Meter and terminal packaging information automatic verification method and system

Abstract

The invention discloses a meter and terminal packaging information automatic verification method and system, and relates to the technical field of information verification. The method comprises the following steps: obtaining the type and specification of a product, establishing an image template containing a calibration area, and establishing a binding relationship among a product asset number, a two-dimensional code asset number and a seal asset number in an MES; when the product is transferred to a verification station, extracting image information; according to the image template and the binding relation, a verification threshold is deployed on the edge side of the station, multi-stage verification is performed on the image information, and a multi-stage verification result is determined; and carrying out product production line circulation management according to the multi-stage verification result. The technical problem that in the prior art, verification accuracy and efficiency are low due to the fact that meter and terminal product packaging information verification depends on manual checking is solved, and the technical effect that packaging information automatic identification and multi-level consistency verification are achieved based on the image template and asset binding relation, so that the packaging information verification accuracy and efficiency are improved is achieved.

Description

Technical Field

[0001] This invention relates to the field of information verification technology, specifically to an automated verification method and system for information on meter and terminal packaging. Background Technology

[0002] In the packaging process of meters and end products, it is usually necessary to bind and manage the seal asset number and nameplate asset number, and to verify the consistency between the asset information marked on the nameplate and the corresponding QR code information to ensure the accuracy and traceability of product asset information during production, warehousing, and subsequent circulation. There are multiple relationships between the above packaging information; mismatches, omissions, or identification errors can easily lead to asset management chaos, affecting product quality control and subsequent operation and maintenance. However, existing packaging information verification methods mainly rely on manual labor, typically involving operators visually inspecting or manually comparing the seal markings, nameplate information, and QR code information item by item. In actual production environments, this manual verification method is easily affected by factors such as differences in personnel experience, operator fatigue, and ambient lighting conditions, making it difficult to maintain consistent accuracy in information identification and comparison results. Furthermore, the manual verification process often needs to be completed sequentially across multiple processes or workstations, exhibiting a serial execution characteristic, resulting in low verification efficiency and difficulty in meeting the production line cycle requirements of mass production and continuous manufacturing of meters and end products. Summary of the Invention

[0003] This application provides an automated verification method and system for meter and terminal product packaging information, which solves the technical problem that the verification of meter and terminal product packaging information in the prior art relies on manual verification, resulting in low verification accuracy and efficiency.

[0004] A first aspect of this application provides an automated verification method for meter and terminal packaging information, the method comprising: Obtain product type and specifications, establish an image template containing the calibration area, and establish a binding relationship between product asset number, QR code asset number, and seal asset number in MES; when the product flows to the verification station, capture the front image of the product and drive the image processor to extract image information, wherein the image information includes nameplate information, seal information, and QR code information; according to the image template and binding relationship, deploy verification thresholds on the edge side of the station, perform multi-level verification on the image information, and determine the multi-level verification results; based on the multi-level verification results, manage the product production line flow.

[0005] A second aspect of this application provides an automated verification system for meter and terminal packaging information, the system comprising: Template creation module: Obtains product type and specifications, creates an image template containing a calibration area, and establishes a binding relationship between product asset number, QR code asset number, and seal asset number in MES; Image acquisition module: When a product flows to the verification station, it acquires a front image of the product and drives the image processor to extract image information, including nameplate information, seal information, and QR code information; Multi-level verification module: Based on the image template and binding relationship, it deploys verification thresholds at the edge of the station, performs multi-level verification on the image information, and determines the multi-level verification results; Flow management module: Based on the multi-level verification results, it manages the product production line flow.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages: First, the product type and specifications are obtained, and an image template containing the calibration area is created. A binding relationship is established between the product asset number, QR code asset number, and seal asset number in the MES (Manufacturing Execution System). Next, when the product flows to the verification station, a front image of the product is captured, and the image processor is driven to extract image information, including nameplate information, seal information, and QR code information. Then, based on the image template and binding relationship, verification thresholds are deployed at the edge of the station to perform multi-level verification on the image information and determine the multi-level verification results. Finally, based on the multi-level verification results, product production line flow management is performed. This solves the technical problem in existing technologies where the verification of meter and terminal product packaging information relies on manual checking, resulting in low verification accuracy and efficiency. It achieves the technical effect of automatically identifying and multi-level consistent verification of packaging information based on image templates and asset binding relationships, thereby improving the accuracy and efficiency of packaging information verification. Attached Figure Description

[0007] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0008] Figure 1 A schematic flowchart of an automated verification method for meter and terminal packaging information is provided for an embodiment of this application; Figure 2 This is a schematic diagram of an automated verification system for meter and terminal packaging information provided in an embodiment of this application.

[0009] Figure labeling: Template creation module 11, image acquisition module 12, multi-level verification module 13, circulation management module 14. Detailed Implementation

[0010] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0011] Example 1, as Figure 1 As shown, this application provides an automated verification method for meter and terminal packaging information, wherein the method includes: Obtain product type and specifications, create an image template containing the calibration area, and establish the binding relationship between product asset number, QR code asset number and seal asset number in MES.

[0012] In this embodiment, the product type and specifications of the product to be packaged are read from the Manufacturing Execution System (MES). The product type is used to distinguish different models of meters or end products, and the specifications are used to define the nameplate layout size and information field structure of the corresponding product. Based on the obtained product type and specifications, a pre-configured image template generation rule is invoked to create an image template corresponding to the product type and specifications. The image template predefines a calibration area for subsequent identification. The calibration area includes at least the position coordinates, size range, or boundary features of the nameplate information area, seal information area, and QR code information area.

[0013] After the image template is established, the asset management interface of the MES system is used to establish a binding relationship between the product asset number, QR code asset number, and seal asset number. Specifically, the product asset number is used as the main index field, and the QR code asset number and seal asset number corresponding to the product are written into the same binding record, forming a one-to-one asset binding relationship data. The binding relationship is stored before the product enters the verification station and serves as the comparison basis for subsequent automated verification of packaging information, ensuring that consistent verification of various packaging information can be performed based on a unified asset binding relationship during image recognition and information verification.

[0014] Furthermore, creating an image template containing the calibration region includes: Based on the product type and specifications, determine the standard layout and information fields of the nameplate; obtain the nameplate image of the standard product, and annotate the key information areas according to the standard layout and information fields; associate and store the annotated nameplate image with the product type and specifications to generate the image template.

[0015] First, based on the product type and corresponding product specification rules, determine the standard layout and information field structure of the product nameplate. The standard layout includes at least the relative position and size ratio of the nameplate on the front of the product, and the arrangement order of each information field within the nameplate. The information fields include at least the product asset number field, model field, and other identification fields used for asset identification. Then, select a standard product sample corresponding to the product type and specifications, acquire the nameplate image of the standard product, and based on the standard layout and information field structure, annotate the key information areas corresponding to each information field in the nameplate image. The annotation method includes using rectangles, polygons, or coordinate intervals to determine the spatial range of each key information area. Finally, associate and store the annotated nameplate image with the corresponding product type and specification parameters to form an image template containing the annotation data of the key information areas. This image template is then used as a reference template for subsequent automatic identification and consistency verification of packaging information.

[0016] Furthermore, by calling the MES system interface, the image template and binding relationship can be queried in real time; the system interface and the verification threshold have established information exchange.

[0017] By calling the system interface of the Manufacturing Execution System (MES), the image templates and asset binding relationships corresponding to the currently verified product can be queried in real time. Specifically, the system interface initiates a query request to the MES based on the product asset number, product type, or workstation identifier, and returns image template data matching the product, as well as binding relationship data between the product asset number, QR code asset number, and seal asset number from the MES. The image template data includes at least the location parameters and information field definitions of the calibration area, and the binding relationship data includes at least the one-to-one correspondence between each asset identifier.

[0018] An information exchange mechanism is established between the system interface and the verification threshold. Before or during multi-level verification, the verification threshold obtains the required image template and binding relationship through the system interface, and performs real-time comparison and verification of the image processing results based on the obtained data. When the verification threshold generates a verification result or an anomaly determination, it feeds back the corresponding verification status, anomaly type or interception instruction to the MES through the system interface to drive subsequent production line flow control or anomaly handling.

[0019] When the product moves to the verification station, an image of the front of the product is captured and the image processor is driven to extract image information, which includes nameplate information, seal information and QR code information.

[0020] When a product flows along the production line to the verification station, a trigger device or station control signal at the verification station triggers the image acquisition process. The image acquisition device installed at the verification station then captures an image of the product's front, including the nameplate, seal, and QR code. The image acquisition device performs exposure, focusing, and imaging according to preset imaging parameters to ensure that the acquired image meets the clarity requirements for subsequent identification.

[0021] After acquiring a front image of the product, the image is input to an image processor, which then processes the image. Based on a pre-acquired image template, the image processor performs region localization and information extraction processing on the front image, extracting nameplate information, seal information, and QR code information. Specifically, the nameplate information includes at least asset identification characters on the nameplate, the seal information includes at least seal identification characters or a serial number, and the QR code information is asset information data obtained by decoding the QR code area.

[0022] Furthermore, the process involves acquiring a frontal image of the product and driving an image processor to extract image information, including: The image processor includes a first segmentation layer and a second recognition layer. Based on the first segmentation layer, the front image of the product is segmented to determine the nameplate sub-image, seal sub-image, and QR code sub-image, which are then transferred to the second recognition layer to output the nameplate information, seal information, and QR code information.

[0023] The image processor adopts a hierarchical processing structure, including at least a first segmentation layer and a second recognition layer. The first segmentation layer performs image preprocessing and boundary segmentation on the input product front image. Based on pre-defined region location parameters in the image template, it locates and segments different functional areas in the product front image, respectively determining the corresponding nameplate sub-image, seal sub-image, and QR code sub-image.

[0024] After boundary segmentation, the nameplate sub-image, seal sub-image, and QR code sub-image are transferred to the second recognition layer for information recognition processing. The second recognition layer performs corresponding recognition or parsing operations on different types of sub-images, outputting nameplate information, seal information, and QR code information. The nameplate information consists of characters or identification data identified from the nameplate sub-image, the seal information consists of seal identification data identified from the seal sub-image, and the QR code information consists of asset information data obtained by decoding the QR code sub-image, thereby completing the extraction of various packaging information from the front image of the product.

[0025] Furthermore, the information flows to the second identification layer, where it outputs nameplate information, seal information, and QR code information, including: Optical character recognition is performed on the nameplate sub-image to obtain the nameplate information; character recognition is performed on the seal sub-image to obtain the seal information; and the QR code sub-image is decoded to obtain the QR code information.

[0026] For the nameplate sub-image output by the first segmentation layer, the optical character recognition processing flow is invoked to locate and parse the character regions in the nameplate image, extract and generate the corresponding nameplate information, which includes at least the product asset identifier and related text information marked on the nameplate.

[0027] For the seal sub-image output by the first segmentation layer, a character recognition processing flow is executed to parse the seal identifier or seal number in the seal sub-image, extract and generate the corresponding seal information. The seal information includes at least a number or character sequence used to uniquely identify the seal.

[0028] For the QR code sub-image output by the first segmentation layer, a QR code decoding process is executed to locate, correct, and decode the QR code sub-image to obtain the asset information data encoded in the QR code, which is then output as the QR code information.

[0029] Based on the image template and binding relationship, a verification threshold is deployed at the edge of the workstation to perform multi-level verification on the image information and determine the multi-level verification result.

[0030] After acquiring the nameplate information, seal information, and QR code information, based on the pre-established image template and asset binding relationship, a verification threshold is deployed on the edge computing side corresponding to the verification station to perform multi-level verification processing on the image information. The verification threshold is set on the edge side of the station close to the image acquisition device to perform on-site verification of the acquired and identified image information, thereby reducing data backhaul latency and improving verification response speed.

[0031] Multi-level verification includes at least Level 1, Level 2, and Level 3 verification: Level 1 verification, based on the asset binding relationships stored in the MES, performs a matching check between the identified seal information and the corresponding product asset number; Level 2 verification, based on the image template, compares the identified nameplate information with the information fields marked in the template for consistency; Level 3 verification compares the asset information obtained by parsing the QR code information with the asset identifier in the nameplate information for consistency. Each level of verification can be executed in a preset order or in parallel.

[0032] Based on the verification results at each level, a multi-level verification result is determined, and this multi-level verification result is used as the basis for determining whether the product passes the current verification station, for subsequent production line flow control or anomaly handling.

[0033] Furthermore, the verification threshold includes parallel first-level, second-level, and third-level thresholds; wherein, the first-level threshold performs a matching verification between the seal information and the product asset number in the MES, the second-level threshold performs a consistency comparison between the nameplate information and the image template content, and the third-level threshold obtains the asset information by parsing the QR code information and compares it with the asset information in the nameplate information.

[0034] The verification thresholds are configured in parallel, including at least a first-level threshold, a second-level threshold, and a third-level threshold. Each threshold performs verification processing on the image information simultaneously or nearly simultaneously within the same verification cycle to improve overall verification efficiency. Each threshold operates independently and outputs its corresponding verification result. Specifically, the first-level threshold, based on the asset binding relationship established in the MES, performs a matching verification between the identified seal information and the corresponding product asset number to determine if the seal information is consistent with the product asset number recorded in the MES. The second-level threshold, based on the image template, compares the identified nameplate information with the pre-marked information fields in the image template to determine if the nameplate information conforms to the standard layout and field content requirements of the corresponding product type and specifications. The third-level threshold parses the QR code information to obtain the asset information encoded in the QR code and compares the parsed asset information with the asset identifier in the nameplate information to determine if they are consistent. Each threshold generates a pass or fail result, and the results are aggregated to form a multi-level verification result, which serves as the verification conclusion for whether the current product meets the packaging information consistency requirements.

[0035] Furthermore, as the multi-level verification results are generated, a verification data sequence is determined and added to a temporary database, wherein the verification data sequence includes verification failure data and corresponding error types; the image processor is updated according to the temporary database.

[0036] Simultaneously with the generation of multi-level verification results, a corresponding verification data sequence is determined according to preset data organization rules, and the verification data sequence is added and stored in a temporary database. The verification data sequence includes at least data records of failed verification at each level and error types corresponding to the failed data. The error types are used to indicate the reasons for failure and include at least one of the following: mismatched seal information, inconsistent nameplate information, or inconsistent QR code asset information.

[0037] A temporary database is used for centralized storage and management of verification data sequences generated within a certain time range or batch. When the accumulated verification data sequences in the temporary database meet preset update conditions, an update operation is performed on the image processor based on the data stored in the temporary database. The update operation includes adjusting the recognition rules, processing parameters, or region positioning information in the image processor to improve the stability and accuracy of subsequent image information extraction and recognition, thereby forming an adaptive optimization processing procedure based on the verification results.

[0038] Furthermore, after determining the multi-level validation results, this includes: Based on the multi-level verification results, a verification record is generated, which includes the original image, recognition result, comparison feature and timestamp of each verification step; the verification record is associated with the product asset number and stored to generate a verification log; by retrieving the verification log, a quality analysis report and a visualization dashboard are generated to perform product quality traceability.

[0039] After determining the multi-level verification results, corresponding verification records are generated based on these results. These verification records are used to completely record the verification process information of the product at the verification station. The verification records include at least the original image data corresponding to each verification step, the recognition results output by the image processor, the comparison features used for consistency determination, and the corresponding timestamp information. The comparison features are used to characterize the key comparison fields or matching states used in each level of the verification process.

[0040] After generating the verification record, the verification record is associated with the corresponding product asset number and stored to form a traceable verification log. The verification log is used to reflect the complete verification trajectory of a single product in the packaging information verification process and serves as the data foundation for subsequent quality management and problem tracing.

[0041] By retrieving verification logs, statistical analysis is performed on the verification results of the same product or the same batch of products to generate quality analysis reports and visualization dashboards. These reports and dashboards display the pass rate, anomaly distribution, and time trend of different verification types. Based on these quality analysis reports and visualization dashboards, product quality traceability is performed to support the rapid location and cause analysis of abnormal products.

[0042] Based on the multi-level verification results, product production line flow management is carried out.

[0043] When the multi-level verification results show that the product has passed all verification thresholds, a release instruction is sent to the MES, allowing the product to enter the next packaging process or downstream station to continue its flow; when any verification fails in the multi-level verification results, a corresponding interception control instruction is generated to perform operations such as suspending the flow of the product, isolating it, or transferring it to an abnormal handling station, and the reason for the failure is recorded simultaneously.

[0044] During the production line flow management process, the multi-level verification results serve as the direct basis for production line control. Through linkage with MES flow instructions, automated control of product flow status is achieved, thereby preventing products that have not passed verification from entering subsequent processes and ensuring the consistency of packaging information and the orderly operation of the production line.

[0045] Furthermore, if any of the multi-level verification results fails, a product interception prompt is generated; if all the multi-level verification results pass, the next-level packaging process of the product is executed.

[0046] When any verification result in the multi-level verification is failed, the corresponding product is determined to not meet the packaging information consistency requirements, and a product interception prompt is generated. The product interception prompt is used to indicate that the current product has abnormal packaging information. The interception prompt includes at least the product asset number, the failed verification level, and the corresponding error type, and is displayed, recorded, or distributed through MES to guide operators or automated equipment to intercept, isolate, or transfer the product to an anomaly handling process.

[0047] When all multi-level verification results pass, the corresponding product is determined to meet the preset packaging information verification conditions, and a release control command is generated to execute the next-level packaging process flow for the product. The next-level packaging process flow includes transferring the product to the next packaging station or subsequent production process to achieve automated production line flow control based on multi-level verification results.

[0048] In summary, the embodiments of this application have at least the following technical effects: First, the product type and specifications are obtained, and an image template containing the calibration area is created. A binding relationship is established between the product asset number, QR code asset number, and seal asset number in the MES (Manufacturing Execution System). Next, when the product flows to the verification station, a front image of the product is captured, and the image processor is driven to extract image information, including nameplate information, seal information, and QR code information. Then, based on the image template and binding relationship, verification thresholds are deployed at the edge of the station to perform multi-level verification on the image information and determine the multi-level verification results. Finally, based on the multi-level verification results, product production line flow management is performed. This solves the technical problem in existing technologies where the verification of meter and terminal product packaging information relies on manual checking, resulting in low verification accuracy and efficiency. It achieves the technical effect of automatically identifying and multi-level consistent verification of packaging information based on image templates and asset binding relationships, thereby improving the accuracy and efficiency of packaging information verification.

[0049] Example 2, based on the same inventive concept as the automated verification method for meter and terminal packaging information in the foregoing examples, such as... Figure 2As shown, this application provides an automated verification system for meter and terminal packaging information, wherein the system includes: Template creation module 11: Obtains product type and specifications, creates an image template containing a calibration area, and establishes a binding relationship between product asset number, QR code asset number, and seal asset number in MES; Image acquisition module 12: When a product flows to the verification station, it acquires a front image of the product and drives the image processor to extract image information, wherein the image information includes nameplate information, seal information, and QR code information; Multi-level verification module 13: Based on the image template and binding relationship, it deploys verification thresholds at the edge of the station, performs multi-level verification on the image information, and determines the multi-level verification results; Flow management module 14: Based on the multi-level verification results, it manages the product production line flow.

[0050] Furthermore, the flow management module 14 is used to perform the following methods: If any of the multi-level verification results fail, a product interception prompt is generated; if all the multi-level verification results pass, the product's next-level packaging process is executed.

[0051] Furthermore, the template creation module 11 is used to perform the following method: Based on the product type and specifications, determine the standard layout and information fields of the nameplate; obtain the nameplate image of the standard product, and annotate the key information areas according to the standard layout and information fields; associate and store the annotated nameplate image with the product type and specifications to generate the image template.

[0052] Furthermore, the image acquisition module 12 is used to perform the following methods: The image processor includes a first segmentation layer and a second recognition layer. Based on the first segmentation layer, the front image of the product is segmented to determine the nameplate sub-image, seal sub-image, and QR code sub-image, which are then transferred to the second recognition layer to output the nameplate information, seal information, and QR code information.

[0053] Furthermore, the image acquisition module 12 is used to perform the following methods: Optical character recognition is performed on the nameplate sub-image to obtain the nameplate information; character recognition is performed on the seal sub-image to obtain the seal information; and the QR code sub-image is decoded to obtain the QR code information.

[0054] Furthermore, the multi-level verification module 13 is used to perform the following methods: The verification threshold includes parallel first-level, second-level, and third-level thresholds; wherein, the first-level threshold performs a matching verification between the seal information and the product asset number in the MES, the second-level threshold performs a consistency comparison between the nameplate information and the image template, and the third-level threshold obtains the asset information by parsing the QR code information and compares it with the asset information in the nameplate information.

[0055] Furthermore, the multi-level verification module 13 is used to perform the following methods: By calling the MES system interface, the image template and binding relationship can be queried in real time; the system interface and the verification threshold have established information exchange.

[0056] Furthermore, the multi-level verification module 13 is used to perform the following methods: As the multi-level verification results are generated, a verification data sequence is determined and added to a temporary database, wherein the verification data sequence includes verification failure data and corresponding error types; the image processor is updated according to the temporary database.

[0057] Furthermore, the multi-level verification module 13 is used to perform the following methods: Based on the multi-level verification results, a verification record is generated, which includes the original image, recognition result, comparison feature and timestamp of each verification step; the verification record is associated with the product asset number and stored to generate a verification log; by retrieving the verification log, a quality analysis report and a visualization dashboard are generated to perform product quality traceability.

[0058] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. An automated verification method for meter and terminal packaging information, characterized in that, The method includes: Obtain product type and specifications, create an image template containing the calibration area, and establish the binding relationship between product asset number, QR code asset number and seal asset number in MES; When the product is transferred to the verification station, a front image of the product is captured and the image processor is driven to extract image information, which includes nameplate information, seal information and QR code information. Based on the image template and binding relationship, a verification threshold is deployed at the edge of the workstation to perform multi-level verification on the image information and determine the multi-level verification result. Based on the multi-level verification results, product production line flow management is carried out.

2. The automated verification method for meter and terminal packaging information as described in claim 1, characterized in that, If any of the multi-level verification results fail, a product blocking prompt will be generated. If all the multi-level verification results are passed, the next-level packaging process of the product will be executed.

3. The automated verification method for meter and terminal packaging information as described in claim 1, characterized in that, Create an image template containing the calibration region, including: Determine the standard layout and information fields of the nameplate based on the product type and specifications; Obtain the nameplate image of the standard product, and mark the key information areas according to the standard layout and information fields; The labeled nameplate image is associated with the product type and specifications and stored to generate the image template.

4. The automated verification method for meter and terminal packaging information as described in claim 1, characterized in that, Acquire a front image of the product and drive an image processor to extract image information, including: The image processor includes a first segmentation layer and a second recognition layer; Based on the first segmentation layer, the front image of the product is segmented to determine the nameplate sub-image, seal sub-image, and QR code sub-image, which are then transferred to the second recognition layer to output the nameplate information, seal information, and QR code information.

5. The automated verification method for meter and terminal packaging information as described in claim 4, characterized in that, The information is transferred to the second identification layer, where it outputs nameplate information, seal information, and QR code information, including: Optical character recognition is performed on the nameplate sub-image to obtain the nameplate information; Character recognition is performed on the seal sub-image to obtain the seal information; The QR code sub-image is decoded to obtain the QR code information.

6. The automated verification method for meter and terminal packaging information as described in claim 1, characterized in that, The verification threshold includes parallel first-level threshold, second-level threshold and third-level threshold; Specifically, the first-level threshold performs a matching and verification process between the seal information and the product asset number in the MES; the second-level threshold performs a consistency comparison between the nameplate information and the image template content; and the third-level threshold obtains the asset information by parsing the QR code information and compares it with the asset information in the nameplate information.

7. The automated verification method for meter and terminal packaging information as described in claim 1, characterized in that, By calling the MES system interface, the image template and binding relationship can be queried in real time. The system interface and the verification threshold have established information exchange.

8. The automated verification method for meter and terminal packaging information as described in claim 1, characterized in that, As the multi-level verification results are generated, a verification data sequence is determined and added to a temporary database, wherein the verification data sequence includes verification failure data and the corresponding error type; The image processor is updated based on the temporary database.

9. The automated verification method for meter and terminal packaging information as described in claim 1, characterized in that, After determining the multi-level validation results, the following are included: Based on the multi-level verification results, a verification record is generated, wherein the verification record includes the original image, recognition result, comparison features and timestamp of each verification step; The verification records are associated with the product asset number and stored to generate a verification log; By retrieving verification logs, quality analysis reports and visual dashboards are generated, enabling product quality traceability.

10. An automated verification system for meter and terminal packaging information, characterized in that, The system is used to implement the automated verification method for meter and terminal packaging information according to any one of claims 1-9, the system comprising: Template creation module: Obtain product type and specifications, create image templates containing the calibration area, and establish the binding relationship between product asset number, QR code asset number and seal asset number in MES; Image acquisition module: When the product is transferred to the verification station, it acquires an image of the front of the product and drives the image processor to extract image information, including nameplate information, seal information and QR code information; Multi-level verification module: Based on the image template and binding relationship, a verification threshold is deployed at the edge of the workstation to perform multi-level verification on the image information and determine the multi-level verification result; Product flow management module: Based on the multi-level verification results, manage the product flow on the production line.

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