CN114953788B - Registration deviation detection method and related equipment - Google Patents

Registration deviation detection method and related equipment Download PDF

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Publication number
CN114953788B
CN114953788B CN202210737455.6A CN202210737455A CN114953788B CN 114953788 B CN114953788 B CN 114953788B CN 202210737455 A CN202210737455 A CN 202210737455A CN 114953788 B CN114953788 B CN 114953788B
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group
deviation
nozzle
pattern
registration
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CN114953788A (en
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雷增强
徐星
江洪
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Shenzhen Runtianzhi Digital Equipment Co Ltd
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Shenzhen Runtianzhi Digital Equipment Co Ltd
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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
    • 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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  • Spray Control Apparatus (AREA)

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 nozzle and controlling the second nozzle to move so as to enable the center point of a second registration identification element and the center point of a first registration identification element to be on the same horizontal line. The method comprises the following steps: at least one pattern shot by at least one camera is obtained, a reference pattern is determined in the at least one pattern, a coordinate transformation matrix of the at least one pattern is calculated according to pattern correction elements of the reference pattern, a movement offset of the second nozzle relative to the first nozzle is calculated according to the first registration identification element, the second registration identification element and the coordinate transformation matrix, and the second nozzle is controlled to move according to the movement offset, so that the center point of the second registration identification element printed by the second nozzle and the center point of the first registration identification element printed by the first nozzle are on the same horizontal line.

Description

Registration deviation detection method and related equipment
Technical Field
The embodiment of the application relates to a registration deviation detection method, and more particularly relates to a registration deviation detection method, a registration accuracy detection device and a computer readable storage medium.
Background
Single pass printers (Single pass printers) change web more frequently when printing, and have higher demands on the pattern printed on the material, requiring frequent overprinting of the material, and therefore require XY-direction registration of the printing heads.
The traditional registration method is that on the premise of not affecting the content quality of the printed matter, overprinting marks such as cat eyes, rice word lines or cross word lines are added at blank positions of the printing matter, and a user estimates the relative distance of the overprinting marks through naked eyes of a magnifying glass to obtain the moving offset of the spray head, so that the spray head is controlled to move according to the moving offset, and the center point of the overprinting marks printed by the spray head is on the same horizontal line.
However, the registration deviation detection method requires the user to participate and estimate continuously, and has the defects of large damage to human eyes, low detection efficiency of the registration deviation, low registration accuracy depending on the accuracy of user estimation.
Disclosure of Invention
The embodiment of the application provides a registration deviation detection method, a registration precision detection device and a computer readable storage medium, which can calculate the movement deviation of a second nozzle and control the second nozzle to move so that the center point of a second registration identification element and the center point of a first registration identification element are on the same horizontal line.
In a first aspect, an embodiment of the present application provides a method for detecting a registration deviation, including:
obtaining at least one pattern photographed by at least one camera; the at least one camera is arranged among a plurality of groups of spray heads, the spray heads are arranged from top to bottom, each group of spray heads comprises a first spray head and a second spray head, and each pattern comprises a pattern correction element printed by the first spray head, a first registration identification element and a second registration identification element printed by the second spray head;
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 nozzle relative to the first nozzle according to the first registration identification element, the second registration identification element and the coordinate transformation matrix;
and controlling the second nozzle to move according to the movement offset, so that the center point of the second registration mark element printed by the second nozzle and the center point of the first registration mark element printed by the first nozzle are on the same horizontal line.
Optionally, the shape of the pattern correction element is a cross, and the calculating the 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;
binarizing and denoising the cross region;
determining the intersection point of the cross according to the area surrounded by the two central lines in the cross area and the two central lines;
and taking the intersection point as a rotation center point of the coordinate transformation matrix to calculate the coordinate transformation matrix.
Optionally, the calculating the movement offset of the second nozzle relative to the first nozzle according to the first registration identification element, the second registration identification element and the coordinate transformation matrix includes:
calculating XY relative deviation between the second nozzle of the upper group and the first nozzle and XY relative deviation between the second nozzle of the lower group and the first nozzle according to the first registration identification element and the second registration identification element;
calculating XY relative deviation between the upper group of first spray heads and the lower group of first spray heads according to the first registration identification elements and the coordinate transformation matrix;
and calculating the movement offset of the second spray head relative to the first spray head according to the XY relative deviation between the upper group first spray head and the lower group first spray head, the XY relative deviation between the upper group second spray head and the first spray head and the XY relative deviation between the lower group second spray head and the first spray head.
Optionally, the shape of the first registration mark element of each pattern is N first patterns which are uniformly arranged in an upper group and a lower group, the shape of the second registration mark element of each pattern is N second patterns which are uniformly arranged in an upper group and a lower group, and N is greater than or equal to 1;
the method for calculating the XY relative deviation between the second nozzle and the first nozzle of the upper group and the XY relative deviation between the second nozzle and the first nozzle of the lower group according to the first registration identification element and the second registration identification element comprises the following steps:
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 for each pattern to obtain N first central points and N second central points of the upper group and the lower group;
for N first center points and N second center points of each group, respectively calculating the difference values between the second center points and the first center points at corresponding positions to obtain N difference values of an upper group and N difference values of a lower group;
respectively carrying out average value processing on N difference values of each group to obtain average deviation of an upper group and average deviation of a lower group;
taking the average deviation of the upper group as the XY relative deviation between the second nozzle and the first nozzle 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 identification element and the coordinate transformation matrix includes:
fitting parallelograms according to the coordinate transformation matrix and N first center points of each group respectively 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 relative deviation between groups;
and subtracting a preset distance from the relative deviation between the groups to obtain the XY relative deviation between the upper group of first spray heads and the lower group of first spray heads.
Optionally, before the calculating of the relative deviation between the center point of the diagonal in the upper set of parallelograms and the center point of the diagonal 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 of the relative deviation between the center point of the diagonal in the upper group of parallelograms and the center point of the diagonal in the lower group of parallelograms, to obtain the relative deviation between groups, includes:
Calculating a first relative deviation between the center point of the diagonal in the upper set of parallelograms and the center point of the diagonal in the adjacent set of parallelograms;
calculating 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 lower set of parallelograms;
and taking the sum of the first relative deviation and the second relative deviation as the relative deviation between the groups.
Optionally, the calculating the movement offset of the second nozzle relative to the first nozzle according to the XY relative deviation between the first nozzle of the upper group and the first nozzle of the lower group, the XY relative deviation between the second nozzle of the upper group and the first nozzle, and the XY relative deviation between the second nozzle of the lower group and the first nozzle includes:
taking XY relative deviation between the second spray heads of the lower group and the first spray heads as the movement deviation of the second spray heads 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 detection 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 spray heads, the spray heads are arranged from top to bottom, each group of spray heads comprises a first spray head and a second spray head, and each pattern comprises a pattern correction element printed by the first spray head, a first registration identification element and a second registration identification element printed by the second spray head;
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 pattern correction elements of the reference pattern;
the calculating unit is further used for calculating the movement offset of the second nozzle relative to the first nozzle according to the first registration identification element, the second registration identification element and the coordinate transformation matrix;
and the control unit is used for controlling the second spray head to move according to the movement offset so as to enable the center point of the second registration mark element printed by the second spray head and the center point of the first registration mark element printed by the first spray head to be on the same horizontal line.
In a third aspect, an embodiment of the present application provides a registration deviation detecting apparatus, including:
The device 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 short-term memory or a persistent memory;
the central processor is configured to communicate with the memory and to execute instruction operations 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.
From the above technical solutions, the embodiments of the present application have the following advantages: the automatic registration can be realized through the registration deviation detection equipment, the coordinate transformation matrix of at least one pattern can be automatically calculated according to the pattern correction element 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 element, the second registration identification element and the coordinate transformation matrix, and then the second spray head is controlled to move according to the movement deviation, so that the registration deviation detection efficiency is higher, and the registration accuracy is higher.
Drawings
Fig. 1 is a schematic architecture diagram of a registration deviation detection system according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of a registration deviation detection method disclosed in an embodiment of the present application;
FIG. 3 is a schematic diagram of a pattern disclosed in an embodiment of the present application;
FIG. 4 is a schematic flow chart of a method for calculating a movement offset of a second nozzle relative to a first nozzle according to an embodiment of the present disclosure;
FIG. 5 is a schematic flow chart of a method for calculating XY relative deviation between a second showerhead and a first showerhead according to an embodiment of the present disclosure;
FIG. 6 is a flow chart of a method for calculating XY relative deviation between the upper set of first heads and the lower set of first heads according to an embodiment of the present disclosure;
FIG. 7 is a flow chart of another method for calculating XY relative deviation between the upper set of first heads and the lower set of first heads according to an embodiment of the present disclosure;
FIG. 8 is a schematic flow chart of a method for calculating the movement offset of the second nozzle relative to the first nozzle according to the embodiment of the present disclosure;
fig. 9 is a schematic diagram of shooting by a single camera according to an embodiment of the present disclosure;
fig. 10 is a schematic diagram of shooting by a plurality of cameras according to an embodiment of the present disclosure;
FIG. 11 is a schematic diagram of a test result of digital printing device 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, a registration deviation detection device and a computer readable storage medium, which can calculate the movement deviation of a second nozzle and control the second nozzle to move so that the center point of a second registration identification element and the center point of a first registration identification element are on the same horizontal line.
Referring to fig. 1, in an embodiment of the present application, a registration deviation detection system architecture includes:
a misalignment detecting device 101 and a camera 102 and a second head 103.
When performing the registration deviation detection, the registration deviation detection device 101 may be connected to the camera 102, and the registration deviation detection 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 amount of the second nozzle 103, and may control the second nozzle 103 to move.
Referring to fig. 2, fig. 2 is a schematic flow chart of a registration deviation detection method disclosed in an embodiment of the present application, where the method includes:
201. obtaining at least one pattern photographed by at least one camera; wherein, at least one camera sets up between multiunit shower nozzle, multiunit shower nozzle from the top down arranges, and every group shower nozzle contains first shower nozzle and second shower nozzle, and every pattern contains the pattern correction element that first shower nozzle printed and first registration identification element and the second registration identification element that second shower nozzle printed.
In this embodiment, at least one pattern shot by at least one camera may be obtained when performing registration deviation detection; wherein, at least one camera sets up between multiunit shower nozzle, multiunit shower nozzle from the top down arranges, and every group shower nozzle contains first shower nozzle and second shower nozzle, and every pattern contains the pattern correction element that first shower nozzle printed and first registration identification element and the second registration identification element that second shower nozzle printed. The number of cameras corresponds to the number of patterns one by one.
The pattern correction element may be configured to reflect an angle between the camera and the pattern, so as to reduce an influence of low alignment accuracy caused by a setting angle of the camera, where the first alignment mark element and the second alignment mark element are used to align the plurality of groups of nozzles, and a pattern shape of the specific pattern correction element, the first alignment mark element and the second alignment mark element is not limited herein. It should be understood that the manner of disposing the cameras may be a manner of disposing the cameras between every two sets of the adjacent spray heads, or may be a manner of disposing one camera between every two sets of the adjacent spray heads in the plurality of sets of spray heads, or may be other manners, which are not limited herein, and meanwhile, the number of the cameras is not limited herein.
202. A reference pattern is determined in the at least one pattern, and a coordinate transformation matrix of the at least one pattern is calculated from 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 in the at least one pattern, and a coordinate transformation matrix of the at least one pattern may be calculated from pattern correction elements of the reference pattern. It will be appreciated that calculating the coordinate transformation matrix of at least one pattern from the pattern correction elements of the reference pattern may serve as a coordinate transformation matrix for all patterns, so that all patterns have a uniform coordinate system, which may improve the accuracy of the registration.
203. And calculating the movement offset of the second nozzle relative to the first nozzle according to the first registration identification element, the second registration identification element and the coordinate transformation matrix.
After calculating the coordinate transformation matrix of at least one pattern according to the pattern correction element of the reference pattern, the movement offset of the second nozzle relative to the first nozzle may be calculated according to the first registration identification element, the second registration identification element and the coordinate transformation matrix. It is understood that the first registration identification element and the second registration identification element are identification elements of all patterns, and the second spray head is a second spray head corresponding to the second registration identification element.
204. And controlling the second nozzle to move according to the movement offset, so that the center point of the second registration identification element printed by the second nozzle and the center point of the first registration identification element printed by the first nozzle are on the same horizontal line.
After calculating the movement offset of the second nozzle relative to the first nozzle according to the first registration identification element, the second registration identification element 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 registration identification element printed by the second nozzle and the center point of the first registration identification element printed by the first nozzle are on the same horizontal line.
In this embodiment of the application, can realize automatic registration through the 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 voluntarily, then calculate the removal offset of second shower nozzle relative first shower nozzle according to first registration identification element, second registration identification element and coordinate transformation matrix, remove according to removal offset control second shower nozzle again, the registration deviation detection efficiency is higher, and the registration accuracy is higher.
In this embodiment of the present application, there may be a plurality of methods for calculating the movement offset of the second nozzle relative to the first nozzle according to the first registration identification element, the second registration identification element and the coordinate transformation matrix, which are described below:
In this embodiment of the application, the single-pass printer includes the multiunit shower nozzle that from the top down was arranged, is provided with a camera between every two adjacent shower nozzles of group, and every shower nozzle of group includes first shower nozzle and second shower nozzle, and it can be understood that every shower nozzle of group of single-pass printer can have cyan shower nozzle, magenta shower nozzle, yellow shower nozzle and black shower nozzle respectively, and first shower nozzle and second shower nozzle are one of these four kinds of colour shower nozzles respectively, and the colour between first shower nozzle and the second shower nozzle is inconsistent. It will be appreciated that at least one camera may be aligned along the direction of placement of the sprayers, placed at the seam between sprayers, and may be mounted on the sprayer mount with low mounting requirements and multiple cameras may be positionally corrected without user intervention. It will also be appreciated that in order to avoid distortion of the pattern, the camera is mounted as much as possible in the central region of the pattern, and secondly, a checkerboard correction may be performed on the camera, which has a negligible effect on the sharpness of the photographed pattern.
When the registration deviation is detected, the registration deviation detection system starts to be started, the first spray head can print the pattern correction element, the first registration identification element, the pattern color code trigger element and the pattern identification element, and the second spray head can print the second registration identification element. The image identification elements can represent groups of the first spray head and the second spray head and color types of the first spray head and the second spray head, the shapes of the image identification elements can be numbers, characters, bar codes or a group of circles, the shapes of the first registration identification elements and the second registration identification elements can be concentric circles or vernier scales, the pattern correction elements can be cross frames or circular matrixes, the shapes of the pattern color code triggering elements can be rectangular or circular, and the shapes of the elements are not limited. For example, referring to fig. 3, fig. 3 is a schematic diagram of a pattern disclosed in an embodiment of the present application, where the pattern is a pattern captured by a camera disposed between two adjacent groups of nozzles, a rectangular area in the pattern is a pattern identification element, a cross area is a pattern correction element, an outer circle area is a second registration identification element, an inner circle area is a first registration identification element, and a square area is a pattern color code trigger element.
When the triggering unit of the registration deviation detection system identifies a pattern color code triggering element, triggering cameras at corresponding positions to shoot, wherein 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, calculates a coordinate transformation matrix of the at least one pattern according to the pattern correction element of the reference pattern, specifically, a method for calculating the coordinate transformation matrix of the at least one pattern according to the pattern correction element of the reference pattern can be a cross area for extracting the image correction element, carries out binarization and denoising treatment on the cross area, determines an intersection point of the cross according to an area surrounded by two center lines in the cross area and the two center lines, and takes the intersection point as a rotation center point of the coordinate transformation matrix 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, the pattern correction element may be a cross with a larger size, and the calculated coordinate transformation matrix has higher accuracy.
After calculating the coordinate transformation matrix, the movement offset of the second nozzle relative to the first nozzle may be calculated according to the first registration identification element, the second registration identification element and the coordinate transformation matrix, and referring to fig. 4, fig. 4 is a flowchart of a method for calculating the movement offset of the second nozzle relative to the first nozzle according to the method for calculating the movement offset of the second nozzle relative to the first nozzle disclosed in the embodiment of the present application, where the method includes:
401. And calculating the XY relative deviation between the second spray head of the upper group and the first spray head and the XY relative deviation between the second spray head of the lower group and the first spray head according to the first registration identification element and the second registration identification element.
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 may be calculated from the first registration identification element and the second registration identification element. Referring to fig. 5, fig. 5 is a schematic flow diagram of a method for calculating XY relative deviation between a second showerhead and a first showerhead in an upper group and XY relative deviation between a second showerhead and a first showerhead in a lower group, where the method includes:
501. and 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 for each pattern to obtain N first central points and N second central points of the upper group and the lower group.
Specifically, the shape of the first registration identification element of each pattern may be N first patterns which are uniformly arranged in the upper and lower groups, and the shape of the second registration identification element of each pattern may be N second patterns which are uniformly arranged in the upper and lower groups, where N is greater than or equal to 1. The center points of the first graph and the second graph of the upper group and the lower group can be calculated according to a graph fitting algorithm for each pattern, so that N first center points and N second center points of the upper group and the lower group are obtained. The graph fitting algorithm corresponds to the types of graphs one by one.
502. And respectively calculating the difference values between the second center points and the first center points at the corresponding positions according to the N first center points and the N second center points of each group to obtain N difference values of the upper group and N difference values of the lower group.
After obtaining the N first center points and the N second center points of the upper and lower groups, the difference between the second center points and the first center points at the corresponding positions can be calculated for the N first center points and the N second center points of each group, respectively, to obtain the N difference values of the upper group and the N difference values of the lower group.
503. And respectively carrying out average value processing on the N differences of each group to obtain the average deviation of the upper group and the average deviation of the lower group.
After obtaining the N differences of the upper group and the N differences of the lower group, average processing may be performed on the N differences of each group, 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 was 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 regarded as XY relative deviation between the second head and the first head 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 regarded as XY relative deviation between the second head and the first head of the lower group.
402. And calculating XY relative deviation between the first spray heads of the upper group and the first spray heads of the lower group according to the first registration identification elements and the coordinate transformation matrix.
XY relative deviations between the upper set of first heads and the lower set of first heads may be calculated from the first registration identification elements and the coordinate transformation matrix. The method for calculating the XY relative deviation between the upper group of first nozzles and the lower group of first nozzles can be various, and the following descriptions are provided respectively:
A. registration deviation detection for single camera shot patterns.
Referring specifically to fig. 6, fig. 6 is a flowchart of a method for calculating XY relative deviation between an upper group of first nozzles and a lower group of first nozzles according to an embodiment of the present application, where the method includes:
601. and fitting the parallelograms according to the coordinate transformation matrix and N first center points of each group respectively to obtain an upper group of parallelograms and a lower group of parallelograms.
The upper set of parallelograms and the lower set of parallelograms may be obtained by fitting the parallelograms according to the coordinate transformation matrix and the N first center points of each set, respectively. It will be appreciated that the N first center points of each set herein correspond to one pattern captured 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 relative deviation between groups.
After the upper group of parallelograms and the lower group of parallelograms are obtained, 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 can be calculated, and the relative deviation between groups can be obtained.
603. Subtracting a preset distance from the relative deviation between the groups to obtain the XY relative deviation between the upper group of first spray heads and the lower group of first spray heads.
After the inter-group relative deviation is obtained, the pre-set distance may be subtracted from the inter-group relative deviation to obtain an XY relative deviation between the upper-group first showerhead and the lower-group first showerhead. It will be appreciated that the preset distance is herein the preset spacing distance between the upper set of first nozzles and the lower set of first nozzles.
B. Registration deviation detection by a plurality of patterns shot by a multi-camera.
Referring specifically to fig. 7, fig. 7 is a flowchart of another method for calculating XY relative deviation between an upper group of first nozzles and a lower group of first nozzles according to an embodiment of the present application, where the method includes:
701. and fitting the parallelograms according to the coordinate transformation matrix and N first center points of each group respectively to obtain an upper group of parallelograms and a lower group of parallelograms.
The upper set of parallelograms and the lower set of parallelograms may be obtained by fitting the parallelograms according to the coordinate transformation matrix and the N first center points of each set, respectively. It will be appreciated that the N first center points of each set here correspond to all patterns taken by all cameras, the upper set of parallelograms and the lower set of parallelograms corresponding 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. Adjacent groups of parallelograms arranged adjacently are adjacent upwardly or downwardly, and the manner of specific adjacency is not limited herein.
703. A first relative deviation between the center point of the diagonal in the upper set of parallelograms and the center point of the diagonal in the adjacent set of parallelograms is calculated.
After determining the adjacent group of parallelograms arranged adjacent to the upper group of parallelograms, a first relative deviation between the center point of the diagonal in the upper group of parallelograms and the center point of the diagonal in the adjacent group 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 adjacent group of parallelograms arranged adjacent to the upper group of parallelograms, a second relative deviation between the center point of the diagonal in the adjacent group of parallelograms and the center point of the diagonal in the lower group 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 and second relative deviations, the sum of the first and second relative deviations may be taken as the inter-group relative deviation.
706. Subtracting a preset distance from the relative deviation between the groups to obtain the XY relative deviation between the upper group of first spray heads and the lower group of first spray heads.
After the component relative deviation is obtained, the preset distance can be subtracted from the inter-group relative deviation to obtain the XY relative deviation between the upper-group first spray heads and the lower-group first spray heads. It will be appreciated that the preset distance is herein the preset spacing distance between the upper set of first nozzles and the lower set of first nozzles.
403. And calculating the movement offset of the second spray head relative to the first spray head according to the XY relative deviation between the upper group of first spray heads and the lower group of first spray heads, the XY relative deviation between the upper group of second spray heads and the first spray heads and the XY relative deviation between the lower group of second spray heads and the first spray heads.
After the XY relative deviation between the upper group first spray head and the lower group first spray head, the XY relative deviation between the upper group second spray head and the first spray head and the XY relative deviation between the lower group second spray head and the first spray head are obtained, the movement deviation of the second spray head relative to the first spray head can be calculated according to the XY relative deviation between the upper group first spray head and the lower group first spray head, the XY relative deviation between the upper group second spray head and the first spray head and the XY relative deviation between the lower group second spray head and the first spray head.
Referring to fig. 8, fig. 8 is a flow chart of a method for calculating a movement offset of a second nozzle relative to a first nozzle according to an embodiment of the present application, where the method includes:
801. and taking XY relative deviation between the second spray heads of the lower group and the first spray heads as the movement deviation of the second spray heads 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 amount of the second head of the lower group. It can be appreciated that in the embodiment of the present application, the first nozzle is used as a reference for movement of the nozzles of other colors, and XY relative deviation between the second nozzle of the lower group and the first nozzle of the lower group may be directly used as a reference for 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 deviation of the upper group of second spray heads.
The sum of the XY relative deviation between the upper group first head and the lower group first head and the XY relative deviation between the upper group second head and the first head may be taken as the movement deviation of the upper group second head.
For easy understanding, the method for calculating the movement offset of the second nozzle by using the pattern shot by the single camera and the method for calculating the movement offset of the second nozzle by using the plurality of patterns shot by the multiple cameras in the embodiment of the present application are respectively illustrated below.
Referring to fig. 9, fig. 9 is a schematic diagram of shooting by a single camera according to the embodiment of the present application, 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, one of the first nozzles is used as a reference nozzle, assuming that M2 is used as a reference nozzle, C1, K1 and Y1 can be used as an upper group of second nozzles, and C2, K2 and Y2 can be used as a lower group of second nozzles, a formula for calculating the shift amount 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, Δx_xm2 and Δy_xm2 are XY relative deviations of the upper group second head with respect to the lower group first head M2, Δx_xm1 and Δy_xm1 are XY relative deviations of the upper group second head with respect to the upper group first head, Δx_m1m2 and Δy_m1m2 are XY relative deviations between the upper group first head with respect to the lower group first head, and Δx_xm2 and Δy_xm2 are displacement deviations of the upper group second head with respect to the lower group first head.
Referring to fig. 10, fig. 10 is a schematic diagram of shooting by using a plurality of cameras disclosed in the embodiment of the present application, where M represents a magenta nozzle, C represents a cyan nozzle, K represents a black nozzle, Y represents a yellow nozzle, n is a camera number, and if Mk is used as a reference nozzle, 1< = K < = n+1, and except Yk, ck, kk, other color nozzles need to be converted, at least one group of nozzles is divided into two groups, one group is 1 to K-1, one group is k+1 to n+1, and the iterative formula is divided as follows:
the first set of iterative formulas:
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<=k-1, X is a non-M color nozzle, Δx_x i M k And DeltaY_x i M k XY relative for the upper set of second jets to the lower set of first jets Deviation, in particular, deltaX_x i M k And DeltaY_x i M k And the XY relative deviation of the upper group of second spray heads corresponding to the i cameras relative to the lower group of first spray heads corresponding to the k cameras is obtained. ΔX_x i M i And DeltaY_x i M i For the XY relative deviation of the upper group second head from the upper group first head, specifically, deltaX_x i M i And DeltaY_x i M i And the XY relative deviation between the upper group of second spray heads corresponding to the i cameras and the upper group of first spray heads corresponding to the i cameras is obtained. ΔX_M i M k And DeltaY_M i M k For XY relative deviation between the upper set of first heads and the lower set of first heads, specifically, deltaX_M i M k And DeltaY_M i M k For the XY relative deviation between the upper group first spray heads corresponding to the i cameras and the lower group first spray heads corresponding to the k cameras, deltaX_M i M i+1 And DeltaY_M i M i+1 Is a first relative deviation, specifically, deltaX_M i M i+1 And DeltaY_M i M i+1 For the XY relative deviation between the upper group of first spray heads corresponding to the i cameras and the lower group of first spray heads corresponding to the i cameras, deltaX_M i M k And DeltaY_M i M k For the second relative deviation, in particular, deltaX_M i M k And DeltaY_M i M k And the XY relative deviation between the upper group of first spray heads corresponding to the i cameras and the lower group of first spray heads corresponding to the k cameras is obtained.
The second set of iterative formulas:
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 the specific formula explanation is referred to the explanation of the first set of iterative formulas, which is not described herein.
After calculating the movement offset of the second nozzle relative to the first nozzle, the second nozzle can be controlled to move according to the movement offset, so that the center point of the second registration mark element printed by the second nozzle and the center point of the first registration mark element printed by the first nozzle are on the same horizontal line.
In this embodiment of the present application, it is worth mentioning that when the digital printing equipment just begins to carry the material to print the pattern, there is fluctuation, and the fluctuation can directly influence the registration accuracy that the registration deviation detecting system was registered, consequently select the printing cycle of predetermineeing quantity as sampling cycle, regard as effective pattern with the pattern that this sampling cycle printed, trigger the camera again and shoot, reduced the influence because of the shooting pattern definition and the degree of accuracy that fluctuation led to, improved the degree of accuracy of calculating XY relative deviation to the registration accuracy has been improved.
To aid understanding, the following describes the test results of digital printing device fluctuation:
referring to fig. 11, fig. 11 is a schematic diagram of a test result of fluctuation of a digital printing apparatus according to an embodiment of the present application, in which the X-deviation and the Y-deviation are XY relative deviations of a lower set of second nozzles relative to a lower set of first nozzles, the horizontal axis direction is a printing period, and the vertical axis direction is a value of the deviation. Therefore, the sampling period of the set registration deviation detection system may be set to 10 print periods so that both the X fluctuation and the Y fluctuation can satisfy the registration requirement of 600DPI with the camera shooting pattern accuracy of 1200 Dots Per Inch (DPI).
It is worth mentioning still that, if the shooting area of camera is great, then the DPI of shooting pattern can be less, and the definition of pattern is lower, and the accuracy of registering is lower, and secondly, the bigger shooting area that the camera needs to shoot, the distance between the mounted position of camera and the position of shower nozzle is great, and the interference factor that the camera was shot and received is more, and the degree of accuracy of shooting the pattern is lower, and the accuracy of registering is lower. For example, for a label 330 width, an 8K camera can only reach 600DPI, if 1200DPI is to be reached, two 8K cameras are needed. Therefore, a camera is arranged between every two adjacent groups of spray heads, and the DPI of a pattern shot by the camera is 1200DPI by reducing the shot area, so that the definition of the pattern is higher, the accuracy of calculating 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 application, under the condition of 330 breadth, only two 500 ten thousand-pixel area array cameras are needed, under the condition of 46 mm x 46 mm shooting, 1200DPI can be achieved, the registration accuracy is high, the system is simple in structure, the camera is easy to place, and the cost is more cost-effective.
In this embodiment, automatic registration can be realized through the registration deviation detection device, the coordinate transformation matrix of at least one pattern can be automatically calculated according to the pattern correction element of the reference pattern, then the movement deviation of the second nozzle relative to the first nozzle is calculated according to the first registration identification element, the second registration identification element and the coordinate transformation matrix, and then the second nozzle is controlled to move according to the movement deviation, so that the 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 spray heads are used as the reference for moving the spray heads of other colors, and in the first spray heads, one of the first spray heads is used as the reference for moving the other first spray heads, so that the accuracy of the alignment is improved. It can be further understood that the preset number of printing periods are selected as sampling periods, the patterns printed in the sampling periods are used as effective patterns, and the camera is triggered to shoot, so that the influence of the definition and accuracy of shooting 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 appreciated that one 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 relative XY deviation is improved, and the accuracy of registration is improved.
The above describes a method for detecting a registration deviation in an embodiment of the present application, and the following describes a device for detecting a registration deviation in an embodiment of the present application, referring to fig. 12, an embodiment of the device for detecting a registration deviation in an embodiment of the present application includes:
an obtaining unit 1201 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 spray heads, the spray heads are arranged from top to bottom, each group of spray heads comprises a first spray head and a second spray head, and each pattern comprises a pattern correction element printed by the first spray head, a first registration identification element and a second registration identification element printed by the second spray head;
a calculation unit 1202 for determining a reference pattern among at least one pattern obtained by the obtaining unit 1201, and calculating a coordinate transformation matrix of the at least one pattern from pattern correction elements 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 registration identification element, the second registration identification element, 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 the second registration identification element printed by the second nozzle and a center point of the first registration identification element printed by the first nozzle are on the same horizontal line.
In this embodiment of the application, can realize automatic registration through the 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 voluntarily, then calculate the removal offset of second shower nozzle relative first shower nozzle according to first registration identification element, second registration identification element and coordinate transformation matrix, remove according to removal offset control second shower nozzle again, the registration deviation detection efficiency is higher, and the registration accuracy is higher.
Referring next to fig. 13, still another embodiment of the registration deviation detecting apparatus 1300 in the embodiment of the present application includes:
a central processor 1301, a memory 1305, an input/output interface 1304, a wired or wireless network interface 1303, and a power supply 1302;
memory 1305 is a transient memory or persistent memory;
the central processor 1301 is configured to communicate with the memory 1305 and to execute the instruction operations in the memory 1305 to perform the methods of the embodiments shown in fig. 2, 4, 5-8 described above.
Embodiments of the present application also provide a computer-readable storage medium including instructions that, when executed on a computer, cause the computer to perform the methods of the embodiments shown in fig. 2, 4, and 5 to 8.
Embodiments of the present application also provide a computer program product comprising instructions which, when executed on a computer, cause the computer to perform the method of the embodiments shown in the foregoing fig. 2, 4, 5 to 8.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown 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 may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in 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, random access memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Claims (10)

1. A registration deviation detecting method applied to a registration deviation detecting apparatus, comprising:
obtaining at least one pattern photographed by at least one camera; the at least one camera is arranged among a plurality of groups of spray heads, the spray heads are arranged from top to bottom, each group of spray heads comprises a first spray head and a second spray head, and each pattern comprises a pattern correction element printed by the first spray head, a first registration identification element and a second registration identification element printed by the second spray head;
Determining a reference pattern in the at least one pattern, determining a center point of a pattern correction element in the reference pattern, and taking the center point as a rotation center point of a coordinate transformation matrix to calculate the coordinate transformation matrix of the at least one pattern;
calculating the movement offset of the second nozzle relative to the first nozzle according to the first registration identification element, the second registration identification element and the coordinate transformation matrix;
and controlling the second nozzle to move according to the movement offset, so that the center point of the second registration identification element printed by the second nozzle and the center point of the first registration identification element printed by the first nozzle are positioned on the same point.
2. The registration deviation detecting method according to claim 1, wherein the shape of the pattern correction element is a cross, the determining a center point of the pattern correction element in the reference pattern, and taking the center point as a rotation center point of a coordinate transformation matrix to calculate the coordinate transformation matrix of the at least one pattern, includes:
extracting a cross region of the pattern correction element;
binarizing and denoising the cross region;
Determining the intersection point of the cross according to the area surrounded by the two central lines in the cross area and the two central lines;
and taking the intersection point as a rotation center point of the coordinate transformation matrix to calculate the coordinate transformation matrix.
3. The method according to claim 1, wherein calculating the shift amount of the second head relative to the first head based on the first registration identification element, the second registration identification element, and the coordinate transformation matrix includes:
calculating XY relative deviation between the second nozzle of the upper group and the first nozzle and XY relative deviation between the second nozzle of the lower group and the first nozzle according to the first registration identification element and the second registration identification element;
calculating XY relative deviation between the upper group of first spray heads and the lower group of first spray heads according to the first registration identification elements and the coordinate transformation matrix;
and calculating the movement offset of the second spray head relative to the first spray head according to the XY relative deviation between the upper group first spray head and the lower group first spray head, the XY relative deviation between the upper group second spray head and the first spray head and the XY relative deviation between the lower group second spray head and the first spray head.
4. The registration deviation detecting method according to claim 3, wherein the shape of the first registration identification element of each pattern is N first patterns which are respectively and uniformly arranged in an upper group and a lower group, the shape of the second registration identification element of each pattern is N second patterns which are respectively and uniformly arranged in an upper group and a lower group, and N is greater than or equal to 1;
the method for calculating the XY relative deviation between the second nozzle and the first nozzle of the upper group and the XY relative deviation between the second nozzle and the first nozzle of the lower group according to the first registration identification element and the second registration identification element comprises the following steps:
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 for each pattern to obtain N first central points and N second central points of the upper group and the lower group;
for N first center points and N second center points of each group, respectively calculating the difference values between the second center points and the first center points at corresponding positions to obtain N difference values of an upper group and N difference values of a lower group;
respectively carrying out average value processing on N difference values of each group to obtain average deviation of an upper group and average deviation of a lower group;
taking the average deviation of the upper group as the XY relative deviation between the second nozzle and the first nozzle 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 method according to claim 4, wherein the calculating XY relative deviation between the upper group first head and the lower group first head based on the first registration identification element and the coordinate transformation matrix includes:
fitting parallelograms according to the coordinate transformation matrix and N first center points of each group respectively 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 relative deviation between groups;
and subtracting a preset distance from the relative deviation between the groups to obtain the XY relative deviation between the upper group of first spray heads and the lower group of first spray heads.
6. The registration deviation detection method according to claim 5, wherein before the calculating of the relative deviation between the center point of the diagonal in the upper set of parallelograms and the center point of the diagonal 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 of the relative deviation between the center point of the diagonal in the upper group of parallelograms and the center point of the diagonal in the lower group of parallelograms, to obtain the relative deviation between groups, includes:
calculating a first relative deviation between the center point of the diagonal in the upper set of parallelograms and the center point of the diagonal in the adjacent set of parallelograms;
calculating 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 lower set of parallelograms;
and taking the sum of the first relative deviation and the second relative deviation as the relative deviation between the groups.
7. The method according to any one of claims 1 to 6, wherein the calculating of the shift amount of the second head relative to the first head based on the XY relative deviation between the upper group first head and the lower group first head, the XY relative deviation between the upper group second head and the first head, and the XY relative deviation between the lower group second head and the first head includes:
taking XY relative deviation between the second spray heads of the lower group and the first spray heads as the movement deviation of the second spray heads 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, characterized by 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 spray heads, the spray heads are arranged from top to bottom, each group of spray heads comprises a first spray head and a second spray head, and each pattern comprises a pattern correction element printed by the first spray head, a first registration identification element and a second registration identification element printed by the second spray head;
a calculation unit configured to determine a reference pattern among the at least one pattern, determine a center point of a pattern correction element in the reference pattern, and use the center point as a rotation center point of a coordinate transformation matrix to calculate a coordinate transformation matrix of the at least one pattern;
the calculating unit is further used for calculating the movement offset of the second nozzle relative to the first nozzle according to the first registration identification element, the second registration identification element and the coordinate transformation matrix;
And the control unit is used for controlling the second spray head to move according to the movement offset so as to enable the center point of the second registration identification element printed by the second spray head and the center point of the first registration identification element printed by the first spray head to be at the same point.
9. A registration deviation detecting apparatus, characterized by comprising:
the device 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 short-term memory or a persistent memory;
the central processor is configured to communicate with the memory and to execute instruction operations in the memory to perform the method of any of claims 1 to 7.
10. A computer readable storage medium comprising instructions which, when run on a computer, cause the computer to perform the method of any of claims 1 to 7.
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