CN114953788A - Registration deviation detection method and related equipment - Google Patents
Registration deviation detection method and related equipment Download PDFInfo
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- CN114953788A CN114953788A CN202210737455.6A CN202210737455A CN114953788A CN 114953788 A CN114953788 A CN 114953788A CN 202210737455 A CN202210737455 A CN 202210737455A CN 114953788 A CN114953788 A CN 114953788A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41J—TYPEWRITERS; SELECTIVE PRINTING MECHANISMS, i.e. MECHANISMS PRINTING OTHERWISE THAN FROM A FORME; CORRECTION OF TYPOGRAPHICAL ERRORS
- B41J29/00—Details of, or accessories for, typewriters or selective printing mechanisms not otherwise provided for
- B41J29/38—Drives, motors, controls or automatic cut-off devices for the entire printing mechanism
- B41J29/393—Devices for controlling or analysing the entire machine ; Controlling or analysing mechanical parameters involving printing of test patterns
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41J—TYPEWRITERS; SELECTIVE PRINTING MECHANISMS, i.e. MECHANISMS PRINTING OTHERWISE THAN FROM A FORME; CORRECTION OF TYPOGRAPHICAL ERRORS
- B41J25/00—Actions or mechanisms not otherwise provided for
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Abstract
The embodiment of the application discloses a registration deviation detection method and related equipment, which are used for calculating the movement deviation of a second spray head and controlling the second spray head to move so that the central point of a second registration identification element and the central point of a first registration identification element are on the same horizontal line. The method in the embodiment of the application comprises the following steps: the method comprises the steps of obtaining at least one pattern shot by at least one camera, determining a reference pattern in the at least one pattern, calculating a coordinate transformation matrix of the at least one pattern according to pattern correction elements of the reference pattern, calculating a movement offset of a second spray head relative to a first spray head according to a first alignment mark element, a second alignment mark element and the coordinate transformation matrix, and controlling the second spray head to move according to the movement offset so that a central point of the second alignment mark element printed by the second spray head and a central point of the first alignment mark element printed by the first spray head are on the same horizontal line.
Description
Technical Field
Embodiments of the present invention relate to a registration deviation detection method, and more particularly, to a registration deviation detection method, a registration accuracy detection apparatus, and a computer-readable storage medium.
Background
When a Single pass printing machine (Single pass printing machine) is used for printing, web change is frequent, the requirement on patterns printed on materials is high, and the materials need to be subjected to frequent overprinting, so that printing nozzles need to be subjected to XY-direction registration.
According to the traditional registration method, on the premise that the content quality of a printed matter is not influenced, overprint marks such as cat eyes, Chinese character lines or cross character lines are added at blank positions of a gripper edge or a dragging edge of the printed matter, a user estimates the relative distance of the overprint marks through naked eyes of a magnifying glass to obtain the movement offset of the spray head, and therefore the spray head is controlled to move according to the movement offset, and the central point of the overprint marks printed by the spray head is located on the same horizontal line.
However, this registration deviation detection method requires the user to participate and continuously estimate, which causes great injury to human eyes, and has low registration deviation detection efficiency, and the registration accuracy depends on the accuracy of user estimation, and is low.
Disclosure of Invention
The embodiment of the application provides a registration deviation detection method, registration precision detection equipment and a computer readable storage medium, which can calculate the movement deviation of a second spray head and control the second spray head to move so that the central point of a second registration mark element and the central point of a first registration mark element are on the same horizontal line.
In a first aspect, an embodiment of the present application provides a registration deviation detection method, including:
obtaining at least one pattern captured by at least one camera; the at least one camera is arranged among a plurality of groups of nozzles, the plurality of groups of nozzles are arranged from top to bottom, each group of nozzles comprises a first nozzle and a second nozzle, and each pattern comprises a pattern correction element and a first set of standard mark elements printed by the first nozzle and a second set of standard mark elements printed by the second nozzle;
determining a reference pattern in the at least one pattern, and calculating a coordinate transformation matrix of the at least one pattern according to pattern correction elements of the reference pattern;
calculating the movement offset of the second spray head relative to the first spray head according to the first set of standard mark elements, the second set of standard mark elements and the coordinate transformation matrix;
and controlling the second spray head to move according to the movement deviation so that the central point of the second standard mark element printed by the second spray head and the central point of the first standard mark element printed by the first spray head are on the same horizontal line.
Optionally, the shape of the pattern correction element is a cross, and the calculating a coordinate transformation matrix of the at least one pattern according to the pattern correction element of the reference pattern includes:
extracting a cross region of the image correction element;
carrying out binarization and denoising processing on the cross region;
determining the intersection point of the cross according to the two central lines in the cross area and the area surrounded by the two central lines;
and taking the intersection point as a rotation central point of the coordinate transformation matrix to calculate the coordinate transformation matrix.
Optionally, the calculating a movement deviation of the second nozzle relative to the first nozzle according to the first and second fiducial mark elements and the coordinate transformation matrix includes:
calculating the XY relative deviation between the second sprayer of the lower group and the first sprayer and the XY relative deviation between the second sprayer of the lower group and the first sprayer according to the first set of standard marking elements and the second set of standard marking elements;
calculating XY relative deviation between the first group of first spray heads and the next group of first spray heads according to the first set of standard mark elements and the coordinate transformation matrix;
and calculating the movement offset of the second sprayer relative to the first sprayer according to the XY relative deviation between the upper group of first sprayers and the lower group of first sprayers, the XY relative deviation between the upper group of second sprayers and the first sprayers and the XY relative deviation between the lower group of second sprayers and the first sprayers.
Optionally, the first registration mark elements of each pattern are N first patterns, which are uniformly arranged in an upper group and a lower group, respectively, and the second registration mark elements of each pattern are N second patterns, which are uniformly arranged in an upper group and a lower group, respectively, where N is greater than or equal to 1;
the calculating an XY relative deviation between the second showerhead and the first showerhead of the next group and an XY relative deviation between the second showerhead and the first showerhead of the next group according to the first and second set of identification elements includes:
calculating the central points of the first graph and the second graph of the upper group and the lower group according to a graph fitting algorithm respectively aiming at each pattern to obtain N first central points and N second central points of the upper group and the lower group;
respectively calculating the difference between the second central point and the first central point at the corresponding position aiming at the N first central points and the N second central points of each group to obtain N differences of the upper group and N differences of the lower group;
respectively carrying out average value processing on the N difference values of each group to obtain the average deviation of the upper group and the average deviation of the lower group;
taking the average deviation of the upper group as the XY relative deviation between the second spray head and the first spray head of the upper group;
and taking the average deviation of the lower group as the XY relative deviation between the second spray head and the first spray head of the lower group.
Optionally, the calculating the XY relative deviation between the upper group of first nozzles and the lower group of first nozzles according to the first registration mark elements and the coordinate transformation matrix includes:
fitting parallelograms according to the coordinate transformation matrix and the N first central points of each group to obtain an upper group of parallelograms and a lower group of parallelograms;
calculating the relative deviation between the central point of the diagonal line in the upper group of parallelograms and the central point of the diagonal line in the lower group of parallelograms to obtain the interclass relative deviation;
and subtracting a preset distance from the relative deviation among the groups to obtain the XY relative deviation between the upper group of first nozzles and the lower group of first nozzles.
Optionally, before calculating the relative deviation between the center point of the diagonal line in the upper set of parallelograms and the center point of the diagonal line in the lower set of parallelograms, the method further includes:
determining an adjacent set of parallelograms arranged adjacent to the upper set of parallelograms;
the calculating the relative deviation between the center point of the diagonal line in the upper group of parallelograms and the center point of the diagonal line in the lower group of parallelograms to obtain the inter-group relative deviation comprises:
calculating a first relative deviation between a center point of a diagonal line in the upper set of parallelograms and a center point of a diagonal line in the neighboring set of parallelograms;
calculating a second relative deviation between the center point of the diagonal line in the adjacent set of parallelograms and the center point of the diagonal line in the next set of parallelograms;
taking the sum of the first relative deviation and the second relative deviation as the inter-group relative deviation.
Optionally, the calculating the movement offset of the second nozzle relative to the first nozzle according to the XY relative deviation between the upper group of first nozzles and the lower group of first nozzles, the XY relative deviation between the upper group of second nozzles and the first nozzles, and the XY relative deviation between the lower group of second nozzles and the first nozzles includes:
taking the XY relative deviation between the second sprayer of the lower group and the first sprayer as the movement deviation of the second sprayer of the lower group;
and taking the sum of the XY relative deviation between the upper group of first spray heads and the lower group of first spray heads and the XY relative deviation between the upper group of second spray heads and the first spray heads as the movement deviation of the upper group of second spray heads.
In a second aspect, an embodiment of the present application provides a registration deviation detecting apparatus, including:
an obtaining unit for obtaining at least one pattern photographed by at least one camera; the at least one camera is arranged among a plurality of groups of nozzles, the plurality of groups of nozzles are arranged from top to bottom, each group of nozzles comprises a first nozzle and a second nozzle, and each pattern comprises a pattern correction element and a first set of standard mark elements printed by the first nozzle and a second set of standard mark elements printed by the second nozzle;
a calculation unit for determining a reference pattern among the at least one pattern, and calculating a coordinate transformation matrix of the at least one pattern from pattern correction elements of the reference pattern;
the calculation unit is further configured to calculate a movement offset of the second nozzle with respect to the first nozzle according to the first set of fiducial mark elements, the second set of fiducial mark elements, and the coordinate transformation matrix;
and the control unit is used for controlling the second spray head to move according to the movement deviation so that the central point of the second set of standard mark elements printed by the second spray head and the central point of the first set of standard mark elements printed by the first spray head are on the same horizontal line.
In a third aspect, an embodiment of the present application provides a registration deviation detecting apparatus, including:
the system comprises a central processing unit, a memory, an input/output interface, a wired or wireless network interface and a power supply;
the memory is a transient memory or a persistent memory;
the central processor is configured to communicate with the memory and execute the operations of the instructions in the memory to perform the aforementioned registration deviation detection method.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium comprising instructions that, when executed on a computer, cause the computer to perform the aforementioned registration deviation detection method.
In a fifth aspect, embodiments of the present application provide a computer program product comprising instructions that, when run on a computer, cause the computer to perform the aforementioned registration deviation detection method.
According to the technical scheme, the embodiment of the application has the following advantages: automatic registration can be realized through registration deviation detection equipment, a coordinate transformation matrix of at least one pattern can be automatically calculated according to pattern correction elements of the reference pattern, then the movement deviation of the second spray head relative to the first spray head is calculated according to the first registration identification elements, the second registration identification elements and the coordinate transformation matrix, the second spray head is controlled to move according to the movement deviation, the registration deviation detection efficiency is high, and the registration accuracy is high.
Drawings
Fig. 1 is a schematic diagram of an architecture of a registration deviation detecting system according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a registration deviation detection method according to an embodiment of the present disclosure;
FIG. 3 is a schematic view of a pattern disclosed in an embodiment of the present application;
FIG. 4 is a schematic flowchart of a method for calculating a movement offset of a second showerhead relative to a first showerhead according to an embodiment of the present disclosure;
FIG. 5 is a schematic flowchart illustrating a method for calculating the XY relative deviation between the second showerhead and the first showerhead according to an embodiment of the present disclosure;
FIG. 6 is a schematic flow chart illustrating a method for calculating XY relative deviations between a lower set of first showerheads and an upper set of first showerheads according to embodiments of the present disclosure;
FIG. 7 is a schematic flow chart illustrating another method for calculating the XY relative deviations between the upper set of first showerheads and the lower set of first showerheads disclosed in this application;
FIG. 8 is a schematic flowchart of a method for calculating a movement offset of a second showerhead relative to a first showerhead according to an embodiment of the present disclosure;
fig. 9 is a schematic diagram of a single camera for shooting according to an embodiment of the present disclosure;
FIG. 10 is a schematic diagram of a plurality of cameras for shooting according to an embodiment of the present disclosure;
FIG. 11 is a diagram illustrating a test result of digital printing apparatus fluctuation according to an embodiment of the present disclosure;
fig. 12 is a schematic structural diagram of a registration deviation detecting apparatus according to an embodiment of the present application;
fig. 13 is a schematic structural diagram of another registration deviation detecting apparatus disclosed in the embodiment of the present application.
Detailed Description
The embodiment of the application provides a registration deviation detection method, registration deviation detection equipment and a computer readable storage medium, which can calculate the movement deviation of a second spray head and control the second spray head to move so that the central point of a second registration mark element and the central point of a first registration mark element are on the same horizontal line.
Referring to fig. 1, an alignment deviation detecting system in the embodiment of the present application includes:
a registration deviation detecting device 101 and a camera 102 and a second head 103.
When the registration deviation detection is performed, the registration deviation detecting device 101 may be connected to the camera 102, and the registration deviation detecting device 101 may be connected to the second head 103. The registration deviation detecting apparatus 101 may obtain a pattern photographed by the camera 102, may calculate a movement deviation of the second ejection head 103, and may control the second ejection head 103 to move.
Referring to fig. 2, fig. 2 is a schematic flow chart of a registration deviation detecting method disclosed in an embodiment of the present application, where the registration deviation detecting system shown in fig. 1 includes:
201. obtaining at least one pattern captured by at least one camera; the at least one camera is arranged among a plurality of groups of nozzles, the plurality of groups of nozzles are arranged from top to bottom, each group of nozzles comprises a first nozzle and a second nozzle, and each pattern comprises a pattern correction element printed by the first nozzle, a first set of standard mark elements and a second set of standard mark elements printed by the second nozzle.
In this embodiment, at least one pattern photographed by at least one camera may be obtained when performing registration deviation detection; the at least one camera is arranged among a plurality of groups of nozzles, the plurality of groups of nozzles are arranged from top to bottom, each group of nozzles comprises a first nozzle and a second nozzle, and each pattern comprises a pattern correction element printed by the first nozzle, a first set of standard mark elements and a second set of standard mark elements printed by the second nozzle. The number of cameras and the number of patterns correspond to each other one by one.
The pattern correction elements can reflect angles between the camera and the pattern, the influence of low registration accuracy caused by the setting angle of the camera is reduced, the first registration mark element and the second registration mark element are used for registering a plurality of groups of spray heads, and the pattern shapes of the specific pattern correction elements, the first registration mark element and the second registration mark element are not limited here. It is to be understood that the manner of disposing the cameras may be a manner of disposing the cameras between every two groups of adjacently arranged nozzles, a manner of disposing one camera between every two groups of adjacently arranged nozzles in the plurality of groups of nozzles, or other manners, which is not limited herein, and meanwhile, the number of the cameras is not limited herein.
202. A reference pattern is determined among the at least one pattern, and a coordinate transformation matrix of the at least one pattern is calculated based on the pattern correction elements of the reference pattern.
After obtaining the at least one pattern photographed by the at least one camera, a reference pattern may be determined among the at least one pattern, and a coordinate transformation matrix of the at least one pattern may be calculated from the pattern correction elements of the reference pattern. It is understood that the coordinate transformation matrix of at least one pattern calculated based on the pattern correction elements of the reference pattern may be used as the coordinate transformation matrix of all patterns, so that all patterns have a uniform coordinate system, and the accuracy of registration may be improved.
203. And calculating the movement offset of the second spray head relative to the first spray head according to the first set of identification elements, the second set of identification elements and the coordinate transformation matrix.
After the coordinate transformation matrix of the at least one pattern is calculated according to the pattern correction elements of the reference pattern, a movement offset of the second nozzle with respect to the first nozzle may be calculated according to the first registration mark element, the second registration mark element, and the coordinate transformation matrix. It is understood that the first and second registration mark elements are all pattern mark elements, and the second showerhead is a second showerhead corresponding to the second registration mark element.
204. And controlling the second spray head to move according to the movement deviation so that the central point of the second standard mark element printed by the second spray head and the central point of the first standard mark element printed by the first spray head are on the same horizontal line.
After the movement offset of the second nozzle relative to the first nozzle is calculated according to the first set of standard marking elements, the second set of standard marking elements and the coordinate transformation matrix, the second nozzle can be controlled to move according to the movement offset, so that the center point of the second set of standard marking elements printed by the second nozzle and the center point of the first set of standard marking elements printed by the first nozzle are on the same horizontal line.
In the embodiment of the application, automatic registration can be realized through registration deviation detection equipment, the coordinate transformation matrix of at least one pattern can be automatically calculated according to the pattern correction elements of the reference pattern, then the movement deviation of the second spray head relative to the first spray head is calculated according to the first registration identification elements, the second registration identification elements and the coordinate transformation matrix, the second spray head is controlled to move according to the movement deviation, the registration deviation detection efficiency is higher, and the registration accuracy is higher.
In this embodiment, there may be a plurality of methods for calculating the movement deviation of the second nozzle relative to the first nozzle according to the first and second alignment mark elements and the coordinate transformation matrix, which are described below:
in the embodiment of the application, the single-pass printer includes multiple sets of nozzles arranged from top to bottom, a camera is disposed between every two adjacent sets of nozzles, each set of nozzles includes a first nozzle and a second nozzle, it can be understood that each set of nozzles of the single-pass printer may have a cyan nozzle, a magenta nozzle, a yellow nozzle and a black nozzle, the first nozzle and the second nozzle are respectively one of the four color nozzles, and the colors of the first nozzle and the second nozzle are not consistent. It will be appreciated that at least one camera may be aligned along the direction of placement of the jets, placed at the seam between the jets, and mounted on the jet mount, with low installation requirements and without user intervention for correcting the position of the plurality of cameras. It will also be appreciated that in order to avoid distortion of the pattern, the camera is mounted in the central region of the pattern as far as possible, and secondly, the camera may be subjected to a checkerboard correction, the impact of the checkerboard correction on the sharpness of the captured pattern being negligible.
When carrying out the registration deviation and detecting, registration deviation detecting system begins to start, and pattern correction element, first registration identification element can be printed to first shower nozzle, and pattern color mark triggers element and pattern identification element, and second registration identification element can be printed to the second shower nozzle. The image identification elements can represent groups of the first sprayer and the second sprayer and color types of the first sprayer and the second sprayer, the shape of the image identification elements can be numbers, characters, bar codes or a group of circles and the like, the shapes of the first set of standard identification elements and the second set of standard identification elements can be concentric circles or vernier scales and the like, the pattern correction elements can be a cross or a circular matrix and the like, the shape of the pattern color mark trigger elements can be a rectangle or a circle and the like, and the shapes of the elements are not limited. For example, please refer to fig. 3, fig. 3 is a schematic diagram of a pattern disclosed in the embodiment of the present application, in which the pattern is a pattern shot by a camera disposed between two adjacent sets of nozzles, a rectangular area in the diagram is a pattern identification element, a cross area is a pattern correction element, an outer circle area is a second reference identification element, an inner circle area is a first reference identification element, and a square area is a pattern color code trigger element.
When the trigger unit of the registration deviation detection system identifies the pattern color code trigger element, the cameras in corresponding positions are triggered to shoot, each camera shoots a corresponding area, the registration deviation detection device can obtain at least one pattern shot by at least one camera, can determine a reference pattern in the at least one pattern, the coordinate transformation matrix of the at least one pattern is calculated from the pattern correction elements of the reference pattern, and the method of calculating the coordinate transformation matrix of the at least one pattern from the pattern correction elements of the reference pattern may be, in particular, extracting a cross region of the image correction elements, and carrying out binarization and denoising processing on the cross region, determining the intersection point of the cross according to a region enclosed by two central lines and two central lines in the cross region, and taking the intersection point as the rotation central point of the coordinate transformation matrix so as to calculate the coordinate transformation matrix. It can be understood that the pattern correction element may be a cross, the size of the cross may not be limited, and the cross may be a cross with a larger size, and the accuracy of the calculated coordinate transformation matrix is higher.
After the coordinate transformation matrix is calculated, the movement offset of the second nozzle relative to the first nozzle may be calculated according to the first set of standard identification elements, the second set of standard identification elements, and the coordinate transformation matrix, and please refer to fig. 4, where fig. 4 is a schematic flow diagram of a method for calculating the movement offset of the second nozzle relative to the first nozzle disclosed in the embodiment of the present application, and the method includes:
401. and calculating the XY relative deviation between the second sprayer of the lower group and the first sprayer and the XY relative deviation between the second sprayer of the lower group and the first sprayer according to the first set of identification elements and the second set of identification elements.
An XY relative deviation between the second showerhead of the upper group and the first showerhead and an XY relative deviation between the second showerhead of the lower group and the first showerhead may be calculated based on the first and second set of identification elements. Referring to fig. 5, fig. 5 is a schematic flowchart of a method for calculating the XY relative deviation between the second showerhead and the first showerhead, according to an embodiment of the present disclosure, where the method includes:
501. and aiming at each pattern, calculating the central points of the first graph and the second graph of the upper group and the lower group respectively according to a graph fitting algorithm to obtain N first central points and N second central points of the upper group and the lower group.
Specifically, the first registration mark elements of each pattern may be two upper and lower groups of N first patterns that are respectively and uniformly arranged, the second registration mark elements of each pattern may be two upper and lower groups of N second patterns that are respectively and uniformly arranged, and N is greater than or equal to 1. For each pattern, the central points of the upper and lower groups of first patterns and second patterns can be calculated according to a pattern fitting algorithm, so as to obtain the upper and lower groups of N first central points and N second central points. The pattern fitting algorithm corresponds to the type of the pattern one to one.
502. And respectively calculating the difference between the second central point and the first central point at the corresponding position aiming at the N first central points and the N second central points of each group to obtain the N difference values of the upper group and the N difference values of the lower group.
After the N first center points and the N second center points of the upper and lower groups are obtained, differences between the second center points and the first center points at corresponding positions may be calculated for the N first center points and the N second center points of each group, respectively, to obtain N differences of the upper group and N differences of the lower group.
503. And respectively carrying out average value processing on the N difference values of each group to obtain the average deviation of the upper group and the average deviation of the lower group.
After the N difference values of the upper group and the N difference values of the lower group are obtained, the N difference values of each group may be averaged to obtain an average deviation of the upper group and an average deviation of the lower group.
504. The average deviation of the upper group is taken as the XY relative deviation between the second head and the first head of the upper group.
The average deviation of the upper group may be taken as the XY relative deviation between the second showerhead and the first showerhead of the upper group.
505. The average deviation of the lower group was taken as the XY relative deviation between the second head and the first head of the lower group.
The average deviation of the lower group may be taken as the XY relative deviation between the second showerhead and the first showerhead of the lower group.
402. And calculating XY relative deviation between the first spray head of the upper group and the first spray head of the lower group according to the first set of standard mark elements and the coordinate transformation matrix.
The XY relative deviation between the upper group of first showerheads and the lower group of first showerheads can be calculated based on the first registration mark elements and the coordinate transformation matrix. The specific method for calculating the XY relative deviation between the upper group of first nozzles and the lower group of first nozzles may be various, and the following description is given separately:
A. registration deviation detection for a single camera shot pattern.
Referring to fig. 6, fig. 6 is a schematic flow chart illustrating a method for calculating XY relative deviations between an upper set of first nozzles and a lower set of first nozzles according to an embodiment of the present application, the method including:
601. and fitting the parallelograms according to the coordinate transformation matrix and the N first central points of each group to obtain an upper group of parallelograms and a lower group of parallelograms.
The parallelograms can be fitted according to the coordinate transformation matrix and the N first central points of each group respectively to obtain an upper group of parallelograms and a lower group of parallelograms. It will be appreciated that the N first centre points of each set here correspond to a pattern taken by a single camera.
602. And calculating the relative deviation between the central point of the diagonal line in the upper group of parallelograms and the central point of the diagonal line in the lower group of parallelograms to obtain the inter-group relative deviation.
After the upper set of parallelograms and the lower set of parallelograms are obtained, the relative deviation between the center points of the diagonals in the upper set of parallelograms and the center points of the diagonals in the lower set of parallelograms may be calculated to obtain the inter-set relative deviation.
603. And subtracting the preset distance from the relative deviation between the groups to obtain the XY relative deviation between the upper group of first nozzles and the lower group of first nozzles.
After obtaining the inter-group relative deviation, the inter-group relative deviation may be subtracted by a preset distance to obtain an XY relative deviation between the upper group of first nozzles and the lower group of first nozzles. It is understood that the preset distance is a preset spacing distance between the upper group of first spray heads and the lower group of first spray heads.
B. And detecting the registration deviation of a plurality of patterns shot by a plurality of cameras.
Referring to fig. 7, fig. 7 is a schematic flow chart illustrating another method for calculating XY relative deviations between a first upper set of nozzles and a first lower set of nozzles according to the embodiment of the present application, the method including:
701. and fitting the parallelograms according to the coordinate transformation matrix and the N first central points of each group to obtain an upper group of parallelograms and a lower group of parallelograms.
And fitting the parallelograms according to the coordinate transformation matrix and the N first central points of each group to obtain an upper group of parallelograms and a lower group of parallelograms. It is understood that the N first central points of each group correspond to all the patterns captured by all the cameras, and the upper and lower groups of parallelograms correspond to different patterns.
702. An adjacent set of parallelograms arranged adjacent to the upper set of parallelograms is determined.
After the upper set of parallelograms and the lower set of parallelograms are obtained, an adjacent set of parallelograms arranged adjacent to the upper set of parallelograms can be determined. The adjacent groups of parallelograms arranged adjacently are adjacent upwards or downwards, and the specific adjacent mode is not limited herein.
703. A first relative deviation between a center point of a diagonal in the upper set of parallelograms and a center point of a diagonal in the adjacent set of parallelograms is calculated.
After determining the neighboring set of parallelograms arranged adjacent to the upper set of parallelograms, a first relative deviation between a center point of a diagonal line in the upper set of parallelograms and a center point of a diagonal line in the neighboring set of parallelograms may be calculated.
704. A second relative deviation between the center point of the diagonal in the adjacent set of parallelograms and the center point of the diagonal in the next set of parallelograms is calculated.
After determining the neighboring set of parallelograms arranged adjacent to the upper set of parallelograms, a second relative deviation between a center point of a diagonal line in the neighboring set of parallelograms and a center point of a diagonal line in the lower set of parallelograms may be calculated.
705. The sum of the first relative deviation and the second relative deviation is taken as the inter-group relative deviation.
After calculating the first relative deviation and the second relative deviation, the sum of the first relative deviation and the second relative deviation may be taken as the inter-group relative deviation.
706. And subtracting the preset distance from the relative deviation between the groups to obtain the XY relative deviation between the upper group of first nozzles and the lower group of first nozzles.
After the relative deviation of the components is obtained, the preset distance may be subtracted from the relative deviation between the groups to obtain the XY relative deviation between the upper group of first nozzles and the lower group of first nozzles. It is understood that the preset distance is a preset spacing distance between the upper group of first spray heads and the lower group of first spray heads.
403. And calculating the movement offset of the second sprayer relative to the first sprayer according to the XY relative deviation between the upper group of first sprayers and the lower group of first sprayers, the XY relative deviation between the upper group of second sprayers and the first sprayers and the XY relative deviation between the lower group of second sprayers and the first sprayers.
After the XY relative deviation between the upper group of first nozzles and the lower group of first nozzles, the XY relative deviation between the upper group of second nozzles and the first nozzles, and the XY relative deviation between the lower group of second nozzles and the first nozzles are obtained, the movement deviation of the second nozzles relative to the first nozzles can be calculated according to the XY relative deviation between the upper group of first nozzles and the lower group of first nozzles, the XY relative deviation between the upper group of second nozzles and the first nozzles, and the XY relative deviation between the lower group of second nozzles and the first nozzles.
Referring to fig. 8, fig. 8 is a schematic flow chart of a method for calculating a movement offset of a second nozzle relative to a first nozzle disclosed in an embodiment of the present application, where the method includes:
801. and taking the XY relative deviation between the second spray head of the lower group and the first spray head as the movement deviation of the second spray head of the lower group.
The XY relative deviation between the second head of the lower group and the first head may be taken as the movement deviation of the second head of the lower group. It can be understood that, in the embodiment of the present application, the first nozzle is used as a reference for the movement of the nozzles of other colors, and the XY relative deviation between the second nozzle of the lower group and the first nozzle of the lower group can be directly used as a reference for the movement deviation of the second nozzle of the lower group.
802. And taking the sum of the XY relative deviation between the upper group of first spray heads and the lower group of first spray heads and the XY relative deviation between the upper group of second spray heads and the first spray heads as the movement offset of the upper group of second spray heads.
The sum of the XY relative deviation between the upper group of first heads and the lower group of first heads and the XY relative deviation between the upper group of second heads and the first heads may be used as the movement offset of the upper group of second heads.
For convenience of understanding, the following respectively illustrates a method for calculating the movement deviation of the second nozzle by using a pattern captured by a single camera and a method for calculating the movement deviation of the second nozzle by using a plurality of patterns captured by a plurality of cameras in the embodiment of the present application.
Referring to fig. 9, fig. 9 is a schematic diagram of a single camera for performing shooting, where M represents a magenta nozzle, C represents a cyan nozzle, K represents a black nozzle, Y represents a yellow nozzle, M1 represents an upper group of first nozzles, M2 represents a lower group of first nozzles, and assuming that M2 is used as a reference nozzle, C1, K1 and Y1 can be used as upper group of second nozzles, and C2, K2 and Y2 can be used as lower group of second nozzles, the formula for calculating the movement offset of the upper group of second nozzles relative to the lower group of first nozzles M2 is as follows:
ΔX_xM2＝ΔX_xM1+ΔX_M1M2
ΔY_xM2＝ΔY_xM1+ΔY_M1M2
wherein X may be Y1, C1 or K1, Δ X _ xM2 and Δ Y _ xM2 are XY relative deviations of the upper group second nozzle with respect to the lower group first nozzle M2, Δ X _ xM1 and Δ Y _ xM1 are XY relative deviations of the upper group second nozzle with respect to the upper group first nozzle, Δ X _ M1M2 and Δ Y _ M1M2 are XY relative deviations of the upper group first nozzle with respect to the lower group first nozzle, and Δ X _ xM2 and Δ Y _ xM2 are displacement deviations of the upper group second nozzle with respect to the lower group first nozzle.
Referring to fig. 10, fig. 10 is a schematic diagram of a multi-camera shooting method for calculating a moving offset of a second nozzle for a plurality of patterns shot by multiple cameras, where M represents a magenta nozzle, C represents a cyan nozzle, K represents a black nozzle, Y represents a yellow nozzle, and n represents a camera number, assuming that Mk is used as a reference nozzle, 1< K < n +1, except for Yk, Ck, and Kk, the nozzles of other colors need to be converted, at least one group of nozzles is divided into two groups, one group is 1 to K-1, and one group is K +1 to n +1, and an iterative formula is as follows:
the first set of iterative equations:
ΔX_x i M k ＝ΔX_x i M i +ΔX_M i M k
ΔX_M i M k ＝ΔX_M i M i+1 +ΔX_M i+1 M k
ΔY_x i M k ＝ΔY_x i M i +ΔY_M i M k
ΔY_M i M k ＝ΔY_M i M i+1 +ΔY_M i+1 M k
wherein 1 is<＝i<X is a non-M color head, and Δ X _ X i M k And Δ Y _ x i M k XY relative deviation of the upper set of second nozzles with respect to the lower set of first nozzles, in particular,. DELTA.X _ X i M k And Δ Y _ x i M k The XY relative deviation of the upper group of second nozzles corresponding to the i camera relative to the lower group of first nozzles corresponding to the k camera is shown. Δ X _ X i M i And Δ Y _ x i M i XY relative deviation of the upper group of second nozzles from the upper group of first nozzles, specifically, Δ X _ X i M i And Δ Y _ x i M i The XY relative deviation between the upper group of second spray heads corresponding to the i camera and the upper group of first spray heads corresponding to the i camera is obtained. Δ X _ M i M k And Δ Y _ M i M k Is the XY relative deviation between the upper group of first nozzles and the lower group of first nozzles, specifically, DeltaX _ M i M k And Δ Y _ M i M k Is XY relative deviation between the upper group of first nozzles corresponding to the i camera and the lower group of first nozzles corresponding to the k camera, Δ X _ M i M i+1 And Δ Y _ M i M i+1 Is a first relative deviation, in particular Δ X _ M i M i+1 And Δ Y _ M i M i+1 Is XY relative between the upper group of first nozzles corresponding to the i camera and the lower group of first nozzles corresponding to the i cameraDeviation, Δ X _ M i M k And Δ Y _ M i M k For a second relative deviation, in particular, Δ X _ M i M k And Δ Y _ M i M k The XY relative deviation between the upper group of first spray heads corresponding to the i camera and the lower group of first spray heads corresponding to the k camera is obtained.
The second set of iterative equations:
ΔX_x i M k ＝ΔX_x i M i +ΔX_M i M k
ΔX_M i M k ＝ΔX_M i M i-1 +ΔX_M i-1 M k
ΔY_x i M k ＝ΔY_x i M i +ΔY_M i M k
ΔY_M i M k ＝ΔY_M i M i-1 +ΔY_M i-1 M k
wherein k +1 ═ i ═ n +1, x is a non-M color nozzle, and for the specific formula explanation, reference is made to the explanation of the first group of iterative formulas, which is not described herein again.
After the movement offset of the second nozzle relative to the first nozzle is calculated, the second nozzle can be controlled to move according to the movement offset, so that the center point of the second set of alignment mark elements printed by the second nozzle and the center point of the first set of alignment mark elements printed by the first nozzle are on the same horizontal line.
In the embodiment of the application, it is worth mentioning that, digital printing equipment is when just beginning to carry the material printing pattern, there is the fluctuation, the fluctuation can directly influence the registration accuracy that registration deviation detecting system carries out the registration, consequently, select the print cycle of predetermineeing quantity to be sampling period, regard the pattern that this sampling period printed as effective pattern, trigger the camera again and shoot, the influence of the shooting pattern definition that has reduced because of the fluctuation leads to and the degree of accuracy, the degree of accuracy of calculating XY relative deviation has been improved, thereby registration accuracy has been improved.
To aid understanding, the following describes the results of testing for digital printing apparatus fluctuations:
referring to fig. 11, fig. 11 is a schematic diagram of a test result of fluctuation of a digital printing apparatus disclosed in an embodiment of the present application, where X deviation and Y deviation are XY relative deviations of a lower group of second nozzles relative to a lower group of first nozzles, a horizontal axis direction is a printing period, and a vertical axis direction is a deviation value, it can be seen from the diagram that the digital printing apparatus has a significant fluctuation during a start-up period, the X deviation exceeds 0.1mm at a time of a third printing period, after a tenth printing period, the X deviation and Y deviation values begin to stabilize, and with the tenth printing period and a twentieth printing period, an arithmetic mean value of the X deviation in the set of fluctuation periods is calculated to be 0.05126, the fluctuation of the X deviation is +0.012, the arithmetic mean value of the Y deviation is 0.040, and the fluctuation of the Y deviation is + 0.02. Therefore, the sampling period for setting the registration deviation detection system can be set to 10 print periods, so that both the X fluctuation and the Y fluctuation can satisfy the registration requirement of 600DPI with a camera shooting pattern accuracy of 1200 Dots Per Inch (DPI, Dots Per inc).
It is also worth mentioning that if the shooting area of the camera is large, the DPI of the shot pattern can be small, the definition of the pattern is low, and the registration accuracy is low, and secondly, the shooting area that the camera needs to shoot is large, the distance between the installation position of the camera and the position of the spray head is large, the camera shoots the interference factors that are received more, the shooting accuracy of the shot pattern is low, and the registration accuracy is low. For example, for a tag 330 width, an 8K camera can only reach 600DPI, and if 1200DPI is to be reached, two 8K cameras are required. Therefore, one camera is arranged between every two adjacent groups of spray heads, the DPI of the patterns shot by the camera is 1200DPI by reducing the shooting area, the definition of the patterns is higher, the accuracy of calculating the relative XY deviation is improved, and the accuracy of registration is improved. For example, for the registration deviation detection system of the embodiment of the present application, only two area-array cameras with 500 ten thousand pixels are needed under 330 widths, and 1200DPI can be achieved under the condition of shooting 46 mm × 46 mm, so that the registration accuracy is high, the system configuration is simple, the camera is easy to place, and the cost is more cost-effective.
In this embodiment, can realize automatic registration through registration deviation check out test set, can calculate the coordinate transformation matrix of at least one pattern according to the pattern correction element of benchmark pattern automatically, then calculate the relative first shower nozzle's of second shower nozzle removal offset according to first registration identification element, second registration identification element and coordinate transformation matrix, move according to removing the offset control second shower nozzle, registration deviation detection efficiency is higher, and the registration accuracy is higher. It can be understood that, for the embodiment of the present application, the first heads are taken as the reference for the movement of the heads of other colors, and in the first heads, one of the first heads is taken as the reference for the movement of the other first heads, so that the accuracy of the registration is improved. It can also be understood that the preset number of printing cycles are selected as sampling cycles, the patterns printed in the sampling cycles are used as effective patterns, and then the camera is triggered to shoot, so that the influence of the definition and accuracy of shot patterns caused by fluctuation is reduced, the accuracy of calculating XY relative deviation is improved, and the registration accuracy is improved. It can also be understood that a camera is arranged between every two adjacent groups of spray heads, so that the shooting area is reduced, the DPI of the pattern is higher, the definition of the pattern is improved, the accuracy of calculating the relative XY deviation is improved, and the registration accuracy is improved.
With reference to fig. 12, the method for detecting the registration deviation in the embodiment of the present application is described above, and the following describes the registration deviation detecting apparatus in the embodiment of the present application, where an embodiment of the registration deviation detecting apparatus in the embodiment of the present application includes:
an obtaining unit 1201 for obtaining at least one pattern captured by at least one camera; the at least one camera is arranged among a plurality of groups of nozzles, the plurality of groups of nozzles are arranged from top to bottom, each group of nozzles comprises a first nozzle and a second nozzle, and each pattern comprises a pattern correction element and a first set of standard mark elements printed by the first nozzle and a second set of standard mark elements printed by the second nozzle;
a calculating unit 1202, configured to determine a reference pattern in the at least one pattern obtained by the obtaining unit 1201, and calculate a coordinate transformation matrix of the at least one pattern according to the pattern correction element of the reference pattern.
The calculating unit 1202 is further configured to calculate a movement offset of the second nozzle relative to the first nozzle according to the first set of standard marking elements, the second set of standard marking elements, and the coordinate transformation matrix;
the control unit 1203 is configured to control the second nozzle to move according to the movement offset calculated by the calculation unit 1202, so that a center point of a second alignment mark element printed by the second nozzle and a center point of a first alignment mark element printed by the first nozzle are on the same horizontal line.
In the embodiment of the application, automatic registration can be realized through registration deviation detection equipment, the coordinate transformation matrix of at least one pattern can be automatically calculated according to the pattern correction elements of the reference pattern, then the movement deviation of the second spray head relative to the first spray head is calculated according to the first registration identification elements, the second registration identification elements and the coordinate transformation matrix, the second spray head is controlled to move according to the movement deviation, the registration deviation detection efficiency is higher, and the registration accuracy is higher.
Referring now to fig. 13, yet another embodiment of a registration deviation detection apparatus 1300 in an embodiment of the present application comprises:
a central processing unit 1301, a memory 1305, an input/output interface 1304, a wired or wireless network interface 1303 and a power supply 1302;
the central processor 1301 is configured to communicate with the memory 1305 and execute the instructions in the memory 1305 to perform the methods in the embodiments of fig. 2, 4, 5-8 described above.
The embodiment of the present application further provides a computer-readable storage medium, which includes instructions, when the instructions are executed on a computer, causing the computer to execute the method in the foregoing embodiments shown in fig. 2, fig. 4, and fig. 5 to fig. 8.
The embodiments of the present application also provide a computer program product containing instructions, which when run on a computer, cause the computer to execute the method in the embodiments of fig. 2, fig. 4, and fig. 5 to fig. 8.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like.
Claims (10)
1. A registration deviation detection method is applied to registration deviation detection equipment and is characterized by comprising the following steps:
obtaining at least one pattern captured by at least one camera; the at least one camera is arranged among a plurality of groups of nozzles, the plurality of groups of nozzles are arranged from top to bottom, each group of nozzles comprises a first nozzle and a second nozzle, and each pattern comprises a pattern correction element and a first set of standard mark elements printed by the first nozzle and a second set of standard mark elements printed by the second nozzle;
determining a reference pattern in the at least one pattern, and calculating a coordinate transformation matrix of the at least one pattern according to pattern correction elements of the reference pattern;
calculating the movement offset of the second spray head relative to the first spray head according to the first set of standard mark elements, the second set of standard mark elements and the coordinate transformation matrix;
and controlling the second sprayer to move according to the movement deviation so that the central point of the second alignment mark element printed by the second sprayer and the central point of the first alignment mark element printed by the first sprayer are on the same horizontal line.
2. The registration deviation detecting method according to claim 1, wherein the pattern correction element is in the shape of a cross, and the calculating the coordinate transformation matrix of the at least one pattern from the pattern correction elements of the reference pattern comprises:
extracting a cross region of the image correction element;
carrying out binarization and denoising processing on the cross region;
determining the intersection point of the cross according to the two central lines in the cross area and the area surrounded by the two central lines;
and taking the intersection point as a rotation central point of the coordinate transformation matrix to calculate the coordinate transformation matrix.
3. The registration deviation detection method of claim 1, wherein the calculating a deviation amount of movement of the second showerhead relative to the first showerhead based on the first registration mark element, the second registration mark element, and the coordinate transformation matrix comprises:
calculating the XY relative deviation between the second sprayer of the lower group and the first sprayer and the XY relative deviation between the second sprayer of the lower group and the first sprayer according to the first set of standard marking elements and the second set of standard marking elements;
calculating XY relative deviation between the first group of first spray heads and the next group of first spray heads according to the first set of standard mark elements and the coordinate transformation matrix;
and calculating the movement offset of the second sprayer relative to the first sprayer according to the XY relative deviation between the upper group of first sprayers and the lower group of first sprayers, the XY relative deviation between the upper group of second sprayers and the first sprayers and the XY relative deviation between the lower group of second sprayers and the first sprayers.
4. The method according to claim 3, wherein the first registration mark elements of each pattern are shaped as two upper and lower groups of N first patterns, respectively, and the second registration mark elements of each pattern are shaped as two upper and lower groups of N second patterns, respectively, wherein N is greater than or equal to 1;
calculating an XY relative deviation between the second showerhead and the first showerhead of the next group and an XY relative deviation between the second showerhead and the first showerhead of the next group according to the first and second registration mark elements, including:
calculating the central points of the first graph and the second graph of the upper group and the lower group according to a graph fitting algorithm respectively aiming at each pattern to obtain N first central points and N second central points of the upper group and the lower group;
respectively calculating the difference between the second central point and the first central point at the corresponding position aiming at the N first central points and the N second central points of each group to obtain N differences of the upper group and N differences of the lower group;
respectively carrying out average value processing on the N difference values of each group to obtain the average deviation of the upper group and the average deviation of the lower group;
taking the average deviation of the upper group as the XY relative deviation between the second spray head and the first spray head of the upper group;
and taking the average deviation of the lower group as the XY relative deviation between the second spray head and the first spray head of the lower group.
5. The registration deviation detection method of claim 4, wherein the calculating the XY relative deviation between the upper group of first jets and the lower group of first jets based on the first registration identification elements and the coordinate transformation matrix comprises:
fitting parallelograms according to the coordinate transformation matrix and the N first central points of each group to obtain an upper group of parallelograms and a lower group of parallelograms;
calculating the relative deviation between the center point of the diagonal line in the upper group of parallelograms and the center point of the diagonal line in the lower group of parallelograms to obtain the inter-group relative deviation;
and subtracting a preset distance from the relative deviation among the groups to obtain the XY relative deviation between the upper group of first nozzles and the lower group of first nozzles.
6. The registration deviation detection method of claim 5, wherein prior to calculating the relative deviation between the center points of the diagonals in the upper set of parallelograms and the center points of the diagonals in the lower set of parallelograms, the method further comprises:
determining an adjacent set of parallelograms arranged adjacent to the upper set of parallelograms;
the calculating the relative deviation between the center point of the diagonal line in the upper group of parallelograms and the center point of the diagonal line in the lower group of parallelograms to obtain the inter-group relative deviation comprises:
calculating a first relative deviation between a center point of a diagonal line in the upper set of parallelograms and a center point of a diagonal line in the neighboring set of parallelograms;
calculating a second relative deviation between the center point of the diagonal line in the adjacent set of parallelograms and the center point of the diagonal line in the next set of parallelograms;
taking the sum of the first relative deviation and the second relative deviation as the inter-group relative deviation.
7. The registration deviation detection method according to claims 1 to 6, wherein the calculating the movement deviation of the second head with respect to the first head based on the XY relative deviation between the upper group of first heads and the lower group of first heads, the XY relative deviation between the second head of the upper group and the first head, and the XY relative deviation between the second head of the lower group and the first head includes:
taking the XY relative deviation between the second sprayer of the lower group and the first sprayer as the movement deviation of the second sprayer of the lower group;
and taking the sum of the XY relative deviation between the upper group of first spray heads and the lower group of first spray heads and the XY relative deviation between the upper group of second spray heads and the first spray heads as the movement deviation of the upper group of second spray heads.
8. A registration deviation detecting apparatus, comprising:
an obtaining unit for obtaining at least one pattern photographed by at least one camera; the at least one camera is arranged among a plurality of groups of nozzles, the plurality of groups of nozzles are arranged from top to bottom, each group of nozzles comprises a first nozzle and a second nozzle, and each pattern comprises a pattern correction element and a first set of standard mark elements printed by the first nozzle and a second set of standard mark elements printed by the second nozzle;
a calculation unit configured to determine a reference pattern among the at least one pattern, and calculate a coordinate transformation matrix of the at least one pattern from a pattern correction element of the reference pattern;
the calculation unit is further configured to calculate a movement offset of the second nozzle with respect to the first nozzle according to the first set of fiducial mark elements, the second set of fiducial mark elements, and the coordinate transformation matrix;
and the control unit is used for controlling the second spray head to move according to the movement deviation so that the central point of the second set of standard mark elements printed by the second spray head and the central point of the first set of standard mark elements printed by the first spray head are on the same horizontal line.
9. A registration deviation detecting apparatus, comprising:
the system comprises a central processing unit, a memory, an input/output interface, a wired or wireless network interface and a power supply;
the memory is a transient memory or a persistent memory;
the central processor is configured to communicate with the memory and execute the operations of the instructions in the memory to perform the method of any of claims 1 to 7.
10. A computer-readable storage medium comprising instructions which, when executed on a computer, cause the computer to perform the method of any one of claims 1 to 7.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102765249A (en) * | 2012-07-10 | 2012-11-07 | 上海大学 | Machine vision detection method based on four-colour printed matter registration detection marks |
| CN104442026A (en) * | 2013-09-16 | 2015-03-25 | 北大方正集团有限公司 | Printing alignment method and device |
| CN105091741A (en) * | 2014-04-23 | 2015-11-25 | 北大方正集团有限公司 | Chromatography precision detecting method and device |
| CN109814536A (en) * | 2019-03-01 | 2019-05-28 | 长春市吉海测控技术有限责任公司 | A kind of register partial difference detection method based on machine vision register control system |
| CN110091590A (en) * | 2019-03-26 | 2019-08-06 | 厦门微控科技有限公司 | A kind of register control method and system and equipment based on machine vision |
| CN110893725A (en) * | 2018-09-12 | 2020-03-20 | 海德堡印刷机械股份公司 | Register-register measurement with circular measurement marks |
| CN112248645A (en) * | 2020-09-28 | 2021-01-22 | 深圳圣德京粤科技有限公司 | Longitudinal stitching method and device for nozzle, printing equipment and storage medium |
| CN112248651A (en) * | 2019-07-22 | 2021-01-22 | 深圳市润天智数字设备股份有限公司 | Printing device and method and system for correcting chromatic aberration thereof |
-
2022
- 2022-06-27 CN CN202210737455.6A patent/CN114953788B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102765249A (en) * | 2012-07-10 | 2012-11-07 | 上海大学 | Machine vision detection method based on four-colour printed matter registration detection marks |
| CN104442026A (en) * | 2013-09-16 | 2015-03-25 | 北大方正集团有限公司 | Printing alignment method and device |
| CN105091741A (en) * | 2014-04-23 | 2015-11-25 | 北大方正集团有限公司 | Chromatography precision detecting method and device |
| CN110893725A (en) * | 2018-09-12 | 2020-03-20 | 海德堡印刷机械股份公司 | Register-register measurement with circular measurement marks |
| CN109814536A (en) * | 2019-03-01 | 2019-05-28 | 长春市吉海测控技术有限责任公司 | A kind of register partial difference detection method based on machine vision register control system |
| CN110091590A (en) * | 2019-03-26 | 2019-08-06 | 厦门微控科技有限公司 | A kind of register control method and system and equipment based on machine vision |
| CN112248651A (en) * | 2019-07-22 | 2021-01-22 | 深圳市润天智数字设备股份有限公司 | Printing device and method and system for correcting chromatic aberration thereof |
| CN112248645A (en) * | 2020-09-28 | 2021-01-22 | 深圳圣德京粤科技有限公司 | Longitudinal stitching method and device for nozzle, printing equipment and storage medium |
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