CN113436196B - Two-dimensional code film production management system based on image recognition technology - Google Patents
Two-dimensional code film production management system based on image recognition technology Download PDFInfo
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- CN113436196B CN113436196B CN202110992843.4A CN202110992843A CN113436196B CN 113436196 B CN113436196 B CN 113436196B CN 202110992843 A CN202110992843 A CN 202110992843A CN 113436196 B CN113436196 B CN 113436196B
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- 239000012528 membrane Substances 0.000 claims abstract description 5
- 241001156002 Anthonomus pomorum Species 0.000 claims description 7
- 238000001228 spectrum Methods 0.000 claims description 4
- 230000003746 surface roughness Effects 0.000 claims description 3
- 239000000126 substance Substances 0.000 claims description 2
- 238000000034 method Methods 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 5
- 230000001276 controlling effect Effects 0.000 description 4
- 230000010354 integration Effects 0.000 description 3
- 239000002985 plastic film Substances 0.000 description 2
- 229920006255 plastic film Polymers 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 238000007592 spray painting technique Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
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- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
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- 230000007613 environmental effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
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- 238000012423 maintenance Methods 0.000 description 1
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- 238000010422 painting Methods 0.000 description 1
- 239000004033 plastic Substances 0.000 description 1
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- 230000001105 regulatory effect Effects 0.000 description 1
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- 239000000758 substrate Substances 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
- G06K7/1404—Methods for optical code recognition
- G06K7/146—Methods for optical code recognition the method including quality enhancement steps
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30144—Printing quality
Abstract
The invention discloses a two-dimensional code film production management system based on an image recognition technology, which comprises an on-line terminal used for controlling a two-dimensional code film production line and also comprises: the image acquisition device is used for acquiring and outputting the image of the sample film printed with the two-dimensional code; the primary image processing module is connected to the image acquisition device and used for performing out-of-focus detection on the image information output by the image acquisition device and transmitting primary result information to the online terminal; and the online terminal is used for introducing an adjusting model based on the membrane sample effect to analyze the result information and outputting corresponding production regulation and control information. This application has the effect of improving two-dimensional code membrane printing definition.
Description
Technical Field
The application relates to the technical field of composite film production and processing, in particular to a two-dimensional code film production management system based on an image recognition technology.
Background
Along with the development of the internet, the popularization of the two-dimensional code is more and more extensive, so that people can more conveniently consume or surf the internet in daily life, and accordingly, the substrate requirements for printing and painting the two-dimensional code are more and more large.
At present, most of the two-dimensional code bottom plates on the market are made of paper, paper plastic, PVC and other plastic film materials. The paper is easy to be affected with damp and damaged by environmental factors such as weather, while the industrial standards and technical parameters of the plastic films are different, so that products with the problems of unclear spray painting, ink blurring and the like are easy to appear, and therefore the application provides a new technical scheme.
Disclosure of Invention
In order to improve the product quality of two-dimensional code, the application provides a two-dimensional code film production management system based on image recognition technology.
The utility model provides a two-dimensional code film production management system based on image recognition technology, includes the on-line terminal that is used for doing control to two-dimensional code film production line, still includes:
the image acquisition device is used for acquiring and outputting the image of the sample film printed with the two-dimensional code; and the number of the first and second groups,
the primary image processing module is connected to the image acquisition device and used for executing out-of-focus detection on the image information output by the image acquisition device and transmitting primary result information to the online terminal;
and the online terminal is used for introducing an adjusting model based on the membrane sample effect to analyze the result information and outputting corresponding production regulation and control information.
Optionally, the primary image processing module performs out-of-focus detection in a manner without a reference image.
Optionally, the system further comprises a secondary image processing module; the secondary image processing module is connected with the primary image processing module and is used for executing Gaussian blur processing on qualified primary result information, comparing the change quantity of adjacent pixel values of the original image and the processed image and transmitting secondary result information to the online terminal;
optionally, the device further comprises a roughness detection module, wherein the roughness detection module is used for detecting the roughness of the printing surface of the sample film and transmitting the roughness to an on-line terminal; the on-line terminal is also used for establishing a relation curve of the roughness and the definition of the two-dimensional code.
Optionally, the system further comprises a fault processing module, wherein the fault processing module is connected to the primary image processing module, the secondary image processing module and the online terminal, and is used for comparing result information corresponding to two adjacent samples and transmitting a self-checking instruction to the secondary image processing module and the online terminal when the result information is consistent.
Optionally, the secondary image processing module is configured to respond to the self-checking instruction, perform gaussian blur processing on image information sampled at a previous time, compare a variation between an original image and a neighboring pixel value of the processed image, compare current result information with original result information, and perform consistency determination; and the on-line terminal is used for responding to the self-checking instruction, outputting self-checking information for controlling equipment of the two-dimensional code production line and obtaining feedback.
Optionally, the system further comprises an integration module, wherein the integration module is connected with the secondary image processing module and the online terminal, and is used for counting the total production amount and the production time of the two-dimensional code film between nodes with unqualified definition and calculating the production efficiency.
In summary, the present application includes at least one of the following beneficial technical effects:
1. performing defocusing detection based on-site sampling, distinguishing the definition of the defocusing detection, judging whether the defocusing detection is qualified or not, and timely regulating and controlling production equipment after the defocusing detection is not qualified; the out-of-focus detection is carried out in a mode without a reference image, accidental interference caused by a single two-dimensional code pattern is avoided, and the detection result is more real and effective;
2. the detection based on the sample is divided into two parts, one time can be simple, such as Brenner algorithm processing, resources are saved, and meanwhile, coarse screening is rapidly completed; secondly, performing secondary detection on the qualified primary image, so that the detection accuracy is improved, and the high-standard production requirement is met;
3. and carrying out roughness detection on the sample, establishing a relation curve between the roughness detection and the definition for the reference of workers, introducing manual intervention, and avoiding the influence on normal production and processing caused by system false response when the detection is interfered by the reflection of the sample film.
Drawings
FIG. 1 is a system architecture diagram of the present application;
fig. 2 is a flowchart of the gaussian blurring process of the present application.
Detailed Description
The present application is described in further detail below with reference to figures 1-2.
The embodiment of the application discloses two-dimensional code film production management system based on image recognition technology, which aims at being matched with a two-dimensional code production line to endow products with more excellent spray painting printing performance.
Referring to fig. 1, the two-dimensional code film production management system based on the image recognition technology includes an on-line terminal and an image acquisition device in the form of hardware, and further includes a software module constructed based on the hardware, including a primary image processing module.
The online terminal refers to a general integrated PC (personal computer) used for controlling equipment feeding, surface roughening treatment and the like on a two-dimensional code production line, and the PC is networked.
The image acquisition device comprises a high-definition camera set which is arranged in a detection room of a factory area or a sample preparation working area. In the production process, equipment for printing the two-dimensional code is arranged at the detection position, so that the two-dimensional code can be printed on the produced two-dimensional code sampling site according to the production requirement; the printed film sample is placed on a platform in a high-definition camera set shooting area to realize image acquisition and output of the sample film; the data output by the image acquisition device can be uploaded to a certain pre-built holder or a server of a factory to wait for analysis and processing.
And the primary image processing module is constructed based on an image recognition technology and is preset in a specified hardware base, such as a cloud platform server. The primary image processing module is used for executing out-of-focus detection on the acquired image information so as to judge the definition of the acquired image information, and specifically comprises the following steps:
considering that the two-dimensional code has various patterns, if the test is only a fixed pattern, it is difficult to ensure whether the printing quality is coincident, so the two-dimensional code on the sample film is set to be random to ensure the detection effect; on the basis, the out-of-focus detection is performed in a reference-map-free manner, and the reference-map-free manner comprises the following steps:
performing Brenner algorithm processing on the grayed image, namely calculating the square of the gray difference of two adjacent pixels by using a Brenner gradient function to obtain a definition result; the Brenner gradient function is as follows:
wherein the content of the first and second substances,
representing image correspondences
Corresponding pixel point
Is determined by the gray-scale value of (a),
and calculating the image definition. The resolution calculation method is relatively simple and is chosen because it is the primary analysis process and does not have to be too accurate.
Primary result information obtained by primary image processing module defocusing detection is fed back to the online terminal, the online terminal is used for introducing an adjustment model based on the membrane sample effect to analyze the result information and outputting corresponding production regulation and control information, namely the system can be used for carrying out real-time regulation and control on control parameters of a production line according to a sample test result sampled in real time, and improving the production process so as to effectively improve the quality of the produced two-dimensional codes.
The rough processing image can quickly distinguish samples with poor definition; for the products qualified in the primary detection, the system also comprises a secondary image processing module, and the module is used for performing higher-precision analysis processing, so that the detection accuracy is improved on one hand, and the production requirements of higher standards are met on the other hand. The secondary image processing module is connected to the primary image processing module and is used for executing Gaussian blur processing on qualified (meeting the first threshold) primary result information and comparing the change quantity of the adjacent pixel values of the original image and the processed image. The gaussian blurring process is used to differentiate the two-dimensional code images with relatively good definition by high-frequency component display, and perform depth evaluation, and the flow is shown in fig. 2. And the secondary result information is also fed back to the online terminal.
Supplementary explanation: in the upper part of fig. 2, the change of the gray level value of the adjacent pixel from the image to be evaluated is the change of the adjacent pixel value of the original image;
in the lower part of fig. 2, the change of the gray level of the adjacent pixels from the blurred image is the change of the adjacent pixel values of the processed image;
the comparison analysis in fig. 2 is to compare the change amounts of the adjacent pixel values of the original image and the processed image.
The introduction of the on-line terminal is based on the analysis of the resulting information by an adjustment model of the film-like effect, such as: when the primary result information does not accord with a preset first threshold value, determining a point A of a plasticizing component in the enlargement production process, wherein A is a set minimum single adjustment amount; if the secondary result information does not meet the preset second threshold value, the original set formula is called, the corresponding control parameters (the offset interference of the equipment is eliminated) are output again according to the formula, and the user is judged to be required to be prompted after two continuous offset adjustments. And the specific setting of model adjustment is realized by manually changing each process parameter by a worker, verifying the detection result, recording the adjustment quantity and the result variable quantity of each parameter in the process to obtain a relation table, and training the adjustment model according to the relation table.
The system further comprises a roughness detection module, wherein the roughness detection module is used for detecting the printing surface roughness of the sample film and transmitting the printing surface roughness to the online terminal. The roughness of the sample film, or the light reflection degree of the film, is detected because certain interference exists in the image acquisition process due to the problem of film light reflection, and the film needs to be removed for the purpose.
The roughness detection module comprises an artificial light source and a spectrum detection mechanism; the roughness of the sample film can be evaluated according to the obtained light intensity change by irradiating the sample film with an artificial light source such as laser and receiving and detecting the reflected light by a spectrum detection mechanism. The detection result of the spectrum detection mechanism is transmitted to the online terminal, the detection result of each time is recorded, a relation curve of the roughness and the definition of the two-dimensional code is established, the relation curve can be referred by a worker, whether the definition detection is interfered by the roughness of the sample film or not is judged, and the automatic adjustment of a manual intervention system is carried out, so that the influence on normal production and processing caused by the wrong regulation and control of the system is avoided.
The system also comprises a fault processing module, and the fault processing module is connected to the primary image processing module, the secondary image processing module and the online terminal. The fault processing module is used for comparing result information corresponding to two adjacent samples, namely comparing primary result information of the sample film of the Nth time with primary result information of the sample film of the (N-1) th time, and comparing secondary result information of the sample film of the Nth time with secondary result information of the sample film of the (N-1) th time; and when the comparison result is twice consistent, transmitting a self-checking instruction to the secondary image processing module and the online terminal.
The reason why the image is not transmitted to the primary image processing module is that the primary image processing is rough processing, the resolution level is not high, normal production can occur, and the secondary image processing is different.
The secondary image processing module is used for responding to the self-checking instruction, executing Gaussian fuzzy processing on the image information sampled at the previous time, comparing the change quantity of adjacent pixel values of the original image and the processed image, comparing the current result information with the original result information, and judging consistency; and the on-line terminal is used for responding to the self-checking instruction, outputting self-checking information for controlling equipment of the two-dimensional code production line and obtaining feedback. After the two are self-checked, the system can evaluate whether the fault appears in the image processing link and the equipment of the production line or eliminate the two; when the two are eliminated, the fault can be considered to appear in the sample two-dimensional code printing link.
According to the content, the fault point can be conveniently found out in time by the working personnel when the abnormity is detected so as to be eliminated.
In the foregoing, it is mentioned that the production line equipment has the problem of control offset during use (caused by aging, excessive temperature, etc.), and for this reason, the system further includes an integration module, which is connected with the secondary image processing module and the on-line terminal. The comprehensive module receives and acquires the operation data of the three modules and records the operation data, and is used for counting the total production amount and the production time of the two-dimensional code film among nodes with unqualified definition (unqualified secondary results), and calculating the production efficiency. According to the information, the maintenance node of the production line equipment can be conveniently confirmed by the staff, the production plan is improved, the equipment is reasonably utilized, and the product quality is improved.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (4)
1. The utility model provides a two-dimensional code film production management system based on image recognition technology, is including being used for doing the terminal on the line of control to two-dimensional code film production line, its characterized in that still includes:
the image acquisition device is used for acquiring and outputting the image of the sample film printed with the two-dimensional code; and the number of the first and second groups,
the primary image processing module is connected to the image acquisition device and used for executing out-of-focus detection on the image information output by the image acquisition device and transmitting primary result information to the online terminal;
the online terminal is used for introducing an adjusting model based on the membrane sample effect to analyze result information and outputting corresponding production regulation and control information;
the mode without reference picture includes:
performing Brenner algorithm processing on the grayed image, namely calculating the square of the gray difference of two adjacent pixels by using a Brenner gradient function to obtain a definition result; the Brenner gradient function is as follows:
wherein the content of the first and second substances,
representing image correspondences
Corresponding pixel point
Is determined by the gray-scale value of (a),
calculating the result of the image definition;
the primary image processing module performs out-of-focus detection in a reference-image-free manner;
the system also comprises a secondary image processing module; the secondary image processing module is connected with the primary image processing module and is used for executing Gaussian blur processing on qualified primary result information, comparing the change quantity of adjacent pixel values of the original image and the processed image and transmitting secondary result information to the online terminal;
the roughness detection module comprises an artificial light source and a spectrum detection mechanism, and is used for detecting the printing surface roughness of the sample film and transmitting the roughness to the on-line terminal; the online terminal is further used for establishing a relation curve of the roughness and the definition of the two-dimensional code and judging whether the definition detection is interfered by the roughness of the sample film.
2. The two-dimensional code film production management system based on the image recognition technology as claimed in claim 1, wherein: the system further comprises a fault processing module, wherein the fault processing module is connected to the primary image processing module, the secondary image processing module and the online terminal, and is used for comparing result information corresponding to two adjacent samples and transmitting a self-checking instruction to the secondary image processing module and the online terminal when the result information is consistent.
3. The two-dimensional code film production management system based on the image recognition technology as claimed in claim 2, wherein: the secondary image processing module is used for responding to the self-checking instruction, executing Gaussian fuzzy processing on the image information sampled at the previous time, comparing the change quantity of adjacent pixel values of the original image and the processed image, comparing the current result information with the original result information, and judging consistency; and the on-line terminal is used for responding to the self-checking instruction, outputting self-checking information for controlling equipment of the two-dimensional code production line and obtaining feedback.
4. The two-dimensional code film production management system based on the image recognition technology as claimed in claim 1, wherein: the system further comprises an integrated module, wherein the integrated module is connected with the secondary image processing module and the online terminal and used for counting the total production amount and the production time of the two-dimensional code film between the nodes with unqualified definition and calculating the production efficiency.
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| CN1309565C (en) * | 2004-09-02 | 2007-04-11 | 中国印钞造币总公司 | On-line automatic controlsystem for printing quality |
| US8050502B2 (en) * | 2006-06-21 | 2011-11-01 | Namco Bandai Games Inc. | Two-Dimensional code generation method, two-dimensional code, two-dimensional code recognition method, and image recognition device |
| DE102014210690A1 (en) * | 2014-06-05 | 2015-12-17 | Heidelberger Druckmaschinen Ag | Method for identifying print control elements for quality data acquisition |
| CN108109147B (en) * | 2018-02-10 | 2022-02-18 | 北京航空航天大学 | No-reference quality evaluation method for blurred image |
| WO2019208048A1 (en) * | 2018-04-27 | 2019-10-31 | 京セラドキュメントソリューションズ株式会社 | Ink discharge device, printing device, and method for controlling ink discharge device |
| CN110889304B (en) * | 2018-09-11 | 2023-04-28 | 杭州海康威视数字技术股份有限公司 | Two-dimensional code quality evaluation method and device, storage medium, electronic equipment and system |
| CN109795226A (en) * | 2019-01-25 | 2019-05-24 | 浙江爱迪尔包装股份有限公司 | A kind of technique with cold wave spray printing variable two-dimension code |
| US10942687B2 (en) * | 2019-06-28 | 2021-03-09 | Ncr Corporation | Print quality monitoring and correction |
| CN211741094U (en) * | 2019-10-31 | 2020-10-23 | 深圳市凯瑞奇自动化技术有限公司 | Surface defect detection device for transparent mirror printing and gold stamping process |
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