a double-sided target according to the present utility model.
In the drawings, the reference numerals and corresponding part names:
1. a substrate; 2. a reflective membrane; 3. a panel; 31. identifying point positions; 32. a reflective coding region; 33. and (5) concentric multi-pattern areas.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present utility model more apparent, the present utility model will be described in detail in one possible implementation thereof with reference to the examples and the accompanying drawings, the exemplary embodiments of the present utility model and the descriptions thereof are only for explaining the present utility model and are not limiting the present utility model.
It will be understood that when an element is referred to as being "mounted" or "disposed" on another element, it can be directly on the other element or be indirectly on the other element. When an element is referred to as being "connected to" another element, it can be directly or indirectly connected to the other element.
It is to be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are merely for convenience in describing and simplifying the description based on the orientation or positional relationship shown in the drawings, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus are not to be construed as limiting the utility model.
At present, the conventional machine vision target adopts a round or square reflective membrane 2 as a passive target, a central position is obtained through centroid calculation, and the problem that a single figure cannot correct the position and cannot be rapidly coded exists.
In view of the above, the present utility model provides a passive target for measuring machine vision displacement with coding and checking functions. The verification of the central position is realized through the concentric multi-pattern, so that the influence of imaging defects on a single pattern in centroid calculation is reduced; the peripheral coding region is matched with the covering membrane to realize quick coding. The following description is made with reference to the accompanying drawings.
Referring to fig. 2-3, the present utility model provides a passive target for measuring machine vision displacement with coding and checking functions, comprising: the substrate 1 is used for being fixed with a part to be measured; the reflective membrane 2 is fixed on the surface of the substrate 1; and a panel 3 fixed to the surface of the reflective film 2; wherein, the panel 3 includes a peripheral coding region and an internal concentric multi-pattern region 33, the coding region includes a marking point location 31 and a plurality of reflective coding regions 32, the reflective coding regions 32 are used for realizing coding in cooperation with the covering membrane, and the concentric multi-pattern region 33 includes a plurality of concentric patterns which are not coincident with each other and are used for checking the center position.
Specifically, the substrate 1 is fixed on the position to be measured, moves along with the position to be measured, and realizes tracking of displacement condition of the position to be measured by calculating the center position of the substrate 1 through the centroid. The reflective membrane 2 is made of reflective material, is fixed on the surface of the substrate 1, and reflects light. The panel 3 covers the surface of the reflective membrane 2, and the panel 3 is provided with a coding area and a concentric multi-pattern area 33 in a hollowed-out manner, so that quick coding of machine vision and verification of the position of the computing center are facilitated.
It can be understood that the concentric multi-pattern area 33 is arranged on the panel 3, multiple centroid calculations can be performed through multiple concentric patterns, and the positions of the centers are mutually checked, so that measurement errors caused by single pattern distortion can be effectively avoided, and the precision is improved. The panel 3 is also provided with a coding region, and 0 and 1 binary codes are realized through selective reflection, so that the target management is realized.
Referring to fig. 2, fig. 2 is a schematic structural diagram of the panel 3. In one possible implementation, the concentric multi-pattern region 33 includes a circular ring region, a square region having a shape of a circle, and a square region having a center, and the centers of the three regions are concentric.
The circular ring region is a region composed of two concentric circles having different diameters, the square region having a circular shape is a region composed of two concentric squares having different side lengths, and the square region having a center is a region composed of one square. The circular ring area, the square area with the shape of a Chinese character 'Hui' and the square area with the center are all obtained by hollowing out the panel 3.
The arrangement of the patterns meets the characteristics of symmetry, mutual difference and mutual misalignment. The symmetrical concentric pattern is beneficial to symmetrically correcting the distortion pattern, and improves the accuracy of target imaging distortion correction. The mutually different concentric patterns are beneficial to machine vision to identify each pattern, and the mutually non-coincident concentric patterns are beneficial to calculating the center positions of the patterns.
In one possible implementation, the square-shaped area is arranged horizontally, the center square area is arranged rotated 45 degrees, and the diagonal of the center square area is orthogonal to the sides of the square-shaped area. The position relationship between the square area and the central square area is used to facilitate the identification of whether the graph has distortion.
Regarding the setting of the coding region, in one possible implementation, the coding region is composed of 8 reflective coding regions 32 and 1 identification point location 31, and is used for reading the state of each reflective coding region 32 from the identification point location 31, so as to form an 8-bit binary number, namely the binary code of the target.
Referring to fig. 2, the marking points are circular and are disposed at the upper left of the panel 3, and the reflective coding regions 32 are similar to triangles, two groups of which are disposed at four corners of the panel 3. The marking points and the reflective coding areas 32 are all obtained by hollowed-out processing of the panel 3. The state of each reflective coding area 32 is read clockwise or counterclockwise from the identification point 31 (for example, the reflective index is 1, and the non-reflective index is 0), so that an 8-bit binary number can be formed as the target binary code.
In one possible implementation, the retroreflective coding area 32 is controlled by a pre-installed black masking film. Such as by masking the retroreflective coded area 32 with a black masking film, the area not being retroreflective is marked as 0, such as the uncovered retroreflective coded area 32 being retroreflective is marked as 1.
In one possible implementation, the panel 3 is frosted and black matte surface treated. The coded areas and the concentric multi-pattern areas 33 on the panel 3 remain reflective and the remaining areas are frosted and black matte treated to not reflect light.
In one possible implementation manner, the panel 3 is fixed on the substrate 1 through an M3 screw, and an M6 screw hole is provided on the substrate 1 for fixing with a portion to be tested. The base plate 1 is L-shaped, M3 screw holes are formed in the periphery of a vertical surface and used for fixing the reflective membrane 2 and the panel 3, and M6 screw holes are formed in the horizontal surface of the bottom and used for being fixed with a part to be measured.
In one possible implementation, the reflective membrane 2 is made of an eri or 3M reflective sheet.
According to the actual use condition, the optional single face target of preparation, the one side of base plate 1 is fixed reflection of light diaphragm 2 and panel 3 in proper order. Please refer to fig. 1.
According to actual use, the optional two-sided target of preparation, reflective membrane 2 and panel 3 are fixed in proper order to the both sides of base plate 1. Please refer to fig. 3.
The target design of this scheme is through setting up the coding region for but each target code of machine vision automatic identification can realize target number discernment, grouping management. By providing concentric multi-pattern areas 33, a plurality of pattern measurements on 1 target can be verified against each other, improving system measurement accuracy. Target pattern distortion correction can be achieved by setting orthogonal and symmetrical patterns.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the utility model, and is not meant to limit the scope of the utility model, but to limit the utility model to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the utility model are intended to be included within the scope of the utility model.
Claims (10)
1. A passive target of machine vision displacement measurement of taking coding and verification function, characterized in that includes:
the base plate is used for being fixed with the part to be detected;
the reflective membrane is fixed on the surface of the substrate; and
the panel is fixed on the surface of the reflective membrane;
the panel comprises a peripheral coding region and an internal concentric multi-pattern region, wherein the coding region comprises a marking point position and a plurality of reflective coding regions, the reflective coding regions are used for realizing coding by being matched with a covering membrane, and the concentric multi-pattern region comprises a plurality of concentric patterns which are not overlapped with each other and used for checking the position of a center.
2. The machine vision displacement measurement passive target with coding and verification functions of claim 1, wherein the concentric multi-pattern area comprises a circular ring area, a square area and a square area, and the centroids of the three areas are in common.
3. A machine vision displacement measurement passive target with coding and verification functions according to claim 2, wherein the square-shaped areas are arranged horizontally, the central square-shaped areas are arranged rotated 45 degrees, and the diagonal of the central square-shaped areas is orthogonal to the sides of the square-shaped areas.
4. The passive target with coding and verification functions for measuring machine vision displacement according to claim 1, wherein the coding region consists of 8 reflective coding regions and 1 identification point location, and is used for reading the state of each reflective coding region from the identification point location to form an 8-bit binary number, namely the binary code of the target.
5. The passive target of claim 4, wherein the reflective coded area is controlled by a pre-installed black masking film to reflect light.
6. The passive target of claim 1, wherein the panel is frosted and black matte surface treated.
7. The passive target with coding and checking functions for measuring machine vision displacement according to claim 1, wherein the panel is fixed on the base plate through an M3 screw, and an M6 screw hole is formed in the base plate and used for fixing a part to be measured.
8. The passive target with coding and verification functions for measuring machine vision displacement according to claim 1, wherein the reflective membrane is made of an Airy or 3M reflective sheet.
9. The passive target for measuring machine vision displacement with coding and checking functions according to any one of claims 1-8, wherein the reflective membrane and the panel are fixed on one side of the substrate in sequence.
10. The passive target for measuring machine vision displacement with coding and checking functions according to any one of claims 1-8, wherein the reflective membrane and the panel are fixed on two sides of the substrate in sequence.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202322361611.6U CN220454517U (en) | 2023-08-30 | 2023-08-30 | Machine vision displacement measurement passive target with coding and checking functions |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202322361611.6U CN220454517U (en) | 2023-08-30 | 2023-08-30 | Machine vision displacement measurement passive target with coding and checking functions |
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| Publication Number | Publication Date |
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| CN220454517U true CN220454517U (en) | 2024-02-06 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202322361611.6U Active CN220454517U (en) | 2023-08-30 | 2023-08-30 | Machine vision displacement measurement passive target with coding and checking functions |
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| CN (1) | CN220454517U (en) |
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- 2023-08-30 CN CN202322361611.6U patent/CN220454517U/en active Active
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