Package printing deviation rectifying method, system, equipment and medium

By acquiring and analyzing image and position feature data on the transmission device, the correction reference parameters in the grayscale image data are determined, which solves the problem that the correction algorithm in the prior art is easily affected by changes in scanning direction and material tension, realizes high-precision correction operation, and reduces production costs and material loss.

CN121609146APending Publication Date: 2026-03-06TIMACO (BEIJING) IND TECH CO LTD
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Patent Information

Application Number
CN202511990598.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-26
Publication Date
2026-03-06

AI Technical Summary

Technical Problem

The algorithms of existing linear charge-coupled device (CCD) correction sensors are easily affected by the scanning direction, making them unable to effectively correct multi-line materials, and changes in material tension cause correction deviations.

Method used

By acquiring image feature data and position feature data of the product on the conveying device, the correction reference parameters are determined based on the grayscale image data. A polling traversal operation is used to select line feature data as the target correction reference, and a correction command is generated to control the correction device to adjust the product position.

Benefits of technology

It improves the accuracy of web correction, reduces production costs and material scrap rate, and is suitable for stable web correction of multi-line materials.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a package printing deviation rectifying system, method, equipment and medium, and relates to the technical field of production equipment.A control device of the package printing deviation rectifying system is used for obtaining image feature data of products on a conveying device and obtaining position feature data of the products on the conveying device in real time; determining deviation correction reference parameters of the product; based on the deviation correction reference parameters and the position characteristic data, deviation correction parameters are obtained; generating a deviation rectifying instruction based on the deviation rectifying parameters; and the deviation rectifying device is controlled to execute the deviation rectifying instruction to adjust the position of the product on the conveying device to the target position, so that the deviation rectifying precision is improved, and the production cost and the material rejection rate are reduced.
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Description

Technical Field

[0001] This invention relates to the field of production equipment technology, and more specifically, to a method, system, equipment, and medium for correcting deviations in packaging and printing. Background Technology

[0002] Existing algorithms for linear charge-coupled device (CCD) correction sensors only search for single edges within the field of view that meet the grayscale threshold conditions. The tracking results are easily affected by the scanning direction of the CCD camera. When there are other edges or broken edges near the target line on the material to be corrected, the tracking is prone to deviation, resulting in excessively high requirements for the material and ineffective correction of multi-line materials. Furthermore, if the initial calibration value is fixed, changes in material tension and vibration during actual production can cause changes in the brightness of the lines, thereby leading to dynamic tracking and correction deviations. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to provide a method, system, device and medium for correcting deviations in packaging printing, so as to improve the accuracy of deviation correction and reduce production costs and material scrap rate.

[0004] In a first aspect, this application provides a packaging printing correction system, comprising: The detection device is used to collect image feature data of products on the conveying device and to acquire position feature data of products on the conveying device in real time. A correction device is used to adjust the position of products on a conveyor. The control device is connected to the detection device and the correction device respectively. The control device is used to acquire image feature data of the product on the conveying device and acquire position feature data of the product on the conveying device in real time; determine the correction reference parameters of the product based on the image feature data; obtain the correction parameters based on the correction reference parameters and the position feature data; generate correction commands based on the correction parameters; and control the correction device to execute the correction commands to adjust the position of the product on the conveying device to the target position.

[0005] Optionally, the control device is used for: Image feature data is converted to grayscale values ​​to obtain grayscale image data; Based on grayscale image data, determine the parameters of each initial correction baseline in the product; Based on each initial correction baseline parameter, a polling traversal operation is used to take the line feature data located in the image feature data center as the target correction baseline parameter.

[0006] Optionally, the control device is used to: determine the line feature data in the product as the initial correction baseline parameter based on grayscale image data and line tracking reference; the line tracking reference is determined as a complete line feature based on the opposite grayscale change trends of two consecutive edges of the line feature data.

[0007] Optionally, the line feature data includes the line width value and the line height value; wherein, the line height value is the grayscale difference between the two sides of the line.

[0008] Optionally, the control device is used to: determine each initial correction baseline parameter in the product based on grayscale image data and historical correction baseline parameters.

[0009] Secondly, this application provides a packaging printing correction method, applicable to the control device in the packaging printing correction system described above, the packaging printing correction method comprising: Acquire image feature data of products on the conveying device and acquire position feature data of products on the conveying device in real time; Based on image feature data, determine the product's correction baseline parameters; Based on the correction reference parameters and location feature data, the correction parameters are obtained; Generate correction instructions based on correction parameters; The control correction device executes correction commands to adjust the position of the product on the conveyor to the target position.

[0010] Optionally, based on image feature data, the product's correction baseline parameters are determined, including: Image feature data is converted to grayscale values ​​to obtain grayscale image data; Based on grayscale image data, determine the parameters of each initial correction baseline in the product; Based on each initial correction baseline parameter, a polling traversal operation is used to take the line feature data located in the image feature data center as the target correction baseline parameter.

[0011] Optionally, based on grayscale image data, determine the parameters of each initial correction baseline in the product, including: Based on grayscale image data and line tracing reference, the line feature data in the product is determined as the initial correction baseline; where the line tracing reference is the grayscale change trend of two consecutive edges of the line feature data that are opposite.

[0012] Thirdly, this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described packaging printing correction method.

[0013] Fourthly, this application provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the aforementioned packaging printing correction method.

[0014] This invention provides a packaging printing correction system, method, equipment, and medium. The system acquires image feature data and real-time position feature data of the product on a conveying device via a control device. Based on the image feature data, it determines correction reference parameters for the product. Based on the correction reference parameters and position feature data, it obtains correction parameters. Based on the correction parameters, it generates correction instructions. The system controls the correction device to execute the correction instructions to adjust the position of the product on the conveying device to the target position, thereby improving correction accuracy and reducing production costs and material scrap rates.

[0015] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This diagram illustrates the structure of a packaging printing correction system provided in an embodiment of the present invention. Figure 2 A schematic flowchart of a packaging printing correction method provided by an embodiment of the present invention is shown; Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present invention is shown. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0019] Existing packaging and printing methods for correcting product deviation by tracking target lines can lead to tracking errors when other edges or broken edges are present near the target lines. This results in excessively high material requirements and ineffective correction for multi-line materials. Furthermore, if the initial calibration values ​​are fixed, changes in material tension and vibration during actual production can alter the brightness of the lines, causing dynamic tracking and correction deviations. Therefore, this application provides a packaging and printing deviation correction method. This method acquires image feature data and real-time position feature data of the product on the conveying device. Based on the image feature data, it determines the product's correction reference parameters. Based on the correction reference parameters and position feature data, it obtains correction parameters. Based on the correction parameters, it generates correction instructions. It controls the correction device to execute the correction instructions to adjust the product's position on the conveying device to the target position, thereby improving correction accuracy. Simultaneously, without modifying the hardware, it retains the previous edge-tracking correction function, realizing the correction function of area scan cameras in the packaging and printing industry, reducing production costs and material scrap rates.

[0020] This application provides a packaging printing correction system, see below. Figure 1 As shown in the figure, the packaging printing correction system provided in this application includes a detection device 110, a correction device 120, and a control device 130. The control device 130 is signal-connected to the detection device 110 and the correction device 120, respectively. The detection device 110 is used to collect image feature data of the product on the conveying device and acquire position feature data of the product on the conveying device in real time. The correction device 120 is used to adjust the position of the product on the conveying device. The control device 130 is used to acquire image feature data of the product on the conveying device and acquire position feature data of the product on the conveying device in real time. Based on the image feature data, the correction reference parameters of the product are determined. Based on the correction reference parameters and the position feature data, correction parameters are obtained. Based on the correction parameters, correction instructions are generated. The correction device is controlled to execute the correction instructions to adjust the position of the product on the conveying device to the target position.

[0021] In this embodiment of the application, the detection device 110 is used to collect image feature data of the product on the conveying device and acquire position feature data of the product on the conveying device in real time. The image feature data can reflect the external feature information such as the appearance outline and surface line distribution of the product, while the position feature data can reflect the real-time placement of the product on the conveying device and the relative positional relationship between the product and the preset reference point of the conveying device. The detection device keeps synchronized during the collection of the two types of data to ensure that each set of image feature data can correspond to the position feature data at the same time, providing accurate and matching basic data for subsequent correction operations. The correction device 120 is used to adjust the position of the product on the conveying device. The correction device can act directly on the product or on a local area of ​​the conveying device. By applying force, it drives the product to move, thereby adjusting the position of the product. The control device 130 can receive image feature data and position feature data transmitted by the detection device, and can also send operation commands to the correction device. The control device is used to acquire image feature data of the product on the conveying device and acquire position feature data of the product on the conveying device in real time. Based on the image feature data, it determines the product's correction reference parameters. Specifically, it first converts the image feature data into grayscale image data, then selects the product's line feature data as the initial correction baseline parameters based on the grayscale image data and the line tracking reference. Then, through a traversal operation, it selects the line feature data located at the image feature data center location as the target correction reference parameters. The line tracking reference is the two lines of the line feature data. The grayscale change trends of the continuous edges are opposite; based on the correction reference parameters and position feature data, correction parameters are obtained. Specifically, the standard position corresponding to the correction reference parameters is compared and analyzed with the real-time position corresponding to the position feature data, and the deviation information between the two is calculated. This deviation information is the correction parameter; based on the correction parameters, correction instructions are generated. The correction instructions contain operational information such as the direction and amplitude of the correction device's movement; the correction device is controlled to execute the correction instructions to adjust the position of the product on the conveyor to the target position. After receiving the correction instructions, the correction device performs the corresponding adjustment actions according to the requirements of the instructions until the real-time position of the product is consistent with the preset target position.

[0022] Furthermore, in this application, the detection device can use a CCD line scan camera to acquire image feature data of the product and then output grayscale values ​​to the control device. The CCD line scan camera scans the grayscale values ​​of a total of 1,500 pixels within its field of view to obtain grayscale image data.

[0023] In this embodiment of the application, the control device is further configured to: convert the image feature data into grayscale values ​​to obtain grayscale image data; determine each initial correction baseline parameter in the product based on the grayscale image data; and, based on each initial correction baseline parameter, use a polling traversal operation to take the line feature data located at the image feature data center as the target correction reference parameter.

[0024] Furthermore, based on grayscale image data and line tracing reference, line feature data in the product is determined as the initial correction baseline parameter; the line tracing reference is determined as a complete line feature based on the opposite grayscale change trends of two consecutive edges of the line feature data, wherein the line feature data includes the line width value and the line height value; wherein the line height value is the grayscale difference between the two sides of the line.

[0025] Furthermore, based on grayscale image data and historical correction baseline parameters, the initial correction baseline parameters for each product are determined.

[0026] In practical implementation, the control device is also used to convert the image feature data into grayscale values ​​to obtain grayscale image data. Grayscale conversion is to convert the image feature data containing color information into image data that only reflects grayscale levels. Through this conversion, color interference can be weakened, and the line features on the product surface can be presented more clearly, laying the foundation for the accurate identification of subsequent line feature data. The control device determines the initial correction baseline parameters of the product based on grayscale image data. This can be achieved through two different methods: one is based on grayscale image data and a line-tracking reference, using line feature data as the initial correction baseline parameters. The line-tracking reference is determined by judging whether the grayscale change trends of two consecutive edges of the line feature data are opposite, thus defining a complete line feature. Only line features meeting this condition can be considered valid lines corresponding to the line-tracking reference. The line feature data includes the line width and line height values, where the line height specifically refers to the grayscale difference between the two sides of the line. By obtaining the line width and height values, more precise control can be achieved. One approach is to comprehensively characterize line features, improving the distinguishability and accuracy of initial correction baseline parameters and avoiding the misselection of invalid fine or interfering lines as initial correction baseline parameters. Another approach is to determine each initial correction baseline parameter in the product based on grayscale image data and historical correction baseline parameters. Historical correction baseline parameters are correction baseline parameters that have been verified as effective by the control device when performing correction operations on similar products in the past. Using historical correction baseline parameters as a reference can narrow the recognition range of line features and speed up the determination efficiency of initial correction baseline parameters. At the same time, the validity of historical data can be used to improve the reliability of initial correction baseline parameters, which is especially suitable for scenarios where similar products are continuously transmitted for correction. After obtaining the initial correction baseline parameters, the control device uses a polling traversal operation to select the line feature data located in the image feature data center as the target correction reference parameter. The polling traversal operation means that the control device sequentially detects the position of each initial correction baseline parameter and checks the specific position coordinates of each initial correction baseline parameter in the image feature data. This traversal method ensures that no initial correction baseline parameter is missed, guaranteeing the comprehensiveness of the selection. The line feature data located in the image feature data center is selected as the target correction reference parameter because lines in the center position are less affected by product edge damage, deformation, or local contamination, and have stronger stability. Using this as the correction reference can improve the accuracy of subsequent correction operations and reduce correction errors caused by reference offset.

[0027] The packaging and printing correction system provided in this application determines the target correction baseline parameters through the above operations. It not only provides multiple methods for determining the initial correction baseline parameters to suit different scenarios, enhancing the applicability of the solution, but also ensures the accuracy and stability of the target correction baseline parameters through grayscale conversion, accurate line tracking baseline judgment, and polling traversal filtering. This provides a reliable core reference for subsequent calculation of correction parameters and generation of correction instructions based on these parameters, thereby improving the accuracy and stability of the entire product correction process.

[0028] This application provides a packaging printing correction method, applicable to the control device in the aforementioned packaging printing correction system. (See attached document.) Figure 2 As shown, the general flow of the packaging printing correction method provided in this application embodiment is as follows: Step 210: Acquire image feature data of the products on the conveying device and acquire position feature data of the products on the conveying device in real time; Step 220: Determine the product's correction baseline parameters based on image feature data.

[0029] In this embodiment, grayscale image data is obtained by converting image feature data to grayscale values; based on the grayscale image data, each initial correction baseline parameter in the product is determined; based on each initial correction baseline parameter, a polling traversal operation is used to take the line feature data located at the image feature data center as the target correction reference parameter.

[0030] Furthermore, based on grayscale image data and line-tracing benchmarks, line feature data in the product is determined as the initial correction baseline; where the line-tracing benchmark is the grayscale change trend of two consecutive edges of the line feature data that are opposite.

[0031] Step 230: Obtain the correction parameters based on the correction reference parameters and location feature data.

[0032] Step 240: Generate correction instructions based on correction parameters.

[0033] Step 250: Control the correction device to execute the correction command to adjust the position of the product on the conveyor to the target position.

[0034] In specific implementation, firstly, image feature data of the product on the conveying device is acquired. Image feature data is external features that can reflect the outline lines and surface texture of the product. Secondly, position feature data of the product on the conveying device is acquired in real time. Position feature data is the real-time placement orientation of the product on the conveying device and its relative position information with respect to the preset reference position of the conveying device. Secondly, the acquired image feature data is converted to grayscale values ​​to obtain grayscale image data. Grayscale image data can clearly highlight the line features of the product, reduce the interference of color information on line recognition, and improve the convenience and accuracy of line feature recognition. Then, based on grayscale image data and the line-tracking benchmark, line feature data in the product is determined as the initial correction baseline parameters. The line-tracking benchmark is defined as the opposite grayscale change trends of two consecutive edges of the line feature data. Specifically, when identifying line features in grayscale image data, if two adjacent edge regions of a line exhibit opposite grayscale change trends (from dark to light and from light to dark), the line can be identified as line feature data conforming to the line-tracking benchmark. Line feature data selected using this standard accurately corresponds to the actual contour boundary of the product, avoiding the inclusion of irrelevant interference lines in the selection range of the initial correction baseline parameters. Based on each initial... The initial correction baseline parameters adopt a polling traversal operation, taking the line feature data located at the image feature data center as the target correction reference parameter. The polling traversal operation means that the position of all the selected initial correction baseline parameters is judged in turn, confirming the specific position of each initial correction baseline parameter in the image feature data one by one, and finally selecting the line feature data located at the center of the image. Selecting the line feature data at the center position as the correction reference parameter can make the reference benchmark of the correction operation more stable, reduce the impact of local damage or deformation of the product due to the selection of edge lines as the benchmark, and improve the reliability of the correction reference parameter. Next, the determined correction reference parameters are combined with the acquired position feature data for analysis. By comparing the standard position corresponding to the correction reference parameters with the real-time position of the product reflected by the position feature data, the correction parameters of the current position of the product and the standard position are calculated. Then, a correction command is generated based on the calculated correction parameters. The correction command contains relevant information such as the direction and amplitude of the correction device's movement. The correction command generated based on accurate correction parameters can directly guide the movement of the correction device and avoid errors in the correction operation due to command deviations. Finally, the generated correction command is sent to the correction device. After receiving the correction command, the correction device performs the corresponding adjustment action according to the command requirements, pushing the product on the conveyor to move its position until the product's position is adjusted to the preset target position.

[0035] The packaging printing correction method provided in this application uses collaborative analysis of image feature data and position feature data, combined with grayscale conversion and line tracking reference to select accurate correction reference parameters, and then generates corresponding correction instructions through deviation calculation. Finally, it drives the correction device to complete the product position adjustment, realizing the automated execution of the correction operation, reducing operational errors caused by manual intervention, improving the accuracy of product correction, ensuring that the product can be stably and accurately adjusted to the target position, greatly improving the correction efficiency during product transfer, and reducing product position deviation problems caused by manual operation or improper reference selection. It is applicable to product correction scenarios on various transfer devices and has strong versatility and practicality.

[0036] It should be noted that the principle of the packaging printing correction method provided in this application embodiment to solve the technical problem is similar to that of the packaging printing correction system provided in this application embodiment. Therefore, the implementation of the packaging printing correction method provided in this application embodiment can refer to the implementation of the packaging printing correction system provided in this application embodiment, and the repeated parts will not be described again.

[0037] After introducing the packaging printing correction method and apparatus provided in the embodiments of this application, the electronic equipment provided in the embodiments of this application will be briefly introduced next.

[0038] See Figure 3 As shown, the electronic device 500 provided in this application embodiment includes at least a processor 501, a memory 502, and a computer program stored in the memory 502 and executable on the processor 501. When the processor 501 executes the computer program, it implements the packaging printing correction method provided in this application embodiment.

[0039] The electronic device 500 provided in this application embodiment may further include a bus 503 connecting different components (including processor 501 and memory 502). The bus 503 represents one or more types of bus structures, including memory bus, peripheral bus, local area bus, etc.

[0040] Memory 502 may include a readable storage medium in the form of volatile memory, such as random access memory (RAM) 5021 and / or cache memory 5022, and may further include read-only memory (ROM) 5023. Memory 502 may also include a program tool 5025 having a set (at least one) of program modules 5024, including but not limited to an operating subsystem, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment.

[0041] Processor 501 can be a single processing element or a collective term for multiple processing elements. For example, processor 501 can be a central processing unit (CPU) or one or more integrated circuits configured to implement the packaging printing correction method provided in the embodiments of this application. Specifically, processor 501 can be a general-purpose processor, including but not limited to CPUs, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0042] Electronic device 500 can communicate with one or more external devices 504 (e.g., keyboard, remote control, etc.), and also with one or more devices that enable a user to interact with electronic device 500 (e.g., mobile phone, computer, etc.), and / or with devices that enable electronic device 500 to communicate with one or more other electronic devices 500 (e.g., router, modem, etc.). This communication can be performed through input / output (I / O) interface 505. Furthermore, electronic device 500 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) through network adapter 506. Figure 3 As shown, network adapter 506 communicates with other modules of electronic device 500 via bus 503. It should be understood that, although... Figure 3 As not shown, other hardware and / or software modules may be used in conjunction with the electronic device 500, including but not limited to microcode, device drivers, redundant processors, external disk drive arrays, Redundant Arrays of Independent Disks (RAID) subsystems, tape drives, and data backup storage subsystems.

[0043] It should be noted that, Figure 3 The electronic device 500 shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0044] The following describes the computer-readable storage medium provided in the embodiments of this application. The computer-readable storage medium provided in the embodiments of this application stores computer instructions, which, when executed by a processor, implement the packaging printing correction method provided in the embodiments of this application. Specifically, the computer instructions can be built into or installed in the processor, so that the processor can implement the packaging printing correction method provided in the embodiments of this application by executing the built-in or installed computer instructions.

[0045] In addition, the packaging printing correction method provided in this application embodiment can also be implemented as a computer program product, which includes program code. The program code implements the packaging printing correction method provided in this application embodiment when it is run on a processor.

[0046] The computer program product provided in this application embodiment may employ one or more computer-readable storage media, which may be, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination thereof. Specifically, more specific examples (a non-exhaustive list) of computer-readable storage media include electrical connections with one or more wires, portable disks, hard disks, RAM, ROM, erasable programmable read-only memory (EPROM), optical fibers, portable compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0047] The computer program product provided in this application embodiment can be a CD-ROM and include program code, and can also run on electronic devices such as computers. However, the computer program product provided in this application embodiment is not limited thereto. In this application embodiment, the computer-readable storage medium can be any tangible medium that contains or stores program code, which can be used by or in conjunction with an instruction execution system, device, or apparatus.

[0048] It should be noted that although several units or sub-units of the device have been mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to embodiments of this application, the features and functions of two or more units described above can be embodied in one unit. Conversely, the features and functions of one unit described above can be further divided and embodied by multiple units.

[0049] Furthermore, although the operations of the method of this application are described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

[0050] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0051] Obviously, those skilled in the art can make various modifications and variations to the embodiments of this application without departing from the spirit and scope of the embodiments of this application. Therefore, if these modifications and variations to the embodiments of this application fall within the scope of the claims of this application and their equivalents, this application also intends to include these modifications and variations.

Claims

1. A packaging print correction system, characterized by, The method comprises: detecting the image feature data of the product on the conveying device and acquiring the position feature data of the product on the conveying device in real time; adjusting the position of the product on the conveying device; controlling the detecting device and the adjusting device, respectively, and acquiring the image feature data of the product on the conveying device and acquiring the position feature data of the product on the conveying device in real time; determining the adjusting reference parameter of the product based on the image feature data; obtaining the adjusting parameter based on the adjusting reference parameter and the position feature data; generating the adjusting instruction based on the adjusting parameter; and controlling the adjusting device to execute the adjusting instruction to adjust the position of the product on the conveying device to the target position.

2. The package print correction system of claim 1, wherein, The control device is used for: converting the image feature data into gray value to obtain gray image data; determining each initial adjusting baseline parameter in the product based on the gray image data; adopting the polling traversal operation to take the line feature data located at the center position of the image feature data as the target adjusting reference parameter based on each initial adjusting baseline parameter.

3. The package print correction system of claim 2, wherein, The control device is used for determining the line feature data in the product as the initial adjusting baseline based on the gray image data and the line tracing reference; and the line tracing reference is determined as a complete line feature according to the opposite gray level change trend of two continuous edges of the line feature data.

4. The package print correction system of claim 3, wherein, The line feature data comprises the width value and the height value of the line; and the height value of the line is the gray level difference between the two edges of the line.

5. The package print correction system of claim 2, wherein The control device is used for determining each initial adjusting baseline parameter in the product based on the gray image data and the historical adjusting baseline parameter.

6. A package printing correction method characterized by, The method is suitable for the control device in the packaging and printing adjusting system, and comprises: acquiring the image feature data of the product on the conveying device and acquiring the position feature data of the product on the conveying device in real time; determining the adjusting reference parameter of the product based on the image feature data; obtaining the adjusting parameter based on the adjusting reference parameter and the position feature data; generating the adjusting instruction based on the adjusting parameter; controlling the adjusting device to execute the adjusting instruction to adjust the position of the product on the conveying device to the target position.

7. The package print misregistration method according to claim 6, wherein The method for determining the adjusting reference parameter of the product based on the image feature data comprises: converting the image feature data into gray value to obtain gray image data; determining each initial adjusting baseline parameter in the product based on the gray image data; adopting the polling traversal operation to take the line feature data located at the center position of the image feature data as the target adjusting reference parameter based on each initial adjusting baseline parameter.

8. The package print misregistration method according to claim 7, characterized in that, The method for determining each initial adjusting baseline parameter in the product based on the gray image data comprises: determining the line feature data in the product as the initial adjusting baseline based on the gray image data and the line tracing reference; and the line tracing reference is determined as a complete line feature according to the opposite gray level change trend of two continuous edges of the line feature data.

9. An electronic device, comprising: A computer program product comprising a memory, a processor and a computer program stored on the memory and loadable on the processor, the processor implementing the method for package printing correction according to any one of claims 1 to 5 when executing the computer program.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions, the computer instructions being executed by the processor to implement the method for package printing correction according to any one of claims 1 to 5.