CN110091590A - A kind of register control method and system and equipment based on machine vision - Google Patents
A kind of register control method and system and equipment based on machine vision Download PDFInfo
- Publication number
- CN110091590A CN110091590A CN201910232733.0A CN201910232733A CN110091590A CN 110091590 A CN110091590 A CN 110091590A CN 201910232733 A CN201910232733 A CN 201910232733A CN 110091590 A CN110091590 A CN 110091590A
- Authority
- CN
- China
- Prior art keywords
- colour code
- group
- scale region
- control system
- camera
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41F—PRINTING MACHINES OR PRESSES
- B41F33/00—Indicating, counting, warning, control or safety devices
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/00127—Connection or combination of a still picture apparatus with another apparatus, e.g. for storage, processing or transmission of still picture signals or of information associated with a still picture
- H04N1/00249—Connection or combination of a still picture apparatus with another apparatus, e.g. for storage, processing or transmission of still picture signals or of information associated with a still picture with a photographic apparatus, e.g. a photographic printer or a projector
- H04N1/00251—Connection or combination of a still picture apparatus with another apparatus, e.g. for storage, processing or transmission of still picture signals or of information associated with a still picture with a photographic apparatus, e.g. a photographic printer or a projector with an apparatus for taking photographic images, e.g. a camera
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/66—Remote control of cameras or camera parts, e.g. by remote control devices
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/90—Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Inking, Control Or Cleaning Of Printing Machines (AREA)
Abstract
The invention discloses a kind of register control method and system and equipment based on machine vision.Wherein, the register control method based on machine vision, which includes: industrial personal computer, is real-time transmitted to control system for the practical colour code of calculated each group camera and benchmark colour code deviation of centre distance (△ X, △ Y) and registration error data, with the control system according to the practical colour code and benchmark colour code deviation of centre distance (△ X, △ Y) and registration error data of each group camera of the transmission, calculate horizontal and vertical register value, and the control system carries out register control according to the calculated horizontal and vertical register value.Colour code image is identified by the above-mentioned means, can be realized and take pictures using machine vision, physical location is calculated and carries out register control, and register is accurate, is avoided that the problem for causing register inaccurate due to colour code printing relationship.
Description
Technical field
The present invention relates to printing equipment technology more particularly to a kind of register control method based on machine vision and it is
System and equipment.
Background technique
The register control scheme of existing printing equipment, gold stamping device, die-cutting device is come generally by color mark sensor
It identifies version colouring target position, then carries out register control.Existing printing equipment, gold stamping device, die-cutting device automatic set
Quasi-project very by the precision of color mark sensor and the printing quality image of colour code, if colour code do not have it is printed, it is more likely that automatic set
Standard will erroneous judgement or application condition it is big, lead to register trouble.
Summary of the invention
In view of this, it is an object of the invention to propose a kind of register control method and system based on machine vision and set
It is standby, it can be realized take pictures using machine vision and identify colour code image, calculate physical location and carry out register control, register is quasi-
Really, it is avoided that the problem of register trouble is led to due to colour code printing relationship.
According to an aspect of the present invention, a kind of register control method based on machine vision is provided, comprising:
Find each group scale region;
Each group camera is according to each group scale region of the searching, by the respective color in the correspondence each group scale region
The photo opportunity in mark region records and informs control system;
The control system is recorded according to the photo opportunity of the respective scale region of the informing, is calculated described respective
Scale region photo opporunity;
The control system is worked as roller every time and is passed through according to the photo opporunity of the calculated respective scale region
When crossing the corresponding scale region of the photo opporunity, triggering photographing signals give the respective camera;
The each group camera is captured respective in the correspondence each group scale region according to the triggering photographing signals
Scale region;
The photo of the candid photograph is transferred to industrial personal computer by kilomega network by each group camera;
The industrial personal computer calculates in the practical colour code and benchmark colour code of each group camera according to the photo of the transmission
The heart is away from deviation (△ X, △ Y) and registration error;
The industrial personal computer is by the practical colour code of the calculated each group camera and benchmark colour code deviation of centre distance (△
X, △ Y) and registration error data be real-time transmitted to control system;
The control system is according to the practical colour code of each group camera of the transmission with the heart in the minds of benchmark colour code away from inclined
Poor (△ X, △ Y) and registration error data, calculate horizontal and vertical register value;
The control system carries out register control according to the calculated horizontal and vertical register value.
Wherein, the searching each group scale region, comprising:
Take pictures using machine vision and identify colour code image, each group color scale space is found according to the colour code image of the identification
Domain.
Wherein, the control system is worked as every time according to the photo opporunity of the calculated respective scale region
When roller is by the photo opporunity corresponding scale region, triggering photographing signals give the respective camera, comprising:
The system works as roller every time and passes through institute according to the photo opporunity of the calculated respective scale region
When stating the corresponding scale region of photo opporunity, photographing signals are triggered to the respective camera by speedy carding process module.
Wherein, the industrial personal computer calculates the practical colour code and benchmark of each group camera according to the photo of the transmission
Colour code deviation of centre distance (△ X, △ Y) and registration error, comprising:
The industrial personal computer detects the colour code center of circle of benchmark and the center of circle of each group colour code according to the photo of the transmission, and
According to the center of circle in the colour code center of circle of the benchmark detected and each group colour code, calculate the practical colour code of each group camera with
Benchmark colour code deviation of centre distance (△ X, △ Y) and registration error.
Wherein, in the control system according to the calculated horizontal and vertical register value, carry out register control it
Before, further includes:
Each group servo-driver is according to the calculated horizontal and vertical register value, and laterally or longitudinally motor comes for control
Adjust the position of roller.
According to another aspect of the present invention, a kind of auto-alignment system based on machine vision is provided, comprising:
Find module, each group camera, control system, industrial personal computer and control system;
The searching module, for finding each group scale region;
The each group camera will be in the correspondence each group scale region for each group scale region according to the searching
The photo opportunity of respective scale region record and inform the control system;
The control system is worked as every time for the photo opporunity according to the calculated respective scale region
When roller is by the photo opporunity corresponding scale region, triggering photographing signals give the respective camera;
The each group camera is also used to capture the correspondence each group scale region according to the triggering photographing signals
In respective scale region, and the photo of the candid photograph is transferred to the industrial personal computer by kilomega network;
The industrial personal computer calculates the practical colour code and benchmark of each group camera for the photo according to the transmission
Colour code deviation of centre distance (△ X, △ Y) and registration error, and by the practical colour code and base of the calculated each group camera
Quasi- colour code deviation of centre distance (△ X, △ Y) and registration error data are real-time transmitted to the control system;
The control system, for according to the practical colour code of each group camera of the transmission and benchmark colour code center away from
Deviation (△ X, △ Y) and registration error data, calculate horizontal and vertical register value, and according to the calculated transverse direction and
Longitudinal register value carries out register control.
Wherein, the searching module, is specifically used for:
Take pictures using machine vision and identify colour code image, each group color scale space is found according to the colour code image of the identification
Domain
Wherein, the control system, is specifically used for:
According to the photo opporunity of the calculated respective scale region, every time when roller pass through described in take pictures when
Between corresponding scale region when, by speedy carding process module trigger photographing signals give the respective camera.
Wherein, the industrial personal computer, is specifically used for:
According to the photo of the transmission, the colour code center of circle of benchmark and the center of circle of each group colour code are detected, and according to the inspection
The colour code center of circle for the benchmark measured and the center of circle of each group colour code calculate in the practical colour code and benchmark colour code of each group camera
The heart is away from deviation (△ X, △ Y) and registration error.
Wherein, the auto-alignment system based on machine vision, further includes:
Each group servo-driver, in the control system according to the calculated horizontal and vertical register value,
Before carrying out register control, according to the calculated horizontal and vertical register value, laterally or longitudinally motor is adjusted for control
The position of roller.
According to a further aspect of the invention, a kind of register control equipment based on machine vision is provided, comprising:
At least one processor;And
The memory being connect at least one described processor communication;Wherein,
The memory is stored with the instruction that can be executed by least one described processor, and described instruction is by described at least one
A processor executes so that at least one described processor be able to carry out it is described in any of the above embodiments based on the automatic of machine vision
Register method.
According to a further aspect of the invention, a kind of computer readable storage medium is provided, computer program is stored with, institute
It states and realizes the register control method described in any of the above embodiments based on machine vision when computer program is executed by processor.
It can be found that above scheme, can find each group scale region and each group camera according to each group colour code of the searching
The photo opportunity of respective scale region in the corresponding each group scale region is recorded and is informed control system by region, and should
Control system is recorded according to the photo opportunity of the respective scale region of the informing, calculates taking pictures for the respective scale region
Time and the control system work as roller every time and pass through the bat according to the photo opporunity of the calculated respective scale region
When scale region corresponding according to the time, triggering photographing signals to this, respectively take pictures letter according to the triggering by camera and each group camera
Number, the respective scale region and each group camera captured in the correspondence each group scale region pass through the photo of the candid photograph
Kilomega network is transferred to industrial personal computer and the industrial personal computer according to the photo of the transmission, calculates the practical colour code and base of each group camera
Quasi- colour code deviation of centre distance (△ X, △ Y) and registration error and the industrial personal computer are by the practical color of the calculated each group camera
Mark is real-time transmitted to control system and the control system with benchmark colour code deviation of centre distance (△ X, △ Y) and registration error data
According to the practical colour code of each group camera of the transmission and benchmark colour code deviation of centre distance (△ X, △ Y) and registration error data,
Horizontal and vertical register value and the control system are calculated according to the calculated horizontal and vertical register value, is carried out
Register control, can be realized take pictures using machine vision and identifies colour code image, calculates physical location and carries out register control,
Register is accurate, is avoided that the problem of leading to register trouble due to colour code printing relationship.
Further, above scheme, can use machine vision and take pictures and identify colour code image, according to the color of the identification
Logo image finds each group scale region, and can be realized even if colour code printing quality is not that very well, colour code circle thickness is different, can also be with
It by the fuzzy algorithmic approach of machine vision, calculates physical location and carries out register control, be thus avoided that since colour code prints relationship
The problem of leading to register trouble.
Further, above scheme, control system can be according to the photo opporunities of calculated respective scale region, often
It is secondary when roller is by the corresponding scale region of the photo opporunity, photographing signals are triggered by speedy carding process module and give the respective phase
Machine, such benefit are the photo opporunities that can accurately provide respective scale region, and the sound of the speedy carding process module
It is very short between seasonable, accordingly even when response speed can also be got caught up at high speeds, it can be realized the printing applied in high speed
Equipment, gold stamping device, on die-cutting device.
Further, above scheme, industrial personal computer according to the photo of transmission, can detect the colour code center of circle and each group of benchmark
The center of circle of colour code, and according to the center of circle in the colour code center of circle of the benchmark detected and each group colour code, calculate the reality of each group camera
Border colour code and benchmark colour code deviation of centre distance (△ X, △ Y) and registration error, can be realized and observe each camera unit in real time
Register situation, then carry out real-time register control.
Further, above scheme is covered automatically in control system according to calculated horizontal and vertical register value
Before standard, each group servo-driver can control laterally or longitudinally motor according to the calculated horizontal and vertical register value
The position of roller is adjusted, the accuracy rate of register can be effectively improved, can effectively be avoided the occurrence of since colour code printing relationship causes
The inaccurate problem of register.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the flow diagram of one embodiment of register control method the present invention is based on machine vision;
Fig. 2 is the flow diagram of another embodiment of register control method the present invention is based on machine vision;
Fig. 3 is an example schematic of another embodiment of register control method the present invention is based on machine vision;
Fig. 4 is that the present invention is based on the printing effects after the completion of the register of another embodiment of register control method of machine vision
An example schematic;
Fig. 5 is the structural schematic diagram of one embodiment of auto-alignment system the present invention is based on machine vision;
Fig. 6 is that the present invention is based on the structural schematic diagrams of another embodiment of the auto-alignment system of machine vision;
Fig. 7 is that the present invention is based on an example schematics of another embodiment of the auto-alignment system of machine vision;
Fig. 8 is the structural schematic diagram of one embodiment of register control equipment the present invention is based on machine vision.
Specific embodiment
With reference to the accompanying drawings and examples, the present invention is described in further detail.It is emphasized that following implement
Example is merely to illustrate the present invention, but is not defined to the scope of the present invention.Likewise, following embodiment is only portion of the invention
Point embodiment and not all embodiments, institute obtained by those of ordinary skill in the art without making creative efforts
There are other embodiments, shall fall within the protection scope of the present invention.
The present invention provides a kind of register control method based on machine vision, can be realized and is taken pictures using machine vision
It identifies colour code image, calculates physical location and carry out register control, register is accurate, is avoided that since colour code printing relationship causes to cover
The inaccurate problem of standard.The register control method is not limited to use in printing equipment, can be also used for gold stamping device and cross cutting is set
In equal.
Referring to Figure 1, Fig. 1 is the flow diagram of one embodiment of register control method the present invention is based on machine vision.
It is noted that if having substantially the same as a result, method of the invention is not limited with process sequence shown in FIG. 1.Such as Fig. 1
Shown, this method comprises the following steps:
S101: each group scale region is found.
Wherein, the searching each group scale region may include:
Take pictures using machine vision and identify colour code image, each group color scale space is found according to the colour code image of the identification
Domain, can be realized even if colour code printing quality is not that very well, colour code circle thickness is different, can also pass through the fuzzy calculation of machine vision
Method calculates physical location and carries out register control, is thus avoided that the problem of leading to register trouble due to colour code printing relationship.
In the present embodiment, each group scale region is found, after first group of printed benchmark colour code, subsequent unit can be manual
Camera photo opportunity is adjusted, until each group camera photographed corresponding scale region
S102: each group camera, will be respective in the corresponding each group scale region according to each group scale region of the searching
The photo opportunity of scale region records and informs control system.
S103: the control system is recorded according to the photo opportunity of the respective scale region of the informing, calculates this respectively
Scale region photo opporunity.
S104: the control system is worked as roller every time and is passed through according to the photo opporunity of the calculated respective scale region
When crossing the corresponding scale region of the photo opporunity, triggering photographing signals give the respective camera.
Wherein, which works as roller every time and passes through according to the photo opporunity of the calculated respective scale region
When crossing the corresponding scale region of the photo opporunity, triggering photographing signals give the respective camera, may include:
The control system works as roller every time and passes through the bat according to the photo opporunity of the calculated respective scale region
When scale region corresponding according to the time, triggering photographing signals by speedy carding process module, respectively camera, such benefit are to this
The photo opporunity of respective scale region can be accurately provided, and the response time of the speedy carding process module is very short, in this way
It can be got caught up in response speed at high speeds, can be realized the printing equipment, gold stamping device, mould applied in high speed
It cuts in equipment.
In the present embodiment, after each group camera finds corresponding shot region, this photo opportunity is recorded and informs control
System, control system will automatically calculate out the corresponding photo opportunity of each group, then can pass through when roller passes through the region every time
Speedy carding process module issues trigger signal to camera.
In the present embodiment, camera triggering mode of taking pictures can be triggered by a module with speedy carding process, should
The opportunity of triggering is controlled by control system, thus accurately can provide the opportunity taken pictures by system, there are also the output moulds
The block response time is very short, and only tens is delicate, accordingly even when response speed can also be got caught up at high speeds, can also answer
With on the printing equipment, gold stamping device, die-cutting device of high speed.
S105: each group camera is captured respective in the correspondence each group scale region according to the triggering photographing signals
Scale region.
S106: the photo of the candid photograph is transferred to industrial personal computer by kilomega network by each group camera.
S107: the industrial personal computer calculates in the practical colour code and benchmark colour code of each group camera according to the photo of the transmission
The heart is away from deviation (△ X, △ Y) and registration error.The practical colour code or the reference colours target shape are unlimited, can be solid
Circle, open circles, cross, L-type, rectangle, square etc.;It is using filled circles as the practical colour code and described in the present invention
Benchmark colour code.
Wherein, which calculates in the practical colour code and benchmark colour code of each group camera according to the photo of the transmission
The heart may include: away from deviation (△ X, △ Y) and registration error
The industrial personal computer detects the colour code center of circle of benchmark and the center of circle of each group colour code according to the photo of the transmission, and according to
The colour code center of circle of the benchmark detected and the center of circle of each group colour code calculate the practical colour code and benchmark colour code of each group camera
Heart deviation of centre distance (△ X, △ Y) and registration error, can be realized the register situation for observing each camera unit in real time, then
Carry out real-time register control.
In the present embodiment, industrial personal computer is passed to by kilomega network after which captures, the image procossing of industrial personal computer is soft
Part will detect that the colour code center of circle of benchmark, then calculate each unit practical colour code and benchmark colour code deviation of centre distance (△ X,
△ Y), this is also the longitudinal registration error and horizontal register error of unit below.
In the present embodiment, each unit can fill a camera, be then connected to by cable and covered automatically equipped with vision
On the industrial personal computer of quasi- software, the register situation of each unit can be thus observed in real time, then carries out real-time register control.
S108: the industrial personal computer is by the practical colour code of the calculated each group camera and benchmark colour code deviation of centre distance (△
X, △ Y) and register registration error data be real-time transmitted to control system.
In the present embodiment, the image processing software in the industrial personal computer can will handle data well and transfer data in real time
Control system, the control system are integrated in industrial personal computer.
S109: the control system is according to the practical colour code of each group camera of the transmission and benchmark colour code deviation of centre distance
(△ X, △ Y) and register registration error data, calculate horizontal and vertical register value.
S110: the control system carries out register control according to the calculated horizontal and vertical register value.
Wherein, in the control system according to the calculated horizontal and vertical register value, before carrying out register control, also
May include:
Each group servo-driver is according to the calculated horizontal and vertical register value, and laterally or longitudinally motor is adjusted for control
The position of full page roller can effectively improve the accuracy rate of register, can effectively avoid the occurrence of since colour code printing relationship leads to register
Inaccurate problem.
It can be found that in the present embodiment, each group scale region and each group camera can be found according to each group of the searching
The photo opportunity of respective scale region in the corresponding each group scale region is recorded and is informed control system by scale region,
It is recorded with the control system according to the photo opportunity of the respective scale region of the informing, calculates the respective scale region
Photo opporunity and the control system are worked as roller every time and are passed through according to the photo opporunity of the calculated respective scale region
When the corresponding scale region of the photo opporunity, triggering photographing signals to this, respectively clap according to the triggering by camera and each group camera
According to signal, respective scale region in the correspondence each group scale region and each group camera are captured by the photo of the candid photograph
Industrial personal computer and the industrial personal computer are transferred to according to the photo of the transmission by kilomega network, calculate the practical colour code of each group camera
With benchmark colour code deviation of centre distance (△ X, △ Y) and register registration error and the industrial personal computer by the calculated each group camera
Practical colour code and benchmark colour code deviation of centre distance (△ X, △ Y) and register registration error data be real-time transmitted to control system,
With the control system according to the practical colour code and benchmark colour code deviation of centre distance (△ X, △ Y) and set of each group camera of the transmission
Quasi- registration error data calculate horizontal and vertical register value and the control system according to the calculated transverse direction and indulge
To register value, carry out register control, can be realized take pictures using machine vision and identify colour code image, calculate actual bit
Carry out register control is set, register is accurate, is avoided that the problem for causing register inaccurate due to colour code printing relationship.
Further, in the present embodiment, it can use machine vision and take pictures and identify colour code image, according to the identification
Colour code image find each group scale region, can be realized even if colour code printing quality be not very well, colour code circle thickness it is different,
It can calculate physical location by the fuzzy algorithmic approach of machine vision and carry out register control, thus be avoided that since colour code prints
The problem that relationship causes register inaccurate.
Further, in the present embodiment, control system can be according to calculated respective scale region when taking pictures
Between, every time when roller scale region corresponding by the photo opporunity, being given by speedy carding process module triggering photographing signals should
Respective camera, such benefit are the photo opporunities that can accurately provide respective scale region, and the speedy carding process mould
The response time of block is very short, accordingly even when response speed can also be got caught up at high speeds, can be realized and applies in high speed
Printing equipment, gold stamping device, on die-cutting device.
Further, in the present embodiment, industrial personal computer according to the photo of transmission, can detect benchmark the colour code center of circle and
The center of circle of each group colour code, and according to the center of circle in the colour code center of circle of the benchmark detected and each group colour code, calculate each group camera
Practical colour code and benchmark colour code deviation of centre distance (△ X, △ Y) and register registration error, it is each to can be realized observation in real time
The register situation of camera unit, then carries out real-time register control.
Fig. 2 is referred to, Fig. 2 is the process signal of another embodiment of register control method the present invention is based on machine vision
Figure.In the present embodiment, method includes the following steps:
S201: each group scale region is found.
Can be as above described in S101, therefore not to repeat here.
S202: each group camera, will be respective in the corresponding each group scale region according to each group scale region of the searching
The photo opportunity of scale region records and informs control system.
S203: the control system is recorded according to the photo opportunity of the respective scale region of the informing, calculates this respectively
Scale region photo opporunity.
S204: the control system is worked as roller every time and is passed through according to the photo opporunity of the calculated respective scale region
When crossing the corresponding scale region of the photo opporunity, triggering photographing signals give the respective camera.
Can be as above described in S104, therefore not to repeat here.
S205: each group camera is captured respective in the correspondence each group scale region according to the triggering photographing signals
Scale region.
S206: the photo of the candid photograph is transferred to industrial personal computer by kilomega network by each group camera.
S207: the industrial personal computer calculates in the practical colour code and benchmark colour code of each group camera according to the photo of the transmission
The heart is away from deviation (△ X, △ Y) and register registration error.
Can be as above described in S107, therefore not to repeat here.
S208: the industrial personal computer is by the practical colour code of the calculated each group camera and benchmark colour code deviation of centre distance (△
X, △ Y) and register registration error data be real-time transmitted to control system.
Can be as above described in S108, therefore not to repeat here.
S209: the control system is according to the practical colour code of each group camera of the transmission and benchmark colour code deviation of centre distance
(△ X, △ Y) and register registration error data, calculate horizontal and vertical register value.
S210: for each group servo-driver according to the calculated horizontal and vertical register value, control is laterally or longitudinally electric
Machine adjusts the position of printing plate cylinder.
S211: the control system carries out register control according to the calculated horizontal and vertical register value.
It can be found that in the present embodiment, in control system according to calculated horizontal and vertical register value, carrying out certainly
Before dynamic register, each group servo-driver can control laterally or longitudinally according to the calculated horizontal and vertical register value
Motor adjusts the position of printing plate cylinder, can effectively improve the accuracy rate of register, can effectively avoid the occurrence of since colour code prints
Relationship leads to the problem of register trouble.
It is exemplified below the present embodiment:
Fig. 3 is referred to, Fig. 3 is that one action of another embodiment of register control method the present invention is based on machine vision illustrates meaning
Figure.As shown in figure 3, the example schematic is so that printing equipment is the printing machine of six colors as an example.As shown in figure 3, the plate-making of colour code
Pattern includes:
Reference colours are designated as the circle that 55 spacing of φ are, for example, 20mm, and the practical colour code that the 2nd~6 group of colour code is φ 1 is corresponding
Position is respectively that the 2nd group of circle colour code is just imprinted in the 1st circle of benchmark colour code, and the 3rd group is just imprinted on the 2nd circle of benchmark colour code
It is interior, and so on, for the printing effect after last register OK as shown in figure 4, referring to Fig. 4, Fig. 4 is that the present invention is based on machine vision
Another embodiment of register control method register after the completion of printing effect an example schematic.What the 2nd group of camera was taken pictures
Region is to photograph the 1st round range of benchmark colour code, and the region that the 3rd group of camera is taken pictures is to photograph the 2nd round model of benchmark colour code
It encloses, the region that the 4th group of camera is taken pictures is to photograph the 3rd round range of benchmark colour code, and the region that the 5th group of camera is taken pictures is to photograph base
The 4th round range of quasi- colour code, the region that the 6th group of camera is taken pictures are to photograph the 5th round range of benchmark colour code.
The present invention provides a kind of auto-alignment system based on machine vision, can be realized and is taken pictures using machine vision
It identifies colour code image, calculates physical location and carry out register control, register is accurate, is avoided that since colour code printing relationship causes to cover
The inaccurate problem of print.
Fig. 5 is referred to, Fig. 5 is the structural schematic diagram of one embodiment of auto-alignment system the present invention is based on machine vision.
The auto-alignment system 50 based on machine vision includes finding module 51, each group camera 52, control system 53,54 and of industrial personal computer
Control system 55.
The searching module 51, for finding each group scale region.
The each group camera 52 will be each in the corresponding each group scale region for each group scale region according to the searching
From the photo opportunity of scale region record and inform the control system 53.
The control system 53 works as roller for the photo opporunity according to the calculated respective scale region every time
When scale region corresponding by the photo opporunity, triggering photographing signals give respectively camera 52.
The each group camera 52 is also used to be captured each in the correspondence each group scale region according to the triggering photographing signals
From scale region, and the photo of the candid photograph is transferred to the industrial personal computer 54 by kilomega network.
The industrial personal computer 54 calculates the practical colour code and benchmark colour code of each group camera for the photo according to the transmission
Heart deviation of centre distance (△ X, △ Y) and register registration error, and by the practical colour code and benchmark of the calculated each group camera
Colour code heart deviation of centre distance (△ X, △ Y) and register registration error data are real-time transmitted to the control system 55.
The control system 55, for the practical colour code according to each group camera of the transmission with the heart in the minds of benchmark colour code away from inclined
Poor (△ X, △ Y) and register registration error data, calculate horizontal and vertical register value, and according to the calculated transverse direction and
Longitudinal register value carries out register control.
Optionally, the searching module 51, can be specifically used for:
Take pictures using machine vision and identify colour code image, each group scale region is found according to the colour code image of the identification
Optionally, the control system 53, can be specifically used for:
It is corresponding by the photo opporunity when roller every time according to the photo opporunity of the calculated respective scale region
Scale region when, photographing signals are triggered by speedy carding process module and give respective camera 52.
Optionally, the industrial personal computer 54, can be specifically used for:
According to the photo of the transmission, the colour code center of circle of benchmark and the center of circle of each print couple colour code are detected, and according to the inspection
The center of circle in the colour code center of circle for the benchmark measured and each print couple colour code calculates the practical colour code and benchmark colour code of each group camera
Heart deviation of centre distance (△ X, △ Y) and register registration error.
Fig. 6 is referred to, Fig. 6 is that the present invention is based on the structural representations of another embodiment of the auto-alignment system of machine vision
Figure.It is different from an embodiment, the auto-alignment system 60 based on machine vision described in the present embodiment further include: each group servo is driven
Dynamic device 61.
The each group servo-driver 61, in the control system 55 according to the calculated horizontal and vertical register
Value, before carrying out register control, according to the calculated horizontal and vertical register value, laterally or longitudinally motor is adjusted for control
The position of printing plate cylinder.
It is exemplified below the present embodiment:
Fig. 7 is referred to, Fig. 7 is to illustrate to anticipate the present invention is based on one action of another embodiment of the auto-alignment system of machine vision
Figure.As shown in fig. 7, control system is by taking set type flexible printing press as an example.As shown in fig. 7, the control system includes:
1 unreels structure, 2 front haulage rollers, 3 front haulage pressure rollers, 4 rear haulage rollers, 5 rear haulage pressure rollers, 6 rolling-up mechanisms, _ a color
Group roller, _ b colour cell net roll, _ c colour cell ink tank, _ e colour cell bottom roller, _ f colour cell baking oven;Control system includes: _ g colour cell camera sudden strain of a muscle
Light lamp such as gigabit network interface, _ h roller motor, _ i roller motor servo controller, the long-range io module of _ j colour cell for example can be with height
Fast output function, 7 interchangers, 8, industrial personal computer can for example be equipped with vision software.
The present invention provides a kind of register control equipment based on machine vision again, as shown in Figure 8, comprising: at least one
Manage device 81;And the memory 82 with the communication connection of at least one processor 81;Wherein, be stored with can be by least for memory 82
The instruction that one processor 81 executes, instruction is executed by least one processor 81, so that at least one processor 81 can be held
The above-mentioned register control method based on machine vision of row.
Wherein, memory 82 is connected with processor 81 using bus mode, and bus may include any number of interconnection
Bus and bridge, bus is by one or more processors 81 together with the various circuit connections of memory 82.Bus can also incite somebody to action
Together with various other circuit connections of management circuit or the like, these are all abilities for such as peripheral equipment, voltage-stablizer
Well known to domain, therefore, it will not be further described herein.Bus interface is provided between bus and transceiver and is connect
Mouthful.Transceiver can be an element, is also possible to multiple element, such as multiple receivers and transmitter, provides for passing
The unit communicated on defeated medium with various other devices.The data handled through processor 81 are carried out on the radio medium by antenna
Transmission, further, antenna also receives data and transfers data to processor 81.
Processor 81 is responsible for management bus and common processing, can also provide various functions, including timing, periphery connects
Mouthful, voltage adjusting, power management and other control functions.And memory 82 can be used for storage processor 81 and execute behaviour
Used data when making.
The present invention provides a kind of computer readable storage medium again, is stored with computer program.Computer program is processed
Device realizes above method embodiment when executing.
It can be found that above scheme, can find each group scale region and each group camera according to each group colour code of the searching
The photo opportunity of respective scale region in the corresponding each group scale region is recorded and is informed control system by region, and should
Control system is recorded according to the photo opportunity of the respective scale region of the informing, calculates taking pictures for the respective scale region
Time and the control system work as roller every time and pass through the bat according to the photo opporunity of the calculated respective scale region
When scale region corresponding according to the time, triggering photographing signals to this, respectively take pictures letter according to the triggering by camera and each group camera
Number, the respective scale region and each group camera captured in the correspondence each group scale region pass through the photo of the candid photograph
Kilomega network is transferred to industrial personal computer and the industrial personal computer according to the photo of the transmission, calculates the practical colour code and base of each group camera
Quasi- colour code deviation of centre distance (△ X, △ Y) and register registration error and the industrial personal computer are by the reality of the calculated each group camera
Border colour code and benchmark colour code deviation of centre distance (△ X, △ Y) and registration error data are real-time transmitted to control system and the control
System is according to the practical colour code of each group camera of the transmission and benchmark colour code deviation of centre distance (△ X, △ Y) and registration error number
According to, calculate horizontal and vertical register value and the control system according to the calculated horizontal and vertical register value, into
Row register control, can be realized take pictures using machine vision and identifies colour code image, calculates physical location and is covered automatically
Standard, register is accurate, is avoided that the problem for causing register inaccurate due to colour code printing relationship.
Further, above scheme, can use machine vision and take pictures and identify colour code image, according to the color of the identification
Logo image finds each group scale region, and can be realized even if colour code printing quality is not that very well, colour code circle thickness is different, can also be with
It by the fuzzy algorithmic approach of machine vision, calculates physical location and carries out register control, be thus avoided that since colour code prints relationship
The problem of leading to register trouble.
Further, above scheme, control system can be according to the photo opporunities of calculated respective scale region, often
It is secondary when roller is by the corresponding scale region of the photo opporunity, photographing signals are triggered by speedy carding process module and give the respective phase
Machine, such benefit are the photo opporunities that can accurately provide respective scale region, and the sound of the speedy carding process module
It is very short between seasonable, accordingly even when response speed can also be got caught up at high speeds, it can be realized the printing applied in high speed
Equipment, gold stamping device, on die-cutting device.
Further, above scheme, industrial personal computer according to the photo of transmission, can detect the colour code center of circle and each group of benchmark
The center of circle of colour code, and according to the center of circle in the colour code center of circle of the benchmark detected and each group colour code, calculate the reality of each group camera
Border colour code and benchmark colour code deviation of centre distance (△ X, △ Y) and registration error, can be realized and observe each camera unit in real time
Register situation, then carry out real-time register control.
Further, above scheme is covered automatically in control system according to calculated horizontal and vertical register value
Before standard, each group servo-driver can control laterally or longitudinally motor according to the calculated horizontal and vertical register value
The position of roller is adjusted, the accuracy rate of register can be effectively improved, can effectively be avoided the occurrence of since colour code printing relationship causes
The inaccurate problem of register.
In several embodiments provided by the present invention, it should be understood that disclosed system, device and method can
To realize by another way.For example, device embodiments described above are only schematical, for example, module or
The division of unit, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units
Or component can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, institute
Display or the mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, device or unit
Indirect coupling or communication connection can be electrical property, mechanical or other forms.
Unit may or may not be physically separated as illustrated by the separation member, shown as a unit
Component may or may not be physical unit, it can and it is in one place, or may be distributed over multiple networks
On unit.It can select some or all of unit therein according to the actual needs to realize the mesh of present embodiment scheme
's.
In addition, each functional unit in each embodiment of the present invention can integrate in one processing unit, it can also
To be that each unit physically exists alone, can also be integrated in one unit with two or more units.It is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.
It, can if integrated unit is realized in the form of SFU software functional unit and when sold or used as an independent product
To be stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention substantially or
Say that all or part of the part that contributes to existing technology or the technical solution can embody in the form of software products
Out, which is stored in a storage medium, including some instructions are used so that a computer equipment
(can be personal computer, server or the network equipment etc.) or processor (processor) execute each implementation of the present invention
The all or part of the steps of methods.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM,
Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. it is various
It can store the medium of program code.
The foregoing is merely section Examples of the invention, are not intended to limit protection scope of the present invention, all utilizations
Equivalent device made by description of the invention and accompanying drawing content or equivalent process transformation are applied directly or indirectly in other correlations
Technical field, be included within the scope of the present invention.
Claims (10)
1. a kind of register control method based on machine vision characterized by comprising
Find each group scale region;
Each group camera is according to each group scale region of the searching, by the respective color scale space in the correspondence each group scale region
The photo opportunity in domain records and informs control system;
The control system is recorded according to the photo opportunity of the respective scale region of the informing, calculates the respective color
Mark the photo opporunity in region;
The control system works as roller every time and passes through institute according to the photo opporunity of the calculated respective scale region
When stating the corresponding scale region of photo opporunity, triggering photographing signals give the respective camera;
The each group camera captures the respective color in the correspondence each group scale region according to the triggering photographing signals
Mark region;
The photo of the candid photograph is transferred to industrial personal computer by kilomega network by each group camera;
The industrial personal computer according to the photo of the transmission, calculate each group camera practical colour code and benchmark colour code center away from
Deviation (△ X, △ Y) and registration error;
The industrial personal computer is by the practical colour code of the calculated each group camera and benchmark colour code deviation of centre distance (△ X, △
Y) and registration error data are real-time transmitted to control system;
The control system according to the practical colour code of each group camera of the transmission and benchmark colour code deviation of centre distance (△ X,
△ Y) and registration error data, calculate horizontal and vertical register value;
The control system carries out register control according to the calculated horizontal and vertical register value.
2. the register control method based on machine vision as described in claim 1, which is characterized in that the searching each group colour code
Region, comprising:
Take pictures using machine vision and identify colour code image, each group scale region is found according to the colour code image of the identification.
3. the register control method based on machine vision as described in claim 1, which is characterized in that the control system according to
The photo opporunity of the calculated respective scale region, every time when roller passes through the corresponding colour code of the photo opporunity
When region, triggering photographing signals give the respective camera, comprising:
The control system works as roller every time and passes through institute according to the photo opporunity of the calculated respective scale region
When stating the corresponding scale region of photo opporunity, photographing signals are triggered to the respective camera by speedy carding process module.
4. the register control method based on machine vision as described in claim 1, which is characterized in that the industrial personal computer is according to institute
The photo for stating transmission calculates the practical colour code and benchmark colour code deviation of centre distance (△ X, △ Y) and register of each group camera
Error, comprising:
The industrial personal computer detects the colour code center of circle of benchmark and the center of circle of each group colour code according to the photo of the transmission, and according to
The colour code center of circle of the benchmark detected and the center of circle of each group colour code calculate the practical colour code and benchmark of each group camera
Colour code deviation of centre distance (△ X, △ Y) and registration error.
5. the register control method based on machine vision as described in claim 1, which is characterized in that in the control system root
According to the calculated horizontal and vertical register value, before carrying out register control, further includes:
Each group servo-driver is according to the calculated horizontal and vertical register value, and laterally or longitudinally motor adjusts for control
The position of roller.
6. a kind of auto-alignment system based on machine vision characterized by comprising
Find module, each group camera, control system, industrial personal computer and control system;
The searching module, for finding each group scale region;
The each group camera will be each in the correspondence each group scale region for each group scale region according to the searching
From the photo opportunity of scale region record and inform the control system;
The control system works as roller for the photo opporunity according to the calculated respective scale region every time
When scale region corresponding by the photo opporunity, triggering photographing signals give the respective camera;
The each group camera is also used to be captured in the correspondence each group scale region according to the triggering photographing signals
Respective scale region, and the photo of the candid photograph is transferred to the industrial personal computer by kilomega network;
The industrial personal computer calculates the practical colour code and benchmark colour code of each group camera for the photo according to the transmission
Deviation of centre distance (△ X, △ Y) and registration error, and by the practical colour code and reference colours of the calculated each group camera
Mark deviation of centre distance (△ X, △ Y) and registration error data are real-time transmitted to the control system;
The control system, for the practical colour code and benchmark colour code deviation of centre distance according to each group camera of the transmission
(△ X, △ Y) and registration error data calculate horizontal and vertical register value, and according to described calculated horizontal and vertical
Register value, carry out register control.
7. as claimed in claim 6 based on the auto-alignment system of machine vision, which is characterized in that the searching module, tool
Body is used for:
Take pictures using machine vision and identify colour code image, each group scale region is found according to the colour code image of the identification.
8. as claimed in claim 6 based on the auto-alignment system of machine vision, which is characterized in that the control system, tool
Body is used for:
According to the photo opporunity of the calculated respective scale region, every time when roller passes through the photo opporunity pair
When the scale region answered, photographing signals are triggered to the respective camera by speedy carding process module.
9. as claimed in claim 6 based on the auto-alignment system of machine vision, which is characterized in that the industrial personal computer, specifically
For:
According to the photo of the transmission, the colour code center of circle of benchmark and the center of circle of each group colour code are detected, and detected according to described
Benchmark the colour code center of circle and each group colour code the center of circle, calculate each group camera practical colour code and benchmark colour code center away from
Deviation (△ X, △ Y) and registration error.
10. as claimed in claim 6 based on the auto-alignment system of machine vision, which is characterized in that described to be regarded based on machine
The auto-alignment system of feel, further includes:
Each group servo-driver, for, according to the calculated horizontal and vertical register value, being carried out in the control system
Before register control, according to the calculated horizontal and vertical register value, laterally or longitudinally motor adjusts roller for control
Position.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910232733.0A CN110091590B (en) | 2019-03-26 | 2019-03-26 | Automatic registration method, system and equipment based on machine vision |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910232733.0A CN110091590B (en) | 2019-03-26 | 2019-03-26 | Automatic registration method, system and equipment based on machine vision |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110091590A true CN110091590A (en) | 2019-08-06 |
CN110091590B CN110091590B (en) | 2020-11-27 |
Family
ID=67443086
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910232733.0A Active CN110091590B (en) | 2019-03-26 | 2019-03-26 | Automatic registration method, system and equipment based on machine vision |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110091590B (en) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110509680A (en) * | 2019-09-10 | 2019-11-29 | 深圳市冠为科技股份有限公司 | A kind of printing registration method and system |
CN110802960A (en) * | 2019-10-28 | 2020-02-18 | 西门子工厂自动化工程有限公司 | Unit type flexible printing machine overprinting method, device, system and computer readable medium |
CN111605305A (en) * | 2020-04-29 | 2020-09-01 | 陕西北人印刷机械有限责任公司 | Paper transverse deformation control device and control method thereof |
CN113213211A (en) * | 2021-05-28 | 2021-08-06 | 杨彬 | Automatic paper deviation rectifying method and equipment for post-printing equipment |
CN113658237A (en) * | 2021-08-24 | 2021-11-16 | 凌云光技术股份有限公司 | Registration result correction method and device |
CN113665241A (en) * | 2021-08-24 | 2021-11-19 | 凌云光技术股份有限公司 | Automatic registration method and device |
CN113682050A (en) * | 2021-08-24 | 2021-11-23 | 凌云光技术股份有限公司 | Method for collecting registration target |
CN114953788A (en) * | 2022-06-27 | 2022-08-30 | 深圳市润天智数字设备股份有限公司 | Registration deviation detection method and related equipment |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2000326493A (en) * | 1999-05-24 | 2000-11-28 | Toppan Printing Co Ltd | Register monitoring device and register monitor regulator |
CN101003202A (en) * | 2007-01-19 | 2007-07-25 | 长春市吉海测控技术有限责任公司 | Method of using camera to carry out controlling automatic alignment for printing machine |
CN101007458A (en) * | 2007-02-01 | 2007-08-01 | 洛阳圣瑞机电技术有限公司 | Printing registration test method |
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 |
JP2016055582A (en) * | 2014-09-12 | 2016-04-21 | 株式会社小森コーポレーション | Method and device for adjusting position of imaging means for detecting misregister of printer |
CN106079889A (en) * | 2016-07-13 | 2016-11-09 | 苏州光图智能科技有限公司 | Trapping printing system based on image procossing |
CN106739485A (en) * | 2016-12-13 | 2017-05-31 | 北京印刷学院 | A kind of printing machine longitudinal direction alignment on-line checking and method for diagnosing faults and device |
-
2019
- 2019-03-26 CN CN201910232733.0A patent/CN110091590B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2000326493A (en) * | 1999-05-24 | 2000-11-28 | Toppan Printing Co Ltd | Register monitoring device and register monitor regulator |
CN101003202A (en) * | 2007-01-19 | 2007-07-25 | 长春市吉海测控技术有限责任公司 | Method of using camera to carry out controlling automatic alignment for printing machine |
CN101007458A (en) * | 2007-02-01 | 2007-08-01 | 洛阳圣瑞机电技术有限公司 | Printing registration test method |
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 |
JP2016055582A (en) * | 2014-09-12 | 2016-04-21 | 株式会社小森コーポレーション | Method and device for adjusting position of imaging means for detecting misregister of printer |
CN106079889A (en) * | 2016-07-13 | 2016-11-09 | 苏州光图智能科技有限公司 | Trapping printing system based on image procossing |
CN106739485A (en) * | 2016-12-13 | 2017-05-31 | 北京印刷学院 | A kind of printing machine longitudinal direction alignment on-line checking and method for diagnosing faults and device |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110509680A (en) * | 2019-09-10 | 2019-11-29 | 深圳市冠为科技股份有限公司 | A kind of printing registration method and system |
CN110802960A (en) * | 2019-10-28 | 2020-02-18 | 西门子工厂自动化工程有限公司 | Unit type flexible printing machine overprinting method, device, system and computer readable medium |
CN110802960B (en) * | 2019-10-28 | 2021-05-14 | 西门子工厂自动化工程有限公司 | Unit type flexible printing machine overprinting method, device, system and computer readable medium |
CN111605305A (en) * | 2020-04-29 | 2020-09-01 | 陕西北人印刷机械有限责任公司 | Paper transverse deformation control device and control method thereof |
CN113213211A (en) * | 2021-05-28 | 2021-08-06 | 杨彬 | Automatic paper deviation rectifying method and equipment for post-printing equipment |
CN113213211B (en) * | 2021-05-28 | 2022-12-06 | 玉田县华泰精工机械有限公司 | Automatic paper deviation rectifying method and equipment for post-printing equipment |
CN113658237A (en) * | 2021-08-24 | 2021-11-16 | 凌云光技术股份有限公司 | Registration result correction method and device |
CN113665241A (en) * | 2021-08-24 | 2021-11-19 | 凌云光技术股份有限公司 | Automatic registration method and device |
CN113682050A (en) * | 2021-08-24 | 2021-11-23 | 凌云光技术股份有限公司 | Method for collecting registration target |
CN113658237B (en) * | 2021-08-24 | 2024-04-26 | 凌云光技术股份有限公司 | Registration result correction method and device |
CN114953788A (en) * | 2022-06-27 | 2022-08-30 | 深圳市润天智数字设备股份有限公司 | Registration deviation detection method and related equipment |
Also Published As
Publication number | Publication date |
---|---|
CN110091590B (en) | 2020-11-27 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110091590A (en) | A kind of register control method and system and equipment based on machine vision | |
DE102015101710B4 (en) | A method of calibrating a moveable gripping member using a remote digital camera | |
US6445814B2 (en) | Three-dimensional information processing apparatus and method | |
CN109376589B (en) | ROV deformation small target identification method based on convolution kernel screening SSD network | |
CN102294695A (en) | Robot calibration method and calibration system | |
CN111753712A (en) | Method, system and equipment for monitoring safety of power production personnel | |
CN109919038A (en) | Power distribution cabinet square pressing plate state identification method based on machine vision and deep learning | |
CN109784200B (en) | Binocular vision-based cow behavior image acquisition and body condition intelligent monitoring system | |
DE102013113490A1 (en) | Method and system for estimating a position of a camera | |
CN114799573B (en) | Die cutting device and method for lithium battery pole piece | |
CN110458814A (en) | A kind of detection method of wood single-plate defect, apparatus and system | |
CN109760070A (en) | Robot elevator push button position control method and system | |
CN109272546A (en) | A kind of fry length measurement method and system | |
CN110717994A (en) | Method for realizing remote video interaction and related equipment | |
CN114998447A (en) | Multi-view vision calibration method and system | |
CN114040116A (en) | Plastic mould good product monitoring feedback system | |
CN110181518A (en) | Installation method, the storage medium of mould group | |
CN110349209A (en) | Vibrating spear localization method based on binocular vision | |
CN109727289A (en) | Location determining method, device and the computer equipment of pulse condition perception point | |
CN113476014B (en) | System and method for establishing corresponding relation of double coordinate systems | |
CN105447007A (en) | Electronic device and data processing method | |
CN110889847A (en) | Nuclear radiation damage assessment system and method based on infrared imaging | |
CN115445963A (en) | Disordered wire sorting method, device and system | |
CN115498371A (en) | Slicing system and method based on lithium battery tab spacing | |
CN209000869U (en) | A kind of crystal silicon photovoltaic electrode of solar battery secondary printing precision vision inspection apparatus |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |