CN117274970A - Product identification recognition detection method and system - Google Patents
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- CN117274970A CN117274970A CN202311455918.0A CN202311455918A CN117274970A CN 117274970 A CN117274970 A CN 117274970A CN 202311455918 A CN202311455918 A CN 202311455918A CN 117274970 A CN117274970 A CN 117274970A
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- 238000001514 detection method Methods 0.000 title claims abstract description 36
- 238000000034 method Methods 0.000 claims abstract description 34
- 230000008520 organization Effects 0.000 abstract description 3
- 239000000835 fiber Substances 0.000 description 8
- 229920000742 Cotton Polymers 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 5
- 238000005406 washing Methods 0.000 description 4
- 230000001105 regulatory effect Effects 0.000 description 3
- 229920002334 Spandex Polymers 0.000 description 2
- 238000002372 labelling Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000012015 optical character recognition Methods 0.000 description 2
- 239000004759 spandex Substances 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004061 bleaching Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005108 dry cleaning Methods 0.000 description 1
- 238000009432 framing Methods 0.000 description 1
- 239000010985 leather Substances 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/63—Scene text, e.g. street names
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/103—Formatting, i.e. changing of presentation of documents
- G06F40/109—Font handling; Temporal or kinetic typography
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/186—Templates
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/205—Parsing
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Abstract
The invention discloses a method and a system for identifying and detecting product identifiers, wherein the method comprises the following steps: s1: generating a standard mark according to the product information; s2: acquiring an identification picture to be identified, which is uploaded by a user; s3: analyzing and identifying the identification picture to be identified to obtain analysis content; s4: and comparing and detecting the analysis content by using the standard mark to obtain a detection result corresponding to the mark picture to be identified. The invention can realize that the consumers can conveniently, completely and correctly know the quality condition of the products, the product information of manufacturers and the like by only uploading the identification picture to be identified, avoid misunderstanding of the products caused by incorrect identification information in the identification picture to be identified, and early warn the consumers; the manufacturer can conveniently and correctly generate the standard mark, so that market disputes and spot check penalties caused by incorrect marks are avoided; the supervision organization can conveniently know whether incorrect identifiers exist on the identification pictures to be identified, and intelligent supervision is achieved.
Description
Technical Field
The invention relates to the technical field of identification detection, in particular to a method and a system for identifying and detecting a product identification.
Background
Identification (product identification) is a marking and indication on the product packaging that is used to distinguish and identify product information, which has an important role for consumers, manufacturers of products, regulatory authorities, etc. The identification mark aims to enable consumers to accurately and rapidly know relevant information and using methods of products, and is beneficial to enterprises to manage the products and control the quality.
The content of the identification mark should be true, accurate, clear and easy to understand. When labeling an identification, the relevant legal and standard requirements should be followed to ensure the legitimacy and standardization of the identification content. However, with the development of diversification of products in recent years, labeling of product identifiers is not standard and incorrect, so that consumers may not completely and correctly understand information on technical specifications, performances, purposes, quality, manufacturers and the like of the products, and misunderstanding of real information of the products by the consumers may even cause security problems.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a method and a system for identifying and detecting product identifiers, which can solve the technical problems.
(II) technical scheme
In order to solve the technical problems, the invention provides the following technical scheme: a method for identifying and detecting product identifiers comprises the following steps:
s1: generating a standard mark according to the product information;
s2: acquiring an identification picture to be identified, which is uploaded by a user;
s3: analyzing and identifying the identification picture to be identified to obtain analysis content;
s4: and comparing and detecting the analysis content by using the standard mark to obtain a detection result corresponding to the mark picture to be identified.
Preferably, the step S1 specifically includes the following substeps:
s11: selecting an identification template corresponding to the product;
s12: inputting the product information into an identification template;
s13: judging whether the identification template is completely recorded, and if so, generating a standard identification.
Preferably, the product information includes information corresponding to a plurality of product elements.
Preferably, in step S2, the identification picture to be identified is uploaded by a photographing mode or a local picture uploading mode is selected.
Preferably, the step S3 specifically includes the following substeps:
s31: selecting a range to be identified on the identification picture to be identified in a frame mode;
s32: identifying and extracting text contents in a range needing to be identified;
s33: searching and positioning each product element in the text content, and further classifying the text content between the positioned current product element and the positioned next product element into information corresponding to the current product element;
s34: typesetting the information corresponding to each product element according to the typesetting mode of the identification picture to be identified, so as to obtain the analysis content.
Preferably, after sub-step S34, further comprises: and presenting the analysis content to a user so that the user can judge whether the analysis content is consistent with the identification picture to be identified or not, and if the analysis content is inconsistent with the identification picture to be identified, modifying the analysis content correspondingly.
Preferably, step S4 specifically comprises the following sub-steps:
s41: comparing the information corresponding to each product element in the analysis content with the information corresponding to each product element in the standard mark one by one to judge whether the information is the same as the information;
s42: and correspondingly marking the product elements with the same judging results in the analysis content as correct, and correspondingly marking the product elements with different judging results in the analysis content as incorrect so as to obtain a detection result corresponding to the identification picture to be identified.
Preferably, in the substep S42, for the product elements with different judging results, the detecting result also displays the corresponding information of the product elements in the identifier of the specification correspondingly.
Preferably, step S4 further comprises a substep S43: judging whether the analysis content comprises all the product elements in the standard mark, if not, the detection result also comprises the missing product elements in the analysis content.
In order to solve the technical problems, the invention provides another technical scheme as follows: an identification detection system for product identification, comprising: the mark making module is used for generating a standard mark according to the product information; the picture receiving module is used for acquiring the identification picture to be identified uploaded by the user; the picture analysis module is used for analyzing and identifying the identification picture to be identified to obtain analysis content; and the intelligent detection module is used for comparing and detecting the analysis content by using the standard identification to obtain a detection result corresponding to the identification picture to be identified.
(III) beneficial effects
Compared with the prior art, the invention provides a method and a system for identifying and detecting product identifiers, which have the following beneficial effects: generating a standard mark according to the product information, wherein the product information on the standard mark is correct and complete product information, in addition, analyzing and identifying the mark picture to be identified to obtain analysis content, and further comparing and detecting the analysis content by utilizing the standard mark to obtain a detection result of the mark picture, wherein the detection result is for consumers: the invention can realize that the consumers can conveniently, completely and correctly know the quality condition of the products, the product information of manufacturers and the like by only uploading the identification picture to be identified, avoid misunderstanding of the products caused by incorrect identification information in the identification picture to be identified, and early warn the consumers; for the manufacturer: the invention enables the producer to conveniently and correctly generate the standard mark, and avoids market disputes, spot check penalties and the like caused by incorrect marks; for regulatory authorities: the invention enables the supervision organization to conveniently know whether incorrect identifiers exist on the identification pictures to be identified, thereby better realizing supervision on manufacturers and realizing intelligent supervision.
Drawings
FIG. 1 is a flow chart showing the steps of a method for identifying and detecting product identifiers according to the present invention;
FIG. 2 is a schematic block diagram of a product identification detection system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides a method for identifying and detecting product identifiers, which comprises the following steps:
s1: and generating the identification of the specification according to the product information. It should be understood that the product information on the identity of the specification is the correct and complete product information. Specifically, the product information includes information corresponding to a plurality of product elements, that is, one product information corresponds to a plurality of product elements, and the product elements corresponding to different product information may be the same or different; for example, when the product information is clothing information, it may correspond to seven product elements of a product name, a product standard, a size, a fiber component, a wash symbol (method), a security category, a manufacturer, etc.; when the product information is other product information, it may correspond to other product elements different from the above-described clothing information, without being excessively limited herein.
Preferably, the step S1 specifically includes the following substeps:
s11: and selecting an identification template corresponding to the product.
It should be appreciated that different types of products correspond to different identification templates, and may specifically include different identification templates for clothing, bedding, shoes, luggage/leather, masks, and the like.
S12: product information is input into the identification template.
Taking clothing as an example: the user (manufacturer) selects an identification template corresponding to the garment, the product information corresponds to the identification template comprising seven product elements corresponding to the product name, the product standard, the size, the fiber components, the washing symbol (method), the security category, the manufacturer and the like, and the user respectively inputs the information corresponding to each product element into the positions of each product element in the identification template: for example, the 'male round collar and long sleeve' in the product information is correspondingly recorded in the 'product name' of the identification template, the '0105370' in the product information is correspondingly recorded in the 'size' of the identification template, the 'non-dry-cleaning and non-bleaching' in the product information is correspondingly recorded in the 'washing symbol (method)' of the identification template, and the like.
S13: judging whether the identification template is completely recorded, and if so, generating a standard identification. If the fact that a plurality of product elements exist in the identification template and the corresponding information is not recorded is judged, the user is correspondingly prompted to record the information completely, and therefore the integrity of the product information of the generated standard identification is guaranteed. In addition, before the identification of the generated specification, the product information input by the user can be displayed to the user and confirmed, so that the correctness of the identification of the generated specification can be ensured. In addition, after the identification of the specification is generated, information modification can be performed on a plurality of product elements in the identification of the specification so as to update the identification of the specification in real time.
Furthermore, before step S1, the method may further include: and displaying the input description of the product information and the identification example of the specification, so that the user can input the product information better.
S2: and acquiring the identification picture to be identified, which is uploaded by the user.
In step S2, specifically, uploading the identification picture to be identified by a photographing mode or selecting a local picture uploading mode; in addition, a plurality of identification pictures can be selected to be uploaded at a time.
S3: and analyzing and identifying the identification picture to be identified to obtain analysis content.
Preferably, the step S3 specifically includes the following substeps:
s31: and framing a range to be identified on the identification picture to be identified.
S32: and identifying and extracting the text content in the range needing to be identified. The character content can be extracted by converting the identification picture to be identified into an editable computer text format by utilizing OCR (Optical Character Recognition ).
S33: and searching and positioning each product element in the text content, and further classifying the text content between the positioned current product element and the positioned next product element into information corresponding to the current product element. For example: identifying the text content extracted to the 2 nd row on the identification picture to be identified as fiber components: 100% cotton ", the text content of line 3 is" wash symbol (method): non-dry cleanable, non-bleachable ", the current product element located is the" fiber component ", the next product element located is the" wash symbol (method) ", and the text content" 100% cotton "(reject": ") between the" fiber component "and the" wash symbol (method) "is further categorized into the information corresponding to the" fiber component "of the current product element.
S34: typesetting the information corresponding to each product element according to the typesetting mode of the identification picture to be identified, so as to obtain the analysis content.
Furthermore, after sub-step S34, it may further comprise: and presenting the analysis content to a user so that the user can judge whether the analysis content is consistent with the identification picture to be identified, and if not, correspondingly modifying the analysis content to ensure the accuracy of the analysis content.
S4: and comparing and detecting the analysis content by using the standard mark to obtain a detection result corresponding to the mark picture to be identified.
Preferably, step S4 specifically comprises the following sub-steps:
s41: and (2) comparing the information corresponding to each product element in the analysis content with the information corresponding to each product element in the standard mark generated in the step (S1) one by one so as to judge whether the information is the same as the information.
S42: and correspondingly marking the product elements with the same judging results in the analysis content as correct, and correspondingly marking the product elements with different judging results in the analysis content as incorrect so as to obtain a detection result corresponding to the identification picture to be identified.
In the substep S42, for the product elements with different judging results, the detecting result also displays the corresponding information of the product elements in the standard mark correspondingly.
For example: the analysis content comprises the following components: male round collar long sleeve "," clarion: 0105370"," fiber composition: 100% cotton "and" wash symbol (method): non-dry cleanable, non-bleachable ", and the specification includes the designation" product name: male round collar long sleeve "," clarion: 0105370"," fiber composition: 98% cotton, 2% spandex "," wash symbol (method): non-dry cleanable, non-bleachable "," product standard: FZ/T81007-2012 "," security category: class B "and" manufacturer: XX clothing limited ", by one-to-one comparison of the above substeps S41: the judging result of the information corresponding to the three product elements in the analysis content is the same as the judging result of the information corresponding to the three product elements in the standard mark, the information corresponding to the three product elements in the analysis content is different from the judging result of the information corresponding to the product elements in the standard mark, the three product elements in the analysis content are marked as correct in the substep S41, the information corresponding to the three product elements in the analysis content are marked as incorrect in the analysis content, and the information corresponding to the three product elements in the standard mark is displayed in the detection result: "98% cotton, 2% spandex", i.e., exhibits the correct product information.
In addition, before the above substep S41, it may further include: the identification of the specification corresponding to the analysis content is searched, and specifically, whether the identification of the specification has information corresponding to a plurality of identical product elements or not can be judged by searching, for example, if the information corresponding to the product name and the information corresponding to the number of the analysis content and the identification of the specification are identical, the identification of the specification is judged to correspond to the analysis content, and the analysis content can be further compared and detected by utilizing the identification of the specification.
In addition, step S4 further includes sub-step S43: judging whether the analysis content comprises all the product elements in the standard mark, if not, the detection result also comprises the missing product elements in the analysis content and the corresponding information, so that the user can completely and correctly know the product information. Continuing with the above example for illustration: judging that the analysis content does not comprise three product elements of product standard, security category and manufacturer in the standard mark, and the detection result also comprises missing product information in the analysis content: "product standard: FZ/T81007-2012 "," security category: class B "and" manufacturer: XX clothing Co Ltd.
In addition, one product can correspond to a plurality of different types of marks, and product information among the different types of marks can be partially identical; for example, for a garment, different types of marks such as "hanging tag" and "wash label" may be corresponding, and the "hanging tag" may include more product elements than "wash label", in the step S2, the user may select to upload the "hanging tag" and/or "wash label" as the mark picture to be identified, so as to further detect the "hanging tag" and/or "wash label" by using the standard mark, so that the user can completely and correctly know the product information only through a certain type of mark of the product. In addition, when the 'hanging tag' and the 'washing label' are uploaded simultaneously for detection, the detection results corresponding to the 'hanging tag' and the 'washing label' can be displayed, and further, the two detection results can be compared and classified to judge and obtain the information corresponding to the same product elements.
The invention also provides a system for identifying and detecting the product identifier, which can be applied to a mobile phone end and a computer end and comprises the following steps:
the mark making module 11 is used for generating a standard mark according to the product information;
the picture receiving module 12 is used for acquiring an identification picture to be identified, which is uploaded by a user;
the picture analysis module 13 is used for analyzing and identifying the identification picture to be identified to obtain analysis content;
the intelligent detection module 14 is configured to compare and detect the parsed content by using the canonical identifier, so as to obtain a detection result corresponding to the identifier picture to be identified.
Specifically, the identification detection system of the product identifier can be developed based on web software, the running use environment of the software is a mobile phone end and a computer end, the identification detection system of the product identifier is realized by adopting development modules with separated front and rear ends, the front end and the rear end can be independently developed and tested, the mutual dependence and waiting time are reduced, and the development efficiency is improved; the system has more definite responsibility and division of work, and can better exert the respective professional ability; the technology stack suitable for the user can be selected for development, which is beneficial to the updating and upgrading of the technology; the user requirements can be better met and the user experience can be improved.
Preferably, the front end of the identification detection system of the product identifier can use a vue progressive framework, which is a lightweight framework, can quickly create single-page applications and complex web applications, uses responsive data binding, automatically updates views when data transmission changes, has high efficiency and concise template grammar, is easy to operate and use, and quickly constructs complex page layout. In addition, other development frameworks such as Angular, react, bootstrap and the like can be adopted for the front end, and the front end is not limited in any way.
The back end of the product identification detection system can automatically configure most of commonly used configurations such as data sources, message queues and the like by using a spring boot open source framework, so that the configuration process is simplified, a tomcat or jetty service is embedded, and a war file is not required to be deployed to an external server, so that the development can be rapidly carried out. In addition, other types of back-end development frameworks may also be employed, such as: thinkPHP, laravel, yii, symfrony, cakePHP, node. Js, dijango, flask, etc., without undue limitation herein.
In addition, the identification of the specification can be stored in a database; preferably, the database uses mysql, which has strong performance and extensibility, and can handle large amounts of data and concurrent access.
Compared with the prior art, the invention provides a method and a system for identifying and detecting product identifiers, which have the following beneficial effects: generating a standard mark according to the product information, wherein the product information on the standard mark is correct and complete product information, in addition, analyzing and identifying the mark picture to be identified to obtain analysis content, and further comparing and detecting the analysis content by utilizing the standard mark to obtain a detection result of the mark picture, wherein the detection result is for consumers: the invention can realize that the consumers can conveniently, completely and correctly know the quality condition of the products, the product information of manufacturers and the like by only uploading the identification picture to be identified, avoid misunderstanding of the products caused by incorrect identification information in the identification picture to be identified, and early warn the consumers; for the manufacturer: the invention enables the producer to conveniently and correctly generate the standard mark, and avoids market disputes, spot check penalties and the like caused by incorrect marks; for regulatory authorities: the invention ensures that the supervision organization can conveniently know whether incorrect identifiers exist on the identification pictures to be identified, thereby better realizing supervision on manufacturers, realizing intelligent supervision, and efficiently guiding the manufacturers to correctly identify labels so as to provide higher-quality service for enterprises.
It should be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The identification and detection method for the product identifier is characterized by comprising the following steps of:
s1: generating a standard mark according to the product information;
s2: acquiring an identification picture to be identified, which is uploaded by a user;
s3: analyzing and identifying the identification picture to be identified to obtain analysis content;
s4: and comparing and detecting the analysis content by using the standard mark to obtain a detection result corresponding to the mark picture to be identified.
2. The method for identifying and detecting product identifiers according to claim 1, wherein: the step S1 specifically comprises the following substeps:
s11: selecting an identification template corresponding to the product;
s12: inputting the product information into the identification template;
s13: and judging whether the identification template is completely recorded, and if so, generating the standard identification.
3. The method for identifying and detecting product identifiers according to claim 2, wherein: the product information comprises information corresponding to a plurality of product elements.
4. A method of identifying and detecting a product identifier according to claim 3, wherein: in step S2, the identification picture to be identified is uploaded by a photographing mode or a local picture uploading mode.
5. A method of identifying and detecting a product identifier according to claim 3, wherein: the step S3 specifically comprises the following substeps:
s31: selecting a range to be identified on the identification picture to be identified in a frame mode;
s32: identifying and extracting text contents in the range needing to be identified;
s33: searching and positioning each product element in the text content, and further classifying the text content between the positioned current product element and the positioned next product element into information corresponding to the current product element;
s34: typesetting information corresponding to each product element according to the typesetting mode of the identification picture to be identified, so as to obtain the analysis content.
6. The method for identifying and detecting product identifiers according to claim 5, wherein: after the substep S34, further includes: and presenting the analysis content to a user so that the user can judge whether the analysis content is consistent with the identification picture to be identified or not, and if not, correspondingly modifying the analysis content.
7. The method for identifying and detecting product identifiers according to claim 6, wherein: the step S4 specifically includes the following substeps:
s41: comparing the information corresponding to each product element in the analysis content with the information corresponding to each product element in the standard mark one by one to judge whether the information is the same as the information;
s42: and correspondingly marking the product elements with the same judging results in the analysis content as correct, and correspondingly marking the product elements with different judging results in the analysis content as incorrect so as to obtain the detection results corresponding to the identification pictures to be identified.
8. The method for identifying and detecting product identifiers according to claim 7, wherein: in the substep S42, for product elements with different judging results, the detecting result further displays corresponding information of the product elements in the standard identifier.
9. The method for identifying and detecting product identifiers according to claim 7, wherein: the step S4 further includes a substep S43: and judging whether the analysis content comprises all the product elements in the standard mark, and if the judgment result is negative, the detection result also comprises the missing product elements in the analysis content.
10. An identification detection system for product identification, comprising:
the mark making module is used for generating a standard mark according to the product information;
the picture receiving module is used for acquiring the identification picture to be identified uploaded by the user;
the picture analysis module is used for analyzing and identifying the identification picture to be identified to obtain analysis content;
and the intelligent detection module is used for comparing and detecting the analysis content by utilizing the standard mark to obtain a detection result corresponding to the mark picture to be identified.
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| CN202311455918.0A CN117274970A (en) | 2023-11-02 | 2023-11-02 | Product identification recognition detection method and system |
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| CN202311455918.0A CN117274970A (en) | 2023-11-02 | 2023-11-02 | Product identification recognition detection method and system |
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| CN117274970A true CN117274970A (en) | 2023-12-22 |
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| CN202311455918.0A Pending CN117274970A (en) | 2023-11-02 | 2023-11-02 | Product identification recognition detection method and system |
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