CN113298453A

CN113298453A - Data processing method and system and electronic equipment

Info

Publication number: CN113298453A
Application number: CN202010890179.8A
Authority: CN
Inventors: 裴长睿; 潘伟灵; 郑健
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba Group Holding Ltd
Priority date: 2020-08-28
Filing date: 2020-08-28
Publication date: 2021-08-24

Abstract

The embodiment of the application provides a data processing method, a data processing system and electronic equipment. Wherein the method comprises the following steps: acquiring a material image; determining attribute information of the material based on the material image; acquiring target bill information associated with the material; and executing a processing task aiming at the material according to the target receipt information and the attribute information. By adopting the technical scheme provided by the embodiment, the personnel is not required to identify and input the material-related receipt, the manual identification of the material is also not required, the attribute information of the material can be directly determined according to the material image, the acquisition and confirmation work of the target receipt information and the material attribute information corresponding to the material can be quickly and accurately completed, and the processing efficiency of processing tasks such as material warehousing is effectively improved.

Description

Data processing method and system and electronic equipment

Technical Field

The present application relates to the field of computer technologies, and in particular, to a data processing method and system, and an electronic device.

Background

With the development of computers and related intelligent technologies, more and more intelligent manufacturing technologies and intelligent manufacturing systems are applied to manufacturing links, for example, in order to respond to the reform of the supply side, the intelligent logistics supply chain is created, and the construction of a small single fast reverse-speed flexible supply chain is realized.

In the manufacturing industry, material procurement and delivery management are directly related to whether manufacturing can be smoothly carried out. In the prior art, the material is circulated from purchasing, receiving and managing in the form of bill of material. The storage warehousing, storage and delivery of the materials are mainly offline management, wherein the receiving warehousing link mainly depends on manual material identification, so that the condition of identification errors is easy to occur, the identification efficiency is low, and the requirements of quick and accurate response of intelligent manufacturing are difficult to meet.

Disclosure of Invention

In order to solve or improve the problems in the prior art, embodiments of the present application provide a data processing method, a system, and an electronic device.

In one embodiment of the present application, a data processing method is provided. The method comprises the following steps:

acquiring a material image;

determining attribute information of the material based on the material image;

acquiring target bill information associated with the material;

and executing a processing task aiming at the material according to the target receipt information and the attribute information.

In another embodiment of the present application, another data processing method is provided. The method comprises the following steps:

generating document information according to the document image;

determining attribute information of the material according to the material image;

and executing a processing task aiming at the material according to the attribute information and the receipt information.

In one embodiment of the present application, a data processing system is provided. The system comprises:

the client device is used for acquiring a material image; acquiring attribute information of the material corresponding to the material image from server equipment; acquiring target bill information associated with the material; executing a processing task aiming at the material according to the target receipt information and the attribute information;

and the server equipment has an image searching function and is used for searching and feeding back attribute information of the corresponding material according to the material image sent by the client equipment.

In another embodiment of the present application, another data processing system is provided. The system comprises:

the client equipment is used for generating document information according to the document image; sending a material image to server equipment to obtain attribute information of a material corresponding to the material image from the server equipment; executing a processing task aiming at the material according to the attribute information and the receipt information;

acquiring a material image of a material to be put in storage;

acquiring management data related to the materials to be put in storage according to the material images;

and displaying the management data to wait for warehousing treatment aiming at the materials to be warehoused.

determining attribute information of the materials to be put in storage according to the material images of the materials to be put in storage;

determining warehousing entry information according to the warehousing entry image of the material to be warehoused;

and displaying the attribute information and the warehousing bill information in an associated manner so as to wait for warehousing processing aiming at the materials to be warehoused.

In one embodiment of the present application, an electronic device is provided. The electronic device includes: a memory and a processor; wherein the content of the first and second substances,

the memory is used for storing programs;

the processor, coupled with the memory, to execute the program stored in the memory to:

acquiring a material image;

determining attribute information of the material based on the material image;

acquiring target bill information associated with the material;

In another embodiment of the present application, an electronic device is provided. The electronic device includes: a memory and a processor; wherein the content of the first and second substances,

the memory is used for storing programs;

generating document information according to the document image;

In yet another embodiment of the present application, an electronic device is provided. The electronic device includes: a memory, a processor and a display; wherein the content of the first and second substances,

the memory is used for storing programs;

acquiring a material image of a material to be put in storage;

and indicating the display to display the management data to wait for warehousing processing aiming at the materials to be warehoused.

the memory is used for storing programs;

and indicating the association display of the attribute information and the warehousing bill information so as to wait for warehousing processing aiming at the materials to be warehoused.

According to the technical scheme provided by the embodiment of the application, after the image of the material to be put in storage is acquired, the attribute information corresponding to the material is determined in an image identification mode; simultaneously, target document information related to the material can be obtained; and then executing processing tasks aiming at the material, such as warehousing processing or verification processing and the like, according to the target receipt information and the attribute information of the material. By adopting the technical scheme provided by the embodiment, the personnel is not required to identify and input the material-related receipt, the manual identification of the material is also not required, the attribute information of the material can be directly determined according to the material image, the acquisition and confirmation work of the target receipt information and the material attribute information corresponding to the material can be quickly and accurately completed, and the processing efficiency of processing tasks such as material warehousing is effectively improved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.

Fig. 1a is a schematic flowchart of a data processing method according to an embodiment of the present application;

FIG. 1b is a schematic diagram of an interactive interface provided in an embodiment of the present application;

FIG. 1c is a schematic diagram of a user triggering confirmation of a displayed material image after photographing through an interactive interface;

FIG. 2 is a schematic diagram of an acknowledgment order information interface according to an embodiment of the present disclosure;

FIG. 3 is a schematic diagram of an interactive interface showing a plurality of candidate images;

fig. 4 is a schematic flowchart of a method for determining a target image according to an embodiment of the present disclosure;

fig. 5 is a schematic flowchart of a method for acquiring target document information according to an embodiment of the present application;

fig. 6 is a schematic flowchart of another method for acquiring target document information according to an embodiment of the present application;

fig. 7 is a schematic flowchart of another data processing method according to an embodiment of the present application;

FIG. 8 is a flowchart illustrating a method for generating document information according to an embodiment of the present application;

FIG. 9 is a schematic diagram of document information provided in accordance with an embodiment of the present application;

fig. 10 is a schematic signaling interaction diagram according to an embodiment of the present application;

fig. 11 is a schematic diagram illustrating a client operating process according to an embodiment of the present application;

fig. 12 is a schematic flowchart of a data processing method according to another embodiment of the present application;

fig. 13 is a schematic flowchart of a data processing method according to another embodiment of the present application;

FIG. 14 is a diagram illustrating a receiving scenario search link according to an embodiment of the present application;

FIG. 15 is a schematic diagram of a pre-sort scenegraph search link provided in accordance with an embodiment of the present application;

fig. 16 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application;

fig. 17 is a schematic structural diagram of a data processing apparatus according to another embodiment of the present application;

fig. 18 is a schematic structural diagram of a data processing apparatus according to yet another embodiment of the present application;

fig. 19 is a schematic structural diagram of a data processing apparatus according to yet another embodiment of the present application;

fig. 20 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

In the existing purchasing and receiving processes, the purchasing party and the receiving party are not closely matched in work. For example, a buyer generates a purchase inventory and corresponding purchase list through a buyer system. The supplier delivers the goods to the receiver according to the purchase list. After the goods arrive at the warehouse of the receiver, the warehouse staff takes the purchase list and needs to perform operation on the warehouse management system (for example, input the serial number of the purchase order to find out the corresponding warehousing order), then the information of the name, the code, the quantity, the color and the like of the goods to be warehoused is verified in a manual verification mode, when all the information of the goods to be warehoused is verified to be consistent with the warehousing order information, the confirmation operation aiming at the warehousing order can be triggered on the system, and the corresponding state of the warehousing order is changed from 'non-received' to 'received' after the confirmation operation. In the whole process, workers need to manually input order numbers and search corresponding warehousing orders; but also identify the attribute information (such as color, shape, size, etc.) of the goods. In the process, the materials are mainly identified by workers, so that the condition of identification errors is easy to occur, and the identification efficiency is low.

To this end, the present application provides the following embodiments to solve or partially solve the problems occurring in the prior art. In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.

In some of the flows described in the specification, claims, and above-described figures of the present application, a number of operations are included that occur in a particular order, which operations may be performed out of order or in parallel as they occur herein. The sequence numbers of the operations, e.g., 101, 102, etc., are used merely to distinguish between the various operations, and do not represent any order of execution per se. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different. In addition, the embodiments described below are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

Fig. 1a is a schematic flow chart of a data processing method according to an embodiment of the present application. The execution main body of the method may be a client device, and the client device may be a mobile phone, a tablet computer, a PDA (Personal Digital Assistant), an intelligent wearable device, and the like, which is not particularly limited in this embodiment. Specifically, the method comprises the following steps:

101. acquiring a material image;

102. determining attribute information of the material based on the material image;

103. acquiring target bill information associated with the material;

104. and executing a processing task aiming at the material according to the target receipt information and the attribute information.

In the foregoing 101, the material image may be acquired by an image acquisition device (e.g., a camera). The image acquisition device has a photographing or shooting function, and can be, but is not limited to: cameras, video recorders, cameras, etc. The execution main body of the method can be provided with an image acquisition device, and a user can trigger the image acquisition device to work through a control on the touch equipment or through a voice control mode and the like so as to acquire the material image. Or, the image acquisition device and the execution main body of the method are two independent devices which are in communication connection, and a user can send a corresponding control instruction to the image acquisition device through the execution main body of the method so as to control the image acquisition device to work and acquire the material image. As shown in the interactive interface 1 of fig. 1b, the user may trigger the photographing of the material by clicking the "confirm photograph" control. Of course, the material image may be input or imported by the user. That is, the step 101 of obtaining the material image may specifically include the following steps: responding to the input operation of a user, and acquiring the material image input by the user; or in response to a user-triggered image acquisition instruction, acquiring the material image. Referring to fig. 1c, the collected material image may be displayed on the interactive interface 1. If the user feels that the material image is not satisfactory, the user can trigger to take a picture again by clicking the 'take a picture again' control.

What needs to be added here is: the attribute information of the material is determined only based on the image of one angle of the material, and the problem of low accuracy rate may exist. For example, the color of the material is identified incorrectly due to the light. Therefore, images of the material at multiple angles can be collected, and the images can also be videos. The videos can be continuously acquired from different angles of the material.

In 102, the attribute information of the material may include, but is not limited to, at least one of the following: material shape, material color, material name, material code, material warehousing quantity (or purchase quantity), and the like. For an inventory item, the attribute information for the item may be the SKU (stock keep unit) for the item. The SKU is a physically indivisible unit of stock in the minimum.

In 103, the target document information related to the material may have different expression forms or names in different application scenarios. In the material purchasing scene, the receipt information is purchase order information, and the purchase order information contains attribute information (such as SKU) of at least one material to be purchased. The material to be purchased is associated with the purchase order information. In a material warehousing scene, document information is warehousing bill information which comprises attribute information (such as SKU) of at least one material to be warehoused; the same materials to be put in storage are associated with the information of the warehousing bill.

In practical applications, there may be more than one target document information associated with the material. For example, a batch of buttons of the same SKU are divided into two warehousing lists, and two warehousing lists are correspondingly formed. In this case, there are two pieces of target document information associated with the clasp.

In this embodiment, the obtaining manner of the target document information in step 103 may include, but is not limited to, the following two manners: one is to search related target bill information from a bill library by utilizing the attribute information of the material; the method is adopted on the premise that the bill information corresponding to the material is stored in the bill library. And the other type can generate target document information according to the document image. Taking a warehousing scene as an example, warehousing materials and warehousing orders are usually transported to a warehouse together. The warehouse staff can see the paper warehouse-in bill in addition to the real object when receiving the warehouse-in material. At this time, the warehousing entry image can be collected, and then the warehousing entry content is identified through an identification technology to generate target document information related to the warehousing material transported together with the warehousing entry image.

If the method provided in this embodiment is applied to a warehouse management scenario, the step 104 of executing the processing task for the material may specifically be: after the staff completes the checking of the SKU of the material, the warehousing operation is confirmed aiming at the material, and the state of the target bill information corresponding to the material is converted into 'warehoused'. Namely, the worker can complete the warehousing of the materials by the warehousing operation on the operation display interface. That is, in step 104, "execute the processing task for the material according to the target document information and the attribute information" may specifically be:

1041. displaying at least part of contents in the target receipt information and the attribute information;

1042. and responding to confirmation operation triggered by the user aiming at the displayed content, and confirming the target receipt information so as to modify the state corresponding to the target receipt information.

Through the embodiment, after the target receipt information and the attribute information which have the incidence relation with the material are obtained, at least part of the information is displayed on the client. For example, fig. 2 is a schematic diagram of an acknowledgement order information interface according to an embodiment of the present disclosure. In the interface, the material image, the target document information (such as source document number), the attribute information (such as receiving type, supplier information, receiving time, material model, material color, etc.) are displayed. The receiving personnel checks the information item by item, if the checking has no problem, the receiving can be confirmed, and the bill information related to the materials is changed into the received goods or the stored goods. In the process, the warehousing list, the attribute information of the materials and the like do not need to be manually filled, and the error risk caused by manual filling is reduced.

According to the technical scheme provided by the embodiment, after the image of the material to be received is acquired, the attribute information corresponding to the material is determined in an image identification mode; simultaneously, target document information related to the material can be obtained; and then executing processing tasks aiming at the material, such as warehousing processing or verification processing and the like, according to the target receipt information and the attribute information of the material. By adopting the technical scheme provided by the embodiment, the personnel is not required to identify and input the material-related receipt, the manual identification of the material is also not required, the attribute information of the material can be directly determined according to the material image, the acquisition and confirmation work of the target receipt information and the material attribute information corresponding to the material can be quickly and accurately completed, and the processing efficiency of processing tasks such as material warehousing is effectively improved.

In an achievable technical solution, the determining the attribute information of the material based on the material image in this embodiment 102 may specifically include the following steps:

1021. determining a target image matched with the material image according to the material image;

1022. and acquiring attribute information of the material corresponding to the target image.

At 1021, a target image matching the material image can be searched by using a graph searching technique. For example, after the execution subject of the method of this embodiment acquires the material image, a target image matched with the material image is searched from the local gallery by using a graph searching technology. This requires that the image of the material be pre-stored locally. Of course, there may be one or more searched images (hereinafter, collectively referred to as candidate images) matching the material image. The image searching with the image is a technology for searching images meeting matching requirements in an image library by searching image texts or visual features. The image searching technology is roughly divided into three parts: feature extraction, retrieval engine and search result sequencing. Specifically, extracting characteristic information of a material image; then sending the characteristic information to a retrieval engine, and retrieving at least one candidate image meeting the matching requirement from the established retrieval result through the retrieval engine; assuming that there are multiple candidate images retrieved, the multiple candidate images will be ranked. The ordering rule depends on the specific design requirement, and this embodiment does not limit this.

In an implementation solution, the step 1021 may specifically be:

displaying at least one candidate image which meets the matching requirement with the material image;

and in response to a confirmation operation triggered by a user for a candidate image, taking the candidate image confirmed by the user as the target image.

Referring to the example shown in fig. 3, three candidate images meeting the matching requirement with the material image 2 are displayed on the interactive interface 1. The user can click the click operation key corresponding to the corresponding candidate image and then click the 'confirmation' control on the interactive interface 1, and the whole confirmation process can be completed. In the example shown in fig. 3, the user performs a clicking operation on the clicking operation key on the left side of the first candidate image 3, the clicking operation key changes its color, and the user can confirm the first candidate image 3 as the target image by clicking the "confirm" control. After the user confirms, the user can jump to the page of "please select to confirm the receipt information" shown in fig. 2. If the user clicks the 'result mismatch' control, the user jumps to the page for creating blank document information, and needs to manually create corresponding document information, which is convenient for the same process in the prior art. If the user clicks the "return" control, the user returns to a specified page, for example, a document list management page of the document management system, which is not specifically limited in this embodiment.

Besides local search, the material image can be sent to the server side and searched by the server side. The server may be a server, a server cluster, a virtual server, or a cloud device, and the like, which is not specifically limited in this embodiment. Specifically, as shown in fig. 4, the step 1021 may specifically include the following steps:

s11, sending the material image to a server side so that the server side searches out at least one candidate image which meets the requirement of matching degree with the material image;

s12, acquiring and displaying the at least one candidate image;

and S13, in response to the confirmation operation triggered by the user aiming at a candidate image, taking the candidate image confirmed by the user as the target image.

The "meeting the requirement of the matching degree" may specifically be: the matching value (or similarity value) of the two images is greater than a threshold value. For example, the scheme of this embodiment is applied to a warehousing scene, and the server may be docked with a purchasing system, for example, an image of a purchasing material stored in the purchasing system may be acquired from a device corresponding to the purchasing system. In addition, in order to improve the calculation accuracy, reduce the search range of the server and reduce the calculation amount, the server can collect the purchased materials which are placed by all current purchasing parties but not finished receiving the goods together to form a purchased material image set; the server looks only in the set. If the number of the candidate images is large, in order to reduce the difficulty of the user in the confirmation operation and improve the efficiency of the confirmation operation, all the candidate images may be sorted according to the matching degree, and the top 10 or top5 candidate images are screened out and displayed to the user through the client.

Further, it is mentioned above that there are various ways to obtain the target document information associated with the material. Fig. 5 shows a schematic flow chart of a first method for acquiring target document information, and as can be seen from fig. 5, the step 103 "acquiring target document information associated with the material" may include the following steps:

1031. performing text recognition on the material bill associated with the material to obtain a recognition result;

1032. and determining the target bill information according to the identification result.

In a specific implementation, the step 1031 may specifically be: and responding to a collection identification instruction triggered by a user, triggering a collection identification device to start so as to perform text identification on the material bills in the collection area and obtain an identification result. For example, the user clicks an acquisition identification control on the client, the acquisition identification device of the client device is started, and an identification frame is displayed on the interface of the client device. The user can make the acquisition end of the client device face the material document, and the image of the material document is positioned in the identification frame in a mode of moving the client device. And the acquisition and identification device of the client equipment identifies the material bills in the identification frame to obtain the identification result. Or, an image acquisition device of the client device or an image acquisition device in communication connection with the client device acquires a document image, and then performs text Recognition on the document image by using an OCR (Optical Character Recognition) technology to obtain a Recognition result.

Through the embodiment, when the target document information is obtained, the receiving personnel is not required to manually identify the document and manually input document information such as the document number, the working flow of the personnel is simplified, the operation error of the personnel is avoided, and the working efficiency and the material document identification accuracy rate in the receiving operation process can be improved.

When the system is implemented specifically, the user can also place the materials and the associated documents together for image acquisition. For example, the material is placed beside the document, the client device or an image acquisition device connected with the client device is started, and an image containing the material and the document is acquired. Then, the image is segmented by utilizing an image segmentation technology to obtain the material image and the document image mentioned above. Among them, the image segmentation technique is a technique and a process of dividing an image into a number of specific regions having unique properties and proposing an object of interest. How to use the image segmentation technology to segment the contents of the material image and the document image is not particularly limited in this embodiment, and reference may be made to corresponding descriptions in the prior art.

The document information is created in a text recognition mode, manual creation by a user is not needed, the workload of the user is reduced, and the error probability is reduced.

Fig. 6 is a schematic flow chart of a second method for acquiring target document information, and as can be seen from fig. 6, the step 103 "acquiring target document information associated with the material" may include the following steps:

1031' and inquiring at least one candidate bill information in the bill library, which meets the association requirements with the material, according to the attribute information.

1032': and displaying the at least one candidate bill information.

1033': and responding to a selection operation triggered by a user aiming at least one candidate bill information, and taking the candidate bill information selected by the user as the target bill information.

1031' above, the bill bank may be stored locally or at the server. If the bill bank is stored locally, an executing body (such as the client device) of the method of this embodiment may search for at least one candidate bill information in the locally stored bill bank according to the attribute information after acquiring the attribute information. And then, displaying the searched at least one piece of document information on a display interface of the client, and further, carrying out selection operation on at least one piece of candidate document information by a user to select target document information. If the bill library is stored in the server, the client device needs to send the attribute information to the server, and the server inquires and feeds back the at least one piece of candidate bill information related to the material.

In 1032', when there are a plurality of candidate document information, the display mode of the plurality of candidate document information may be a list or a pull-down menu mode.

By the scheme, the document information corresponding to the material is directly inquired according to the attribute information of the material, a user does not need to manually input work such as searching, the workload of the user is reduced, the working efficiency is improved, and the error probability of the user can be effectively reduced.

Further, the scheme provided by the embodiment also provides a function of modifying the target document information and/or the attribute information for the user. That is, the method provided by this embodiment may further include the following steps:

105. displaying the target receipt information and the attribute information;

106. and in response to the modification operation of the user aiming at least one item of the target bill information and the attribute information, determining the modified target bill information and/or the attribute information.

And the user modifies the data to indicate that the deviation occurs in the process of adopting automatic identification, so that the final target bill information and/or the attribute information of the material is wrong. Therefore, the data modified by the user can be used as a learning sample and can be used for optimizing the algorithm involved in the embodiment. That is, the method provided by this embodiment may further include the following steps:

taking the modified target bill information and/or the modified attribute information as a learning sample so as to optimize a corresponding algorithm;

wherein the algorithm comprises: the method comprises the steps of identifying material attributes in an image based on the image and/or identifying texts of material bills related to the material based on the image.

In specific implementation, the first algorithm may be an image classification model, a feature generation model, an image feature extraction model, and the like, which are involved in the image searching technology. These models, such as image classification models, feature generation models, and image feature extraction models, can be implemented based on machine learning techniques (e.g., neural network models). The second algorithm may be a word recognition model, which may likewise be implemented based on machine learning techniques (e.g., neural network models).

The machine learning model (such as a neural network model) needs to be trained, and the output precision can meet the set requirement. The target document information and/or the attribute information modified by the user can be used as a sample to optimize a corresponding algorithm (or model).

By counting the actual use data, the accuracy of at least one attribute information (such as SKU) determined based on the material image can reach more than 55% by adopting the scheme provided by the embodiment. Of course, the larger the subsequent sample data size is, the higher the precision of each model is, and the final accuracy can be greatly improved.

As can be seen from the above, the scheme provided in the embodiment of the present application relates to detecting a material by using a material image to obtain SKU information of the material; the method can also utilize OCR character recognition to recognize the paper document or the electronic document picture to obtain document information; corresponding data can be matched quickly; and too many manual operations of users are not needed, and the warehousing or material sorting efficiency is improved.

The technical scheme provided by the embodiment is suitable for non-standard materials, the materials have no bar codes (difficult digitization), the document information is manually communicated under the high medical line of the current selling process, the SKU of the received goods or the sorted materials is manually identified, and the efficiency is low; by adopting the scheme provided by the embodiment, a worker takes a picture of a material through hardware and uploads the picture, the system identifies the picture, and then at least one candidate SKU is pushed; the user confirms the material information and associates the source document to sell the material; the overall efficiency is obviously improved, and the average 2 minutes per batch of materials can be improved to 30 seconds from the current manual identification. In addition, the technical scheme provided by the embodiment has strong reproducibility, has the technical conditions of warehouse opening replication, and does not need great difficulty. If the scheme that this embodiment provided is applicable to the warehouse management of clothing auxiliary material, the scheme that this scheme provided can support the full grade, for example: washing and hanging clothes, buttons, zippers, decorations and the like.

Fig. 7 is a schematic flowchart of another data processing method according to an embodiment of the present application. The execution subject of the method may be a client device. Specifically, the method comprises the following steps:

701. generating document information according to the document image;

702. determining attribute information of the material according to the material image;

703. and executing a processing task aiming at the material according to the attribute information and the receipt information.

In 701 and 702, the document image and the material image may be acquired by an image acquisition device on the client device, or may be input by the user. Of course, the document image and the material image can be divided by one image. For example, as mentioned above, a user may put the material and the document together to capture an image during image capture; and then, segmenting a document image and a material image by using an image segmentation technology.

In an implementation technical solution, as shown in fig. 8, a schematic flow diagram of a method for generating document information according to an embodiment of the present application is provided. As can be seen from fig. 8, the step 701 "generating document information according to a document image" specifically includes the following steps:

7011. identifying the document image by adopting an optical character identification mode to obtain an identification result;

7012. and generating the bill information based on the identification result.

7012, document information may be generated in a preset template according to the recognition result. As an example shown in fig. 9, the recognition result obtained by recognizing the left document image of fig. 9 by the optical character recognition technology includes: the bill number, the material type, the material quantity and other basic information; then, the document information on the right side of fig. 9 is generated according to the preset template from the information in the identification result.

In an implementation technical solution, the step 702 "determining the attribute information of the material according to the material image" may include the following steps: determining a target image matched with the material image according to the material image; and acquiring attribute information corresponding to the target image.

Further, the step of determining a target image matching the material image according to the material image may include: sending the material image to a server side so that the server side searches out at least one candidate image which meets the requirement of matching degree with the material image; acquiring and displaying the at least one candidate image; and in response to a confirmation operation triggered by a user for a candidate image, taking the candidate image confirmed by the user as the target image.

Here, it should be noted that: for more details about

steps

702 and 703, reference may be made to the corresponding description in the above embodiments, which are not repeated herein. In addition, the method provided by the embodiment may include other steps in the above embodiment besides the steps described above.

For ease of understanding, one of the data processing procedures is described below in conjunction with a specific scenario. Fig. 10 is an interaction flowchart provided in an embodiment of the present application, and fig. 11 is a schematic diagram of a client operation process provided in an embodiment of the present application.

It is assumed that the client device 100 is provided with or connected to a hardware facility for image acquisition, such as a camera. The specific process is as follows:

referring to fig. 10 and 11, after the supplier delivers the goods to the warehouse, the staff of the receiver unpacks the goods (e.g., buttons) to get a good, and places the good in the effective shooting range of the image capturing device, and after the proper angle and light are adjusted, the staff clicks the shooting control in the display interface to send a shooting start instruction to the image capturing device. At this time, the staff may see the photographing window including the material image (i.e., the button image) through the client device 100, and if it is determined that the current angle and the light ray satisfy the photographing condition, the staff determines to photograph. The client device 100 sends a photographing instruction to the image acquisition device, and the image acquisition device executes a photographing action and sends the obtained material image to the client device 100. The client device 100 sends the material image to the server device 200. Specifically, the server device may be a cloud device, and the cloud device may include a first service node, a second service node, a third service node, and the like. Each node may be a physical server or a virtual server, which is not specifically limited in this embodiment. Wherein the second service node stores a gallery. The third service node is used for executing the task of searching the graph by the graph.

After receiving the material image, the first service node preprocesses the material image and then sends a request for obtaining the gallery to the second service node. Among other things, the pre-processing of the material image may include, but is not limited to: and filtering, enhancing, sharpening and the like are carried out on the material image so as to enhance the identification degree of the material image. Of course, the pre-processing of the material image may also be performed by the client device 100. The second serving node returns the graph library to the first serving node. And the first service node sends the material image and the gallery to a third service node. The third service node queries candidate images meeting matching requirements from a gallery based on the material images; and sending the candidate image to the first service node. Specifically, the third service node compares the material image with images in a gallery to query candidate images with comparison results meeting requirements. The first service node packages and sends the at least one candidate image subjected to the sorting and screening processing and the attribute information corresponding to each candidate image to the client device 100. The worker may select one candidate image as a target image from the image list in which at least one candidate image is displayed through the client device 100. Subsequently, the client device 100 obtains and displays at least one document information associated with the target image and the material attribute information corresponding to the target object. In particular, referring to FIG. 11, client device 100 may obtain document information from device 300 associated with the purchasing system. And the staff selects the bill information matched with the material in a list window for displaying the bill information at the client. And finishing the confirmation work of the target image and the receipt information and finishing the receiving.

The embodiment of the application provides a data processing system. Referring to fig. 11, the system includes a client device 100 and a server device 200. Wherein the content of the first and second substances,

a client device 100 for acquiring a material image; acquiring attribute information of the material corresponding to the material image from server equipment; acquiring target bill information associated with the material; executing a processing task aiming at the material according to the target receipt information and the attribute information;

and the server equipment 200 has an image searching function and is used for searching and feeding back attribute information of the corresponding material according to the material image sent by the client equipment.

Further, the server device 200 is configured to search, according to the material image, at least one candidate image that meets a requirement of a matching degree with the material image and attribute information of a material corresponding to the candidate image; and sending the at least one candidate image and the attribute information of the material corresponding to the candidate image to the client equipment. The client device 100 is further configured to display the at least one candidate image, and in response to a confirmation operation triggered by a user for a candidate image, use attribute information of a material corresponding to the candidate image confirmed by the user as attribute information of a material corresponding to the material image.

Specifically, the working processes of the client device and the server device in the system may refer to the corresponding contents in the foregoing method embodiments, and are not repeated here. It should be noted that the server device herein may be a cloud server or a server cluster, and one server device may correspond to multiple client devices.

The embodiment of the application provides another data processing system. Also, referring to the structure shown in fig. 11, the system comprises:

a client device 100 for generating document information from a document image; sending a material image to server equipment to obtain attribute information of a material corresponding to the material image from the server equipment; executing a processing task aiming at the material according to the attribute information and the receipt information;

Specifically, the working processes of the client and the server in the system may refer to the corresponding contents in the above method embodiments, and are not repeated here. It should be noted that the server device herein may be a cloud server or a server cluster, and one server device may correspond to multiple client devices.

It should be noted that: the technical scheme provided by each embodiment of the application can be widely applied to various fields, and the fields of digital management of real objects exist. Such as the digital management of goods in commercial ultra warehouses, the digital management of goods in warehouse operators, the digital management of products in factory warehouses, and the like. For example, when a batch of commodities in the warehouse are put in storage, a worker can shoot the commodities to be put in storage through a camera of the client device or trigger the camera by using the client device. The client side can send the shot commodity images to the server side, and the server side searches out at least one candidate image which meets the matching requirement with the commodity images by adopting a picture searching technology. And the client device displays at least one candidate image fed back by the server on the user interface. From which the user may select a candidate image confirmation. Thus, the client device can obtain the management data of the commodity, such as the SKU of the commodity, the warehousing entry information of the commodity and the like, based on the selected candidate image (i.e., the target image). The client device displays the management data of the commodity, and after the user checks the management data, the user can operate the management data through a corresponding control on the interactive interface, such as confirmation operation and the like.

The following examples will be provided, which will be described by way of example of warehousing of materials.

Fig. 12 is a flowchart illustrating a data processing method according to yet another embodiment of the present application. As shown in fig. 12, the method includes:

801. acquiring a material image of a material to be put in storage;

802. acquiring management data related to the materials to be put in storage according to the material images;

803. and displaying the management data to wait for warehousing treatment aiming at the materials to be warehoused.

For more details of the above step 801, reference may be made to the corresponding descriptions in the above embodiments, which are not repeated herein.

In 802 above, the management data may include, but is not limited to: SKU of materials, inventory information, etc. Specifically, the step 802 can be implemented by the following steps:

8021. carrying out image recognition on the material image to obtain a recognition result;

8022. and acquiring management data related to the materials to be put in storage according to the identification result.

In a specific implementation, the step 8021 may specifically include:

A. searching at least one candidate image which meets the requirement of matching degree with the material image according to the material image;

B. presenting the at least one candidate image;

C. in response to a selection operation of the at least one candidate image by a user, determining a selected candidate image;

D. and determining management data related to the materials to be put in storage according to the selected candidate images.

Wherein, the step of searching candidate images in step a can also be implemented by the server. Namely, the step a may specifically be: sending the material image to a server, so that the server searches out at least one candidate image which meets the requirement of matching degree with the material image based on the material image; and receiving the at least one candidate image fed back by the server.

In the step D, the attribute information of the selected candidate image may be obtained first, and then the warehousing entry information related to the material to be warehoused may be obtained according to the attribute information of the selected image.

Further, the method provided by this embodiment may further include the following steps:

804. and responding to the operation of the user on the management data, and updating the management data according to the user operation data.

Specifically, the update to the management data may include, but is not limited to: the warehousing state is updated (such as warehousing or non-warehousing), the attribute information of the materials is updated (such as the number of the on-site inspection materials is different from the number on the warehousing list, and the user is modified into the actual inspection number), and the like.

Here, it should be noted that: for the content of some steps not detailed in this embodiment, reference may be made to the corresponding description in the above embodiments, which is not repeated herein. In addition, the method provided by the embodiment may include other steps in the above embodiment besides the steps described above.

The embodiment shown in fig. 12 is a scheme of acquiring management data (including attribute information and warehousing entry information, for example) of a material to be warehoused by using a material image. In fact, the warehousing entry information of the materials to be warehoused can also be obtained in an image identification mode, namely, in specific implementation, a worker in a warehouse can sequentially collect the material image and the warehousing entry image, or collect the image containing the materials to be warehoused and the warehousing entry at one time, then identify the attribute information of the materials and the warehousing entry information through an image identification technology, and then display the attribute information and the warehousing entry information in an associated mode so as to facilitate the worker to check and/or make corresponding operation. Specifically, referring to fig. 13, the data processing method provided in this embodiment includes:

901. determining attribute information of the materials to be put in storage according to the material images of the materials to be put in storage;

902. determining warehousing entry information according to the warehousing entry image of the material to be warehoused;

903. and displaying the attribute information and the warehousing bill information in an associated manner so as to wait for warehousing processing aiming at the materials to be warehoused.

In the step 901, a graph searching technology may be adopted, a target image meeting the requirement of the matching degree with the material image is searched first, and then the attribute information of the data to be put into the warehouse is obtained according to the target image.

In 902, text recognition technology, specifically, an optical character recognition mode, may be adopted to recognize the characters on the warehousing entry to obtain the information of the warehousing entry.

For more details about the

above steps

901 and 902, reference may be made to the corresponding descriptions in the above embodiments, which are not described herein again.

904. responding to image acquisition operation of a user, and acquiring an acquired image containing the material to be warehoused and the warehousing order;

903. and segmenting the collected image to obtain the material graph and the warehousing entry image.

For the image segmentation technique, reference may be made to the related contents in the prior art, and details are not described herein.

Similarly, the content of some steps in this embodiment that are not detailed may be referred to the corresponding description in the above embodiments, and will not be described herein again. In addition, the method provided by the embodiment may include other steps in the above embodiment besides the steps described above.

As can be seen from the contents of the above embodiments, the technical solution provided by the present application manages the warehousing of the materials by using an image processing technology (specifically, such as an image recognition technology), so as to implement the digital management of the warehousing of the materials; the method has the advantages that the operation of identifying, inputting and the like of the related documents of the materials (such as warehousing documents) by personnel is not needed, the manual identification of the materials is also not needed, the attribute information of the materials can be directly determined according to the material images, the acquisition and confirmation work of the target document information and the material attribute information corresponding to the materials can be rapidly and accurately completed, and the processing efficiency of processing tasks such as warehousing the materials is effectively improved. In a word, by adopting the technical scheme provided by each embodiment of the application, the error rate of many links (such as material identification, manual input of a warehousing entry and the like) is reduced, the material management data is more accurate, and the material is more flexibly allocated.

In fact, the technical scheme provided by the application is optimized on an operation interface, and is simple to operate. The following describes an interface operation flow corresponding to the scheme provided by this embodiment from two specific scenarios.

The scenario illustrated with reference to fig. 14 is a receiving scenario map link. As shown in the first interface 11 of fig. 14, some prompt messages are displayed on the first interface 11, such as "please place the material at the designated shooting position", "the material is put right, the angle is avoided", "the target length ratio needs to exceed 50%", and so on. The user may click on the "confirm take" control in the first interface 11 to trigger a take event for the material. The first interface 11 may be a window displayed on the user interface.

After the photographing is completed and the material image is obtained, the system pushes at least one SKU based on the material image; such as the second interface 12 in fig. 14 (the same second interface 12 may also be a window displayed on the user interface). Referring to FIG. 14, at least one candidate SKU (e.g., the candidate SKU for top 5) obtained using the graph-searching technique based on the item image is displayed on the second interface 12.

If the user views the SKU displayed on the second interface 12 and matches, the user can click the 'confirm match' control on the second interface 12 and then jump to display the third interface 13; the third interface 13 displays associated information (e.g., source order number) corresponding to the matching target SKU selected by the user. The user may click on the "confirm" control on the third interface 13 and enter the fourth interface 14. And is used to maintain new product information at the fourth interface 14. The user can maintain the new product information through the fourth interface 14, for example, fill in corresponding contents according to the filling-in boxes on the fourth interface 14, such as a first-class classification, a second-class classification, a third-class classification, whether the weight can be referred to, the weight, the weighing amount, the material image, and the like. After the user finishes filling, clicking the 'determination' control, and finishing warehousing of the new material.

If the user views none of the SKUs displayed on the second interface 12 that match, the "no match" control on the second interface 12 can be clicked to enter the fifth interface 15. In the fifth interface 15, a plurality of filling boxes are displayed, and the user can manually fill the content corresponding to each filling box, such as "type of delivery", "name of supplier", "number of source document", and the like. After completing the fill and clicking on the "confirm," the system will retrieve at least one candidate SKU based on what the user filled in. At least one candidate SKU is displayed on the sixth interface 16 and the user, upon selecting one SKU from the selection, proceeds to the fourth interface 14.

Here, it should be noted that: the third interface, the fourth interface, the fifth interface and the sixth interface can be windows of corresponding user interfaces.

The scenario illustrated with reference to fig. 15 is a pre-sort scenario map search link. The user may first enter a pre-sort racking interface 17 as in fig. 15. The user may bring up the first interface 11 as in fig. 15 through the "photo recognition" control on the pre-sort listing interface 17. The process from the first interface 11, through the second interface 12 and the third interface 14, to the fourth interface 14 is the same as described above, and is not repeated here.

In addition, in the pre-sorting scene graph search link shown in fig. 15, the user can edit the receiving quantity, the inter-unit weight, and the like of the pre-sorting shelving material (such as accessories — buttons) through the "edit" control on the pre-sorting shelving interface 17.

Fig. 16 shows a schematic structural diagram of a data processing apparatus according to an embodiment of the present application. As shown in fig. 16, the data processing apparatus includes: a first obtaining module 131, a determining module 132, a second obtaining module 133 and an executing module 134. The first obtaining module 131 is configured to obtain an image of the material. A determining module 132, configured to determine attribute information of the material based on the material image. A second obtaining module 133, configured to obtain target document information associated with the material. And the execution module 134 is configured to execute a processing task for the material according to the target document information and the attribute information.

Further, the determining module 132 is configured to determine, according to the material image, a target image matched with the material image; and acquiring attribute information corresponding to the target image.

Further, the determining module 132 is further configured to send the material image to a server, so that the server searches for at least one candidate image that meets the requirement of the matching degree with the material image; acquiring and displaying the at least one candidate image; and in response to a confirmation operation triggered by a user for a candidate image, taking the candidate image confirmed by the user as the target image.

The first obtaining module 131 is configured to obtain the material image input by the user in response to an input operation of the user; or, the system is used for triggering the image acquisition device to work in response to an image acquisition instruction triggered by a user so as to acquire the material image.

Further, the second obtaining module 133 is configured to perform text recognition on the material receipt associated with the material to obtain a recognition result; and determining the target bill information according to the identification result.

Further, the second obtaining module 133 is further configured to trigger the collection and identification device to start in response to a collection and identification instruction triggered by the user, so as to perform text identification on the material documents in the collection area, and obtain the identification result.

Further, the second obtaining module 133 is configured to query, according to the attribute information, at least one candidate document information in the document library, where the candidate document information meets the association requirement with the material; displaying the at least one candidate document information; and responding to a selection operation triggered by a user aiming at least one candidate bill information, and taking the candidate bill information selected by the user as the target bill information.

Further, the executing module 134 is configured to display at least part of the content in the target document information and the attribute information; and responding to confirmation operation triggered by the user aiming at the displayed content, and confirming the target receipt information so as to modify the state corresponding to the target receipt information.

Here, it should be noted that: the information processing apparatus provided in the foregoing embodiment may implement the technical solutions described in the foregoing corresponding method embodiments, and the principles and beneficial effects of the specific implementation of each module or unit may refer to the corresponding contents in the foregoing corresponding method embodiments, which are not described herein again.

Fig. 17 shows a schematic structural diagram of a data processing apparatus according to an embodiment of the present application. As shown in fig. 17, the data processing apparatus includes: a generating module 141, a determining module 142 and an executing module 143. The generating module 141 is configured to generate document information according to the document image. And the determining module 142 is configured to determine attribute information of the material according to the material image. And the executing module 143 is configured to execute a processing task for the material according to the attribute information and the receipt information.

Further, the generating module 141 is configured to identify the document image in an optical character identification manner to obtain an identification result; and generating the bill information based on the identification result. A determining module 142, configured to determine, according to the material image, a target image matched with the material image; and acquiring attribute information corresponding to the target image.

Further, the determining module 142 is further configured to send the material image to a server, so that the server searches for at least one candidate image that meets the requirement of the matching degree with the material image; acquiring and displaying the at least one candidate image; and in response to a confirmation operation triggered by a user for a candidate image, taking the candidate image confirmed by the user as the target image.

Further, the data processing apparatus provided in this embodiment further includes an obtaining module 144, configured to obtain a collected image containing the material and the document; and segmenting the collected image to obtain the document image and the material image.

Here, it should be noted that: the data processing apparatus provided in the foregoing embodiment may implement the technical solutions described in the foregoing corresponding method embodiments, and the principles and beneficial effects of the specific implementation of each module or unit may refer to the corresponding contents in the foregoing corresponding method embodiments, which are not described herein again.

According to the technical scheme provided by the embodiment, the attribute information and the receipt information corresponding to the material can be obtained directly according to the material image and the receipt image; and then executing processing tasks aiming at the material, such as warehousing processing or verification processing and the like, according to the bill information and the attribute information of the material. By adopting the technical scheme provided by the embodiment, the personnel is not required to identify and input the material-related receipt, the manual identification of the material is also not required, the attribute information of the material can be directly determined according to the material image, the acquisition and confirmation work of the target receipt information and the material attribute information corresponding to the material can be quickly and accurately completed, and the processing efficiency of processing tasks such as material warehousing is effectively improved.

Fig. 18 shows a schematic structural diagram of a data processing apparatus according to an embodiment of the present application. As shown in fig. 18, the data processing apparatus includes: an acquisition module 161 and a presentation module 162. The acquiring module 161 is configured to acquire a material image of a material to be warehoused; and acquiring management data related to the materials to be put in storage according to the material images. The display module 162 is configured to display the management data to wait for the warehousing processing of the material to be warehoused.

Further, the apparatus provided in this embodiment further includes an update module. The updating module is used for responding to the operation of the user on the management data and updating the management data according to the user operation data.

Further, when the obtaining module 161 obtains the management data related to the material to be put into storage according to the material image, it is specifically configured to: carrying out image recognition on the material image to obtain a recognition result; and acquiring management data related to the materials to be put in storage according to the identification result.

Further, when the obtaining module 161 obtains the management data related to the material to be put into storage according to the material image, it is specifically configured to:

searching at least one candidate image which meets the requirement of matching degree with the material image according to the material image;

presenting the at least one candidate image;

in response to a selection operation of the at least one candidate image by a user, determining a selected candidate image;

and determining management data related to the materials to be put in storage according to the selected candidate images.

Further, when the obtaining module 161 searches for at least one candidate image meeting the requirement of the matching degree with the material image according to the material image, it is specifically configured to: sending the material image to a server, so that the server searches out at least one candidate image which meets the requirement of matching degree with the material image based on the material image; and receiving the at least one candidate image fed back by the server.

Further, the management data includes: the warehousing bill information of the materials to be warehoused and the attribute information of the materials to be warehoused.

Fig. 19 shows a schematic structural diagram of a data processing apparatus according to an embodiment of the present application. As shown in fig. 19, the data processing apparatus includes: a determination module 171 and a display module 172. The determining module 171 is configured to determine attribute information of the material to be warehoused according to the material image of the material to be warehoused; and determining warehousing entry information according to the warehousing entry image of the material to be warehoused. The display module 172 is configured to display the attribute information and the warehousing entry information in an associated manner to wait for warehousing processing of the material to be warehoused.

Further, when determining the warehousing entry information according to the warehousing entry image of the material to be warehoused, the determining module 171 is specifically configured to: and performing text recognition on the warehousing entry image to obtain the warehousing entry information.

Further, the apparatus provided in this embodiment may further include an obtaining module and a dividing module. The acquisition module is used for responding to image acquisition operation of a user and acquiring an acquired image containing the material to be put in storage and the storage list. The segmentation module is used for segmenting the collected image to obtain the material graph and the warehousing entry image.

Fig. 20 shows a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 20, the electronic device includes a memory 1101 and a processor 1102. The memory 1101 may be configured to store other various data to support operations on the electronic device. Examples of such data include instructions for any application or method operating on the electronic device. The memory 1101 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

Specifically, the memory 1101 is used for storing programs; the processor 1102, coupled to the memory, is configured to execute the program stored in the memory 1101 to:

acquiring a material image;

determining attribute information of the material based on the material image;

acquiring target bill information associated with the material;

When the processor 1102 executes the program in the memory 1101, the processor 1102 may also implement other functions in addition to the above functions, which may be specifically referred to the description of the foregoing embodiments.

Further, as shown in fig. 20, the electronic apparatus further includes: communication components 1103, display 1104, power components 1105, audio components 1106, image capture device 1107, among other components. Only some of the components are schematically shown in fig. 20, and it is not meant that the electronic device includes only the components shown in fig. 20.

Yet another embodiment of the present application provides another electronic device, which has a structure similar to that of fig. 20. Specifically, the electronic device comprises a memory and a processor; wherein the content of the first and second substances,

the memory is used for storing programs;

generating document information according to the document image;

When the processor executes the program in the memory, the processor may implement other functions in addition to the above functions, which may be specifically referred to the description of the foregoing embodiments.

Yet another embodiment of the present application provides another electronic device, which has a structure similar to that of fig. 18. Specifically, the electronic device comprises a memory, a processor and a display; wherein the content of the first and second substances,

the memory is used for storing programs;

acquiring a material image of a material to be put in storage;

the memory is used for storing programs;

Accordingly, the present application further provides a computer-readable storage medium storing a computer program, where the computer program can implement the steps or functions of the data processing method provided in the foregoing embodiments when executed by a computer.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims

1. A data processing method, comprising:

acquiring a material image;

determining attribute information of the material based on the material image;

acquiring target bill information associated with the material;

2. The method of claim 1, wherein determining attribute information for the material based on the image of the material comprises:

determining a target image matched with the material image according to the material image;

and acquiring attribute information of the material corresponding to the target image.

3. The method of claim 2, wherein determining, from the material image, a target image that matches the material image comprises:

sending the material image to a server side so that the server side searches out at least one candidate image which meets the requirement of matching degree with the material image;

acquiring and displaying the at least one candidate image;

4. The method of any one of claims 1 to 3, wherein acquiring an image of the material comprises:

responding to the input operation of a user, and acquiring the material image input by the user; or

And collecting the material image in response to an image collection instruction triggered by a user.

5. The method of any one of claims 1 to 3, wherein obtaining target document information associated with the material comprises:

performing text recognition on the material bill associated with the material to obtain a text recognition result;

and determining the target bill information according to the text recognition result.

6. The method of any one of claims 1 to 3, wherein obtaining target document information associated with the material comprises:

inquiring at least one candidate receipt information meeting the association requirement with the material in a receipt library according to the attribute information;

displaying the at least one candidate document information;

and responding to a selection operation triggered by a user aiming at least one candidate bill information, and taking the candidate bill information selected by the user as the target bill information.

7. The method of any of claims 1 to 3, wherein performing a processing task for the material based on the target document information and the attribute information comprises:

displaying at least part of contents in the target receipt information and the attribute information;

and responding to confirmation operation triggered by the user aiming at the displayed content, and confirming the target receipt information so as to modify the state corresponding to the target receipt information.

8. The method of any one of claims 1 to 3, further comprising:

displaying the target receipt information and the attribute information;

and in response to the modification operation of the user aiming at least one item of the target bill information and the attribute information, determining the modified target bill information and/or the attribute information.

9. The method of claim 8, further comprising:

10. A data processing method, comprising:

generating document information according to the document image;

11. The method of claim 10, wherein generating document information from a document image comprises:

and identifying the bill image by adopting an optical character identification mode to obtain the bill information.

12. The method of claim 10, wherein determining attribute information for the material based on the image of the material comprises:

13. The method of claim 12, wherein determining, from the material image, a target image that matches the material image comprises:

acquiring and displaying the at least one candidate image;

14. The method of any of claims 10 to 13, further comprising:

acquiring an acquired image containing materials and documents;

and segmenting the collected image to obtain the document image and the material image.

15. A data processing system, comprising:

16. The system of claim 15,

the server side equipment is used for searching at least one candidate image which meets the requirement of the matching degree with the material image and the attribute information of the material corresponding to the candidate image according to the material image; sending the at least one candidate image and the attribute information of the material corresponding to the candidate image to the client device;

the client device is further configured to display the at least one candidate image, and respond to a confirmation operation triggered by a user for a candidate image, and use attribute information of a material corresponding to the candidate image confirmed by the user as attribute information of the material corresponding to the material image.

17. A data processing system, comprising:

18. A data processing method, comprising:

acquiring a material image of a material to be put in storage;

19. The method of claim 18, further comprising:

and responding to the operation of the user on the management data, and updating the management data according to the user operation data.

20. The method according to claim 18 or 19, wherein acquiring management data related to the material to be warehoused according to the material image comprises:

carrying out image recognition on the material image to obtain a recognition result;

and acquiring management data related to the materials to be put in storage according to the identification result.

21. The method according to claim 20, wherein acquiring management data related to the material to be warehoused according to the material image comprises:

presenting the at least one candidate image;

22. The method of claim 20, wherein searching for at least one candidate image that meets a matching requirement with the material image according to the material image comprises:

sending the material image to a server, so that the server searches out at least one candidate image which meets the requirement of matching degree with the material image based on the material image;

and receiving the at least one candidate image fed back by the server.

23. The method according to claim 18 or 19, wherein the management data comprises: the warehousing bill information of the materials to be warehoused and the attribute information of the materials to be warehoused.

24. A data processing method, comprising:

25. The method according to claim 24, wherein determining warehousing entry information according to the warehousing entry image of the material to be warehoused comprises:

and performing text recognition on the warehousing entry image to obtain the warehousing entry information.

26. The method of claim 24 or 25, further comprising:

responding to image acquisition operation of a user, and acquiring an acquired image containing the material to be warehoused and the warehousing order;

and segmenting the collected image to obtain the material graph and the warehousing entry image.

27. An electronic device comprising a memory and a processor; wherein the content of the first and second substances,

the memory is used for storing programs;

acquiring a material image;

determining attribute information of the material based on the material image;

acquiring target bill information associated with the material;

28. An electronic device comprising a memory and a processor; wherein the content of the first and second substances,

the memory is used for storing programs;

generating document information according to the document image;

29. An electronic device, comprising: a memory, a processor and a display; wherein the content of the first and second substances,

the memory is used for storing programs;

acquiring a material image of a material to be put in storage;

30. An electronic device, comprising: a memory, a processor and a display; wherein the content of the first and second substances,

the memory is used for storing programs;