CN111626215A - Method and device for identifying article in and out of warehouse - Google Patents
Method and device for identifying article in and out of warehouse Download PDFInfo
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- CN111626215A CN111626215A CN202010464826.9A CN202010464826A CN111626215A CN 111626215 A CN111626215 A CN 111626215A CN 202010464826 A CN202010464826 A CN 202010464826A CN 111626215 A CN111626215 A CN 111626215A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
Abstract
The embodiment of the application provides a method and a device for identifying the warehousing and ex-warehouse of articles, which relate to the technical field of data processing, and the method comprises the following steps: acquiring quality information and size information of an article and image-text information carried on the surface of the article; identifying the image-text information according to a pre-constructed character identification model to obtain identification data; judging whether the quality information, the size information and the identification data are matched with preset goods pre-stored information of entering and exiting the warehouse; and if the matching is carried out, the goods are put in and out of the warehouse. Therefore, by implementing the implementation mode, the articles entering and exiting the warehouse can be quickly and accurately identified, the processing efficiency is high, and the article entering and exiting efficiency is further improved.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a method and a device for identifying whether an article is in or out of a warehouse.
Background
When managing warehousing and delivery of a large number of commodities stored in a library or the like, inventory management, and the like, a barcode reader is used to read a barcode attached to a commodity to perform inventory management, and the like. However, in practice, it is found that the existing method for identifying the article entering or exiting the warehouse requires manual inventory-taking operation through a bar code reader, compares the contents of the list with the stored articles, and confirms the articles one by one, and on the other hand, different article brands may have different bar codes, which increases the identification difficulty. Therefore, the existing article in-out-of-warehouse identification method is low in identification efficiency and identification accuracy.
Disclosure of Invention
An object of the embodiments of the present application is to provide an article warehousing and ex-warehousing identification method and apparatus, which can quickly and accurately identify articles warehousing and ex-warehousing, and have high processing efficiency, thereby being beneficial to improving the warehousing and ex-warehousing efficiency of the articles.
In a first aspect, an article warehousing and warehousing identification method is provided, where the method includes:
acquiring quality information and size information of an article and image-text information carried on the surface of the article;
identifying the image-text information according to a pre-constructed character identification model to obtain identification data;
judging whether the quality information, the size information and the identification data are matched with preset in-out article pre-stored information;
and if the matching is carried out, carrying out warehouse entry and exit operation on the articles.
In the implementation process, the method can preferentially acquire the quality information and the size information of the article and the image-text information carried on the surface of the article; then, identifying the image-text information according to a pre-constructed character identification model to obtain identification data; after the identification data are obtained, judging whether the quality information, the size information and the identification data are matched with preset goods pre-stored information of the warehouse; and if the quality information, the size information and the identification data are matched with preset goods pre-stored information for entering and exiting the warehouse, carrying out the operation of entering and exiting the warehouse on the goods. Therefore, by implementing the implementation mode, the corresponding identification can be carried out according to the quality information and the size information of the article and the image-text information carried on the surface of the article to obtain the corresponding article information, so that the article information can be identified as the information of the article to obtain the detailed information of the article, further, the article entering and exiting the warehouse can be identified quickly and accurately, and the processing efficiency of the article entering and exiting the warehouse is improved.
Further, the image-text information comprises one or more of article coding information, article production date information, article shelf life information and article batch number information.
In the implementation process, the image-text information comprises one or more of article coding information, article production date information, article shelf life information and article batch number information. Therefore, by implementing the implementation mode, one or more of corresponding article coding information, article production date information, article shelf life information and article batch number information can be acquired on the surface of an article, so that the information listed on the surface of the article can be regarded as image-text information, the completeness of the information type carried by the article is ensured, meanwhile, the article coding information can be used for identifying the subordinate type of the article, the article production date information can be used for confirming the production batch of the article, the article shelf life information can be used for confirming the current state information of the article, and the article batch number information can accurately determine what the specific batch number of the article is, so that the article warehousing and ex-warehousing identification process can have more specific information, and the accuracy of the article warehousing and ex-warehousing identification is improved.
Further, the determining whether the quality information, the size information, and the identification data match preset in-out article pre-stored information includes:
judging whether the identification data conforms to a preset data format or not;
if the data format accords with the preset data format, judging whether the quality information, the size information and the identification data are matched with preset in-out warehouse article pre-stored information;
and if the information is matched with the pre-stored information of the articles entering and exiting the warehouse, executing the operation of entering and exiting the warehouse for the articles.
In the implementation process, in the process of judging whether the quality information, the size information and the identification data are matched with the preset in-out warehouse article pre-stored information, the method can preferentially judge whether the identification data conform to a preset data format; when the identification data accord with a preset data format, judging whether the quality information, the size information and the identification data are matched with preset in-out warehouse article pre-stored information; and if the quality information, the size information and the identification data are matched with preset goods pre-stored information for entering and exiting the warehouse, triggering the step of executing the operation of entering and exiting the warehouse to the goods. Therefore, the implementation of the implementation mode can filter the identification data which do not conform to the preset data format in advance according to the preset data format, so that the influence on the efficiency of the identification of the articles in and out of the warehouse due to an unnecessary execution process is avoided, in addition, when the identification data conform to the preset data format, the matching judgment of the articles is further carried out according to the quality information, the size information and the identification data, the accuracy of the identification and matching of the articles is ensured, the operation of the articles in and out of the warehouse is ensured to be accurately carried out, and the accuracy of the articles in and out of the warehouse is ensured.
Further, after the warehousing operation on the articles, the method further comprises:
performing mutual checking processing on the quality information, the size information and the identification data, and judging whether the quality information, the size information and the identification data have integrity;
if not, performing information integrity integration processing on the quality information, the size information and the identification data to obtain complete article information, wherein the complete article information comprises the processed quality information, the processed size information and the processed identification data;
and storing the complete article information.
In the implementation process, after the goods are put in and out of the warehouse, the method can also carry out mutual checking processing on the quality information, the size information and the identification data to judge whether the quality information, the size information and the identification data have integrity; if the quality information, the size information and the identification data do not have integrity, performing information integrity integration processing on the quality information, the size information and the identification data to obtain complete article information, wherein the complete article information comprises the processed quality information, the processed size information and the processed identification data; and finally, storing the complete article information. Therefore, by implementing the implementation mode, after the identification, the input and the output of the article are completed, the article can be detected again to judge whether the article information has corresponding integrity, so that the article input and output information is complete, and the information storage precision of the article input and output is further ensured.
Further, before the obtaining of the quality information and the size information of the article and the image-text information carried on the surface of the article, the method further includes:
constructing an initial recognition model;
acquiring picture data used for training the initial recognition model and goods pre-stored information of an in-out warehouse, wherein the training data comprises one or more of goods coding picture data, goods production date picture data, goods shelf life picture data and goods batch number picture data;
labeling the picture data to obtain training data;
training the initial recognition model through the training data to obtain an initial character recognition model;
and checking the initial character recognition model through the pre-stored information of the articles entering and exiting the warehouse to obtain a character recognition model.
In the implementation process, an initial identification model is preferentially constructed before the quality information and the size information of the article and the image-text information carried on the surface of the article are acquired; then acquiring picture data used for training an initial recognition model and goods pre-stored information in and out of a warehouse, wherein the training data comprises one or more of goods coding picture data, goods production date picture data, goods shelf life picture data and goods batch number picture data; then, labeling the picture data to obtain training data; training the initial recognition model through training data to obtain an initial character recognition model; and finally, checking the initial character recognition model through the pre-stored information of the articles entering and exiting the warehouse to obtain the character recognition model. Therefore, by implementing the implementation mode, artificial intelligence model training based on big data can be carried out according to the initial recognition model, and an accurate and effective character recognition model is obtained, so that the recognition accuracy of the articles in and out of a warehouse is higher, and the effect is better.
A second aspect of embodiments of the present application provides an apparatus, including: an article warehousing/warehousing identification device characterized by comprising:
the system comprises an acquisition unit, a display unit and a control unit, wherein the acquisition unit is used for acquiring quality information and size information of an article and image-text information carried on the surface of the article;
the recognition unit is used for recognizing the image-text information according to a pre-constructed character recognition model to obtain recognition data;
the judging unit is used for judging whether the quality information, the size information and the identification data are matched with preset goods pre-stored information of the warehouse;
and the warehousing-in and warehousing-out operation unit is used for performing warehousing-in and warehousing-out operation on the articles if the articles are matched.
In the implementation process, the article warehousing and ex-warehouse identification device comprises an acquisition unit which can be used for acquiring the quality information and the size information of the article and the image-text information carried on the surface of the article; the article warehousing and ex-warehouse identification device comprises an identification unit, a database and a database, wherein the identification unit is used for identifying image-text information according to a pre-constructed character identification model to obtain identification data; the article warehousing and ex-warehouse identification device comprises a judgment unit, a storage unit and a storage unit, wherein the judgment unit is used for judging whether the quality information, the size information and the identification data are matched with preset warehousing and ex-warehouse article pre-stored information; the article warehousing and ex-warehouse identification device comprises a warehousing and ex-warehouse operation unit used for performing warehousing and ex-warehouse operation on the articles if the articles are matched with the articles. By implementing the implementation mode, the article warehousing and ex-warehousing identification device can correspondingly identify according to the quality information and the size information of the articles and the image-text information carried on the surfaces of the articles through the acquisition unit, the identification unit, the judgment unit and the warehousing and ex-warehousing operation unit to obtain corresponding article information, so that the article information can be identified as the information of the articles, the detailed information of the articles is obtained, the articles warehousing and ex-warehousing can be quickly and accurately identified, and the processing efficiency of warehousing and ex-warehousing of the articles is improved.
Further, the judging unit includes:
the first subunit is used for judging whether the identification data conforms to a preset data format or not;
the second subunit is used for judging whether the quality information, the size information and the identification data are matched with preset warehouse-in and warehouse-out article pre-storage information or not when the identification data are judged to accord with the preset data format;
and the third subunit is used for triggering the warehousing and ex-warehouse operation unit to carry out warehousing and ex-warehouse operation on the articles when the quality information, the size information and the identification data are judged to be matched with the warehousing and ex-warehouse article pre-stored information.
In the implementation process, the first sub-unit included in the determining unit may be configured to determine whether the identification data conforms to a preset data format; the second subunit included in the judging unit can be used for judging whether the quality information, the size information and the identification data are matched with preset warehouse-in and warehouse-out article pre-stored information when the identification data are judged to be in accordance with the preset data format; the third sub-unit included in the judging unit can be used for triggering the in-out operation unit to carry out in-out operation on the articles when the quality information, the size information and the identification data are judged to be matched with the in-out article pre-stored information. Therefore, the implementation of the implementation mode can filter the identification data which do not conform to the preset data format in advance according to the preset data format, so that the influence on the efficiency of the identification of the articles in and out of the warehouse due to an unnecessary execution process is avoided, in addition, when the identification data conform to the preset data format, the matching judgment of the articles is further carried out according to the quality information, the size information and the identification data, the accuracy of the identification and matching of the articles is ensured, the operation of the articles in and out of the warehouse is ensured to be accurately carried out, and the accuracy of the articles in and out of the warehouse is ensured.
Further, the article warehousing and delivery identification device further comprises:
an integrity judgment unit, configured to perform mutual checking processing on the quality information, the size information, and the identification data after the warehousing and ex-warehousing operation of the article is performed, and judge whether the quality information, the size information, and the identification data have integrity;
the integration unit is used for performing information integrity integration processing on the quality information, the size information and the identification data to obtain complete article information when the quality information, the size information and the identification data are judged not to have integrity, wherein the complete article information comprises the processed quality information, the processed size information and the processed identification data;
and the storage unit is used for storing the complete article information.
In the implementation process, the integrity judgment unit included in the article warehousing and ex-warehousing identification device may be configured to perform mutual checking processing on the quality information, the size information, and the identification data after the warehousing and ex-warehousing operation is performed on the article, and judge whether the quality information, the size information, and the identification data have integrity; the integration unit included in the article warehousing and ex-warehousing identification device can be used for performing information integrity integration processing on the quality information, the size information and the identification data to obtain complete article information when the quality information, the size information and the identification data are judged not to have integrity, wherein the complete article information comprises the processed quality information, the processed size information and the processed identification data; the article warehousing and delivery identification device comprises a storage unit which can be used for storing the complete article information. Therefore, by implementing the implementation mode, after the identification, the input and the output of the article are completed, the article can be detected again to judge whether the article information has corresponding integrity, so that the article input and output information is complete, and the information storage precision of the article input and output is further ensured.
A third aspect of the embodiments of the present application provides an electronic device, including a memory and a processor, where the memory is used to store a computer program, and the processor runs the computer program to make the electronic device execute the method for identifying an item in or out of a warehouse according to any one of the first aspect of the embodiments of the present application.
A fourth aspect of the embodiments of the present application provides a computer-readable storage medium, which stores computer program instructions, and when the computer program instructions are read and executed by a processor, the method for identifying entry and exit of an item in or out of a warehouse is performed according to any one of the first aspect of the embodiments of the present application.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic flow chart illustrating an article warehousing and delivery identification method according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of another method for identifying whether an item is in or out of a warehouse according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an article warehousing and ex-warehousing identification device according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of another article warehousing and ex-warehousing identification device provided in the embodiment of the present application;
fig. 5 is a schematic flowchart illustrating an example of an article warehousing and delivery identification method according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Example 1
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating an article warehousing and ex-warehouse identification method according to an embodiment of the present application. The method for identifying the goods in and out of the warehouse can identify the codes of the raw material outer box and inner bag products, the product names, the production date/quality guarantee period, the batch numbers and the like of the warehouse through a machine learning training specific OCR (character recognition) algorithm model, and meanwhile, the specific raw materials are determined through a specific device by combining indexes such as specifications, weight and the like, so that the management of the goods in and out of the freezer is realized, and the products, the expiration date and the like are recorded. The method for identifying the entry and exit of the article comprises the following steps:
s101, acquiring quality information and size information of the article and image-text information carried on the surface of the article.
In this embodiment, before step S101, the relevant staff or machine may place the article to be identified on the corresponding workbench, so that when the entry and exit records are performed, the article to be identified may be identified (where the article is a box when entering the warehouse, and the article is an inner bag when exiting the warehouse).
In this embodiment, the mass information is the mass of the article, wherein the acquisition of the mass information may be performed by a preset weighing device.
In this embodiment, the graphic information carried on the surface of the article may include one or more of article coding information, article production date information, article shelf life information and article batch number information.
In this embodiment, the image-text information can be obtained by a device or equipment through scanning the raw material surface information (product code, production date, quality guarantee period, batch number) by a PDA (personal digital assistant).
In this embodiment, the principle of obtaining the size information is an imaging principle, wherein, according to the rules of the focal length and the imaging, corresponding scales are generated on a screen displaying a picture taken by a camera, so as to form a "ruler", and a user can know similar data such as the length, the width and the like of an object to be measured by comparing the object to be measured in the screen with the scales without searching for the ruler for actual measurement, thereby realizing the obtaining of the size information after the picture is obtained.
And S102, identifying the image-text information according to a pre-constructed character identification model to obtain identification data.
In this embodiment, the character recognition model is an OCR model; the OCR model may identify the teletext information.
S103, judging whether the quality information, the size information and the identification data are matched with preset warehouse-in and warehouse-out article pre-stored information, if so, executing a step S104; if not, the flow is ended.
In this embodiment, after the OCR model obtains information such as a product code, a production date, a shelf life, a lot number, a size, and a weight, the OCR model may determine whether the OCR model matches a preset record.
And S104, carrying out warehouse entry and exit operation on the articles.
In the embodiment, the method can judge the SKU by combining various information through a training model, wherein the training OCR algorithm model can judge the type of the outer box SKU according to the product information characters, the weight and the size; meanwhile, an OCR algorithm model can be trained to judge the type of the inner bag SKU according to the product information characters, the overall characteristics, the weight and the size.
In this embodiment, the method may be executed by a PDA handheld terminal and an inventory management system, so as to implement information prompt for warehousing and achieve an auxiliary effect on manual operation.
In this embodiment, an execution subject of the article warehousing and ex-warehousing identification method may be a computing device such as a computer and a server, and this embodiment is not limited at all.
In this embodiment, the executing body of the article warehousing and ex-warehousing identification method may also be an OCR model or an executing system with an OCR model, which is not limited in this embodiment.
In this embodiment, the execution subject of the method for identifying the article entering and exiting from the warehouse may also be an intelligent device such as a smart phone and a tablet, and this embodiment is not limited at all.
Therefore, by implementing the method for identifying the article entering or exiting the warehouse depicted in fig. 1, the quality information and the size information of the article and the image-text information carried on the surface of the article can be preferentially acquired; then, identifying the image-text information according to a pre-constructed character identification model to obtain identification data; after the identification data are obtained, judging whether the quality information, the size information and the identification data are matched with preset goods pre-stored information of the warehouse; and if the quality information, the size information and the identification data are matched with preset goods pre-stored information for entering and exiting the warehouse, carrying out the operation of entering and exiting the warehouse on the goods. Therefore, by implementing the implementation mode, the corresponding identification can be carried out according to the quality information and the size information of the article and the image-text information carried on the surface of the article to obtain the corresponding article information, so that the article information can be identified as the information of the article to obtain the detailed information of the article, further, the article entering and exiting the warehouse can be identified quickly and accurately, and the processing efficiency of the article entering and exiting the warehouse is improved.
Example 2
Referring to fig. 2, fig. 2 is a schematic flow chart of another method for identifying whether an item is in or out of a warehouse according to an embodiment of the present disclosure. The flow chart of the item warehousing identification method described in fig. 2 is improved according to the flow chart of the item warehousing identification method described in fig. 1. The method for identifying the entry and exit of the article comprises the following steps:
s201, constructing an initial recognition model.
In this embodiment, the initial recognition model is set and constructed according to preset parameters.
In this embodiment, the initial recognition model can be understood as a preset recognition model
S202, acquiring picture data used for training an initial recognition model and goods pre-stored information in and out of a warehouse, wherein the training data comprises one or more of goods coding picture data, goods production date picture data, goods shelf life picture data and goods batch number picture data.
In this embodiment, the above various types of information may be understood as a training information set, and rewriting the training information may improve the training effect of the initial recognition model, thereby obtaining a better character recognition model.
And S203, performing labeling processing on the picture data to obtain training data.
In this embodiment, the process may be understood as filling in a tag.
And S204, training the initial recognition model through the training data to obtain an initial character recognition model.
In this embodiment, the process is a training process of the artificial intelligence model, and details are not described in this embodiment.
S205, checking the initial character recognition model through the pre-stored information of the articles entering and exiting the warehouse to obtain the character recognition model.
In this embodiment, the process can ensure the training effect of the character recognition model through secondary verification, and improve the use effect of the character recognition model.
In this embodiment, the steps S201 to S205 may be understood as a training process of an artificial intelligence model, where the training process is a training process of an OCR model, specifically, for example, firstly, image information such as a product code, a production date, a quality guarantee period, a batch number, and the like is collected in advance, and is labeled with characters/numbers, and printed matters under different backgrounds are identified by a machine learning method. For example, the code of the kiwi fruit jam inner bag product is green background and black Song body number; the production date of the potherb mustard and bamboo shoot internal pocket is green flower color background (slightly wrinkled) and black Song body number; secondly, collecting the overall image characteristics of the inner packaging bag in advance for training, marking the SKU of the bag, and identifying the SKU according to the surface characteristics of the bag; and thirdly, storing a product information corresponding table for matching and checking.
S206, acquiring quality information and size information of the article and image-text information carried on the surface of the article.
In this embodiment, the mass information is the mass of the article, wherein the acquisition of the mass information may be performed by a preset weighing device.
In this embodiment, the graphic information carried on the surface of the article may include one or more of article coding information, article production date information, article shelf life information and article batch number information.
In this embodiment, the image-text information can be obtained by a device or equipment through scanning the raw material surface information (product code, production date, quality guarantee period, batch number) by a PDA (personal digital assistant).
In this embodiment, the principle of obtaining the size information is an imaging principle, wherein, according to the rules of the focal length and the imaging, corresponding scales are generated on a screen displaying a picture taken by a camera, so as to form a "ruler", and a user can know similar data such as the length, the width and the like of an object to be measured by comparing the object to be measured in the screen with the scales without searching for the ruler for actual measurement, thereby realizing the obtaining of the size information after the picture is obtained.
In this embodiment, after obtaining the identification data by scanning, weighing, and additional recording, the write data may be sent to the inventory management system for verification.
And S207, identifying the image-text information according to a pre-constructed character identification model to obtain identification data.
In this embodiment, the character recognition model is an OCR model; the OCR model may identify the teletext information.
S208, judging whether the identification data conform to a preset data format, if so, executing a step S209; if not, the flow is ended.
For example, the process may be understood as determining whether the data is in a particular format, such as a product code of 86 first 7 digits, a production date of 2019 first 8 digits; then, it is determined whether the product record contains the record, if the product code is identified as 8617316, it is determined whether there is a product code of 8617316.
S209, judging whether the quality information, the size information and the identification data are matched with preset warehouse-in and warehouse-out article pre-stored information, if so, executing a step S210; if not, the flow is ended.
In this embodiment, it may also be determined preferentially whether the quality information, the size information, and the identification data are complete, and if the data are incomplete, information to be manually added is prompted: in addition, when the various data are completely unclear and cannot be associated through identifiable information, information which needs to be manually added is also prompted.
In this embodiment, the process may be understood as that, for the ex-warehouse scene and the warehouse-in scene, whether the identification data conforms to the order form or the existing inventory is respectively determined, and if the identification result conforms to the actual situation, the warehouse-in/ex-warehouse operation is performed. If the order is not met/the inventory is available, a verification and processing procedure is performed.
And S210, carrying out warehouse entry and exit operation on the articles.
In this embodiment, the process is a process of controlling the articles to enter and exit the warehouse, and a description thereof is omitted.
For example, at warehousing: if the identified data does not conform to the order, a prompt is returned that does not conform to the order and is verified manually. If the item is multiple related items, manually judging which item is actually the related item, and warehousing. If the identification is correct, the goods are delivered by mistake, and the goods are manually put in storage and abnormal conditions are recorded; when the warehouse is out: if the identified data does not accord with the existing inventory, returning a prompt of not conforming with the existing inventory, manually confirming the purchase, sale and inventory information, calibrating whether the identification is accurate, and operating the warehouse-out.
S211, performing a cross-check process on the quality information, the size information, and the identification data, determining whether the quality information, the size information, and the identification data have integrity, if yes, performing step S213; if not, go to step S212.
In this embodiment, the process may be understood as a process of checking information with each other, where if there is insufficient information identification, the system may complete with basic information of the product, for example, if the product code identifies less than one, the product code is locked into 2 items, and the size and weight information is used to perform a re-determination, and if the product code is locked into 1 item, the product code is complemented with one, and the complete product code, weight, size, date of production, and validity period are transmitted to the inventory system to verify whether there is an order/inventory. If the size and weight still cannot be determined to be a specific item, the relevant 2 items are sent to the inventory system for verification.
S212, information integrity integration processing is carried out on the quality information, the size information and the identification data to obtain complete article information, wherein the complete article information comprises the processed quality information, the processed size information and the processed identification data.
And S213, storing the complete article information.
As shown in fig. 5, fig. 5 is a schematic flow chart of an example of the method for identifying the warehousing and ex-warehouse of the article, and the specific execution relationship of the above steps can be understood by referring to fig. 5.
In this embodiment, an execution subject of the article warehousing and ex-warehousing identification method may be a computing device such as a computer and a server, and this embodiment is not limited at all.
In this embodiment, the executing body of the article warehousing and ex-warehousing identification method may also be an OCR model or an executing system with an OCR model, which is not limited in this embodiment.
In this embodiment, the execution subject of the method for identifying the article entering and exiting from the warehouse may also be an intelligent device such as a smart phone and a tablet, and this embodiment is not limited at all.
It can be seen that, by implementing the method for identifying the article entering or exiting the warehouse depicted in fig. 2, the quality information and the size information of the article and the image-text information carried on the surface of the article can be preferentially obtained; then, identifying the image-text information according to a pre-constructed character identification model to obtain identification data; after the identification data are obtained, judging whether the quality information, the size information and the identification data are matched with preset goods pre-stored information of the warehouse; and if the quality information, the size information and the identification data are matched with preset goods pre-stored information for entering and exiting the warehouse, carrying out the operation of entering and exiting the warehouse on the goods. Therefore, by implementing the implementation mode, the corresponding identification can be carried out according to the quality information and the size information of the article and the image-text information carried on the surface of the article to obtain the corresponding article information, so that the article information can be identified as the information of the article to obtain the detailed information of the article, further, the article entering and exiting the warehouse can be identified quickly and accurately, and the processing efficiency of the article entering and exiting the warehouse is improved.
Example 3
Please refer to fig. 3, fig. 3 is a schematic structural diagram of an article warehousing and ex-warehousing identification device according to an embodiment of the present application. Wherein, this article go out warehouse entry recognition device includes:
the acquiring unit 310 is used for acquiring quality information and size information of the article and image-text information carried on the surface of the article;
the recognition unit 320 is configured to recognize the image-text information according to a pre-constructed character recognition model to obtain recognition data;
a judging unit 330, configured to judge whether the quality information, the size information, and the identification data match preset pre-stored information of the articles entering and exiting the warehouse;
and an in-out operation unit 340 for performing an in-out operation on the article if the matching is performed.
In this embodiment, the image-text information includes one or more of article coding information, article production date information, article shelf life information, and article batch number information.
In this embodiment, for the explanation of the article warehousing and ex-warehousing identification device, reference may be made to the description in embodiment 1 or embodiment 2, and details are not repeated in this embodiment.
It can be seen that, by implementing the article warehousing and ex-warehousing identification device described in fig. 3, corresponding identification can be performed according to the quality information and the size information of the article and the image-text information carried on the surface of the article to obtain corresponding article information, so that the article information can be identified as the information of the article to obtain detailed information of the article, thereby realizing rapid and accurate identification of the articles warehousing and ex-warehousing, and improving the processing efficiency of warehousing and ex-warehousing of the articles.
Example 4
Referring to fig. 4, fig. 4 is a schematic structural diagram of another article warehousing and ex-warehousing identification device according to an embodiment of the present application. The structural diagram of the article warehousing-in/out identification device depicted in fig. 4 is obtained by improving the structural diagram of the article warehousing-in/out identification device depicted in fig. 3. Wherein, the judging unit 330 includes:
a first sub-unit 331, configured to determine whether the identification data conforms to a preset data format;
a second subunit 332, configured to, when it is determined that the identification data conforms to the preset data format, determine whether the quality information, the size information, and the identification data match preset pre-stored information of an article entering or exiting the warehouse;
and a third subunit 333, configured to trigger the warehousing operation unit to perform warehousing and ex-warehousing operations on the articles when it is determined that the quality information, the size information, and the identification data match with the warehousing and ex-warehousing article pre-stored information.
As an optional embodiment, the article warehousing identification device further comprises:
an integrity judgment unit 350 configured to perform cross-checking processing on the quality information, the size information, and the identification data after the article is put into or taken out of the warehouse, and judge whether the quality information, the size information, and the identification data have integrity;
the integration unit 360 is configured to, when it is determined that the quality information, the size information, and the identification data do not have integrity, perform information integrity integration processing on the quality information, the size information, and the identification data to obtain complete article information, where the complete article information includes the processed quality information, the processed size information, and the processed identification data;
and a storage unit 370 for storing the complete item information.
As an optional embodiment, the article warehousing identification device may further include:
a construction unit 380 for constructing an initial recognition model;
the acquisition unit 310 is used for acquiring picture data used for training an initial identification model and pre-stored information of articles in and out of a warehouse, wherein the training data comprises one or more of article coding picture data, article production date picture data, article quality guarantee period picture data and article batch number picture data;
a training unit 390, configured to perform labeling processing on the picture data to obtain training data;
the training unit 390 is further configured to train the initial recognition model through the training data to obtain an initial character recognition model;
and the storage unit 370 is configured to perform verification processing on the initial character recognition model through the pre-stored information of the articles entering and exiting the warehouse, so as to obtain a character recognition model.
In this embodiment, the apparatus may be applicable to a PDA mobile phone terminal or an inventory management system, where the PDA mobile phone terminal is provided with: the image scanning module is used for scanning the product information on the surface of the goods and photographing to calculate the size; the information prompting module comprises two types of prompting functions, on one hand, an operator is prompted to replace angle scanning articles, such as 'please get closer a bit again', 'please shift leftwards', 'please keep horizontal' and the like; on the other hand, the final recognition and matching result is prompted to be manually confirmed, and the final warehouse entry and exit operation is completed, wherein the final recognition and matching result comprises ' effective information is not recognized, please make a supplementary recording ', ' effective inventory is not found/no order is not found, please confirm whether the information is wrong ', ' SKU is detected as XXX, please select which item the following batch is ' whether to put in or take out the XXX SKU ', and the like; the PDA comprises an OCR algorithm model after feature training, identification information is returned according to a shooting result, the identification content is a SKU which is judged by judging the image, and the outer box is judged according to product information characters, weight and size; judging the inner bag according to the product information characters, the overall characteristics, the weight and the size; the manual input module is a manual operation interface, and information can be manually input for confirmation when the surface of the manual input module can not be identified completely; and the inventory checking module can check the current stock SKU, quantity, batch and the like after the operation of warehouse entry and warehouse exit is finished, and can not be modified. If the data needs to be modified, the data needs to be modified in an inventory management system; and the photo viewing module is used for viewing the scanned and shot photos, feeding back a packaging supplier for improvement and the like.
In the embodiment, the inventory management system is provided with an order management module, and the order management module is used for confirming an order according to the inventory condition and checking the order when warehousing; the store management module authorizes and manages stores, and comprises functions of adding, deleting, changing and searching the stores; the device management module is used for authorizing and managing the PDA, and comprises the functions of adding, deleting, changing and searching the PDA device; the inventory management module is a core module formed by the whole technology and comprises various SKU information configurations, real-time inventory states and inventory modification units. The SKU base information can be configured, viewed and modified for inventory status, and the like. PDA model identification information is sent to the module for feedback; the model management module is mainly used for managing model versions and setting updating and reminding that the existing model does not contain SKUs and needs to be trained; and the abnormal error reporting module needs to carry out error reporting reminding when an abnormality/problem occurs, needs to judge where the problem appears and feeds back information to the PDA for manual checking. The error and the prompt include "not identify the valid information, please fill up the entry", "not check the valid stock/not order, please confirm whether the information is wrong", "detect SKU as XXX, please select which of the following lots is" whether to put in or out of stock ", etc.
In this embodiment, for the explanation of the article warehousing and ex-warehousing identification device, reference may be made to the description in embodiment 1 or embodiment 2, and details are not repeated in this embodiment.
It can be seen that, by implementing the article warehousing and ex-warehousing identification device described in fig. 4, corresponding identification can be performed according to the quality information and the size information of the article and the image-text information carried on the surface of the article to obtain corresponding article information, so that the article information can be identified as the information of the article to obtain detailed information of the article, thereby realizing rapid and accurate identification of the articles warehousing and ex-warehousing, and improving the processing efficiency of warehousing and ex-warehousing of the articles.
The embodiment of the application provides an electronic device, which comprises a memory and a processor, wherein the memory is used for storing a computer program, and the processor runs the computer program to enable the electronic device to execute the method for identifying whether an article is in or out of a warehouse in embodiment 1 or embodiment 2 of the application.
The embodiment of the present application provides a computer-readable storage medium, which stores computer program instructions, and when the computer program instructions are read and executed by a processor, the method for identifying whether an article is in or out of a warehouse according to embodiment 1 or embodiment 2 of the present application is performed.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. An article warehousing and delivery identification method, comprising:
acquiring quality information and size information of an article and image-text information carried on the surface of the article;
identifying the image-text information according to a pre-constructed character identification model to obtain identification data;
judging whether the quality information, the size information and the identification data are matched with preset in-out article pre-stored information;
and if the matching is carried out, carrying out warehouse entry and exit operation on the articles.
2. The method for identifying the warehousing of the article according to claim 1, wherein the image-text information comprises one or more of article coding information, article production date information, article shelf life information and article batch number information.
3. The method of claim 1, wherein the determining whether the quality information, the size information, and the identification data match pre-stored information of the articles entering or exiting the warehouse comprises:
judging whether the identification data conforms to a preset data format or not;
if the data format accords with the preset data format, judging whether the quality information, the size information and the identification data are matched with preset in-out warehouse article pre-stored information;
and if the information is matched with the pre-stored information of the articles entering and exiting the warehouse, executing the operation of entering and exiting the warehouse for the articles.
4. The method according to claim 1, wherein after the operation of entering and exiting the article, the method further comprises:
performing mutual checking processing on the quality information, the size information and the identification data, and judging whether the quality information, the size information and the identification data have integrity;
if not, performing information integrity integration processing on the quality information, the size information and the identification data to obtain complete article information, wherein the complete article information comprises the processed quality information, the processed size information and the processed identification data;
and storing the complete article information.
5. The method for identifying the warehousing and ex-warehousing of the article according to claim 1, wherein before the obtaining of the quality information and the size information of the article and the image-text information carried on the surface of the article, the method further comprises:
constructing an initial recognition model;
acquiring picture data used for training the initial recognition model and goods pre-stored information of an in-out warehouse, wherein the training data comprises one or more of goods coding picture data, goods production date picture data, goods shelf life picture data and goods batch number picture data;
labeling the picture data to obtain training data;
training the initial recognition model through the training data to obtain an initial character recognition model;
and checking the initial character recognition model through the pre-stored information of the articles entering and exiting the warehouse to obtain a character recognition model.
6. An article warehousing identification device, characterized by comprising:
the system comprises an acquisition unit, a display unit and a control unit, wherein the acquisition unit is used for acquiring quality information and size information of an article and image-text information carried on the surface of the article;
the recognition unit is used for recognizing the image-text information according to a pre-constructed character recognition model to obtain recognition data;
the judging unit is used for judging whether the quality information, the size information and the identification data are matched with preset goods pre-stored information of the warehouse;
and the warehousing-in and warehousing-out operation unit is used for performing warehousing-in and warehousing-out operation on the articles if the articles are matched.
7. The apparatus according to claim 6, wherein the judging means includes:
the first subunit is used for judging whether the identification data conforms to a preset data format or not;
the second subunit is used for judging whether the quality information, the size information and the identification data are matched with preset warehouse-in and warehouse-out article pre-storage information or not when the identification data are judged to accord with the preset data format;
and the third subunit is used for triggering the warehousing and ex-warehouse operation unit to carry out warehousing and ex-warehouse operation on the articles when the quality information, the size information and the identification data are judged to be matched with the warehousing and ex-warehouse article pre-stored information.
8. The article warehousing/retrieval identification device according to claim 6, further comprising:
an integrity judgment unit, configured to perform mutual checking processing on the quality information, the size information, and the identification data after the warehousing and ex-warehousing operation of the article is performed, and judge whether the quality information, the size information, and the identification data have integrity;
the integration unit is used for performing information integrity integration processing on the quality information, the size information and the identification data to obtain complete article information when the quality information, the size information and the identification data are judged not to have integrity, wherein the complete article information comprises the processed quality information, the processed size information and the processed identification data;
and the storage unit is used for storing the complete article information.
9. An electronic device, comprising a memory for storing a computer program and a processor for executing the computer program to cause the electronic device to perform the method of identifying an item in or out of a warehouse according to any one of claims 1 to 5.
10. A readable storage medium, wherein computer program instructions are stored, and when read and executed by a processor, perform the method for identifying the entry and exit of an item according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010464826.9A CN111626215A (en) | 2020-05-27 | 2020-05-27 | Method and device for identifying article in and out of warehouse |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010464826.9A CN111626215A (en) | 2020-05-27 | 2020-05-27 | Method and device for identifying article in and out of warehouse |
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| CN111626215A true CN111626215A (en) | 2020-09-04 |
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| CN202010464826.9A Withdrawn CN111626215A (en) | 2020-05-27 | 2020-05-27 | Method and device for identifying article in and out of warehouse |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112340347A (en) * | 2020-10-26 | 2021-02-09 | 北京极智嘉科技有限公司 | Goods shelving system and method |
| CN112348439A (en) * | 2020-11-05 | 2021-02-09 | 深圳市几米物联有限公司 | Precious material warehouse-in and warehouse-out method and precious material intelligent warehouse management system |
| CN113223226A (en) * | 2021-05-26 | 2021-08-06 | 武汉量卓科技有限公司 | Intelligent management method and system for intelligent exhibition based on artificial intelligence and computer storage medium |
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| JP7082359B1 (en) | 2022-01-24 | 2022-06-08 | 株式会社イント | Inventory management device and inventory management system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112340347A (en) * | 2020-10-26 | 2021-02-09 | 北京极智嘉科技有限公司 | Goods shelving system and method |
| CN112348439A (en) * | 2020-11-05 | 2021-02-09 | 深圳市几米物联有限公司 | Precious material warehouse-in and warehouse-out method and precious material intelligent warehouse management system |
| WO2022165692A1 (en) * | 2021-02-04 | 2022-08-11 | 深圳迈瑞生物医疗电子股份有限公司 | Reagent management method and related device |
| CN113223226A (en) * | 2021-05-26 | 2021-08-06 | 武汉量卓科技有限公司 | Intelligent management method and system for intelligent exhibition based on artificial intelligence and computer storage medium |
| CN113344500A (en) * | 2021-08-05 | 2021-09-03 | 常州微亿智造科技有限公司 | Parts warehouse-in and warehouse-out system and method |
| JP7082359B1 (en) | 2022-01-24 | 2022-06-08 | 株式会社イント | Inventory management device and inventory management system |
| JP2023107297A (en) * | 2022-01-24 | 2023-08-03 | 株式会社イント | Inventory management device and inventory management system |
| CN115512453A (en) * | 2022-09-06 | 2022-12-23 | 国药控股广东物流有限公司 | Goods acceptance method, system, electronic equipment and medium |
| CN115965797A (en) * | 2022-12-27 | 2023-04-14 | 北京国电光宇机电设备有限公司 | Automatic identification method and system for intelligent assembly parts |
| CN115965797B (en) * | 2022-12-27 | 2023-12-08 | 北京国电光宇机电设备有限公司 | Automatic identification method and system for intelligent assembly parts |
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Application publication date: 20200904 |