CN113298453A - Data processing method and system and electronic equipment - Google Patents

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, system and electronic device

technical field

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

Background technique

With the development of computers and related intelligent technologies, more and more intelligent manufacturing technologies and intelligent manufacturing systems have been applied to the manufacturing process. For example, in response to supply-side reforms, an intelligent logistics supply chain has been created, and small orders can be quickly responded to and extremely flexible. Supply chain construction.

In the manufacturing industry, material procurement and receipt management are directly related to the smooth progress of manufacturing. In the prior art, materials are circulated in the form of a bill of materials from procurement, to receipt, to management. The warehousing, storage and delivery of materials are mainly managed offline. Among them, the receiving and warehousing process mainly relies on manual material identification, which is prone to identification errors, and the identification efficiency is low, making it difficult to meet the fast and accurate requirements of intelligent manufacturing. response needs.

SUMMARY OF THE INVENTION

In order to solve or improve the problems existing in the prior art, various 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 includes:

Get material images;

Based on the material image, determine attribute information of the material;

Obtain the target document information associated with the material;

According to the target document information and the attribute information, the processing task for the material is executed.

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

Generate document information according to the document image;

According to the material image, determine the attribute information of the material;

According to the attribute information and the document information, the processing task for the material is executed.

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

The client device is used to obtain the material image; obtain the attribute information of the material corresponding to the material image from the server device; obtain the target document information associated with the material; according to the target document information and the attribute information, execute the the processing tasks of the material;

The server device has an image search function for searching and feeding back attribute information of the corresponding material according to the material image sent by the client device.

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

The client device is used to generate document information according to the document image; send the material image to the server device to obtain attribute information of the material corresponding to the material image from the server device; Describe the processing tasks of the material;

The server device has an image search function for searching and feeding back attribute information of the corresponding material according to the material image sent by the client device.

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

Get the material image of the material to be put into storage;

According to the material image, obtain management data related to the material to be put into storage;

The management data is displayed to wait for the warehousing process for the material to be warehousing.

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

According to the material image of the material to be put into storage, determine the attribute information of the material to be put into storage;

Determine the information of the inbound order according to the inbound order image of the material to be warehoused;

The attribute information and the warehousing order information are displayed in association to wait for warehousing processing for the material to be warehousing.

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

the memory for storing programs;

The processor, coupled to the memory, executes the program stored in the memory for:

Get material images;

Based on the material image, determine attribute information of the material;

Obtain the target document information associated with the material;

According to the target document information and the attribute information, the processing task for the material is executed.

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

the memory for storing programs;

The processor, coupled to the memory, executes the program stored in the memory for:

Generate document information according to the document image;

According to the material image, determine the attribute information of the material;

According to the attribute information and the document information, the processing task for the material is executed.

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

the memory for storing programs;

The processor, coupled to the memory, executes the program stored in the memory for:

Get the material image of the material to be put into storage;

According to the material image, obtain management data related to the material to be put into storage;

The display is instructed to display the management data in order to wait for a stock-in process for the material to be stock-in.

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

the memory for storing programs;

The processor, coupled to the memory, executes the program stored in the memory for:

According to the material image of the material to be put into storage, determine the attribute information of the material to be put into storage;

Determine the information of the inbound order according to the inbound order image of the material to be warehoused;

Instructs to associate and display the attribute information and the storage order information, so as to wait for the storage processing for the material to be stored.

In the technical solution provided by the embodiment of the present application, after the image of the material to be put into storage is obtained, the attribute information corresponding to the material is determined by means of image recognition; at the same time, the target document information associated with the material can also be obtained; and then according to the target document Information and material attribute information, and perform processing tasks for the material, such as warehousing processing or verification processing. With the technical solution provided in this embodiment, there is no need for personnel to perform operations such as identification and input of material-related documents, and there is no need to manually identify the material. The attribute information of the material can be directly determined according to the material image, and the material correspondence can be completed quickly and accurately. The acquisition and confirmation of target document information and material attribute information can effectively improve the processing efficiency of processing tasks such as material warehousing.

Description of drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the accompanying drawings used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description These are some embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without any creative effort.

FIG. 1a is a schematic flowchart of a data processing method provided by an embodiment of the present application;

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

Fig. 1c is a schematic diagram of the material image displayed after the user triggers and confirms the photographing through the interactive interface;

FIG. 2 is a schematic diagram of a confirmation receipt information interface provided by an embodiment of the present application;

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

4 is a schematic flowchart of a method for determining a target image provided by an embodiment of the present application;

5 is a schematic flowchart of a method for acquiring target document information provided by an embodiment of the present application;

6 is a schematic flowchart of another method for acquiring target document information provided by an embodiment of the present application;

7 is a schematic flowchart of another data processing method provided by an embodiment of the present application;

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

9 is a schematic diagram of document information provided by an embodiment of the present application;

FIG. 10 is a schematic diagram of signaling interaction provided by an embodiment of the present application;

FIG. 11 is a schematic diagram of a client operation process provided by an embodiment of the present application;

12 is a schematic flowchart of a data processing method provided by another embodiment of the present application;

13 is a schematic flowchart of a data processing method provided by another embodiment of the present application;

14 is a schematic diagram of a graph search link in a receiving scene provided by an embodiment of the application;

15 is a schematic diagram of a pre-sort scene graph search link provided by an embodiment of the present application;

16 is a schematic structural diagram of a data processing apparatus provided by an embodiment of the present application;

17 is a schematic structural diagram of a data processing apparatus provided by another embodiment of the present application;

FIG. 18 is a schematic structural diagram of a data processing apparatus provided by another embodiment of the present application;

FIG. 19 is a schematic structural diagram of a data processing apparatus provided by 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 ways

In the existing procurement and receiving process, the buyer and the receiver do not work closely together. For example, the purchaser generates the purchase receipt document and the corresponding purchase list through the purchaser's system. The supplier ships the goods to the consignee according to the purchase list. When the goods arrive at the consignee's warehouse, after the warehouse staff gets the purchase list, they need to operate on the warehouse management system (such as inputting the purchase order number to find the corresponding storage order), and then use manual verification to treat it. The name, code, quantity, color and other information of the inbound goods are verified. When it is verified that the information of the goods to be inbound is consistent with the information of the inbound document, a confirmation operation for the inbound document can be triggered on the system to confirm the operation. Afterwards, the corresponding status of the receipt document changes from "Not Received" to "Received". During the whole process, the staff need to manually input the order number to find the corresponding storage order; they also need to identify the attribute information of the goods (such as color, shape, size, etc.). In this process, the material identification mainly depends on the staff, which is prone to identification errors and low identification efficiency.

Therefore, the present application provides the following embodiments to solve or partially solve the problems existing in the prior art. In order to make those skilled in the art better understand the solutions of the present application, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application.

Some of the processes described in the specification, claims, and above-mentioned figures of the present application contain operations that occur in a particular order, and the operations may be performed out of the order in which they are presented herein or in parallel. The sequence numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the sequence numbers themselves do not represent any execution order. Additionally, these flows may include more or fewer operations, and these operations may be performed sequentially or in parallel. It should be noted that the descriptions such as "first" and "second" in this document are used to distinguish different messages, devices, modules, etc., and do not represent a sequence, nor do they limit "first" and "second" are different types. In addition, the embodiments described below are only a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative efforts shall fall within the protection scope of this application.

FIG. 1a is a schematic flowchart of a data processing method provided by an embodiment of the present application. The execution 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, personal digital assistant), a smart wearable device, etc., which is not specifically limited in this embodiment. Specifically, the method includes the following steps:

101. Obtain a material image;

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

103. Obtain target document information associated with the material;

104. Execute a processing task for the material according to the target document information and the attribute information.

In the above 101, the material image may be acquired by an image acquisition device (such as a camera). The image acquisition device has the function of taking pictures or video, and can be, but not limited to, a video camera, a video recorder, a camera, and the like. The execution body of the method in this embodiment may be provided with an image acquisition device, and the user can trigger the image acquisition device to work through controls on the touch device or through voice control to acquire material images. Alternatively, the image acquisition device and the execution body of the method in this embodiment are two independent devices, and the two devices are connected in communication, and the user can send corresponding control instructions to the image acquisition device through the execution body of the method in this embodiment to control the image The collection device works to collect material images. As shown in the interactive interface 1 shown in Figure 1b, the user can trigger to take a picture of the material by clicking the "Confirm Photo" control. Of course, the material image can also be input or imported by the user. That is, the step 101 of "acquiring material images" may specifically include the following steps: acquiring the material images input by the user in response to the user's input operation; or acquiring the material images in response to an image acquisition instruction triggered by the user. Referring to FIG. 1 c , the collected material image can be displayed on the interactive interface 1 . If the user feels dissatisfied with the material image, he can trigger the material to be re-photographed by clicking the "re-photograph" control.

What needs to be added here is that the attribute information of the material is determined only based on the image of one angle of the material, which may have a problem of low accuracy. For example, because of the light factor, the color recognition of the material is wrong. For this purpose, images from multiple angles of the material can be captured, and it can also be video. The video can be collected continuously from different angles of the material.

In the above 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 storage quantity (or purchase quantity), and the like. For incoming materials, the attribute information of the material can be the SKU (stock keep unit, stock keeping unit) of the material. A SKU is the smallest unit of stock that is physically inseparable.

In the above 103, the target document information associated with the material may have different expressions or names in different application scenarios. In the material procurement scenario, the document information is purchase order information, and the purchase order information contains at least one attribute information (such as SKU) of the material to be purchased. The material to be purchased here is associated with the purchase order information. In the material warehousing scenario, the document information is the warehousing doc information, and the warehousing doc information contains at least one attribute information (such as SKU) of the material to be warehousing; the same material to be warehousing is associated with the warehousing doc information.

In practical applications, there can be more than one target document information associated with a material. For example, if a batch of buttons with the same SKU is divided into two storages, there will be two corresponding storage slips. In this case, there are two target document information associated with the button.

The acquisition methods of the target document information in step 103 in this embodiment may include but are not limited to the following two ways: one is to use the attribute information of the material to find the associated target document information from the document database; the premise of using this method is that the material corresponds to The document information has been stored in the document database. Another is to generate target document information based on document images. Taking the warehousing scenario as an example, the warehousing material and the warehousing document are usually delivered to the warehouse together. When the warehouse staff receives the inbound materials, in addition to seeing the physical object, they can also see the paper inbound order. At this time, the image of the inbound document can be collected, and then the content of the inbound document can be identified through the recognition technology to generate the target document information associated with the inbound material delivered with it.

If the method provided in this embodiment is applied in a warehouse management scenario, the processing task performed for the material in the above 104 may be specifically: after the staff completes the SKU verification of the material, confirm the storage operation for the material, and the material The status of the corresponding target document information changes to "Inbound". That is, the staff can complete the warehousing of materials through the "warehousing" operation on the operation display interface. That is, step 104 "According to the target document information and the attribute information, execute the processing task for the material" may be specifically:

1041. Display at least part of the target document information and the attribute information;

1042. In response to the confirmation operation triggered by the user for the displayed content, perform confirmation processing on the target document information to modify the state corresponding to the target document information.

Through the above-mentioned embodiment, after obtaining the target document information and attribute information having an associated relationship with the material, at least part of the content of the information is displayed on the client side. For example, FIG. 2 is a schematic diagram of an interface for confirming receipt information provided by an embodiment of the present application. In this interface, the material image, target document information (such as source document number), and attribute information (such as: receipt type, supplier information, receipt time, material model, material color, etc.) are displayed. The receiving personnel check the above information item by item. If there is no problem in the check, the receipt can be confirmed, and the relevant document information of the material will become received or put into storage. In the above process, there is no need to manually fill in the inventory receipt, material attribute information, etc., thereby reducing the risk of errors in manual filling.

In the technical solution provided by this embodiment, after the image of the material to be received is acquired, the attribute information corresponding to the material is determined by means of image recognition; at the same time, the target document information associated with the material can also be obtained; and then according to the target document information and material attribute information, and perform processing tasks for the material, such as warehousing processing or verification processing. With the technical solution provided in this embodiment, there is no need for personnel to perform operations such as identification and input of material-related documents, and there is no need to manually identify the material. The attribute information of the material can be directly determined according to the material image, and the material correspondence can be completed quickly and accurately. The acquisition and confirmation of target document information and material attribute information can effectively improve the processing efficiency of processing tasks such as material warehousing.

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

1021. Determine a target image matching the material image according to the material image;

1022. Acquire attribute information of the material corresponding to the target image.

In the above 1021, a target image that matches the material image may be searched for by using the image search technology. For example, after acquiring the material image, the execution body of the method in this embodiment searches for the target image matching the material image from the local gallery by using the image search technology. This requires the image of the material to be pre-stored locally. Of course, there may be one or multiple images matching the material image (hereinafter collectively referred to as candidate images) searched out. Among them, image search by image is a technique of finding images in the gallery that meet the matching requirements by searching image text or visual features. The image search technology is roughly divided into three parts: feature extraction, retrieval engine, and search result sorting. Specifically, the feature information of the material image is extracted; then the feature information is sent to the retrieval engine, and at least one candidate image that meets the matching requirements is retrieved from the established retrieval results through the retrieval engine; assuming that there are multiple candidate images retrieved, Then multiple candidate images will be sorted. The sorting rules depend on specific design requirements, which are not limited in this embodiment.

In an achievable technical solution, this step 1021 may be specifically:

displaying at least one candidate image that meets the matching requirements with the material image;

In response to a user-triggered confirmation operation for a candidate image, the candidate image confirmed by the user is used as the target image.

Referring to the example shown in FIG. 3 , the interactive interface 1 displays three candidate images that meet the matching requirements with the material image 2 . The user can complete the entire confirmation process by clicking the click operation key corresponding to the corresponding candidate image, and then clicking the "confirm" control on the interactive interface 1. In the example shown in Fig. 3, the user clicks the click operation key on the left side of the first candidate image 3, the click operation key changes color, and then the user can click the "Confirm" control to change the first The candidate image 3 is confirmed as the target image. After the confirmation, the user can jump to the "Please select to confirm receipt information" page shown in Figure 2. If the user clicks the "result does not match" control, it will jump to the page for creating blank document information, and the user needs to manually create the corresponding document information. This process is convenient to the existing technology. If the user clicks the "return" control, the user returns to a specified page, such as the document list management page of the document management system, which is not specifically limited in this embodiment.

In addition to local search, material images can also be sent to the server for search by the server. The server may be a server, a server cluster, a virtual server, or a cloud device, etc., which is not specifically limited in this embodiment. Specifically, as shown in FIG. 4 , the above step 1021 may specifically include the following steps:

S11, sending the material image to the server, so that the server searches for at least one candidate image that meets the matching degree requirement with the material image;

S12, acquiring and displaying the at least one candidate image;

S13. In response to a confirmation operation triggered by the user for a candidate image, use the candidate image confirmed by the user as the target image.

The above-mentioned "meeting the matching degree requirement" may specifically mean that the matching degree value (or similarity value) of the two images is greater than the threshold value. For example, the solution of this embodiment is applied in a warehouse storage scenario, and the above-mentioned server can be connected with the procurement system, for example, the image of the purchased materials stored in the procurement system can be obtained from the corresponding equipment of the procurement system. In addition, in order to improve the calculation accuracy, reduce the search range of the server, and reduce the amount of calculation, the server can collect all the purchased materials that have been ordered by the current buyer but have not yet been received to form an image collection of purchased materials; The server only looks in this collection. If the number of candidate images is relatively large, in order to reduce the difficulty of the user's confirmation operation and improve the efficiency of the confirmation operation, all candidate images can be sorted according to the matching degree, and the top 10 or top 5 candidate images can be screened out and displayed to the user through the client.

Further, as mentioned above, there may be various ways to obtain the target document information associated with the material. Figure 5 shows a schematic flowchart of the first method for acquiring target document information. As can be seen from Figure 5, step 103 "obtaining target document information associated with the material" may include the following steps:

1031. Perform text recognition on the material document associated with the material to obtain a recognition result;

1032. Determine the target document information according to the identification result.

In specific implementation, the above step 1031 may be specifically: in response to the collection identification instruction triggered by the user, trigger the collection and identification device to start, so as to perform text recognition on the material documents in the collection area to obtain the recognition result. For example, when the user clicks on the acquisition and identification control on the client, the acquisition and identification device of the client device is activated, and an identification box is displayed on the interface of the client device. The user can point the collection end of the client device to the material document, and move the client device to make the image of the material document in the identification frame. The collection and identification device of the client device identifies the material document in the identification frame to obtain the identification result. Alternatively, the document image is collected by an image acquisition device of the client device or an image acquisition device communicatively connected with the client device, and then OCR (Optical Character Recognition, Optical Character Recognition) technology is used to perform text recognition on the document image to obtain a recognition result.

Through the above embodiment, when acquiring the target document information, it is not necessary for the receiving personnel to manually identify the document, manually enter the document information such as the document number, simplify the personnel work process, avoid personnel operation errors, and also improve the receiving operation process. Work efficiency and material document recognition accuracy.

During specific implementation, users can also place materials and their associated documents together for image capture. For example, place the material next to the document, start the client device or an image capture device connected to the client device, and capture images containing the material and the document. Then, using the image segmentation technology, the image is segmented to obtain the above-mentioned material image and document image. Among them, the image segmentation technology is the technology and process of dividing the image into several specific regions with unique properties and proposing the target of interest. Regarding the content of how to use the image segmentation technology to segment the material image and the document image, this embodiment does not specifically limit this, and reference may be made to the corresponding description in the prior art.

Document information is created by means of text recognition, which does not require users to create manually, which reduces the workload of users and reduces the probability of errors.

Figure 6 is a schematic flowchart of the second method for acquiring target document information. As can be seen from Figure 6, step 103 "obtaining target document information associated with the material" may include the following steps:

1031', according to the attribute information, query the information of at least one candidate document in the document database that meets the associated requirements with the material.

1032': Display the at least one candidate document information.

1033': In response to a selection operation triggered by the user for at least one candidate document information, use a candidate document information selected by the user as the target document information.

In the above 1031', the document database can be stored locally or on the server side. If the document database is stored locally, the execution subject (eg, client device) of the method in this embodiment can search for at least one candidate document information in the locally stored document database according to the attribute information after acquiring the attribute information. Then, the found at least one document information is displayed on the display interface of the client terminal, and further, the user performs a selection operation on the at least one candidate document information to select the target document information. If the document library is stored on the server, the client device needs to send the attribute information to the server, and the server queries and feeds back at least one candidate document information associated with the material found.

In the above 1032', when there are multiple pieces of candidate document information, the display mode of the multiple candidate document information may be a list or a drop-down menu.

Through the above solution, the document information corresponding to the material can be directly queried according to the attribute information of the material, and the user does not need to manually input the search and other work, which reduces the user's workload, improves the work efficiency, and effectively reduces the user's error probability.

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

105. Display the target document information and the attribute information;

106. In response to a user's modification operation on at least one item of the target document information and the attribute information, determine the modified target document information and/or the attribute information.

Modified by the user, indicating that there is a deviation in the process of automatic identification, resulting in an error in the final target document information and/or material attribute information. Therefore, the data modified by the user can be used as a learning sample, which can be used to optimize the algorithm involved in this embodiment. That is, the method provided in this embodiment may further include the following steps:

Taking the modified target document information and/or the attribute information as a learning sample, so as to optimize the corresponding algorithm;

Wherein, the algorithm includes: a first algorithm for recognizing material properties in an image based on an image and/or a second algorithm for performing text recognition on a material document associated with the material.

During specific implementation, the first algorithm may be an image classification model, a feature generation model, an image feature extraction model, etc. that may be involved in the image search technology. These models, such as image classification models, feature generation models, and image feature extraction models, can be implemented based on machine learning techniques (eg, neural network models). The second algorithm may be a character recognition model, and the same character recognition model may be implemented based on a machine learning technology (eg, a neural network model).

Machine learning models (such as neural network models) need to be trained so that their output accuracy can meet the set requirements. The target document information and/or the attribute information modified by the user can be used as a sample to optimize the corresponding algorithm (or model).

Through the statistics of the actual usage data, using the solution provided in this embodiment, the accuracy rate of at least one attribute information (eg SKU) determined based on the material image can reach more than 55%. Of course, the larger the amount of subsequent sample data, the higher the accuracy of each model, and the final accuracy can be greatly improved.

It can be seen from the above that the solution provided by the embodiment of the present application involves using material images to detect materials to obtain SKU information of materials; OCR text recognition can also be used to identify paper documents or electronic document pictures to obtain document information; It can quickly match the corresponding data; it does not require too many manual operations by the user, which improves the efficiency of warehousing or material sorting.

The technical solution provided in this embodiment is suitable for non-standard materials. Such materials do not have barcodes (difficult to digitize). At present, the sales process is highly medical and offline manual communication of document information, and manual identification of the SKU of the receiving or sorting materials. Low efficiency; using the solution provided by this embodiment, the staff takes pictures and uploads the materials through the hardware, the system recognizes the images, and then pushes at least one candidate SKU; the user confirms the material information and associates the source documents to sell the materials; the overall efficiency is significantly improved , it can be realized from the current manual identification of an average of 2 minutes per batch of materials to 30 seconds. In addition, the technical solution provided in this embodiment is highly reproducible, and has the technical conditions for opening a position to be replicated, and does not require great difficulty. If the solution provided in this embodiment is suitable for warehouse management of clothing accessories, the solution provided by this solution can support all categories, such as clothing washing and hanging, buttons, zippers, and decoration.

FIG. 7 is a schematic flowchart of another data processing method provided by an embodiment of the present application. The execution body of this method may be a client device. Specifically, the method includes the following steps:

701. Generate document information according to the document image;

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

703. Execute a processing task for the material according to the attribute information and the document information.

In the above 701 and 702, the document image and the material image may be acquired by the image acquisition device on the client device, respectively, or may be input by the user. Of course, the document image and the material image can also be segmented from one image. For example, as mentioned above, the user can place the material and the document together during image capture, and capture an image; and then use the image segmentation technology to segment the document image and the material image.

In an achievable technical solution, FIG. 8 is a schematic flowchart of a method for generating document information provided by an embodiment of the present application. As can be seen from Figure 8, the above step 701 "generate document information according to the document image" specifically includes the following steps:

7011. Use an optical character recognition method to recognize the document image, and obtain a recognition result;

7012. Based on the identification result, generate the document information.

In the above 7012, the document information can be generated in the preset template according to the recognition result. As an example shown in FIG. 9 , the recognition result obtained by recognizing the document image on the left side of FIG. 9 by optical character recognition technology includes: basic information such as document number, material type, material quantity, etc.; then, the information in the recognition result, The document information on the right side of Figure 9 is generated according to the preset template.

In an achievable technical solution, the above step 702 of "determining the attribute information of the material according to the material image" may include the following steps: according to the material image, determine a target image matching the material image; The attribute information corresponding to the target image.

Further, the step of "determining a target image that matches the material image according to the material image" may include: sending the material image to a server, so that the server can search for a target image that matches the material image. at least one candidate image required by the matching degree; acquiring and displaying the at least one candidate image; in response to a user-triggered confirmation operation for a candidate image, using the candidate image confirmed by the user as the target image.

It should be noted here that: for more detailed content of steps 702 and 703, reference may be made to the corresponding descriptions in the foregoing embodiments, which will not be repeated here. In addition, in addition to the above steps, the method provided in this embodiment may further include other steps in the above embodiments.

For ease of understanding, one of the data processing processes is described below with reference to specific scenarios. FIG. 10 is an interaction flowchart provided by an embodiment of the application, and FIG. 11 is a schematic diagram of a client operation process provided by an embodiment of the application.

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

10 and 11 to illustrate, after the supplier delivers the goods to the warehouse, the consignee's staff unpacks a piece of goods (for example, a button), puts it within the effective shooting range of the image acquisition device, and adjusts it properly. After the appropriate angle and light are obtained, the staff sends a shooting start instruction to the image acquisition device by clicking the camera control in the display interface. At this time, the staff can see the photographing window containing the material image (ie the button image) through the client device 100, and if it is confirmed that the current angle and light meet the photographing conditions, the staff confirms the photographing. The client device 100 sends a photographing instruction to the image acquisition device, and the image acquisition device performs the 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 configured to perform a task of searching for a graph by graph.

After receiving the material image, the first service node preprocesses the material image, and then sends a request for acquiring a gallery to the second service node. The preprocessing performed on the material image may include, but is not limited to, filtering, enhancing, and sharpening the material image to enhance the recognition of the material image. Of course, the preprocessing of the material image can also be done by the client device 100 . The second service node returns the gallery to the first service node. The first service node sends the material image and the gallery to the third service node. The third service node searches the gallery for candidate images that meet the matching requirements based on the material images; and sends the candidate images to the first service node. Specifically, the third service node compares the material image with the images in the gallery to query candidate images whose comparison results meet the requirements. The first service node packages and sends the at least one candidate image after sorting and screening processing and the corresponding attribute information to the client device 100 . The worker may select one candidate image as the target image from the image list on which at least one candidate image is displayed through the client device 100 . Subsequently, the client device 100 acquires and displays at least one document information associated with the target image and the material attribute information corresponding to the target object. During specific implementation, as shown in FIG. 11 , the client device 100 may acquire document information from the device 300 corresponding to the procurement system. The staff selects the document information that matches the material in the list window where the document information is displayed on the client side. Complete the confirmation of the target image and document information, and complete the receipt.

Embodiments of the present application provide a data processing system. Referring to FIG. 11 , the system includes a client device 100 and a server device 200 . in,

The client device 100 is configured to acquire a material image; acquire attribute information of the material corresponding to the material image from the server device; acquire target document information associated with the material; execute the execution according to the target document information and the attribute information processing tasks for the material;

The server device 200 has an image search function for searching and feeding back attribute information of the corresponding material according to the material image sent by the client device.

Further, the server device 200 is configured to, according to the material image, search for at least one candidate image that meets the matching degree requirement with the material image and attribute information of the material corresponding to the candidate image; The attribute information of the material corresponding to the candidate image is sent to the client device. 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, take the attribute information of the material corresponding to the candidate image confirmed by the user as the corresponding material image. Attribute information of the material.

Specifically, for the working process of the client device and the server device in the system, reference may be made to the corresponding content in the foregoing method embodiments, which will not be repeated here. It should be noted that the server device here may be a cloud server or a server cluster, and one server device may correspond to multiple client devices.

The embodiments of the present application provide another data processing system. Similarly, referring to the structure shown in Figure 11, the system includes:

The client device 100 is configured to generate document information according to the document image; send the material image to the server device to obtain attribute information of the material corresponding to the material image from the server device; the processing tasks of the material;

The server device 200 has an image search function for searching and feeding back attribute information of the corresponding material according to the material image sent by the client device.

Specifically, for the working process of the client and the server in the system, reference may be made to the corresponding content in the foregoing method embodiments, which will not be repeated here. It should be noted that the server device here 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 solutions provided by the embodiments of the present application can be widely applied to various fields, and there are fields in which digital management of physical objects is required. For example, digital management of commodities in supermarket warehouses, digital management of goods by warehouse operators, digital management of products in factory warehouses, etc. For example, when a batch of goods in a supermarket warehouse is put into storage, the staff can use the camera of the client device or use the client device to trigger the camera to take pictures of the goods to be put into the warehouse. The client can send the photographed image of the product to the server, and the server can search for at least one candidate image that meets the matching requirements with the image of the product by using the technology of searching for images by image. The client device displays at least one candidate image fed back by the server on the user interface. The user can select a candidate image to confirm. In this way, the client device can obtain the management data of the commodity, such as the SKU of the commodity, the information of the warehouse receipt of the commodity, and the like, based on the selected candidate image (ie, the target image). The client device displays the management data of the product, and after the user completes the verification of the management data, the user can operate the management data through the corresponding controls on the interactive interface, such as confirming the operation.

The following examples will be provided below, which will be described by taking the material storage as an example.

FIG. 12 shows a schematic flowchart of a data processing method provided by another embodiment of the present application. As shown in Figure 12, the method includes:

801. Obtain a material image of the material to be put into storage;

802. Acquire management data related to the material to be stored according to the material image;

803. Display the management data to wait for the storage process for the material to be stored.

For more detailed content of the foregoing step 801, reference may be made to the corresponding descriptions in the foregoing embodiments, which will not be repeated here.

In the above 802, the management data may include, but is not limited to, the SKU of the material, the information of the storage order, and so on. Specifically, this step 802 can be implemented by the following steps:

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

8022. Acquire management data related to the material to be stored according to the identification result.

In a specific implementable solution, the above step 8021 may specifically include:

A. According to the material image, search for at least one candidate image that meets the matching degree requirement with the material image;

B. Displaying the at least one candidate image;

C. In response to the user's selection operation on the at least one candidate image, determine the selected candidate image;

D. According to the selected candidate image, determine the management data related to the material to be put into storage.

The step of searching for candidate images in step A can also be implemented by the server. That is, the above step A may be specifically: sending the material image to the server, so that the server searches for at least one candidate image that meets the matching degree requirement with the material image based on the material image; receiving the service The at least one candidate image fed back by the terminal.

In the above-mentioned step D, the attribute information of the selected candidate image may be obtained first, and then according to the attribute information of the selected image, the storage order information related to the material to be put into storage may be obtained.

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

804. In response to the user's operation on the management data, update the management data according to the user operation data.

Specifically, the update of the management data may include, but is not limited to: update of the warehousing status (such as warehousing or not), update of the attribute information of the material (such as the on-site verification of the quantity of the material and the quantity on the warehousing document) At the same time, the user is modified to the actual verification quantity) and so on.

It should be noted here that: for the non-detailed contents of some steps in this embodiment, reference may be made to the corresponding descriptions in the above-mentioned embodiments, which will not be repeated here. In addition, in addition to the above steps, the method provided in this embodiment may further include other steps in the above embodiments.

The above-mentioned embodiment shown in FIG. 12 is a solution for obtaining management data (eg, including attribute information and storage order information) of materials to be stored by using material images. In fact, the warehousing order information of the materials to be put into storage can also be obtained through image recognition, that is, during the specific implementation, the warehouse staff can sequentially collect the material images and the warehousing order images, or collect the images containing the materials to be put into storage at one time. The image of the material and the storage order, and then identify the attribute information and the storage order information of the material through image recognition technology, and then display the attribute information and the storage order information in association, so that the staff can verify and/or make corresponding operations. Specifically, as shown in FIG. 13 , the data processing method provided in this embodiment includes:

901. Determine attribute information of the material to be stored according to the material image of the material to be stored;

902. Determine the information of the stock-in document according to the stock-in document image of the material to be stocked;

903 . Display the attribute information and the storage order information in an associated manner, so as to wait for storage processing for the material to be put in storage.

In the above 901, the image search technology can be used to first search for a target image that meets the matching degree requirement with the material image, and then acquire attribute information of the data to be stored according to the target image.

In the above 902, a text recognition technology, such as an optical character recognition method, can be used to recognize the text on the storage slip, so as to obtain the storage slip information.

For more detailed content of the foregoing steps 901 and 902, reference may be made to the corresponding descriptions in the foregoing embodiments, which will not be repeated here.

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

904. In response to the user's image acquisition operation, acquire a captured image containing the to-be-warehoused material and the warehousing slip;

903. Segment the collected image to obtain the material graphic and the image of the warehouse receipt.

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

Similarly, for the non-detailed contents of some steps in this embodiment, reference may be made to the corresponding descriptions in the above-mentioned embodiments, which will not be repeated here. In addition, in addition to the above steps, the method provided in this embodiment may further include other steps in the above embodiments.

It can be seen from the above-mentioned embodiments that the technical solution provided by this application utilizes image processing technology (specifically, image recognition technology) to manage the storage of materials, and realizes the digital management of storage of materials; (such as a warehouse receipt) for identification, entry and other operations, and there is no need to manually identify the material, the attribute information of the material can be directly determined according to the material image, and the target document information and material attribute information corresponding to the material can be quickly and accurately completed. Obtaining and confirming work effectively improves the processing efficiency of processing tasks such as material warehousing. In short, using the technical solutions provided by the embodiments of the present application reduces the error rate of many links (such as material identification, manual entry of warehouse receipts, etc.), makes material management data more accurate, and makes material allocation more flexible.

In fact, the technical solution provided by the present application is also optimized on the operation interface, and the operation is simple. The interface operation process corresponding to the solution provided in this embodiment will be described below from two specific scenarios.

Referring to the scene shown in Figure 14, it is the graph search link of the receiving scene. As shown in the first interface 11 shown in Figure 14, some prompt information is displayed on the first interface 11, such as "please place the material in the designated shooting position", "arrange the material to avoid angles", "target length ratio" need more than 50%" and so on. The user can click the "Confirm Photo" control in the first interface 11 to trigger a photo event for the material. The first interface 11 may be a window displayed on the user interface.

After taking a picture to obtain a material image, the system will push at least one SKU based on the material image; as shown in the second interface 12 in Figure 14 (the same second interface 12 can also be a window displayed on the user interface). Referring to FIG. 14 , at least one candidate SKU (such as the candidate SKU of top 5) obtained by using the image search technology based on the material image is displayed on the second interface 12 .

If the user checks that a matching SKU is displayed on the second interface 12, the user can click the "Confirm Match" control on the second interface 12, and then jump to display the third interface 13; The related information (such as source tracking number) corresponding to the matching target SKU. The user may click on the “confirm” control on the third interface 13 to enter the fourth interface 14 . The fourth interface 14 is used to maintain new product information. The user can maintain the new product information through the fourth interface 14, for example, fill in the corresponding content according to the filling box on the fourth interface 14, such as first-class classification, second-class classification, third-class classification, whether the weight can be referenced, weight, weighing weight , weighing quantities, material images, and more. After the user completes the filling, click the "OK" control to complete the warehousing of the new material.

If the user checks all the SKUs displayed on the second interface 12 , and none of the SKUs matches, the user can click the "unmatched" control on the second interface 12 to enter the fifth interface 15 . In the fifth interface 15, a plurality of filling boxes are displayed, and the user can manually fill in the corresponding content of each filling box, such as "receipt type", "supplier name", "source order number" and so on. After completing the filling and clicking "Confirm", the system will obtain at least one candidate SKU based on the content filled in by the user. At least one candidate SKU is displayed on the sixth interface 16 , and after the user selects a SKU, the user enters the fourth interface 14 .

It should be noted here that: the above-mentioned third interface, fourth interface, fifth interface, and sixth interface may all be windows of corresponding user interfaces.

Referring to Figure 15, the scenario shown is a pre-sort scenario graph search link. The user can first enter the pre-sorting and racking interface 17 as shown in FIG. 15 . The user can call up the first interface 11 as shown in FIG. 15 through the “photograph identification” control on the pre-sorting and putting-to-shelf 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 that described above, and will not be repeated here.

In addition, in the pre-sorting scene graph search link shown in Fig. 15, the user can also use the "edit" control on the pre-sorting and placing interface 17 to receive the quantity of the pre-sorting and placing materials (such as accessories - buttons) , single room weight, etc. to edit.

FIG. 16 shows a schematic structural diagram of a data processing apparatus provided by an embodiment of the present application. As shown in FIG. 16 , the data processing apparatus includes: a first acquisition module 131 , a determination module 132 , a second acquisition module 133 and an execution module 134 . Among them, the first acquisition module 131 is used to acquire material images. The determining module 132 is configured to determine attribute information of the material based on the material image. The second acquiring module 133 is configured to acquire target document information associated with the material. The execution module 134 is configured to execute the 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 matching the material image; and acquire attribute information corresponding to the target image.

Further, the determining module 132 is further configured to send the material image to the server, so that the server can search for at least one candidate image that meets the matching degree requirement with the material image; acquire and display the at least one candidate image. A candidate image; in response to a user-triggered confirmation operation for a candidate image, the candidate image confirmed by the user is used as the target image.

The first acquisition module 131 is configured to acquire the material image input by the user in response to the user's input operation; or, in response to an image acquisition instruction triggered by the user, trigger the image acquisition device to work to acquire the material image.

Further, the second acquiring module 133 is configured to perform text recognition on the material document associated with the material to obtain a recognition result; and determine the target document information according to the recognition result.

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

Further, the second obtaining module 133 is configured to query at least one candidate document information in the document database that meets the associated requirements with the material according to the attribute information; display the at least one candidate document information; In the selection operation triggered by the candidate document information, a candidate document information selected by the user is used as the target document information.

Further, the execution module 134 is configured to display the target document information and at least part of the content in the attribute information; in response to a confirmation operation triggered by the user for the displayed content, perform confirmation processing on the target document information to modify The state corresponding to the target document information.

In the technical solution provided by this embodiment, after the image of the material to be received is acquired, the attribute information corresponding to the material is determined by means of image recognition; at the same time, the target document information associated with the material can also be obtained; and then according to the target document information and material attribute information, and perform processing tasks for the material, such as warehousing processing or verification processing. With the technical solution provided in this embodiment, there is no need for personnel to perform operations such as identification and input of material-related documents, and there is no need to manually identify the material. The attribute information of the material can be directly determined according to the material image, and the material correspondence can be completed quickly and accurately. The acquisition and confirmation of target document information and material attribute information can effectively improve the processing efficiency of processing tasks such as material warehousing.

It should be noted here that the information processing apparatus provided by the above-mentioned embodiments can implement the technical solutions described in the above-mentioned corresponding method embodiments, and the specific implementation principles and beneficial effects of the above-mentioned modules or units can be referred to the corresponding content in the above-mentioned corresponding method embodiments. , and will not be repeated here.

FIG. 17 shows a schematic structural diagram of a data processing apparatus provided by 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 . Among them, the generating module 141 is used for generating document information according to the document image. The determining module 142 is configured to determine the attribute information of the material according to the material image. The execution module 143 is configured to execute the processing task for the material according to the attribute information and the document information.

Further, the generating module 141 is configured to identify the document image by means of optical character recognition to obtain a recognition result; and generate the document information based on the recognition result. The determining module 142 is configured to determine, according to the material image, a target image matching the material image; and acquire attribute information corresponding to the target image.

Further, the determining module 142 is further configured to send the material image to the server, so that the server can search for at least one candidate image that meets the matching degree requirement with the material image; acquire and display the at least one candidate image. A candidate image; in response to a user-triggered confirmation operation for a candidate image, the candidate image confirmed by the user is used as the target image.

Further, the data processing device provided in this embodiment further includes an acquisition module 144 for acquiring a captured image containing materials and documents; and dividing the captured image to obtain the document image and the material image.

It should be noted here that the data processing apparatus provided by the above embodiments can implement the technical solutions described in the above corresponding method embodiments, and the specific implementation principles and beneficial effects of the above modules or units can refer to the corresponding content in the above corresponding method embodiments , and will not be repeated here.

In the technical solution provided in this embodiment, the attribute information and document information corresponding to the material can be obtained directly according to the material image and the document image; and then, according to the document information and the attribute information of the material, the processing tasks for the material, such as warehousing processing, are performed. or verification processing, etc. With the technical solution provided in this embodiment, there is no need for personnel to perform operations such as identification and input of material-related documents, and there is no need to manually identify the material. The attribute information of the material can be directly determined according to the material image, and the material correspondence can be completed quickly and accurately. The acquisition and confirmation of target document information and material attribute information can effectively improve the processing efficiency of processing tasks such as material warehousing.

FIG. 18 shows a schematic structural diagram of a data processing apparatus provided by an embodiment of the present application. As shown in FIG. 18 , the data processing apparatus includes: an acquisition module 161 and a display module 162 . The acquisition module 161 is configured to acquire a material image of the material to be put into storage; and according to the material image, obtain management data related to the material to be put into storage. The display module 162 is configured to display the management data, so as to wait for the storage process for the material to be stored.

Further, the apparatus provided in this embodiment further includes an update module. The updating module is configured to update the management data according to the user operation data in response to the user's operation on the management data.

Further, when acquiring the management data related to the material to be put into storage according to the material image, the acquisition module 161 is specifically configured to: perform image recognition on the material image to obtain a recognition result; according to the recognition As a result, management data related to the material to be put into storage is acquired.

Further, when the acquisition module 161 acquires the management data related to the material to be stored according to the material image, it is specifically used for:

According to the material image, searching for at least one candidate image that meets the matching degree requirement with the material image;

presenting the at least one candidate image;

determining the selected candidate image in response to the user's selection operation on the at least one candidate image;

According to the selected candidate image, the management data related to the material to be stored is determined.

Further, when searching for at least one candidate image that meets the matching degree requirement with the material image according to the material image, the acquisition module 161 is specifically configured to: send the material image to the server, so that the The server searches for at least one candidate image that meets the matching degree requirement with the material image based on the material image; and receives the at least one candidate image fed back by the server.

Further, the management data includes: the information of the warehouse receipt of the material to be warehoused, and the attribute information of the material to be warehoused.

It should be noted here that the data processing apparatus provided by the above embodiments can implement the technical solutions described in the above corresponding method embodiments, and the specific implementation principles and beneficial effects of the above modules or units can refer to the corresponding content in the above corresponding method embodiments , and will not be repeated here.

FIG. 19 shows a schematic structural diagram of a data processing apparatus provided by 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 the attribute information of the material to be stored according to the material image of the material to be stored; and determine the information of the storage document according to the image of the storage document of the material to be stored. The display module 172 is configured to display the attribute information and the storage order information in association, so as to wait for storage processing for the material to be stored.

Further, the determining module 171 is specifically configured to: perform text recognition on the image of the inbound order to obtain the inbound order when determining the inbound order information according to the inbound order image of the material to be warehoused information.

Further, the apparatus provided in this embodiment may further include an acquisition module and a segmentation module. Wherein, the acquisition module is configured to acquire the acquired image containing the material to be stored and the storage slip in response to the image acquisition operation of the user. The segmentation module is used for segmenting the collected image to obtain the material graphic and the image of the warehouse receipt.

It should be noted here that the data processing apparatus provided by the above embodiments can implement the technical solutions described in the above corresponding method embodiments, and the specific implementation principles and beneficial effects of the above modules or units can refer to the corresponding content in the above corresponding method embodiments , and will not be repeated here.

FIG. 20 shows a schematic structural diagram of an electronic device provided by 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 various other data to support operations on the electronic device. Examples of such data include instructions for any application or method to operate on the electronic device. Memory 1101 may be implemented by any type of volatile or non-volatile storage device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory (EEPROM), Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Magnetic or Optical Disk.

Specifically, the memory 1101 is used to store a program; the processor 1102 is coupled to the memory and used to execute the program stored in the memory 1101 to:

Get material images;

Based on the material image, determine attribute information of the material;

Obtain the target document information associated with the material;

According to the target document information and the attribute information, the processing task for the material is executed.

Wherein, when the processor 1102 executes the program in the memory 1101, in addition to the above functions, other functions may also be implemented. For details, please refer to the descriptions of the foregoing embodiments.

Further, as shown in FIG. 20 , the electronic device further includes: a communication component 1103 , a display 1104 , a power supply component 1105 , an audio component 1106 , an image capture device 1107 and other components. Only some components are schematically shown in FIG. 20 , which does not mean that the electronic device only includes the components shown in FIG. 20 .

Another embodiment of the present application further provides another electronic device, and the structure of the electronic device is similar to that in FIG. 20 . Specifically, the electronic device includes a memory and a processor; wherein,

the memory for storing programs;

The processor, coupled to the memory, executes the program stored in the memory for:

According to the document image, generate document information;

According to the material image, determine the attribute information of the material;

According to the attribute information and the document information, the processing task for the material is executed.

Wherein, when the processor executes the program in the memory, in addition to the above functions, other functions may also be implemented. For details, please refer to the descriptions of the foregoing embodiments.

Another embodiment of the present application further provides another electronic device, and the structure of the electronic device is similar to that of FIG. 18 . Specifically, the electronic device includes a memory, a processor and a display; wherein,

the memory for storing programs;

The processor, coupled to the memory, executes the program stored in the memory for:

Get the material image of the material to be put into storage;

According to the material image, obtain management data related to the material to be put into storage;

The display is instructed to display the management data in order to wait for a stock-in process for the material to be stock-in.

Wherein, when the processor executes the program in the memory, in addition to the above functions, other functions may also be implemented. For details, please refer to the descriptions of the foregoing embodiments.

Another embodiment of the present application further provides another electronic device, and the structure of the electronic device is similar to that of FIG. 18 . Specifically, the electronic device includes a memory, a processor and a display; wherein,

the memory for storing programs;

The processor, coupled to the memory, executes the program stored in the memory for:

According to the material image of the material to be put into storage, determine the attribute information of the material to be put into storage;

Determine the information of the inbound order according to the inbound order image of the material to be warehoused;

Instructs to associate and display the attribute information and the storage order information, so as to wait for the storage processing for the material to be stored.

Correspondingly, the embodiments of the present application further provide a computer-readable storage medium storing a computer program, and when the computer program is executed by a computer, the steps or functions of the data processing methods provided in the foregoing embodiments can be implemented.

The device embodiments described above are only schematic, wherein the units described as separate components may or may not be separated in material, and the components shown as units may or may not be material units, that is, they may be located in One place, or it can be distributed over multiple network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment. Those of ordinary skill in the art can understand and implement it without creative effort.

From the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and certainly can also be implemented by hardware. Based on this understanding, the above-mentioned technical solutions can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products can be stored in computer-readable storage media, such as ROM/RAM, magnetic A disc, an optical disc, etc., includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the methods described in various 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, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it can still be The technical solutions described in the foregoing embodiments are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions in the embodiments of the present application.

Claims (30)

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;

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

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;

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.

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:

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.

10. A data processing method, comprising:

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.

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:

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.

13. The method of claim 12, 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;

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.

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:

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.

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:

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;

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.

18. A data processing method, comprising:

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.

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:

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.

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:

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.

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 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;

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

28. An electronic device comprising a memory and a processor; wherein,

the memory is used for storing programs;

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

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.

29. An electronic device, comprising: a memory, a processor and a display; wherein,

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

30. An electronic device, comprising: a memory, a processor and a display; wherein,

the memory is used for storing programs;

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

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 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.

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