Coating self-adaptive adjusting method and system for packaging paper printing

Abstract

The invention relates to the technical field of intelligent printing, and provides a coating self-adaptive adjustment method and system for packaging paper printing, and the method comprises the steps: collecting an image of to-be-printed packaging paper through a camera; wherein the packaging paper to be printed is packaging paper made of a mixed material; based on the image of the to-be-printed packaging paper, identifying the material of each region of the to-be-printed packaging paper through an image identification method, performing region division on the to-be-printed packaging paper according to the material type, and making different marks for the regions of the packaging paper with different materials so as to mark different region types; and when printing is conducted according to the printing path, paint output parameters are adjusted based on the area type. The printing effect can be matched with the material characteristics, and the printing quality is more stable. Besides, splicing after printing is not needed, printing is directly carried out on the mixed material, and pattern dislocation caused by splicing errors and other pattern quality problems caused by splicing are avoided.

Description

Technical Field

[0001] The present application relates to the field of intelligent printing technology, and in particular to a method and system for adaptively adjusting coatings for packaging paper printing. Background Art

[0002] Wrapping paper printing involves transferring graphic information directly onto packaging paper. Currently, different types of wrapping paper are printed separately and then spliced together. However, splicing errors can lead to misaligned patterns, reducing packaging quality. Therefore, preventing these errors and improving packaging quality are pressing technical challenges. Summary of the Invention

[0003] In response to the above technical problems, the purpose of this application is to provide a method and system for adaptively adjusting coatings for packaging paper printing, aiming to avoid pattern errors caused by splicing operation errors and improve product packaging quality.

[0004] In a first aspect, an embodiment of the present application provides a method for adaptively adjusting coatings for packaging paper printing, comprising:

[0005] Capturing an image of the packaging paper to be printed by a camera; wherein the packaging paper to be printed is a mixed material packaging paper;

[0006] Based on the image of the wrapping paper to be printed, identifying the material of each area of the wrapping paper to be printed by an image recognition method, dividing the wrapping paper to be printed into areas according to the material type, and marking the areas of wrapping paper of different materials differently to identify different area types;

[0007] Adjusts paint output parameters based on area type when printing along a print path.

[0008] In one embodiment, the step of identifying the material of each area of the wrapping paper to be printed by an image recognition method based on the image of the wrapping paper to be printed includes:

[0009] The image of the wrapping paper to be printed is input into a paper region material recognition model to obtain the material of each region of the wrapping paper to be printed; wherein the paper region material recognition model is trained by the following method:

[0010] A large number of paper images containing regions of different materials are collected, and each of the paper images containing regions of different materials is annotated using a polygon annotation tool to construct training data. During the annotation process, for each region of different materials in the paper image, a polygon is manually drawn by clicking on its boundary points to form a closed shape; and a corresponding material type label is assigned to each drawn polygon.

[0011] Based on the training data, the YOLO model supporting instance segmentation is trained until a preset training stop condition is met.

[0012] In one embodiment, before the step of adjusting the coating output parameters based on the region type when printing according to the printing path, the method further includes:

[0013] The printing path is planned based on the area type to obtain the printing path.

[0014] In one embodiment, the step of planning the printing path based on the area type includes:

[0015] Locate the printing start position;

[0016] Determining the positional relationship between the image and the wrapping paper to be printed according to the printing start position, the size information of the wrapping paper to be printed, the placement direction of the wrapping paper to be printed, and the size information of the image to be printed;

[0017] The printing path is planned based on the positional relationship between the image and the printed wrapping paper, the position information of each area in the wrapping paper to be printed, and the area type.

[0018] In one embodiment, the step of adjusting the coating output parameters based on the region type when printing according to the printing path includes:

[0019] Determine the location of the region boundaries;

[0020] Real-time detection of current printing position;

[0021] Determining whether the current printing position is located at the region boundary;

[0022] If so, the coating output parameters are adjusted to the coating output parameters of the next area to be printed.

[0023] In one embodiment, the step of adjusting the coating output parameters based on the region type includes:

[0024] Establish a database of coating output parameters corresponding to different paper materials;

[0025] Searching the coating output parameter database corresponding to the different paper materials for the coating output parameter corresponding to each identified area type;

[0026] During printing, the paint output parameters are adjusted based on the identified area type.

[0027] In one embodiment, the paint output parameters include one or more of paint concentration, spraying speed, spraying pressure, and spraying flow rate.

[0028] In a second aspect, an embodiment of the present application provides a coating adaptive adjustment system for packaging paper printing, the system comprising:

[0029] An acquisition module, configured to acquire an image of the packaging paper to be printed through a camera; wherein the packaging paper to be printed is a mixed material packaging paper;

[0030] a material recognition module for identifying the material of each area of the wrapping paper to be printed using an image recognition method based on the image of the wrapping paper to be printed, dividing the wrapping paper to be printed into areas according to the material type, and marking areas of wrapping paper of different materials differently to identify different area types;

[0031] Adaptive adjustment module, used to adjust the coating output parameters based on the area type when printing according to the printing path

[0032] In one embodiment, the material identification module includes:

[0033] An input unit is used to input the image of the packaging paper to be printed into a paper area material recognition model to obtain the material of each area of the packaging paper to be printed; wherein the paper area material recognition model is trained by the following method:

[0034] A large number of paper images containing regions of different materials are collected, and each of the paper images containing regions of different materials is annotated using a polygon annotation tool to construct training data. During the annotation process, for each region of different materials in the paper image, a polygon is manually drawn by clicking on its boundary points to form a closed shape; and a corresponding material type label is assigned to each drawn polygon.

[0035] Based on the training data, the YOLO model supporting instance segmentation is trained until a preset training stop condition is met.

[0036] In one embodiment, the system further comprises:

[0037] The printing path planning module is used to plan the printing path based on the area type to obtain the printing path.

[0038] The embodiment of the present application uses a camera to capture the image of the wrapping paper to be printed, so that the material of each area of the wrapping paper to be printed can be identified by an image recognition method based on the image of the wrapping paper to be printed. Wrapping papers of different materials have different absorbency and adhesion to coatings. By identifying the material of each area and adjusting the coating output parameters, the printing effect can be matched with the material characteristics, making the printing quality more stable, reducing printing defects caused by material differences, such as ghosting and other problems, making the printed pattern more uniform and complete, and improving the quality and aesthetics of the product packaging. The present invention does not require post-printing splicing, but prints directly on mixed materials, avoiding pattern misalignment caused by splicing errors and other pattern quality problems caused by splicing. In summary, the present application improves the quality of product packaging. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solution of the present application, the following is a brief introduction to the drawings required for use in the implementation. Obviously, the drawings described below are only some implementation methods of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0040] Figure 1 This is a flow chart of a method for adaptively adjusting a coating for packaging paper printing provided in one embodiment of the present application;

[0041] Figure 2 It is a structural schematic diagram of a coating adaptive adjustment system for packaging paper printing provided in another embodiment of the present application. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0043] Those skilled in the art will understand that, unless expressly stated otherwise, the singular forms "a", "an", "above", and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of this application refers to the presence of features, integers, steps, operations, elements, modules, and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, modules, components, and / or groups thereof. It should be understood that when we refer to an element as being "connected" or "coupled" to another element, it may be directly connected or coupled to the other element, or there may be intermediate elements. In addition, "connected" or "coupled" as used herein may include wireless connections or wireless couplings. The term "and / or" used herein includes all or any module and all combinations of one or more associated listed items.

[0044] It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs. It should also be understood that terms such as those defined in common dictionaries should be understood to have meanings consistent with their meanings in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless specifically defined as herein.

[0045] See also Figure 1 , an embodiment of the present application provides a method for adaptively adjusting coatings for packaging paper printing, the method comprising:

[0046] S1. Capturing an image of a wrapping paper to be printed using a camera; wherein the wrapping paper to be printed is a wrapping paper made of mixed materials;

[0047] S2. Based on the image of the wrapping paper to be printed, identifying the material of each area of the wrapping paper to be printed by an image recognition method, dividing the wrapping paper to be printed into areas according to the material type, and marking the areas of wrapping paper of different materials differently to identify different area types;

[0048] S3. When printing according to the printing path, adjust the paint output parameters based on the area type

[0049] In an embodiment of the present application, specifically, wrapping paper is printed by a wrapping paper printer. In one embodiment, the wrapping paper printer can be specifically a flatbed UV printer. The wrapping paper printer is provided with a camera, and the camera is controlled to move by the motion system of the printer. The motion system includes components such as a motor, a screw, and a guide rail for controlling the movement of the nozzle and the camera on the flat material (the wrapping paper to be printed is a flat material) to achieve precise positioning and scanning. By controlling the camera, an image of the wrapping paper to be printed can be captured. It should be noted that in this case, the image of the wrapping paper to be printed captured by the camera in one shot is a partial image. In order to improve efficiency, a motion system is set to control the camera to move from one end to the other, and then multiple images captured by the camera from one end to the other are spliced to obtain a spliced image. Based on the spliced image, the material of each area of the wrapping paper to be printed is identified by an image recognition method. It should be noted that after the camera completes a round of shooting from one end to the other, the nozzle starts printing. After printing is completed, the printing platform moves to drive the paper to move, completing a second round of shooting, and then a second printing is performed, and so on, until the image is completely printed.

[0050] The embodiment of the present application uses a camera to capture the image of the wrapping paper to be printed, so that the material of each area of the wrapping paper to be printed can be identified by an image recognition method based on the image of the wrapping paper to be printed. Wrapping papers of different materials have different absorbency and adhesion to coatings. By identifying the material of each area and adjusting the coating output parameters, the printing effect can be matched with the material characteristics, making the printing quality more stable, reducing printing defects caused by material differences, such as ghosting and other problems, making the printed pattern more uniform and complete, and improving the quality and aesthetics of the product packaging. The present invention does not require post-printing splicing, but prints directly on mixed materials, avoiding pattern misalignment caused by splicing errors and other pattern quality problems caused by splicing. In summary, the present application improves the quality of product packaging.

[0051] In one embodiment, the step of identifying the material of each area of the wrapping paper to be printed by an image recognition method based on the image of the wrapping paper to be printed includes:

[0052] The image of the wrapping paper to be printed is input into a paper region material recognition model to obtain the material of each region of the wrapping paper to be printed; wherein the paper region material recognition model is trained by the following method:

[0053] A large number of paper images containing regions of different materials are collected, and each of the paper images containing regions of different materials is annotated using a polygon annotation tool to construct training data. During the annotation process, for each region of different materials in the paper image, a polygon is manually drawn by clicking on its boundary points to form a closed shape; and a corresponding material type label is assigned to each drawn polygon.

[0054] Based on the training data, the YOLO model supporting instance segmentation is trained until a preset training stop condition is met.

[0055] In an embodiment of the present application, LabelMe is a powerful polygon annotation tool, and LabelMe can be used to perform polygon annotation on images. In order to identify the precise shapes of areas of different materials, a YOLO model that supports instance segmentation is selected. The YOLO model that supports instance segmentation includes YOLOv8. YOLOv8 has different versions, such as YOLOv8n, YOLOv8s, YOLOv81, and YOLOv8x. You can choose the appropriate version according to actual needs and computing resources. For example, if computing resources are limited, you can choose YOLOv8n; if higher accuracy is required, you can choose YOLOv8x. Through polygon annotation and using YOLO variants that support instance segmentation tasks (such as YOLOv8 supports instance segmentation), the model can learn the precise shapes of areas of different materials. In the reasoning stage, the model can not only identify areas of different materials, but also output the precise boundaries of each area, thereby obtaining its shape information, laying the foundation for improving print quality. Based on the training data, a YOLO model supporting instance segmentation is trained until a preset training stop condition is met. Specifically, at the beginning of each training cycle (epoch), a batch of images and their corresponding annotation data are loaded from the training data. The input image is passed to the YOLO model, which processes the image based on the current parameters and outputs a predicted type, bounding box, and segmentation mask. The model predictions are compared with the true annotations to calculate the classification loss, bounding box loss, and segmentation loss. The classification loss specifically uses the cross-entropy loss, the bounding box loss specifically uses the GIoU (Generalized Intersection over Union) loss, and the segmentation loss uses the Dice loss. That is, the model loss function includes the classification loss, bounding box loss, and segmentation loss. Based on the calculated losses, the backpropagation algorithm is used to calculate the gradient of the loss function with respect to the model parameters. An optimizer (such as Adam or SGD) is used to update the model parameters based on the gradient to minimize the loss function. Training stops when the preset number of training epochs is reached or the losses converge.

[0056] In one embodiment, before the step of adjusting the coating output parameters based on the region type when printing according to the printing path, the method further includes:

[0057] The printing path is planned based on the area type to obtain the printing path.

[0058] In the embodiment of the present application, the frequency of adjusting the coating output parameters can be reduced based on the area type, thereby extending the service life of the printer and reducing energy consumption.

[0059] In one embodiment, the step of planning the printing path based on the area type includes:

[0060] Locate the printing start position;

[0061] Determining the positional relationship between the image and the wrapping paper to be printed according to the printing start position, the size information of the wrapping paper to be printed, the placement direction of the wrapping paper to be printed, and the size information of the image to be printed;

[0062] The printing path is planned based on the positional relationship between the image and the printed wrapping paper, the position information of each area in the wrapping paper to be printed, and the area type.

[0063] In the embodiments of the present application, the print start position is the starting point of the printing process, providing a reference for subsequent position calculations and path calculations. Typically, a fixed point (such as the upper left corner) on the wrapping paper to be printed is used as the origin to establish a coordinate system, and the coordinates of the print start position within this coordinate system are determined. The specific position of the image on the wrapping paper to be printed can be determined by using the print start position, the size of the wrapping paper to be printed, the orientation of the wrapping paper to be printed, and the size of the image to be printed. The size of the wrapping paper to be printed defines the boundaries of the printable area, the orientation determines the correspondence between the length and width in the coordinate system and the actual physical dimensions, and the image size specifies the size and shape of the image itself. This information can be used to determine the positional relationship between the image and the wrapping paper to be printed, that is, the layout of the image on the wrapping paper. After determining the positional relationship between the image and the wrapping paper and the positional information of each area of the wrapping paper, the printing path can be planned based on the area type. Specifically, areas of the same type are grouped together, and after one area is printed, the next group is printed. During printing, the image corresponding to each area is read based on the positional relationship between the image and the wrapping paper to be printed, and the image corresponding to each area is printed in the corresponding area. When planning a path, the printing path can be planned based on the area type, with the shortest path as the goal. When the image of the wrapping paper to be printed captured by the camera is a partial image, that is, when the camera is controlled by a motion control system, the corresponding paper size information is calculated based on the image spliced after the camera takes a round of shots, and this is used as the size information of the wrapping paper to be printed for this path planning. The paper size information is calculated based on the image. Specifically, the ratio between the pixels in the image and the actual size of the reference object can be calculated. Subsequently, the actual size of the paper is calculated based on the pixel size of the paper in the image and the ratio between the pixels and the actual size.

[0064] In one embodiment, the step of adjusting the coating output parameters based on the region type when printing according to the printing path includes:

[0065] Determine the location of the region boundaries;

[0066] Real-time detection of current printing position;

[0067] Determining whether the current printing position is located at the region boundary;

[0068] If so, the coating output parameters are adjusted to the coating output parameters of the next area to be printed.

[0069] In an embodiment of the present application, the position of the region boundary can be determined by an image recognition method. By installing an incremental encoder on the motor shaft that drives the movement of the printhead, the incremental encoder records the number of pulses generated by the rotation of the motor, and the number of revolutions of the motor is calculated based on its own resolution. The relative displacement of the printhead is then calculated based on the transmission ratio between the motor and the printhead. The movement distance of the printhead can be calculated based on the initial position of the printhead and the relative displacement of the printhead, so that the current printing position can be detected in real time. By detecting the current printing position in real time, it is accurately determined whether the region boundary has been reached, thereby achieving precise switching of the paint output parameters between different regions, ensuring that each region can be printed using appropriate paint output parameters, and improving print quality.

[0070] In one embodiment, the step of adjusting the coating output parameters based on the region type includes:

[0071] Establish a database of coating output parameters corresponding to different paper materials;

[0072] Searching the coating output parameter database corresponding to the different paper materials for the coating output parameter corresponding to each identified area type;

[0073] During printing, the paint output parameters are adjusted based on the identified area type.

[0074] In this embodiment, a database of coating output parameters corresponding to different paper materials, including corrugated paper, kraft paper, and coated paper, is established. By pre-establishing a database of coating output parameters corresponding to different paper materials, coating output parameters can be adjusted based on region type during the printing process. By invoking the parameters corresponding to different paper materials in the database, efficient and high-quality printing is achieved, ensuring optimal printing results on all types of paper materials and meeting diverse printing needs.

[0075] In one embodiment, the paint output parameters include one or more of paint concentration, spraying speed, spraying pressure, and spraying flow rate.

[0076] In the embodiments of the present application, different paper materials have different characteristics. By adjusting one or more of the coating concentration, spraying speed, spraying pressure, and spraying flow rate, the coating can be better adhered to and displayed on different paper materials, thereby achieving a better coating effect. In addition, drying speed can also be used as one of the coating output parameters.

[0077] In one embodiment, after the step of capturing the image of the packaging paper to be printed by a camera, the method further includes:

[0078] Based on the image of the packaging paper to be printed, identifying defects on the packaging paper to be printed by using a target detection method;

[0079] If a defect is identified, image acquisition stops and a warning prompt is issued indicating that a defect has been identified.

[0080] In the embodiments of the present application, defect identification of wrapping paper is performed using an object detection method before printing, enabling rapid and accurate detection of defects such as tears, stains, and holes. This allows problematic wrapping paper to be identified at an early stage, preventing problems from being discovered during subsequent printing processes, thereby saving time and resources. By promptly identifying and halting processing of defective wrapping paper, defective wrapping paper can be prevented from entering the subsequent printing process, thereby ensuring that the quality of the final printed packaging product meets requirements, reducing the number of defective or scrapped products caused by wrapping paper defects, and improving overall production quality.

[0081] Specifically, a large number of images of wrapping paper, both defective and non-defective, are collected. These images are annotated, noting the location and type of defects in each image. This annotated data is then used for training to develop an object recognition model capable of identifying paper defects. The goal of model training is to minimize the discrepancy between the model's predictions and the actual annotations.

[0082] In one embodiment, the packaging paper printer further includes a lighting module, which is used to illuminate the packaging paper to be printed to obtain a clear image.

[0083] See also Figure 2 The present invention provides a coating adaptive adjustment system for packaging paper printing, the system comprising:

[0084] The acquisition module 1 is used to acquire an image of the packaging paper to be printed through a camera; wherein the packaging paper to be printed is a mixed material packaging paper;

[0085] a material identification module 2 for identifying the material of each area of the wrapping paper to be printed by an image recognition method based on the image of the wrapping paper to be printed, dividing the wrapping paper to be printed into areas according to the material type, and marking areas of wrapping paper of different materials differently to identify different area types;

[0086] The adaptive adjustment module 3 is used to adjust the coating output parameters based on the area type when printing according to the printing path.

[0087] In one embodiment, the material identification module includes:

[0088] An input unit is used to input the image of the packaging paper to be printed into a paper area material recognition model to obtain the material of each area of the packaging paper to be printed; wherein the paper area material recognition model is trained by the following method:

[0089] A large number of paper images containing regions of different materials are collected, and each of the paper images containing regions of different materials is annotated using a polygon annotation tool to construct training data. During the annotation process, for each region of different materials in the paper image, a polygon is manually drawn by clicking on its boundary points to form a closed shape; and a corresponding material type label is assigned to each drawn polygon.

[0090] Based on the training data, the YOLO model supporting instance segmentation is trained until a preset training stop condition is met.

[0091] In one embodiment, the system further comprises:

[0092] The printing path planning module is used to plan the printing path based on the area type to obtain the printing path.

[0093] In one embodiment, planning the printing path based on the area type includes:

[0094] Locate the printing start position;

[0095] Determining the positional relationship between the image and the wrapping paper to be printed according to the printing start position, the size information of the wrapping paper to be printed, the placement direction of the wrapping paper to be printed, and the size information of the image to be printed;

[0096] The printing path is planned based on the positional relationship between the image and the printed wrapping paper, the position information of each area in the wrapping paper to be printed, and the area type.

[0097] In one embodiment, the adaptive adjustment module includes:

[0098] A determination unit for determining the location of the region boundary;

[0099] A real-time detection unit, used for detecting the current printing position in real time;

[0100] a judging unit, configured to judge whether the current printing position is located at the boundary of the area;

[0101] The adjusting unit is used to adjust the coating output parameter to the coating output parameter of the next area to be printed.

[0102] In one embodiment, adjusting the coating output parameters based on the region type includes:

[0103] Establish a database of coating output parameters corresponding to different paper materials;

[0104] Searching the coating output parameter database corresponding to the different paper materials for the coating output parameter corresponding to each identified area type;

[0105] During printing, the paint output parameters are adjusted based on the identified area type.

[0106] In one embodiment, the paint output parameters include one or more of paint concentration, spraying speed, spraying pressure, and spraying flow rate.

[0107] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media provided in this application and used in the embodiments may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct RAMbus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM).

[0108] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, apparatus, article, or method comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, apparatus, article, or method. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, apparatus, article, or method comprising the element.

[0109] The above description is only a preferred embodiment of the present application and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A coating adaptive adjustment method for packaging paper printing, characterized in that: The method comprises: Capturing an image of the packaging paper to be printed by a camera; wherein the packaging paper to be printed is a mixed material packaging paper; Based on the image of the wrapping paper to be printed, identifying the material of each area of the wrapping paper to be printed by an image recognition method, dividing the wrapping paper to be printed into areas according to the material type, and marking the areas of wrapping paper of different materials differently to identify different area types; Adjusts paint output parameters based on area type when printing along a print path.

2. The coating adaptive adjustment method for packaging paper printing according to claim 1, characterized in that: The step of identifying the material of each area of the wrapping paper to be printed by an image recognition method based on the image of the wrapping paper to be printed comprises: The image of the wrapping paper to be printed is input into a paper region material recognition model to obtain the material of each region of the wrapping paper to be printed; wherein the paper region material recognition model is trained by the following method: A large number of paper images containing regions of different materials are collected, and each of the paper images containing regions of different materials is annotated using a polygon annotation tool to construct training data. During the annotation process, for each region of different materials in the paper image, a polygon is manually drawn by clicking on its boundary points to form a closed shape; and a corresponding material type label is assigned to each drawn polygon. Based on the training data, the YOLO model supporting instance segmentation is trained until a preset training stop condition is met.

3. The coating adaptive adjustment method for packaging paper printing according to claim 1, characterized in that: Before the step of adjusting the coating output parameters based on the region type when printing according to the printing path, the method further includes: The printing path is planned based on the area type to obtain the printing path.

4. The coating adaptive adjustment method for packaging paper printing according to claim 3, characterized in that: The step of planning the printing path based on the area type includes: Locate the printing start position; Determining the positional relationship between the image and the wrapping paper to be printed according to the printing start position, the size information of the wrapping paper to be printed, the placement direction of the wrapping paper to be printed, and the size information of the image to be printed; The printing path is planned based on the positional relationship between the image and the printed wrapping paper, the position information of each area in the wrapping paper to be printed, and the area type.

5. The coating adaptive adjustment method for packaging paper printing according to claim 4, characterized in that: The step of adjusting the coating output parameters based on the area type when printing according to the printing path includes: Determine the location of the region boundaries; Real-time detection of current printing position; Determining whether the current printing position is located at the region boundary; If so, the coating output parameters are adjusted to the coating output parameters of the next area to be printed.

6. The coating adaptive adjustment method for packaging paper printing according to claim 1, characterized in that: The step of adjusting the coating output parameters based on the area type includes: Establish a database of coating output parameters corresponding to different paper materials; Searching the coating output parameter database corresponding to the different paper materials for the coating output parameter corresponding to each identified area type; During printing, the paint output parameters are adjusted based on the identified area type.

7. The coating adaptive adjustment method for packaging paper printing according to claim 1, characterized in that: The coating output parameters include one or more of coating concentration, spraying speed, spraying pressure and spraying flow rate.

8. A coating adaptive adjustment system for packaging paper printing, characterized in that: The system comprises: An acquisition module, configured to acquire an image of the packaging paper to be printed through a camera; wherein the packaging paper to be printed is a mixed material packaging paper; a material recognition module for identifying the material of each area of the wrapping paper to be printed using an image recognition method based on the image of the wrapping paper to be printed, dividing the wrapping paper to be printed into areas according to the material type, and marking areas of wrapping paper of different materials differently to identify different area types; The adaptive adjustment module is used to adjust the coating output parameters based on the area type when printing according to the printing path.

9. The coating adaptive adjustment system for packaging paper printing according to claim 8, characterized in that: The material identification module includes: An input unit is used to input the image of the packaging paper to be printed into a paper area material recognition model to obtain the material of each area of the packaging paper to be printed; wherein the paper area material recognition model is trained by the following method: A large number of paper images containing regions of different materials are collected, and each of the paper images containing regions of different materials is annotated using a polygon annotation tool to construct training data. During the annotation process, for each region of different materials in the paper image, a polygon is manually drawn by clicking on its boundary points to form a closed shape; and a corresponding material type label is assigned to each drawn polygon. Based on the training data, the YOLO model supporting instance segmentation is trained until a preset training stop condition is met.

10. The coating adaptive adjustment system for packaging paper printing according to claim 8, characterized in that: The system further comprises: The printing path planning module is used to plan the printing path based on the area type to obtain the printing path.

Images