CN113034182A

CN113034182A - Automatic point integrating method, system, server and storage medium

Info

Publication number: CN113034182A
Application number: CN202110313763.1A
Authority: CN
Inventors: 黎相麟
Original assignee: Shenzhen Kaniu Technology Co ltd
Current assignee: Shenzhen Kaniu Technology Co ltd
Priority date: 2021-03-24
Filing date: 2021-03-24
Publication date: 2021-06-25

Abstract

The invention provides an automatic point integrating method, which is executed by a self-service point integrating terminal and comprises the following steps: acquiring a point request uploaded by a self-service point client, wherein the point request comprises a consumption receipt image; acquiring consumption information based on the consumption receipt image; automatically performing an information filling operation based on the RPA to fill the consumption information into a point calculation table; calculating consumption information in the score table based on a preset rule to generate a score result; and recording the integral result into a preset consumption integral list. The point is filled in through the automatic operation execution of the RPA robot, and the user only needs to upload the receipt picture by self to finish the point and improve the work efficiency of the market, so that the labor cost is reduced, and the customer experience is optimized.

Description

Automatic point integrating method, system, server and storage medium

Technical Field

The embodiment of the invention relates to an integration management method of a computing device, in particular to an automatic integration method, an automatic integration system, a server and a storage medium.

Background

In the commercial activities of a market, value-added service provided for a client is an important means for keeping an old client and starting a new client, wherein the most popular is a point mode, a user carries out point through shopping, obtained points can be exchanged for purchase, preferential discount and the like, and a point system can improve the active retention of the client.

In the existing technical scheme, after a customer purchases and eats in a shopping mall, the customer takes a consumption receipt to a shopping guide table, and points are manually added to a customer point account for staff. Because the efficiency of adding points manually is low, the customer often queues for a long time to carry out the points, thereby wasting the waiting time of the customer and greatly increasing the workload of the staff.

Disclosure of Invention

The invention provides an automatic point integrating method, an automatic point integrating system, a server and a storage medium, wherein point integration filling is executed through automatic operation of an RPA robot, and a user can finish point integration by only uploading a receipt picture by self-help, so that the working efficiency of a market is improved, the labor cost is reduced, and the customer experience is optimized.

In a first aspect, the present invention provides an automatic point-integrating method, executed by a self-service point-integrating terminal, including:

acquiring a point request uploaded by a self-service point client, wherein the point request comprises a consumption receipt image;

acquiring consumption information based on the consumption receipt image;

automatically performing an information filling operation based on the RPA to fill the consumption information into a point calculation table;

calculating consumption information in the score table based on a preset rule to generate a score result;

and recording the integral result into a preset consumption integral list.

Further, the acquiring consumption information based on the consumption receipt image comprises: and performing character recognition on the consumption receipt image to acquire consumption information.

Further, the character recognition of the consumption receipt image to obtain consumption information includes:

performing character detection on the consumption receipt image to determine a text area;

performing text recognition on the text area to generate text information;

further, before the text detection of the consumption receipt image to determine a text region, the method further includes:

and carrying out image preprocessing on the consumption receipt image.

Further, the consumption information comprises a market name, a shop name, transaction time and transaction amount.

Further, the credit request further includes a user ID, and after the credit result is included in a preset credit consumption list, the credit request further includes:

and sending the integration result to a self-service integration client so that the self-service integration client generates an integration result prompt short message and sends the integration result prompt short message to a user.

and automatically executing account number filling and quitting operation based on the RPA.

In a second aspect, the present invention provides an automatic scoring system comprising:

the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring a point request uploaded by a self-service point client, and the point request comprises a consumption receipt image;

the second acquisition module is used for acquiring consumption information based on the consumption receipt image;

an automatic filling module for automatically executing information filling operation based on RPA to fill the consumption information into a point calculation table;

the calculation module is used for calculating the consumption information in the score table based on a preset rule and generating a score result;

and the integral module is used for recording the integral result into a preset consumption integral list.

In a third aspect, the present invention provides a server comprising a memory, a processor and a program stored on the memory and executable on the processor, the processor implementing the auto-integration method as described in any of the above when executing the program.

In a fourth aspect, the present invention provides a terminal-readable storage medium having stored thereon a program which, when executed by a processor, is capable of implementing an auto-integration method as described in any one of the above.

According to the invention, the point filling is executed through the automatic operation of the RPA robot, and the user can finish the point filling by only uploading the receipt picture by self-help, so that the work efficiency of a market is improved, the labor cost is reduced, and the customer experience is optimized.

Drawings

FIG. 1 is a flowchart of an automatic integration method according to a first embodiment of the present invention;

FIG. 2 is a diagram of an alternative embodiment of a first embodiment of the present invention;

FIG. 3 is a diagram of an alternative embodiment of a first embodiment of the present invention;

FIG. 4 is a flowchart of an auto-integration method according to a second embodiment of the present invention;

FIG. 5 is a diagram of an alternative embodiment of the second embodiment of the present invention;

FIG. 6 is a diagram of an alternative embodiment of a second embodiment of the present invention;

FIG. 7 is a block diagram of an automatic scoring system according to a third embodiment of the present invention;

FIG. 8 is a diagram of an alternative embodiment of a third embodiment of the present invention;

fig. 9 is a schematic structural diagram of a server according to a fourth embodiment of the present invention.

Detailed Description

The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.

Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the steps as a sequential process, many of the steps can be performed in parallel, concurrently or simultaneously. In addition, the order of the steps may be rearranged. A process may be terminated when its operations are completed, but may have additional steps not included in the figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.

Furthermore, the terms "first," "second," and the like may be used herein to describe various orientations, actions, steps, elements, or the like, but the orientations, actions, steps, or elements are not limited by these terms. These terms are only used to distinguish one direction, action, step or element from another direction, action, step or element. For example, the first packing module may be the second packing module or the third packing module, and similarly, the second packing module and the third packing module may be the first packing module without departing from the scope of the present application. The first packaging module, the second packaging module and the third packaging module are all packaging modules of the distributed file system, but are not the same packaging module. The terms "first", "second", etc. are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "plurality", "batch" means at least two, e.g., two, three, etc., unless specifically limited otherwise.

The terms and abbreviations used in the following examples have the following meanings:

the RPA robot process automation (robot process automation) can help enterprises or employees to complete repeated and monotonous process work, reduce manual errors, improve operation efficiency and reduce operation cost.

OCR (Optical Character Recognition) refers to a process in which an electronic device (e.g., a scanner or a digital camera) checks a Character printed on paper, determines its shape by detecting dark and light patterns, and then translates the shape into a computer text by a Character Recognition method; the method is characterized in that characters in a paper document are converted into an image file with a black-white dot matrix in an optical mode aiming at print characters, and the characters in the image are converted into a text format through recognition software for further editing and processing by word processing software.

Example one

Referring to fig. 1, the present embodiment provides an automatic point counting method based on robot automation operation, where a service end of a self-service point counting client executes the operation, and an RPA robot is built in the service end. The method comprises the following steps:

s101, a point request uploaded by a self-service point client side is obtained, and the point request comprises a consumption receipt image.

In the step, pictures of the consumption small pieces are scanned and uploaded through a self-service point client side, which needs point operation, and the self-service point client side generates a point request and sends the point request to a machine side. Wherein the credit request may further comprise a user ID, a request timestamp and a picture to be identified. In the step, the receipt placed at the self-service point client side by the user is usually a paper receipt, and the self-service point client side scans the receipt into a recognizable consumption receipt image through a built-in camera, a scanner and other devices. In this step, the credit request usually further includes a user account, a request timestamp, and a picture to be subjected to character recognition.

And S102, acquiring consumption information based on the consumption receipt image.

In this step, the consumption information refers to a mall name, a shop name, a transaction time, a transaction amount, and the like. The step of acquiring the consumption information can be realized by means of character recognition, image recognition and the like.

And S103, automatically executing an information filling operation based on the RPA to fill the consumption information into a point calculation table.

The RPA in the step refers to a preset script prestored at a self-service integration end, and can simulate the operation of adding integration of workers. Specifically, after the consumption information is acquired, the operations of automatic login and information filling are executed. Specifically, the RPA populates the consumption information. The automatic operation robot is a script developed based on python or VBS and other languages, is located in a virtual or physical environment, does not need to open any interface with a system, only needs to interact with a scoring system through a front-end interface, completely simulates human operation, automatically executes mouse moving click and keyboard input, and inputs consumption information including 'market name', 'shop name', 'transaction time', 'transaction amount' and the like into a corresponding scoring calculation table for filling in points.

And S104, calculating consumption information in the integral table based on a preset rule, and generating an integral result.

The system automatically calculates the corresponding points for the currently input transaction amount according to the preset point rule and counts the points.

In an alternative embodiment, since points of different shops may appear in the same store and require different points, or consumption information required by the same store is different, the step S104 further includes: and sending the consumption information to different RPA point modules based on the shop name and/or the market information. Different tasks and image data are distributed to different task processing RPA robots to carry out targeted point filling operation.

And S105, recording the integral result into a preset consumption integral list.

As shown in fig. 2, in an alternative embodiment, step S105 is followed by:

and S106, sending the integration result to a self-service integration client so that the self-service integration client generates an integration result prompt short message and sends the integration result prompt short message to a user.

In the step, when the network is poor or the equipment is in failure, the user does not need to wait before the self-service equipment, the user can leave after directly inputting the receipt picture, the self-service point client can send the receipt picture to the user after finishing the point,

as shown in fig. 3, in an alternative embodiment, step S105 is followed by:

and S107, automatically executing account quitting operation based on the RPA.

The embodiment executes point filling through the automatic operation of the RPA robot, and the user only needs to upload the receipt picture by self to finish point lifting of the work efficiency of the shopping mall, so that the labor cost is reduced, and the customer experience is optimized.

Example two

The embodiment adds the character recognition process by using OCR, so that the automatic integration can more accurately refine important integration information. As shown in fig. 4, the steps are as follows:

s201, acquiring a point request uploaded by a self-service point client, wherein the point request comprises a consumption receipt image;

s202, performing character recognition on the consumption receipt image to acquire consumption information.

S203, automatically executing information filling operation based on RPA to fill the consumption information into a point calculation table;

s204, calculating consumption information in the integral table based on a preset rule to generate an integral result;

and S205, recording the integral result into a preset consumption integral list.

As in fig. 5, in an alternative embodiment, step S202 further comprises:

s2021, performing character detection on the consumption receipt image to determine a text area;

in this step, the text detection is used to detect the location, range and layout of the text, including layout analysis and text line detection. The main problem to be solved by character detection is where the characters are, and how large the range of the characters is.

In an alternative embodiment, when the text region is not obtained by text detection of the identified consumption receipt image, a detection failure feedback is generated and sent to the self-service point integrating device, so that the self-service point integrating device prompts a user to rescan whether the consumption receipt or the self-checking receipt is available for point integration.

And S2022, performing text recognition on the text area to generate character information.

The step is used for identifying the text content and converting the image information into the text information. The text recognition is mainly used to recognize each character in the text region.

S2023, extracting elements from the text information to generate consumption information.

The extraction element is to extract only necessary information to fill in the scoring system, and the element includes "market name", "shop name", "transaction time", "transaction amount", and the like.

In an alternative embodiment, when the extracted text information extraction element does not include consumption information for points, a detection failure feedback is generated and sent to the self-service points device, so that the self-service points device prompts the user to rescan the consumption tickets or the self-checking tickets whether the consumption tickets or the self-checking tickets can be used for points or not.

As shown in fig. 6, in another alternative embodiment, step S2021 further includes:

s2024, image preprocessing is carried out on the consumption receipt image.

Image preprocessing is to correct for imaging problems of the image. The pretreatment process comprises the following steps: geometric transformations (perspective, warping, rotation, etc.), distortion correction, deblurring, image enhancement, and ray correction, among others. Meanwhile, the method can be used for reducing the precision of the input image and enabling the processing process to be faster.

In one embodiment, the consumption slip image is reduced from a first pixel value to a second pixel value by performing downsampling on the consumption slip image.

The downsampling is to reduce or reduce pixels of the input image, wherein a first pixel value is an initial pixel value of the expense receipt image, and a second pixel value is lower than the first pixel value, so that the input expense receipt image conforms to the size of a display area or a thumbnail with a preset size is generated.

In this step, since the tickets input by the user are not always black and white charging documents, some shops or malls may use colored credit exchange cards, which may be colored. For example, the consumption slip image may be a multichannel image of an RGB color space, or may be an HSV color image or any multichannel color image, and the step may be to convert the consumption slip image from an RGB color image into a grayscale image and perform recognition.

The embodiment adds the character recognition process by using OCR, so that the automatic integration can more accurately refine important integration information.

EXAMPLE III

As shown in fig. 7, the present embodiment provides an automatic integration system 3, which specifically includes:

the system comprises a first acquisition module 301, a first storage module and a second acquisition module, wherein the first acquisition module 301 is used for acquiring a point request uploaded by a self-service point client, and the point request comprises a consumption receipt image;

a second obtaining module 302, configured to obtain consumption information based on the consumption receipt image; the module further comprises: and performing character recognition on the consumption receipt image to acquire consumption information. The method specifically comprises the following steps: performing character detection on the consumption receipt image to determine a text area; performing text recognition on the text area to generate text information; and extracting elements from the text information to generate consumption information. The module is also used for image preprocessing of the consumption receipt image before text detection of the consumption receipt image is carried out to determine a text region.

The module is also used for generating a detection failure feedback and sending the detection failure feedback to the self-service point integrating equipment when the text area is not obtained when the recognized consumption receipt image is subjected to text detection, so that the self-service point integrating equipment prompts a user to scan the consumption receipt or check whether the consumption receipt can be used for point integration or not again.

The module is also used for generating detection failure feedback to be sent to the self-service point integrating equipment when the extracted text information extraction element does not comprise consumption information used for point integration, so that the self-service point integrating equipment prompts a user to rescan the consumption receipt or whether the self-checking receipt can be used for point integration.

An automatic filling module 303, configured to automatically perform an information filling operation based on the RPA to fill the consumption information into a point calculation table;

and the calculating module 304 is configured to calculate consumption information in the score table based on a preset rule, and generate a score result. The module is also used for sending the consumption information to different RPA point modules based on the shop name and/or the market information. Different tasks and image data are distributed to different task processing RPA robots to carry out targeted point filling operation.

And the integration module 305 is used for integrating the integration result into a preset consumption integration list.

In an alternative embodiment, as shown in fig. 8, a sending module 306 is further included, configured to send the point result to the self-service point client after the point result is included in the preset consumption point list, so that the self-service point client generates a point result prompt short message to be sent to the user.

In an alternative embodiment, further comprising:

and an automatic quit module 307, configured to automatically perform an account quit operation based on the RPA.

The embodiment provides an automatic integration system 3, which can execute the automatic integration method provided by any embodiment of the present invention, and has corresponding functional modules and beneficial effects of the execution method.

Example four

The present embodiment provides a schematic structural diagram of a server, as shown in fig. 9, the server includes a processor 401, a memory 402, an input device 403, and an output device 404; the number of the processors 401 in the server may be one or more, and one processor 401 is taken as an example in the figure; the processor 401, memory 402, input device 403 and output device 404 in the device/terminal/server may be linked by a bus or other means, as exemplified by the linking via a bus in fig. 9.

The memory 402, which is a computer-readable storage medium, may be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the auto-integration method in the embodiments of the present invention. The processor 401 executes various functional applications of the device/terminal/server and data processing by running software programs, instructions and modules stored in the memory 402, that is, implements the automatic integration method described above.

The memory 402 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 402 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 402 may further include memory located remotely from the processor 401, which may be linked to the device/terminal/server through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The input means 403 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the device/terminal/server. The output device 404 may include a display device such as a display screen.

The embodiment of the invention also provides a server, which can execute the automatic integration provided by any embodiment of the invention and has corresponding functional modules and beneficial effects of the execution method.

EXAMPLE five

An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements an automatic integration method provided in any embodiment of the present invention, where the method may include:

acquiring consumption information based on the consumption receipt image;

and recording the integral result into a preset consumption integral list.

The computer-readable storage media of embodiments of the invention may take any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical link having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a storage medium may be transmitted over any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or terminal. In the case of a remote computer, the remote computer may be linked to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the link may be made to an external computer (for example, through the Internet using an Internet service provider).

It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. An automatic point integrating method, which is executed by a self-service point integrating terminal, comprises the following steps:

acquiring consumption information based on the consumption receipt image;

and recording the integral result into a preset consumption integral list.

2. The method of claim 1, wherein said obtaining consumption information based on said consumption slip image comprises: and performing character recognition on the consumption receipt image to acquire consumption information.

3. The method of claim 2, wherein said character recognizing said consumption slip image to obtain consumption information comprises:

performing text recognition on the text area to generate text information;

and extracting elements from the text information to generate consumption information.

4. The method of claim 3, wherein prior to performing text detection on the consumer ticket image to determine text regions, further comprising:

and carrying out image preprocessing on the consumption receipt image.

5. The method of claim 1, wherein the consumption information includes a mall name, a shop name, a transaction time, and a transaction amount.

6. The method of claim 1, wherein the credit request further includes a user ID, and further comprising, after crediting the credit result to a preset list of consumed credits:

7. The method of claim 1, wherein the credit request further includes a user ID, and further comprising, after crediting the credit result to a preset list of consumed credits:

8. An automated integration system, comprising:

9. A server comprising a memory, a processor, and a program stored on the memory and executable on the processor, wherein the processor implements the auto-integration method of any of claims 1-7 when executing the program.

10. A terminal-readable storage medium, on which a program is stored, wherein the program, when executed by a processor, is capable of implementing the auto-integration method of any one of claims 1 to 7.