CN206114546U - Printing defect vision detection system - Google Patents
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- CN206114546U CN206114546U CN201621065695.2U CN201621065695U CN206114546U CN 206114546 U CN206114546 U CN 206114546U CN 201621065695 U CN201621065695 U CN 201621065695U CN 206114546 U CN206114546 U CN 206114546U
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- 230000007547 defect Effects 0.000 title claims abstract description 37
- 238000001514 detection method Methods 0.000 title claims abstract description 25
- 238000006073 displacement reaction Methods 0.000 claims abstract description 19
- 238000012545 processing Methods 0.000 claims abstract description 14
- 230000007704 transition Effects 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 2
- 230000005622 photoelectricity Effects 0.000 claims 1
- 238000000034 method Methods 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 4
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- 230000002950 deficient Effects 0.000 description 2
- JEIPFZHSYJVQDO-UHFFFAOYSA-N ferric oxide Chemical compound O=[Fe]O[Fe]=O JEIPFZHSYJVQDO-UHFFFAOYSA-N 0.000 description 2
- 238000012913 prioritisation Methods 0.000 description 2
- 239000000654 additive Substances 0.000 description 1
- 230000000996 additive effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000003709 image segmentation Methods 0.000 description 1
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- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- 238000012372 quality testing Methods 0.000 description 1
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Abstract
The utility model discloses a printing defect vision detection system, including movement control module, image gathering module, image processing module, movement control module includes conveyer belt, motor, machine controller, laser displacement sensor and photoelectric encoder, image gathering module includes linear array camera, image acquisition card and light source, image acquisition card links to each other respectively and with the control end of linear array camera, photoelectric encoder's output, laser displacement sensor's output for input signal control linear array camera work according to photoelectric encoder, laser displacement sensor, the synthetic complete target image of image mosaicking that image processing module gathered the linear array camera matches its and predetermined template image, exports after calculating shape, size and the position of defect. The utility model provides a vision detection system implementation is simple, with low costs, the precision is high, the robustness is strong, can effectively improve defect detecting's independence, high efficiency, accuracy nature.
Description
Technical field
This utility model is related to mechanical vision inspection technology field, more particularly to a kind of printing defects vision detection system.
Background technology
The life of contemporary people be unable to do without various leaflet, such as newspaper, magazine etc..But due to the imperfection of printing technology
With the impact of random factor, printed matter surface generally occurs various defects, it is common mainly have cross-color, ink bespatter,
Ink dot, word are obscured, are wrinkled, biting, scratch etc..Therefore the print quality that is rigid in checking up is needed, defective work is removed in time.
Past, printing enterprise was mainly by experienced workman to complete the quality testing of product, i.e. workman every one section
Time carries out naked eyes detection to the sample for extracting.But manual detection has many serious problems in actual applications：Cannot
Ensure the stability of product quality, the total quality of product cannot be ensured, unified judgment criteria, detection speed mistake cannot be formulated
Slow and high cost.
With the foundation and development of machine vision theoretical system, machine vision theory is in commercial production, medical diagnosiss
And other field is widely used.By this inspiration, related scholar both domestic and external considers for machine vision technique to be applied to print
Brush defects detection field, to improve the quality of detection.
In printing defects detection process, visible detection method has unrivaled advantage：
(1) real-time, on-line real-time measuremen, speed are fast, do not interfere with the normal operation of system；
(2) it is untouchable, non-cpntact measurement is carried out by camera, without compromising on printed matter surface quality；
(3) seriality, can long-time continuous detecting, will not because of fatigue and cause flase drop；
(4) automatization, can partly or entirely depart from artificial, realize automatization to a certain extent.
Utility model content
Technical problem to be solved in the utility model is for defect involved in background technology, there is provided Yi Zhongyin
Brush defective vision detecting system, high precision are safe and reliable, autonomous in real time.
This utility model is employed the following technical solutions to solve above-mentioned technical problem：
A kind of printing defects vision detection system, including motion-control module, image capture module and image processing module；
The motion-control module includes conveyer belt, motor, electric machine controller, laser displacement sensor and photoelectric coding
Device, wherein, the electric machine controller makes which drive conveyer belt transmission testee for motor；The laser displacement sensing
Device is arranged on one end of conveyer belt, for calculating testee in real time to the distance of laser displacement sensor, when the distance is equal to
During default distance threshold, positive transition signal is exported in outfan；The photoelectric encoder is arranged on the axle of the motor, is used
In real-time output motor rotate pulse signal to image capture module；
Described image acquisition module includes line-scan digital camera, image pick-up card and light source, described image capture card respectively and with
The control end of the line-scan digital camera, the outfan of photoelectric encoder, the outfan of laser displacement sensor are connected, for according to light
The output signal control line-scan digital camera work of photoelectric coder, laser displacement sensor；The light source is for carrying out to testee
Illumination；The line-scan digital camera is operated for the order according to image pick-up card, and the image for shooting gained is passed to institute
State image processing module；
Described image processing module synthesizes complete target image, which is entered for the image mosaic for gathering line-scan digital camera
After row Image semantic classification, itself and default template image are matched, whether there is defect in judging target image, if mesh
Logo image collects existing defects, then export after calculating the shape of defect, size and location.
Used as a kind of further prioritization scheme of printing defects vision detection system of this utility model, described image processes mould
Block adopts AVR series monolithics.
Used as a kind of further prioritization scheme of printing defects vision detection system of this utility model, described image processes mould
Block adopts Atmega168PA single-chip microcomputers.
This utility model adopts above technical scheme compared with prior art, with following technique effect：
The vision detection system that this utility model is provided can provide all information for printing defects detection, and which implements letter
List, low cost, high precision, strong robustness, can effectively improve autonomy, high efficiency and the accuracy of printing defects detection.
Description of the drawings
Fig. 1 is this utility model printing defects vision detection system structural representation；
Fig. 2 is each module diagram in this utility model printing defects vision detection system.
Specific embodiment
Below in conjunction with the accompanying drawings the technical solution of the utility model is described in further detail：
Fig. 1 is this utility model printing defects vision detection system structural representation, including template image, motor control mould
Block, image capture module, image processing module.
The template image is to carry out the standard picture obtained by image acquisition in advance to flawless object, is that printing lacks
Sunken vision detection system provides examination criteria.Whenever detecting system has collected defect image, needs are compared simultaneously with template image
A series of algorithm process is done, size, shape and the positional information of defect is obtained.
The motion-control module as shown in Fig. 2 bottoms, mainly including conveyer belt, direct current generator, electric machine controller, laser
Displacement transducer and photoelectric encoder.Testee is placed on a moving belt, and electric machine controller motor makes conveyer belt level
It is mobile.Laser displacement sensor is arranged on one end of conveyer belt, for calculating testee in real time to laser displacement sensor
Distance, when the distance threshold of setting is reached, its outfan will send a positive transition signal, that is, start photographing signals, should
Signal can be input to image capture module and take pictures to control camera and proceed by.Photoelectric encoder is arranged on motor shaft, its
Outfan can the pulse signal that rotates of real-time output motor to image capture module, i.e. line trigger.Image capture module meter
Calculate the number of pulse, every default umber of pulse threshold value, will triggering collection primary measured object image.
The groundwork of described image acquisition module is that the sensor information being input into by motion-control module is adopted to trigger
The image of collection testee, and the image for collecting is input to into image processing module.Image capture module includes linear array phase
Machine, image pick-up card and light source, wherein, control end of the described image capture card respectively and with the line-scan digital camera, photoelectric coding
The outfan of device, the outfan of laser displacement sensor are connected, for the output according to photoelectric encoder, laser displacement sensor
Signal control line array camera works；The light source is for being illuminated to testee.As shown in Fig. 2 line-scan digital camera and light source
It is placed on above testee, line-scan digital camera is different from conventional area array cameras, takes pictures every time and can only clap single line, therefore shoots
The complete two dimensional image of one width, needs two kinds of triggers, is to start photographing signals and line trigger respectively, respectively from figure
The laser displacement sensor signal received as capture card and photoelectric encoder signal.Image pick-up card meeting real-time sampling starts to take pictures
The input port of signal, if detecting a positive transition, can trigger line-scan digital camera and start to take pictures, and start simultaneously at the line for calculating input
Trigger pulse number, often reaches default umber of pulse threshold value, then triggering line-scan digital camera carries out once photo taking.
Described image processing module is read in image from image capture module and is processed.Figure first to line-scan digital camera collection
As carrying out splicing the complete target image of one width of synthesis, then which is carried out to include the Image semantic classification of filtering and noise reduction, feature extraction；
Then image registration is carried out, realizes that target image and each characteristics of image of template image spatially align；Then by two width
Image does additive operation, obtains those suspected defects region, that is, finding out the difference between target image and template image, if defect picture
Vegetarian refreshments number is less, i.e., the two is approximately the same under conditions of permission, then the qualified no defect of explanation object to be detected, and if
The two has larger difference, then can further carry out image segmentation and extract each defect block and calculate every defect parameters, as in
Heart coordinate, area, Area length ratio, defect pixel dutycycle, average gray value etc. come compare determine the shape of defect, size and
The target image and defect information are eventually shown to user by position.
Described image processing module adopts AVR series monolithics, preferentially adopts Atmega168PA single-chip microcomputers.
Those skilled in the art of the present technique it is understood that unless otherwise defined, all terms used herein（Including skill
Art term and scientific terminology）With with this utility model art in those of ordinary skill general understanding identical meaning
Justice.It should also be understood that those terms defined in such as general dictionary are should be understood that with upper with prior art
The consistent meaning of meaning hereinafter, and unless defined as here, will not with idealization or excessively formal implication come
Explain.
The above specific embodiment, has carried out entering one to the purpose of this utility model, technical scheme and beneficial effect
Step is described in detail, be should be understood that to the foregoing is only specific embodiment of the present utility model, is not limited to
This utility model, all within spirit of the present utility model and principle, any modification, equivalent substitution and improvements done etc. all should
It is included within protection domain of the present utility model.
Claims (3)
1. a kind of printing defects vision detection system, it is characterised in that including motion-control module, image capture module and image
Processing module；
The motion-control module includes conveyer belt, motor, electric machine controller, laser displacement sensor and photoelectric encoder, its
In, the electric machine controller makes which drive conveyer belt transmission testee for motor；The laser displacement sensor sets
Put in one end of conveyer belt, for testee being calculated in real time to the distance of laser displacement sensor, preset when the distance is equal to
Distance threshold when, outfan export positive transition signal；The photoelectric encoder is arranged on the axle of the motor, for reality
When output motor rotate pulse signal to image capture module；
Described image acquisition module includes line-scan digital camera, image pick-up card and light source, described image capture card respectively and with it is described
The control end of line-scan digital camera, the outfan of photoelectric encoder, the outfan of laser displacement sensor are connected, for being compiled according to photoelectricity
The output signal control line-scan digital camera work of code device, laser displacement sensor；The light source is for being illuminated to testee；
The line-scan digital camera is operated for the order according to image pick-up card, and the image for shooting gained is passed to described image
Processing module；
Described image processing module synthesizes complete target image, carries out figure to which for the image mosaic for gathering line-scan digital camera
As, after pretreatment, itself and default template image being matched, whether there is defect in judging target image, if target figure
As collecting existing defects, then export after calculating the shape of defect, size and location.
2. printing defects vision detection system according to claim 1, it is characterised in that described image processing module is adopted
AVR series monolithics.
3. printing defects vision detection system according to claim 2, it is characterised in that described image processing module is adopted
Atmega168PA single-chip microcomputers.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201621065695.2U CN206114546U (en) | 2016-09-19 | 2016-09-19 | Printing defect vision detection system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201621065695.2U CN206114546U (en) | 2016-09-19 | 2016-09-19 | Printing defect vision detection system |
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| CN206114546U true CN206114546U (en) | 2017-04-19 |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107284057A (en) * | 2017-06-20 | 2017-10-24 | 深圳华云数码有限公司 | Machine Vision Inspecting System and method |
| CN107944252A (en) * | 2017-12-18 | 2018-04-20 | 乐清咔咔网络科技有限公司 | A kind of method of information seal impression uniqueness characteristic extraction |
| CN108267455A (en) * | 2018-03-08 | 2018-07-10 | 陕西科技大学 | plastic film printing character defect detecting device and method |
| CN108820953A (en) * | 2018-03-30 | 2018-11-16 | 湖北工程学院 | PVC facial mask detection method and device |
| CN109596631A (en) * | 2018-12-13 | 2019-04-09 | 中国电子科技集团公司第四十研究所 | A kind of cigarette packet seal mistake board detection device and method based on machine vision technique |
| CN109663753A (en) * | 2019-01-16 | 2019-04-23 | 深圳至汉装备科技有限公司 | A kind of device by template pattern on-line checking paper print quality |
| CN109685777A (en) * | 2018-12-11 | 2019-04-26 | 北京理工大学 | Image processing method and device |
| CN110763687A (en) * | 2019-10-30 | 2020-02-07 | 江苏理工学院 | Medical treatment cylinder syringe defect detecting device |
| CN110802950A (en) * | 2019-05-23 | 2020-02-18 | 深圳圣德京粤科技有限公司 | Method for adjusting color deviation of digital printing |
| CN110940670A (en) * | 2019-11-25 | 2020-03-31 | 佛山缔乐视觉科技有限公司 | Flexible printing label printing head draft detection system based on machine vision and implementation method thereof |
| CN112333361A (en) * | 2020-10-30 | 2021-02-05 | 曰轮法寺 | Image acquisition method, target detection device, storage medium and equipment |
| CN112858321A (en) * | 2021-02-22 | 2021-05-28 | 南京理工大学 | Steel plate surface defect detection system and method based on linear array CCD |
| CN114088591A (en) * | 2021-12-06 | 2022-02-25 | 上海易清智觉自动化科技有限公司 | Fine particle size detection device and method |
| CN114192990A (en) * | 2021-12-02 | 2022-03-18 | 武汉华工激光工程有限责任公司 | Linear array camera image capturing control system and method applied to IC (integrated circuit) support plate laser marking machine |
| CN114486937A (en) * | 2022-02-15 | 2022-05-13 | 凌云光技术股份有限公司 | Online defect detection device and method for die-cutting machine |
| CN114598814A (en) * | 2022-02-28 | 2022-06-07 | 厦门聚视智创科技有限公司 | Multi-bit line camera scanning trigger control system |
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- 2016-09-19 CN CN201621065695.2U patent/CN206114546U/en not_active Expired - Fee Related
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107284057B (en) * | 2017-06-20 | 2019-09-06 | 深圳华云数码有限公司 | Machine Vision Inspecting System and method |
| CN107284057A (en) * | 2017-06-20 | 2017-10-24 | 深圳华云数码有限公司 | Machine Vision Inspecting System and method |
| CN107944252B (en) * | 2017-12-18 | 2021-07-06 | 乐清咔咔网络科技有限公司 | Method for extracting uniqueness characteristic of seal impression of information seal |
| CN107944252A (en) * | 2017-12-18 | 2018-04-20 | 乐清咔咔网络科技有限公司 | A kind of method of information seal impression uniqueness characteristic extraction |
| CN108267455A (en) * | 2018-03-08 | 2018-07-10 | 陕西科技大学 | plastic film printing character defect detecting device and method |
| CN108267455B (en) * | 2018-03-08 | 2023-11-28 | 陕西科技大学 | Device and method for detecting defects of printed characters of plastic film |
| CN108820953A (en) * | 2018-03-30 | 2018-11-16 | 湖北工程学院 | PVC facial mask detection method and device |
| CN109685777A (en) * | 2018-12-11 | 2019-04-26 | 北京理工大学 | Image processing method and device |
| CN109596631A (en) * | 2018-12-13 | 2019-04-09 | 中国电子科技集团公司第四十研究所 | A kind of cigarette packet seal mistake board detection device and method based on machine vision technique |
| CN109596631B (en) * | 2018-12-13 | 2021-09-03 | 中国电子科技集团公司第四十一研究所 | Cigarette packet seal wrong-brand detection device and method based on machine vision technology |
| CN109663753A (en) * | 2019-01-16 | 2019-04-23 | 深圳至汉装备科技有限公司 | A kind of device by template pattern on-line checking paper print quality |
| CN110802950A (en) * | 2019-05-23 | 2020-02-18 | 深圳圣德京粤科技有限公司 | Method for adjusting color deviation of digital printing |
| CN110802950B (en) * | 2019-05-23 | 2021-06-15 | 深圳圣德京粤科技有限公司 | Method for adjusting color deviation of digital printing |
| CN110763687A (en) * | 2019-10-30 | 2020-02-07 | 江苏理工学院 | Medical treatment cylinder syringe defect detecting device |
| CN110940670A (en) * | 2019-11-25 | 2020-03-31 | 佛山缔乐视觉科技有限公司 | Flexible printing label printing head draft detection system based on machine vision and implementation method thereof |
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| CN112858321A (en) * | 2021-02-22 | 2021-05-28 | 南京理工大学 | Steel plate surface defect detection system and method based on linear array CCD |
| CN114192990A (en) * | 2021-12-02 | 2022-03-18 | 武汉华工激光工程有限责任公司 | Linear array camera image capturing control system and method applied to IC (integrated circuit) support plate laser marking machine |
| CN114088591A (en) * | 2021-12-06 | 2022-02-25 | 上海易清智觉自动化科技有限公司 | Fine particle size detection device and method |
| CN114088591B (en) * | 2021-12-06 | 2024-05-10 | 上海易清智觉自动化科技有限公司 | Fine particle size detection device and method |
| CN114486937A (en) * | 2022-02-15 | 2022-05-13 | 凌云光技术股份有限公司 | Online defect detection device and method for die-cutting machine |
| CN114486937B (en) * | 2022-02-15 | 2023-10-20 | 凌云光技术股份有限公司 | Online defect detection device and method for die cutting machine |
| CN114598814A (en) * | 2022-02-28 | 2022-06-07 | 厦门聚视智创科技有限公司 | Multi-bit line camera scanning trigger control system |
| CN115086522A (en) * | 2022-06-10 | 2022-09-20 | 福州大学 | Method for acquiring image of surface of bar-shaped metal |
| CN115190239A (en) * | 2022-06-27 | 2022-10-14 | 联宝(合肥)电子科技有限公司 | Image acquisition method and device, electronic equipment and storage medium |
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