Packaging quality identification system based on visual analysis

Abstract

The invention discloses a packaging quality identification system based on visual analysis, relates to the field of packaging quality identification, and adopts an intelligent image acquisition control model to adaptively adjust the brightness, angle and acquisition parameters of a light source according to a product packaging material and an environment illumination condition, so as to effectively overcome material surface reflection interference and ensure image acquisition quality. Meanwhile, the filling safety coefficient and the outer package quality coefficient are integrated, an overall quality evaluation result is obtained through weighted calculation, real-time early warning and decision making are supported, personal errors are greatly reduced, the automation level and reliability of package quality control are improved, and the method is suitable for real-time quality monitoring of a large-scale production line.

Description

Technical Field

[0001] This application relates to the field of packaging quality identification, and in particular to a packaging quality identification system based on visual analysis. Background Technology

[0002] In industrial production, packaging quality directly impacts a product's market image, transportation safety, and consumer experience. Traditional packaging quality inspection relies heavily on manual visual inspection, which is not only inefficient but also susceptible to subjective factors, leading to high rates of missed and false detections, making it difficult to meet the demands of modern large-scale production. With the rapid development of machine vision and image processing technologies, visual analysis-based packaging quality identification systems have emerged, becoming a key means to improve inspection accuracy and efficiency.

[0003] Existing technologies struggle to accurately determine the tightness and gaps between the cushioning material and the product, making it difficult to accurately assess the quality of the cushioning material and effectively ensure that the product is well protected during transportation. Summary of the Invention

[0004] The purpose of this invention is to provide a packaging quality identification system based on visual analysis to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a packaging quality identification system based on visual analysis, comprising: Basic Information Acquisition Module: Used to acquire basic information about the product packaging line and establish a basic information set for the products to be packaged; Buffer filling stage analysis module: used to analyze the basic information set corresponding to the product to be packaged, and obtain the filling safety factor of the product to be packaged and the corresponding buffer. Preliminary safety analysis module: used to make a preliminary judgment based on the safety factor of the product to be packaged and the corresponding cushioning material, and obtain the preliminary identification result of the packaging quality; Packaging and Transportation Stage Analysis Module: This module analyzes the basic information set of the product to be packaged to obtain the quality coefficient of the outer packaging of the product. The comprehensive inspection stage analysis module is used to analyze the outer packaging quality coefficient of the product to be packaged and the filling safety coefficient of the product to be packaged and the corresponding cushioning material to obtain the comprehensive analysis results of the product packaging quality.

[0006] In the preferred embodiment of this solution, the basic information acquisition module is executed as follows: Obtain production task information corresponding to the product packaging line, wherein the production task information includes the types of products to be packaged and the packaging stages corresponding to the products to be packaged. The packaging stage includes the cushioning filling stage, the packaging and transportation stage, and the comprehensive inspection stage. Establish the data extraction relationship between the basic information acquisition module and the database, extract the packaging requirements of each packaging stage corresponding to various products stored in the database, and filter by the type of product to be packaged to obtain the packaging requirements of each packaging stage corresponding to the product to be packaged. A basic information set for the product to be packaged is established based on the packaging stages, packaging tasks, and packaging requirements of each packaging stage.

[0007] In the preferred embodiment of this scheme, the specific execution method of the buffer filling stage analysis module is as follows: Establish a data extraction relationship between the buffer filling stage analysis module and the database, extract the independent packaging information corresponding to various types of products stored in the database. The independent packaging information refers to the independent packaging material and surface smoothness. Filter by the type of product to be packaged to obtain the independent packaging material and surface smoothness of the product to be packaged. Extract the material and surface smoothness of each type of buffer stored in the database; Information is extracted from the packaging requirements of the product to be packaged, including the type of cushioning material and the filling standard of the cushioning material. The material and surface smoothness of the cushioning material corresponding to the product to be packaged are then obtained. Obtain the light reflectance corresponding to different materials and surface smoothness from the database; By screening the materials and surface smoothness of the individual packaging and the materials and surface smoothness of the cushioning material, the light reflectance of the individual packaging and the light reflectance of the cushioning material corresponding to the product to be packaged are obtained. Information on the packaging requirements for the cushioning filling stage of the product to be packaged is extracted. The packaging requirements include the type of cushioning material and the cushioning filling standard. The cushioning material corresponding to the product to be packaged is then selected. The light reflectance of the individual packaging and the light reflectance of the cushioning material corresponding to the product to be packaged are recorded as the initial image acquisition reference set; The environmental information of the area corresponding to the buffer filling stage is obtained by monitoring the preset environmental monitoring equipment. The environmental information includes light intensity and light angle. An image acquisition control model is established based on the preliminary image acquisition reference set and the environmental information of the corresponding area during the buffer filling stage. Data analysis is performed through the image acquisition control model to obtain the image acquisition light source control results for the corresponding area during the buffer filling stage. The image acquisition light source control results include light source brightness control, light source angle control, and image acquisition angle control. Image acquisition is performed based on the control results of the image acquisition light source. Obtain images of the product to be packaged and the corresponding cushioning material, and record them as target images. Perform grayscale processing on the target images to obtain the grayscale images corresponding to the target images. The grayscale value of each pixel in the grayscale image is obtained, and a boundary analysis model is established based on the grayscale value of each pixel in the grayscale image. The data analysis is performed through the boundary analysis model to obtain the non-close contact length, close contact length, and average width of the gap corresponding to each non-close contact boundary between the product to be packaged and the corresponding buffer. Information is extracted from the cushioning filling standard of the corresponding cushioning filling stage of the product to be packaged to obtain the standard non-close contact length, standard close contact length and standard average width of the non-close contact gap between the product to be packaged and the corresponding cushioning; A filling safety analysis model is developed based on the length of non-close contact, the length of close contact, the average width of the gaps corresponding to each non-close contact boundary, and the filling standard of the corresponding cushioning material during the filling stage of the product to be packaged. Data analysis is then performed using the filling safety analysis model to obtain the filling safety coefficient of the product to be packaged and the corresponding cushioning material.

[0008] In the preferred embodiment of this solution, the specific execution method of the packaging and transportation stage analysis module is as follows: The light intensity and angle of the corresponding area during the packaging and transportation stage are monitored and obtained through pre-set environmental monitoring equipment. Obtain the material and surface smoothness of the outer packaging corresponding to the product to be packaged, and obtain the light reflectance of the outer packaging through screening; The light intensity and light angle of the corresponding area of ​​the packaging and transportation stage and the light reflectance of the outer packaging are processed by the image acquisition and control model to obtain the image acquisition light source control results corresponding to the packaging and transportation stage. The image acquisition light source control results include the image acquisition light source control results of each outer surface of the outer packaging. The image acquisition light source control results are used to acquire images of the outer packaging of the product to be packaged, and images of each outer surface of the outer packaging are obtained. A three-dimensional model of the outer packaging is built based on the images of each outer surface of the outer packaging. A contour scanner is used to scan the three-dimensional model of the outer packaging from all directions to build the contour model of the outer packaging. Information is extracted from the outline model corresponding to the outer packaging to obtain the damage information of each outer surface corresponding to the outline model. Based on the damage information of each outer surface corresponding to the outline model, a packaging quality analysis model is established. The packaging quality analysis model is then used to analyze the product and obtain the outer packaging quality coefficient.

[0009] In the preferred embodiment of this scheme, the specific execution method of the comprehensive testing phase analysis module is as follows: Obtain the influence weights of the comprehensive packaging quality assessment coefficient corresponding to the outer packaging quality coefficient and the filling safety coefficient of the product to be packaged and the corresponding cushioning material; The comprehensive packaging quality assessment coefficient is equal to the sum of the product of the outer packaging quality coefficient, the filling safety factor of the product to be packaged and the corresponding cushioning material, and the influence weight of the corresponding comprehensive packaging quality assessment coefficient; The comprehensive packaging quality assessment coefficient is compared with the preset comprehensive packaging quality assessment coefficient threshold. If the comprehensive packaging quality assessment coefficient is less than or equal to the preset comprehensive packaging quality assessment coefficient threshold, it indicates that the product packaging quality of the product to be packaged is unqualified. If the comprehensive packaging quality assessment coefficient is greater than the preset comprehensive packaging quality assessment coefficient threshold, it indicates that the product packaging quality of the product to be packaged is qualified. The qualified or unqualified product packaging quality of the product to be packaged is recorded as the comprehensive analysis result of the product packaging quality of the product to be packaged.

[0010] Compared with the prior art, the beneficial effects of the present invention are: This system achieves comprehensive, efficient, and precise monitoring of the packaging process through the collaborative work of multiple modules. It adopts an intelligent image acquisition and control model, which adaptively adjusts the brightness, angle, and acquisition parameters of the light source according to the product packaging materials and ambient lighting conditions. This effectively overcomes interference from material surface reflections, ensures image acquisition quality, and provides a reliable data foundation for subsequent analysis.

[0011] By using boundary analysis models and filling safety analysis models, the contact state between the product and the buffer is accurately quantified. Combined with standard data in the database, the filling safety factor is automatically calculated, improving the objectivity and accuracy of buffer filling assessment.

[0012] During the packaging and transportation stage, 3D modeling and contour scanning technology are used to detect defects such as scratches, cracks and missing parts of the outer packaging in detail, and to calculate the outer packaging quality coefficient to achieve a quantitative assessment of the outer packaging quality.

[0013] The system integrates the filling safety factor and the outer packaging quality factor, and obtains the overall quality assessment result through weighted calculation. It supports real-time early warning and decision-making, greatly reduces human error, improves the automation level and reliability of packaging quality control, and is suitable for real-time quality monitoring of large-scale production lines. Attached Figure Description

[0014] The present invention will be further described with reference to the accompanying drawings, but the embodiments in the drawings do not constitute any limitation on the present invention. For those skilled in the art, other drawings can be obtained based on the following drawings without creative effort.

[0015] Figure 1 This is a schematic diagram of module connections in an embodiment of the present invention. Detailed Implementation

[0016] 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. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] Please see Figure 1 The present invention provides a packaging quality identification system based on visual analysis, which includes a basic information acquisition module, a cushioning filling stage analysis module, a preliminary safety analysis module, a packaging and transportation stage analysis module, and a comprehensive inspection stage analysis module. The basic information acquisition module is connected to the buffer filling stage analysis module and the packaging and transportation stage analysis module; the buffer filling stage analysis module is connected to the preliminary safety analysis module; and the packaging and transportation stage analysis module is connected to the comprehensive inspection stage analysis module. Basic Information Acquisition Module: Used to acquire basic information about the product packaging line and establish a basic information set for the products to be packaged; Furthermore, the specific execution method of the basic information acquisition module is as follows: Obtain production task information corresponding to the product packaging line, wherein the production task information includes the types of products to be packaged and the packaging stages corresponding to the products to be packaged. The packaging stage includes the cushioning filling stage, the packaging and transportation stage, and the comprehensive inspection stage. Establish the data extraction relationship between the basic information acquisition module and the database, extract the packaging requirements of each packaging stage corresponding to various products stored in the database, and filter by the type of product to be packaged to obtain the packaging requirements of each packaging stage corresponding to the product to be packaged. A basic information set for the product to be packaged is established based on the packaging stages, packaging tasks, and packaging requirements of each packaging stage.

[0018] Buffer filling stage analysis module: used to analyze the basic information set corresponding to the product to be packaged, and obtain the filling safety factor of the product to be packaged and the corresponding buffer. Furthermore, the specific execution method of the buffer filling stage analysis module is as follows: Establish a data extraction relationship between the buffer filling stage analysis module and the database, extract the independent packaging information corresponding to various types of products stored in the database. The independent packaging information refers to the independent packaging material and surface smoothness. Filter by the type of product to be packaged to obtain the independent packaging material and surface smoothness of the product to be packaged. It should be noted that: independent packaging material refers to the main packaging material of the product itself, such as the outer packaging material of bottled water being plastic; Extract the material and surface smoothness of each type of buffer stored in the database; Information is extracted from the packaging requirements of the product to be packaged, including the type of cushioning material and the filling standard of the cushioning material. The material and surface smoothness of the cushioning material corresponding to the product to be packaged are then obtained. Obtain the light reflectance corresponding to different materials and surface smoothness from the database; By screening the materials and surface smoothness of the individual packaging and the materials and surface smoothness of the cushioning material, the light reflectance of the individual packaging and the light reflectance of the cushioning material corresponding to the product to be packaged are obtained. Information on the packaging requirements for the cushioning filling stage of the product to be packaged is extracted. The packaging requirements include the type of cushioning material and the cushioning filling standard. The cushioning material corresponding to the product to be packaged is then selected. The light reflectance of the individual packaging and the light reflectance of the cushioning material corresponding to the product to be packaged are recorded as the initial image acquisition reference set; The environmental information of the area corresponding to the buffer filling stage is obtained by monitoring the preset environmental monitoring equipment. The environmental information includes light intensity and light angle. An image acquisition control model is established based on the preliminary image acquisition reference set and the environmental information of the corresponding area during the buffer filling stage. Data analysis is performed through the image acquisition control model to obtain the image acquisition light source control results for the corresponding area during the buffer filling stage. The image acquisition light source control results include light source brightness control, light source angle control, and image acquisition angle control. It should be noted that the specific analysis method for obtaining the image acquisition light source control results for the corresponding area during the buffer filling stage through data analysis using the image acquisition control model is as follows: The light reflectance of the individual packaging, the light reflectance of the cushioning material, the ambient light intensity, and the ambient light angle were respectively measured as Rpkg, Rbuf, Lenv, env; Light source luminance B = α*(1-(Rpkg+Rbuf) / 2)+β*Lenv*cos env; α and β are preset weights; If Rpkg > Rbuf, prioritize avoiding direct light from the surface of individual packaging, and adjust the ambient light angle θlight to deviate from θenv by 30°. The image acquisition angle θcam is controlled to form a 120° angle with θlight to reduce specular reflection; Statistical control of light source brightness, light source angle, and image acquisition angle; Image acquisition is performed based on the control results of the image acquisition light source. Obtain images of the product to be packaged and the corresponding cushioning material, and record them as target images. Perform grayscale processing on the target images to obtain the grayscale images corresponding to the target images. The grayscale value of each pixel in the grayscale image is obtained, and a boundary analysis model is established based on the grayscale value of each pixel in the grayscale image. The data analysis is performed through the boundary analysis model to obtain the non-close contact length, close contact length, and average width of the gap corresponding to each non-close contact boundary between the product to be packaged and the corresponding buffer. It should be noted that the specific analysis method for obtaining the non-close contact length, close contact length, and average width of the corresponding gap between the product to be packaged and the corresponding cushioning material through boundary analysis model is as follows: Identify the outer boundary of the product to be packaged and the inner boundary of the buffer based on the region growing algorithm; The inner boundary of the buffer refers to the boundary that comes into contact with the product to be packaged, and the outer boundary of the buffer refers to the boundary that comes into contact with the outer packaging. Extract the set of outer boundary points P = {p1, p2, ..., p} of the product to be packaged. n Arranged in clockwise order; Extract the inner boundary point set C = {c1, c2, ..., c} within the buffer. m Arranged in clockwise order; For the outer boundary point of the product to be packaged, search for the corresponding point with the smallest distance on the boundary of the buffer to obtain the minimum spacing; Close contact determination; The distance between boundary points d ≤ D, where D = kd × pixel_size, and kd is the preset tight contact coefficient, and pixel_size is the physical size of the pixel; If d ≤ D, it means that the boundary points are tightly connected; if d > D, it means that the boundary points are not tightly connected. The tight-connected length and loose-connected length corresponding to the outer boundary of the product to be packaged are statistically obtained. Gap width calculation; Obtain the non-tightly connected points corresponding to the set of outer boundary points of the product to be packaged, and physically connect the non-tightly connected points to obtain the non-tightly connected boundaries. Obtain the minimum spacing of each loosely connected point in each loosely connected boundary, and calculate the average width of the gap corresponding to each loosely connected boundary by averaging the minimum spacing. Information is extracted from the cushioning filling standard of the corresponding cushioning filling stage of the product to be packaged to obtain the standard non-close contact length, standard close contact length and standard average width of the non-close contact gap between the product to be packaged and the corresponding cushioning; A filling safety analysis model is developed based on the non-close contact length, close contact length, average width of the gap corresponding to each non-close contact boundary, and the filling standard of the corresponding cushioning material during the filling stage of the product to be packaged. Data analysis is then performed using the filling safety analysis model to obtain the filling safety factor of the product to be packaged and the corresponding cushioning material. It should be noted that the specific analysis method for obtaining the filling safety coefficient of the product to be packaged and the corresponding cushioning material through data analysis using the filling safety analysis model is as follows: Obtain the total length of the outer boundary of the product to be packaged. Calculate the threat index corresponding to each non-closely contacted boundary; Threat Index = Average width of gaps corresponding to each non-closely contacting boundary / Standard non-closely contacting length; Calculate the filling safety factor of the product to be packaged and the corresponding cushioning material. Filling safety factor = (length of close contact / total length of outer boundary) × contact weight factor + ((length of each non-close contact / total length of outer boundary) × threat index corresponding to each non-close contact boundary) / number of non-close contact boundaries) × non-contact weight factor; The contact weighting coefficient and the non-contact weighting coefficient are preset and obtained through multiple experiments.

[0019] Preliminary safety analysis module: used to make a preliminary judgment based on the safety factor of the product to be packaged and the corresponding cushioning material, and obtain the preliminary identification result of the packaging quality; Furthermore, the specific execution method of the preliminary security analysis module is as follows: The filling safety factor of the product to be packaged and the corresponding cushioning material is compared and analyzed with the preset filling safety factor threshold of the product to be packaged and the corresponding cushioning material. If the filling safety factor of the product to be packaged and the corresponding cushioning material is less than or equal to the preset filling safety factor threshold of the product to be packaged and the corresponding cushioning material, it indicates that the cushioning material filling stage is normal. If the filling safety factor of the product to be packaged and the corresponding cushioning material is greater than the preset filling safety factor threshold of the product to be packaged and the corresponding cushioning material, it indicates that the cushioning material filling stage is abnormal and an early warning is issued.

[0020] Packaging and Transportation Stage Analysis Module: This module analyzes the basic information set of the product to be packaged to obtain the quality coefficient of the outer packaging of the product. Furthermore, the specific execution method of the packaging and transportation stage analysis module is as follows: The light intensity and angle of the corresponding area during the packaging and transportation stage are monitored and obtained through pre-set environmental monitoring equipment. Obtain the material and surface smoothness of the outer packaging corresponding to the product to be packaged, and obtain the light reflectance of the outer packaging through screening; The light intensity and light angle of the corresponding area of ​​the packaging and transportation stage and the light reflectance of the outer packaging are processed by the image acquisition and control model to obtain the image acquisition light source control results corresponding to the packaging and transportation stage. The image acquisition light source control results include the image acquisition light source control results of each outer surface of the outer packaging. The image acquisition light source control results are used to acquire images of the outer packaging of the product to be packaged, and images of each outer surface of the outer packaging are obtained. A three-dimensional model of the outer packaging is built based on the images of each outer surface of the outer packaging. A contour scanner is used to scan the three-dimensional model of the outer packaging from all directions to build the contour model of the outer packaging. Information is extracted from the outline model corresponding to the outer packaging to obtain the damage information of each outer surface corresponding to the outline model. Based on the damage information of each outer surface corresponding to the outline model, a packaging quality analysis model is established. The packaging quality analysis model is then used to analyze the product and obtain the outer packaging quality coefficient.

[0021] It should be noted that the analysis process for obtaining the outer packaging quality coefficient of the product to be packaged through the packaging quality analysis model is as follows: The damage information includes the number of scratches on each outer surface, the total length of the scratches, the number of cracks, the total length of the cracks, and the missing area; Obtain the area of ​​each outer surface of the outer packaging; The number of scratches, total scratch length, number of cracks, and total length of cracks per unit area of ​​each outer surface are obtained by calculation. The defect ratio corresponding to each outer surface is calculated; The scratch anomaly index corresponding to each outer surface is calculated as follows: number of scratches per unit area / preset standard number of scratches per unit area += total scratch length per unit area / preset standard total scratch length per unit area. The crack anomaly index corresponding to each outer surface is calculated as follows: number of cracks per unit area / preset standard number of cracks per unit area + = total crack length per unit area / preset standard total crack length per unit area. Missing percentage = Missing area / Area of ​​each outer surface; Obtain the weights of the preset crack anomaly index, scratch anomaly index, and missing proportion on the outer packaging quality coefficient; The outer packaging quality coefficient is equal to the sum of the products of the crack anomaly index, the scratch anomaly index, and the missing proportion, and their corresponding influence weights. The comprehensive inspection stage analysis module is used to analyze the outer packaging quality coefficient of the product to be packaged and the filling safety coefficient of the product to be packaged and the corresponding cushioning material to obtain the comprehensive analysis results of the product packaging quality.

[0022] Furthermore, the specific execution method of the comprehensive testing phase analysis module is as follows: Obtain the influence weights of the comprehensive packaging quality assessment coefficient corresponding to the outer packaging quality coefficient and the filling safety coefficient of the product to be packaged and the corresponding cushioning material; The comprehensive packaging quality assessment coefficient is equal to the sum of the product of the outer packaging quality coefficient, the filling safety factor of the product to be packaged and the corresponding cushioning material, and the influence weight of the corresponding comprehensive packaging quality assessment coefficient; The comprehensive packaging quality assessment coefficient is compared with the preset comprehensive packaging quality assessment coefficient threshold. If the comprehensive packaging quality assessment coefficient is less than or equal to the preset comprehensive packaging quality assessment coefficient threshold, it indicates that the product packaging quality of the product to be packaged is unqualified. If the comprehensive packaging quality assessment coefficient is greater than the preset comprehensive packaging quality assessment coefficient threshold, it indicates that the product packaging quality of the product to be packaged is qualified. The qualified or unqualified product packaging quality of the product to be packaged is recorded as the comprehensive analysis result of the product packaging quality of the product to be packaged.

[0023] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A vision analysis based packaging quality identification system, characterized by: include: Basic Information Acquisition Module: Used to acquire basic information about the product packaging line and establish a basic information set for the products to be packaged; Buffer filling stage analysis module: used to analyze the basic information set corresponding to the product to be packaged, and obtain the filling safety factor of the product to be packaged and the corresponding buffer. Preliminary safety analysis module: used to make a preliminary judgment based on the safety factor of the product to be packaged and the corresponding cushioning material, and obtain the preliminary identification result of the packaging quality; Packaging and Transportation Stage Analysis Module: This module analyzes the basic information set of the product to be packaged to obtain the quality coefficient of the outer packaging of the product. The comprehensive inspection stage analysis module is used to analyze the outer packaging quality coefficient of the product to be packaged and the filling safety coefficient of the product to be packaged and the corresponding cushioning material to obtain the comprehensive analysis results of the product packaging quality.

2. A vision analysis based packaging quality identification system as claimed in claim 1, wherein: The specific execution method of the basic information acquisition module is as follows: Obtain production task information corresponding to the product packaging line, wherein the production task information includes the types of products to be packaged and the packaging stages corresponding to the products to be packaged. The packaging stage includes the cushioning filling stage, the packaging and transportation stage, and the comprehensive inspection stage. Establish the data extraction relationship between the basic information acquisition module and the database, extract the packaging requirements of each packaging stage corresponding to various products stored in the database, and filter by the type of product to be packaged to obtain the packaging requirements of each packaging stage corresponding to the product to be packaged. A basic information set for the product to be packaged is established based on the packaging stages, packaging tasks, and packaging requirements of each packaging stage.

3. The vision analysis based packaging quality identification system as claimed in claim 1, wherein: The specific execution method of the buffer filling stage analysis module is as follows: Establish a data extraction relationship between the buffer filling stage analysis module and the database, extract the independent packaging information corresponding to various types of products stored in the database. The independent packaging information refers to the independent packaging material and surface smoothness. Filter by the type of product to be packaged to obtain the independent packaging material and surface smoothness of the product to be packaged. Extract the material and surface smoothness of each type of buffer stored in the database; Information is extracted from the packaging requirements of the product to be packaged, including the type of cushioning material and the filling standard of the cushioning material. The material and surface smoothness of the cushioning material corresponding to the product to be packaged are then obtained. Obtain the light reflectance corresponding to different materials and surface smoothness from the database; By screening the materials and surface smoothness of the individual packaging and the materials and surface smoothness of the cushioning material, the light reflectance of the individual packaging and the light reflectance of the cushioning material corresponding to the product to be packaged are obtained. Information on the packaging requirements for the cushioning filling stage of the product to be packaged is extracted. The packaging requirements include the type of cushioning material and the cushioning filling standard. The cushioning material corresponding to the product to be packaged is then selected. The light reflectance of the individual packaging and the light reflectance of the cushioning material corresponding to the product to be packaged are recorded as the initial image acquisition reference set; The environmental information of the area corresponding to the buffer filling stage is obtained by monitoring the preset environmental monitoring equipment. The environmental information includes light intensity and light angle. An image acquisition control model is established based on the preliminary image acquisition reference set and the environmental information of the corresponding area during the buffer filling stage. Data analysis is performed through the image acquisition control model to obtain the image acquisition light source control results for the corresponding area during the buffer filling stage. The image acquisition light source control results include light source brightness control, light source angle control, and image acquisition angle control. Image acquisition is performed based on the control results of the image acquisition light source. Obtain images of the product to be packaged and the corresponding cushioning material, and record them as target images. Perform grayscale processing on the target images to obtain the grayscale images corresponding to the target images. The grayscale value of each pixel in the grayscale image is obtained, and a boundary analysis model is established based on the grayscale value of each pixel in the grayscale image. The data analysis is performed through the boundary analysis model to obtain the non-close contact length, close contact length, and average width of the gap corresponding to each non-close contact boundary between the product to be packaged and the corresponding buffer. Information is extracted from the cushioning filling standard of the corresponding cushioning filling stage of the product to be packaged to obtain the standard non-close contact length, standard close contact length and standard average width of the non-close contact gap between the product to be packaged and the corresponding cushioning; A filling safety analysis model is developed based on the length of non-close contact, the length of close contact, the average width of the gaps corresponding to each non-close contact boundary, and the filling standard of the corresponding cushioning material during the filling stage of the product to be packaged. Data analysis is then performed using the filling safety analysis model to obtain the filling safety coefficient of the product to be packaged and the corresponding cushioning material.

4. The vision analysis based packaging quality identification system according to claim 3, characterized in that: The specific execution method of the preliminary security analysis module is as follows: The filling safety factor of the product to be packaged and the corresponding cushioning material is compared and analyzed with the preset filling safety factor threshold of the product to be packaged and the corresponding cushioning material. If the filling safety factor of the product to be packaged and the corresponding cushioning material is less than or equal to the preset filling safety factor threshold of the product to be packaged and the corresponding cushioning material, it indicates that the cushioning material filling stage is normal. If the filling safety factor of the product to be packaged and the corresponding cushioning material is greater than the preset filling safety factor threshold of the product to be packaged and the corresponding cushioning material, it indicates that the cushioning material filling stage is abnormal and an early warning is issued.

5. The vision analysis based packaging quality identification system as claimed in claim 2, wherein: The specific execution method of the packaging and transportation stage analysis module is as follows: The light intensity and angle of the corresponding area during the packaging and transportation stage are monitored and obtained through pre-set environmental monitoring equipment. Obtain the material and surface smoothness of the outer packaging corresponding to the product to be packaged, and obtain the light reflectance of the outer packaging through screening; The light intensity and light angle of the corresponding area of ​​the packaging and transportation stage and the light reflectance of the outer packaging are processed by the image acquisition and control model to obtain the image acquisition light source control results corresponding to the packaging and transportation stage. The image acquisition light source control results include the image acquisition light source control results of each outer surface of the outer packaging. The image acquisition light source control results are used to acquire images of the outer packaging of the product to be packaged, and images of each outer surface of the outer packaging are obtained. A three-dimensional model of the outer packaging is built based on the images of each outer surface of the outer packaging. A contour scanner is used to scan the three-dimensional model of the outer packaging from all directions to build the contour model of the outer packaging. Information is extracted from the outline model corresponding to the outer packaging to obtain the damage information of each outer surface corresponding to the outline model. Based on the damage information of each outer surface corresponding to the outline model, a packaging quality analysis model is established. The packaging quality analysis model is then used to analyze the product and obtain the outer packaging quality coefficient.

6. The vision analysis based packaging quality identification system as claimed in claim 1, wherein: The specific execution method of the comprehensive testing phase analysis module is as follows: Obtain the influence weights of the comprehensive packaging quality assessment coefficient corresponding to the outer packaging quality coefficient and the filling safety coefficient of the product to be packaged and the corresponding cushioning material; The comprehensive packaging quality assessment coefficient is equal to the sum of the product of the outer packaging quality coefficient, the filling safety factor of the product to be packaged and the corresponding cushioning material, and the influence weight of the corresponding comprehensive packaging quality assessment coefficient; The comprehensive packaging quality assessment coefficient is compared with the preset comprehensive packaging quality assessment coefficient threshold. If the comprehensive packaging quality assessment coefficient is less than or equal to the preset comprehensive packaging quality assessment coefficient threshold, it indicates that the product packaging quality of the product to be packaged is unqualified. If the comprehensive packaging quality assessment coefficient is greater than the preset comprehensive packaging quality assessment coefficient threshold, it indicates that the product packaging quality of the product to be packaged is qualified. The qualified or unqualified product packaging quality of the product to be packaged is recorded as the comprehensive analysis result of the product packaging quality of the product to be packaged.

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