CN116402502B - Big data mobile terminal payment method and system - Google Patents
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- G06Q20/327—Short range or proximity payments by means of M-devices
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Abstract
The application relates to the technical field of mobile payment, and particularly discloses a big data mobile terminal payment method and a system. The application shoots pictures by acquiring the shot code scanning; performing classification recognition to generate classification recognition information; determining a source APP of mobile terminal code scanning payment, screening and marking a plurality of target two-dimensional codes; sequencing analysis is carried out, and a scanning sequence is determined; and carrying out background sequential code scanning to generate a code scanning payment order. The method has the advantages that the code scanning shooting pictures can be acquired through code scanning payment, classification and identification are carried out, a plurality of target two-dimensional codes are screened out according to the source APP, the target two-dimensional codes are subjected to sorting analysis, background sequential code scanning is carried out according to the scanning arrangement sequence, code scanning payment orders are generated, and therefore users are not required to carry out active two-dimensional code selection and multiple sequential code scanning, corresponding two-dimensional codes can be automatically matched, code scanning processing is carried out according to the sequence, code scanning errors of the users are effectively avoided, complicated operation is not required, and mobile payment is more convenient.
Description
Technical Field
The application belongs to the technical field of mobile payment, and particularly relates to a big data mobile terminal payment method and system.
Background
The mobile payment means that the mobile client uses electronic products such as mobile phones to carry out electronic money payment, the mobile payment effectively combines the Internet, the mobile terminal and the financial institutions, a novel electronic money payment system is formed, a novel payment mode is opened, the electronic money is effectively popularized, and the life of people is more convenient.
In the existing mobile payment, two-dimension code payment is most common, different two-dimension code payment channels are needed to correspond to different payment two-dimension codes, a user needs to actively select the two-dimension codes when carrying out code scanning payment through a mobile terminal, and because a plurality of two-dimension codes are generally arranged in a centralized manner in a region, the user can easily scan errors and need to scan the codes again, and when some payment activities exist, the user needs to scan among a plurality of two-dimension codes sequentially, so that the operation is complex and the errors are easy to scan.
Disclosure of Invention
The embodiment of the application aims to provide a big data mobile terminal payment method and a system, which aim to solve the problems in the background technology.
In order to achieve the above object, the embodiment of the present application provides the following technical solutions:
a big data mobile terminal payment method specifically comprises the following steps:
acquiring a code scanning shooting picture shot during code scanning payment of a mobile terminal, wherein the code scanning shooting picture is provided with a plurality of two-dimensional code images;
based on a big data technology, classifying and identifying a plurality of two-dimensional code images to generate classifying and identifying information;
determining a source APP of mobile terminal code scanning payment, and screening and marking a plurality of target two-dimensional codes from a plurality of two-dimensional code images according to the classification identification information;
based on a big data technology, sorting analysis is carried out on a plurality of target two-dimensional codes, and a scanning arrangement sequence is determined;
and carrying out background sequential code scanning on the target two-dimensional codes according to the scanning arrangement sequence to generate code scanning payment orders.
As a further limitation of the technical scheme of the embodiment of the present application, the capturing of the code scanning captured image captured during the code scanning payment of the mobile terminal, wherein the capturing of the code scanning captured image includes a plurality of two-dimensional code images, specifically including the following steps:
acquiring a dynamic shooting video shot when a user performs code scanning payment through a mobile terminal;
performing frame-by-frame processing on the dynamic shooting video to obtain a plurality of frame-by-frame shooting pictures;
performing contrast analysis on a plurality of the pictures shot frame by frame to generate a contrast analysis result;
and screening and marking code scanning shooting pictures from a plurality of frame-by-frame shooting pictures according to the comparison analysis result, wherein the code scanning shooting pictures are provided with a plurality of two-dimensional code images.
As a further limitation of the technical solution of the embodiment of the present application, the classifying and identifying the plurality of two-dimensional code images based on the big data technology, and generating the classifying and identifying information specifically includes the following steps:
performing feature marking on the two-dimensional code images to obtain a plurality of feature marking images;
based on a big data technology, carrying out feature recognition on a plurality of feature marker images to generate feature recognition results;
and carrying out classification recognition on the two-dimensional code images according to the characteristic recognition result to generate classification recognition information.
As a further limitation of the technical scheme of the embodiment of the present application, the determining the source APP of the mobile terminal for code scanning payment, and screening and marking a plurality of target two-dimensional codes from a plurality of two-dimensional code images according to the classification identification information specifically includes the following steps:
obtaining background starting data recorded by a mobile terminal in real time;
determining a source APP for code scanning payment according to the background enabling data;
determining corresponding source characteristics according to the source APP;
and integrating the source characteristics and the classification identification information, and screening and marking a plurality of target two-dimensional codes from a plurality of two-dimensional code images.
As further defined by the technical solution of the embodiment of the present application, the sorting analysis is performed on the plurality of target two-dimensional codes based on the big data technology, and the determining the scanning arrangement sequence specifically includes the following steps:
performing action recognition on a plurality of target two-dimensional codes by using a big data technology, and determining a plurality of action information;
performing action level analysis on the action information to obtain action level identifiers;
and sequencing the target two-dimensional codes according to the action level identifiers to obtain a scanning arrangement sequence.
As a further limitation of the technical solution of the embodiment of the present application, the step of performing background sequential code scanning on the plurality of target two-dimensional codes according to the scanning arrangement sequence, and generating a code scanning payment order specifically includes the following steps:
generating a plurality of sequential scanning instructions according to the scanning arrangement sequence;
according to the plurality of sequential scanning instructions, carrying out background sequential scanning on the plurality of target two-dimensional codes, and recording corresponding sequential scanning results;
and sequentially acting a plurality of sequential code scanning results to generate a code scanning payment order.
The system specifically comprises a payment code scanning shooting unit, an image classification and identification unit, a target screening marking unit, a target ordering analysis unit and a payment order generation unit, wherein:
the payment code scanning shooting unit is used for acquiring code scanning shooting pictures shot during code scanning payment of the mobile terminal, wherein the code scanning shooting pictures are provided with a plurality of two-dimensional code images;
the image classification and identification unit is used for carrying out classification and identification on the plurality of two-dimensional code images based on a big data technology and generating classification and identification information;
the target screening marking unit is used for determining a source APP of mobile terminal code scanning payment, and screening and marking a plurality of target two-dimension codes from a plurality of two-dimension code images according to the classification identification information;
the target ordering analysis unit is used for ordering and analyzing a plurality of target two-dimensional codes based on a big data technology and determining a scanning arrangement sequence;
and the payment order generation unit is used for carrying out background sequence code scanning on the target two-dimensional codes according to the scanning arrangement sequence to generate code scanning payment orders.
As a further limitation of the technical solution of the embodiment of the present application, the image classification and identification unit specifically includes:
the feature marking module is used for carrying out feature marking on the two-dimensional code images to obtain feature marking images;
the feature recognition module is used for carrying out feature recognition on the plurality of feature marker images based on a big data technology and generating a feature recognition result;
and the classification recognition module is used for carrying out classification recognition on the plurality of two-dimensional code images according to the characteristic recognition result to generate classification recognition information.
As a further limitation of the technical solution of the embodiment of the present application, the target screening marking unit specifically includes:
the data acquisition module is used for acquiring background enabling data recorded in real time by the mobile terminal;
the source APP determining module is used for determining a source APP for code scanning payment according to the background enabling data;
the source characteristic determining module is used for determining corresponding source characteristics according to the source APP;
and the target screening module is used for integrating the source characteristics and the classification identification information, and screening and marking a plurality of target two-dimensional codes from a plurality of two-dimensional code images.
As a further limitation of the technical solution of the embodiment of the present application, the target sorting analysis unit specifically includes:
the action recognition module is used for carrying out action recognition on a plurality of target two-dimensional codes by a big data technology and determining a plurality of action information;
the level analysis module is used for carrying out action level analysis on the action information to obtain action level identifiers;
and the two-dimensional code ordering module is used for ordering the plurality of target two-dimensional codes according to the action level identifiers to obtain a scanning arrangement sequence.
Compared with the prior art, the application has the beneficial effects that:
1. according to the method, the device and the system, the scanned code shooting pictures shot during the scanned code payment of the mobile terminal can be obtained, the two-dimensional code images in the scanned code shooting pictures are classified and identified, and the target two-dimensional codes are screened from the two-dimensional code images by combining with the source APP of the scanned code payment of the mobile terminal, so that a user does not need to select the two-dimensional codes, and the scanned code errors of the user are effectively avoided;
2. according to the method, the device and the system, based on a big data technology, the ordering analysis can be carried out on the plurality of target two-dimensional codes, the scanning arrangement sequence is determined, then the background sequence code scanning is carried out on the plurality of target two-dimensional codes according to the scanning arrangement sequence, the code scanning payment order is generated, the sequential code scanning of the plurality of two-dimensional codes is not needed to be carried out manually when the payment activity is carried out, the tedious operation of mobile payment of a user is reduced, the code scanning error of the user is further avoided, and the convenience of mobile payment is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present application.
Fig. 1 shows a flowchart of a method provided by an embodiment of the present application.
Fig. 2 shows a flowchart of acquiring a code scanning shot picture in the method provided by the embodiment of the application.
Fig. 3 shows a flow chart of two-dimensional code image classification and identification in the method provided by the embodiment of the application.
Fig. 4 shows a flowchart of a target two-dimensional code screening mark in the method provided by the embodiment of the application.
Fig. 5 shows a flowchart of determining a scan order in a method according to an embodiment of the present application.
Fig. 6 shows a flowchart of a background sequential code scanning process in the method according to the embodiment of the present application.
Fig. 7 shows an application architecture diagram of a system provided by an embodiment of the present application.
Fig. 8 is a block diagram showing the structure of an image classification recognition unit in the system according to the embodiment of the present application.
Fig. 9 shows a block diagram of a target screening marking unit in the system according to the embodiment of the present application.
Fig. 10 shows a block diagram of a target sorting analysis unit in the system according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
It can be understood that in the existing mobile payment technology, the application of two-dimension code payment is most common, however, in the real two-dimension code payment process, different two-dimension code payment channels are often required to correspond to different payment two-dimension codes, when a user performs code scanning payment through a mobile terminal, the user needs to actively select the two-dimension codes, because a plurality of two-dimension codes are generally and intensively arranged in a region, the user easily scans errors, and needs to scan the codes again, and when some payment activities exist, the user needs to sequentially scan among a plurality of two-dimension codes, so that the operation is complex, and the scanning errors are easier.
In order to solve the problems, the embodiment of the application obtains the code scanning shooting picture shot during the code scanning payment of the mobile terminal; performing classification recognition to generate classification recognition information; determining a source APP of mobile terminal code scanning payment, screening and marking a plurality of target two-dimensional codes; sequencing analysis is carried out, and a scanning sequence is determined; and carrying out background sequential code scanning to generate a code scanning payment order. The method has the advantages that the code scanning shooting pictures can be acquired through code scanning payment, classification and identification are carried out, a plurality of target two-dimensional codes are screened out according to the source APP, the target two-dimensional codes are subjected to sorting analysis, background sequential code scanning is carried out according to the scanning arrangement sequence, code scanning payment orders are generated, and therefore users are not required to carry out active two-dimensional code selection and multiple sequential code scanning, corresponding two-dimensional codes can be automatically matched, code scanning processing is carried out according to the sequence, code scanning errors of the users are effectively avoided, complicated operation is not required, and mobile payment is more convenient.
Fig. 1 shows a flowchart of a method provided by an embodiment of the present application.
Specifically, in a preferred embodiment provided by the present application, a payment method for a big data mobile terminal, the method specifically includes the following steps:
step S101, acquiring a code scanning shooting picture shot during code scanning payment of the mobile terminal, wherein the code scanning shooting picture is provided with a plurality of two-dimensional code images.
In the embodiment of the application, when a user performs code scanning payment of a two-dimensional code through a mobile terminal, the user only needs to directly shoot an area adhered with the two-dimensional code, after the user clicks shooting through the mobile terminal, the user can acquire a dynamic shooting video shot by the mobile terminal, the dynamic shooting video is subjected to frame-by-frame processing, the dynamic shooting video is decomposed into a plurality of frame-by-frame shooting pictures according to the shooting frame number, the frame-by-frame shooting pictures are subjected to contrast analysis of the two-dimensional code shooting definition, and the pictures which are clearly shot by all the two-dimensional codes in the area adhered with the two-dimensional code are screened from the frame-by-frame shooting pictures and marked as code scanning shooting pictures, and the frame-by-frame shooting pictures have clear two-dimensional code images.
It can be understood that the problem that in a picture which is directly shot, the picture possibly has blurring and cannot be accurately identified can be avoided by shooting the dynamic shooting video instead of directly shooting the picture, and the code scanning shooting picture can be extracted from the dynamic shooting video, so that the situation that a user needs to repeatedly shoot can be avoided.
Specifically, fig. 2 shows a flowchart of acquiring a code scanning shot picture in the method provided by the embodiment of the application.
In a preferred embodiment of the present application, the capturing a code scanning captured image captured during code scanning payment of a mobile terminal, where the code scanning captured image has a plurality of two-dimensional code images, specifically includes the following steps:
step S1011, acquiring a dynamic shooting video shot when a user performs code scanning payment through a mobile terminal.
Step S1012, performing frame-by-frame processing on the dynamic shot video to obtain a plurality of frame-by-frame shot pictures.
Step S1013, performing contrast analysis on the plurality of the frame-by-frame photographed pictures, and generating a contrast analysis result.
And step S1014, screening and marking code scanning shot pictures from a plurality of frame-by-frame shot pictures according to the comparison analysis result, wherein the code scanning shot pictures are provided with a plurality of two-dimensional code images.
Further, the big data mobile terminal payment method further comprises the following steps:
step S102, based on the big data technology, classifying and identifying the two-dimensional code images to generate classifying and identifying information.
According to the embodiment of the application, based on a big data technology, two-dimensional code standard images corresponding to different payment channels are obtained from the Internet, further feature analysis is carried out on the two-dimensional code standard images, feature positions (possibly centers of two-dimensional codes and frames of the two-dimensional codes) of the payment channels are displayed in the two-dimensional code standard images, the two-dimensional code images are correspondingly identified according to the feature positions, feature mark images respectively corresponding to the two-dimensional code images are intercepted, feature matching identification is carried out on the feature mark images according to the two-dimensional code standard images, feature identification results are generated, payment channels respectively corresponding to the two-dimensional code images are determined according to the feature identification results, and classification identification is carried out on the two-dimensional code images according to different payment channels, so that classification identification information is generated.
It can be understood that in the two-dimensional code image, not only the two-dimensional code is provided, but also the characteristic mark of the two-dimensional code is provided near the two-dimensional code (including the center and the frame), the characteristic mark can be text, i ogo, mark and the like, the corresponding payment channel can be determined by identifying the characteristic mark, and then the two-dimensional code images can be classified according to different payment channels. For example: the payment channels include A and B, and the plurality of two-dimensional code images can be A1, A2, B1 and B2.
Specifically, fig. 3 shows a flowchart of two-dimensional code image classification and identification in the method provided by the embodiment of the application.
In a preferred embodiment of the present application, the classifying and identifying the plurality of two-dimensional code images based on the big data technology, and generating the classifying and identifying information specifically includes the following steps:
and S1021, performing feature labeling on the two-dimensional code images to obtain feature labeling images.
Step S1022, performing feature recognition on the plurality of feature marker images based on the big data technology, and generating a feature recognition result.
Step S1023, according to the feature recognition result, classifying and recognizing the two-dimensional code images to generate classification and recognition information.
Further, the big data mobile terminal payment method further comprises the following steps:
step S103, determining a source APP of mobile terminal code scanning payment, and screening and marking a plurality of target two-dimension codes from a plurality of two-dimension code images according to the classification identification information.
In the embodiment of the application, the payment APP used when the user performs scanning shooting of the two-dimension code is determined by acquiring the background starting data recorded by the mobile terminal in real time, and is marked as the source APP, then the source characteristics corresponding to the source APP are determined based on the big data technology, and further the two-dimension code image corresponding to the source APP is screened out from the two-dimension code images according to the classification identification information, and is marked as the target two-dimension code, so that a plurality of target two-dimension codes are obtained.
It can be understood that the source features corresponding to the source APP can be keywords, feature colors, i ogo, marks and the like, and can be matched with feature marks of the two-dimensional code image, so that a plurality of target two-dimensional codes corresponding to the source APP can be marked according to classification identification information. For example: two-dimensional code images A1 and A2 belonging to the same class, wherein the two-dimensional code image A1 is provided with characters of 'A1', the two-dimensional code image A2 is provided with 'A2', and when the source characteristics corresponding to the source APP are provided with 'A1 and A2', the two-dimensional code images A1 and A2 are both target two-dimensional codes corresponding to the source APP.
Specifically, fig. 4 shows a flowchart of a target two-dimensional code screening mark in the method provided by the embodiment of the application.
In the preferred embodiment provided by the application, the method for determining the source APP of mobile terminal code scanning payment and screening and marking a plurality of target two-dimensional codes from a plurality of two-dimensional code images according to the classification identification information specifically comprises the following steps:
step S1031, obtaining background enabling data recorded by the mobile terminal in real time.
Step S1032, determining the source APP of code scanning payment according to the background enabling data.
Step S1033, determining corresponding source features according to the source APP.
Step S1034, integrating the source features and the classification identification information, and screening and marking a plurality of target two-dimensional codes from a plurality of two-dimensional code images.
Further, the big data mobile terminal payment method further comprises the following steps:
step S104, based on big data technology, sorting analysis is carried out on the plurality of target two-dimensional codes, and the scanning arrangement sequence is determined.
In the embodiment of the application, based on a big data technology, action recognition is carried out on a plurality of target two-dimensional codes, the action of the plurality of target two-dimensional codes in the code scanning payment process is determined, action information corresponding to each target two-dimensional code is obtained, then the action level identification corresponding to the plurality of target two-dimensional codes is obtained through level analysis of the action of the plurality of action information, and further the code scanning payment process sequence of the plurality of target two-dimensional codes is arranged according to the plurality of action level identification, so that a scanning arrangement sequence is obtained.
It can be understood that when some payment activities exist, the payment deduction amount can be determined by scanning the activity two-dimensional code, then scanning the payment two-dimensional code, and then automatically deducting the deduction amount for payment, and then two target two-dimensional codes are provided, wherein the action information of one target two-dimensional code is "payment deduction", the action information of the other target two-dimensional code is "scanning payment", the action level of the target two-dimensional code of "payment deduction" is identified as "level 1", the action level of the target two-dimensional code of "scanning payment" is identified as "level 2", and then the scanning arrangement sequence is: the target two-dimensional code of "payment reduction" is arranged in front, and the target two-dimensional code of "scanning payment" is arranged in back.
Specifically, fig. 5 shows a flowchart of determining a scan arrangement sequence in the method provided by the embodiment of the present application.
In a preferred embodiment of the present application, the sorting analysis is performed on the plurality of target two-dimensional codes based on big data technology, and the determining the scanning arrangement sequence specifically includes the following steps:
step S1041, performing action recognition on the plurality of target two-dimensional codes by using a big data technology, and determining a plurality of action information.
And step S1042, performing action level analysis on the action information to obtain action level identifiers.
Step S1043, sorting the plurality of target two-dimensional codes according to the plurality of action level identifiers, to obtain a scanning arrangement sequence.
Further, the big data mobile terminal payment method further comprises the following steps:
and step 105, performing background sequential code scanning on the target two-dimensional codes according to the scanning arrangement sequence, and generating a code scanning payment order.
In the embodiment of the application, the sequential scanning instructions corresponding to the sequences of the plurality of target two-dimensional codes are generated according to the scanning arrangement sequence, the background sequential code scanning is carried out on the plurality of target two-dimensional codes according to the plurality of sequential scanning instructions, a plurality of corresponding sequential code scanning results are generated, in the sequential code scanning process, the plurality of sequential code scanning results are sequentially acted, and finally the code scanning payment order is generated and used for carrying out online payment of corresponding amount according to the code scanning payment order.
It can be understood that during payment activity, the target two-dimensional code of "payment deduction" is automatically scanned after the deduction amount is determined by automatically scanning the target two-dimensional code of "payment deduction", so as to generate the scan code payment order after the amount deduction, without the need for the user to select and scan twice between the target two-dimensional code of "payment deduction" and the target two-dimensional code of "scanning payment".
Specifically, fig. 6 shows a flowchart of a background sequential code scanning process in the method provided by the embodiment of the present application.
In the preferred embodiment of the present application, the step of performing a background sequential code scanning on the plurality of target two-dimensional codes according to the scanning arrangement sequence to generate a code scanning payment order specifically includes the following steps:
step S1051, generating a plurality of sequential scan instructions according to the scan arrangement order.
And step S1052, performing background sequential code scanning on the target two-dimensional codes according to the sequential scanning instructions, and recording corresponding sequential code scanning results.
And step S1053, sequentially acting a plurality of the sequential code scanning results to generate a code scanning payment order.
Further, fig. 7 shows an application architecture diagram of the system provided by the embodiment of the present application.
In another preferred embodiment of the present application, a big data mobile terminal payment system includes:
the payment code scanning shooting unit 101 is configured to obtain a code scanning shooting picture shot during code scanning payment of the mobile terminal, where the code scanning shooting picture has a plurality of two-dimensional code images.
In the embodiment of the application, when a user performs code scanning payment of a two-dimensional code through a mobile terminal, the user only needs to directly shoot an area adhered with the two-dimensional code, after the user clicks shooting through the mobile terminal, the payment code scanning shooting unit 101 can acquire a dynamic shooting video shot by the mobile terminal, the dynamic shooting video is decomposed into a plurality of frame-by-frame shooting pictures according to the shot frame number, then the contrast analysis of the two-dimensional code shooting definition is performed on the frame-by-frame shooting pictures, and the pictures which are clearly shot by all the two-dimensional codes in the area adhered with the two-dimensional code are screened out from the frame-by-frame shooting pictures and marked as code scanning shooting pictures, and the frame-by-frame shooting pictures have clear two-dimensional code images.
The image classification and identification unit 102 is configured to perform classification and identification on the plurality of two-dimensional code images based on a big data technology, and generate classification and identification information.
In the embodiment of the application, the image classification and identification unit 102 acquires two-dimensional code standard images corresponding to different payment channels from the internet based on a big data technology, further performs feature analysis on the two-dimensional code standard images, determines feature positions (possibly centers of two-dimensional codes or frames of the two-dimensional codes) of the payment channels displayed in the two-dimensional code standard images, performs corresponding identification on the two-dimensional code images according to the feature positions, intercepts feature mark images respectively corresponding to the two-dimensional code images, performs feature matching identification on the feature mark images according to the two-dimensional code standard images, generates feature identification results, determines payment channels respectively corresponding to the two-dimensional code images according to the feature identification results, and further performs classification identification on the two-dimensional code images according to the different payment channels to generate classification identification information.
Specifically, fig. 8 shows a block diagram of the image classification and identification unit 102 in the system according to the embodiment of the present application.
In a preferred embodiment of the present application, the image classification and identification unit 102 specifically includes:
and the feature marking module 1021 is used for carrying out feature marking on the two-dimensional code images to obtain feature marking images.
And the feature recognition module 1022 is configured to perform feature recognition on the plurality of feature marker images based on big data technology, and generate a feature recognition result.
And the classification recognition module 1023 is used for performing classification recognition on the plurality of two-dimensional code images according to the characteristic recognition result to generate classification recognition information.
Further, the big data mobile terminal payment system further comprises:
and the target screening and marking unit 103 is used for determining a source APP of mobile terminal code scanning payment, and screening and marking a plurality of target two-dimension codes from a plurality of two-dimension code images according to the classification identification information.
In the embodiment of the application, the target screening marking unit 103 determines the payment APP used when the user performs the code scanning shooting of the two-dimension code by acquiring the background enabling data recorded in real time by the mobile terminal, marks the payment APP as the source APP, determines the source characteristic corresponding to the source APP based on the big data technology, and screens out the two-dimension code image corresponding to the source APP from the plurality of two-dimension code images according to the classification identification information, marks the two-dimension code image as the target two-dimension code, thereby obtaining a plurality of target two-dimension codes.
Specifically, fig. 9 shows a block diagram of the structure of the target screening marking unit 103 in the system according to the embodiment of the present application.
In a preferred embodiment provided by the present application, the target screening marker unit 103 specifically includes:
the data acquisition module 1031 is configured to acquire background enabling data recorded in real time by the mobile terminal.
And the source APP determining module 1032 is configured to determine a source APP for code scanning payment according to the background enabling data.
A source feature determining module 1033, configured to determine a corresponding source feature according to the source APP.
And a target screening module 1034, configured to integrate the source features and the classification identification information, and screen and mark a plurality of target two-dimensional codes from a plurality of two-dimensional code images.
Further, the big data mobile terminal payment system further comprises:
and the target ordering analysis unit 104 is used for ordering and analyzing the plurality of target two-dimensional codes based on the big data technology, and determining the scanning arrangement sequence.
In the embodiment of the present application, the target ordering analysis unit 104 performs action recognition on a plurality of target two-dimensional codes based on a big data technology, determines actions of the plurality of target two-dimensional codes in the process of performing code scanning payment, obtains action information corresponding to each target two-dimensional code, obtains action level identifiers corresponding to the plurality of target two-dimensional codes through level analysis on the action of the plurality of action information, and further arranges the code scanning payment process sequences of the plurality of target two-dimensional codes according to the plurality of action level identifiers, so as to obtain a scanning arrangement sequence.
Specifically, fig. 10 shows a block diagram of the structure of the target rank analysis unit 104 in the system according to the embodiment of the present application.
In a preferred embodiment of the present application, the target ranking analysis unit 104 specifically includes:
the action recognition module 1041 is configured to perform action recognition on the plurality of target two-dimensional codes by using a big data technology, and determine a plurality of action information.
The level analysis module 1042 is used for performing action level analysis on the action information to obtain action level identifiers.
The two-dimensional code sorting module 1043 is configured to sort the plurality of target two-dimensional codes according to the plurality of action level identifiers, so as to obtain a scanning arrangement sequence.
Further, the big data mobile terminal payment system further comprises:
and the payment order generation unit 105 is used for performing background sequential code scanning on the target two-dimensional codes according to the scanning arrangement sequence to generate a code scanning payment order.
In the embodiment of the present application, the payment order generation unit 105 generates a sequential scanning instruction corresponding to the sequence of the plurality of target two-dimensional codes according to the scanning arrangement sequence, further performs background sequential code scanning on the plurality of target two-dimensional codes according to the plurality of sequential scanning instructions, generates a plurality of corresponding sequential code scanning results, and sequentially acts the plurality of sequential code scanning results in the sequential code scanning process to finally generate a code scanning payment order, so that the payment order can be directly paid according to the code scanning order, and corresponding amount online payment can be performed.
It should be understood that, although the steps in the flowcharts of the embodiments of the present application are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchi nk) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the application is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the application.
Claims (10)
1. The big data mobile terminal payment method is characterized by comprising the following steps:
acquiring a code scanning shooting picture shot during code scanning payment of a mobile terminal, wherein the code scanning shooting picture is provided with a plurality of two-dimensional code images;
based on a big data technology, classifying and identifying a plurality of two-dimensional code images to generate classifying and identifying information;
determining a source APP of mobile terminal code scanning payment, and screening and marking a plurality of target two-dimensional codes from a plurality of two-dimensional code images according to the classification identification information;
based on a big data technology, sorting analysis is carried out on a plurality of target two-dimensional codes, and a scanning arrangement sequence is determined;
specifically, based on a big data technology, performing action recognition on a plurality of target two-dimensional codes, determining actions of the plurality of target two-dimensional codes in the process of performing code scanning payment, obtaining action information corresponding to each target two-dimensional code, performing action level analysis on the plurality of action information to obtain action level identifiers corresponding to the plurality of target two-dimensional codes, and further arranging code scanning payment process sequences of the plurality of target two-dimensional codes according to the plurality of action level identifiers to obtain a scanning arrangement sequence;
and carrying out background sequential code scanning on the target two-dimensional codes according to the scanning arrangement sequence to generate code scanning payment orders.
2. The method for payment by a big data mobile terminal according to claim 1, wherein the step of obtaining a code scanning shot picture taken during code scanning payment by the mobile terminal, wherein the code scanning shot picture has a plurality of two-dimensional code images, comprises the following steps:
acquiring a dynamic shooting video shot when a user performs code scanning payment through a mobile terminal;
performing frame-by-frame processing on the dynamic shooting video to obtain a plurality of frame-by-frame shooting pictures;
performing contrast analysis on a plurality of the pictures shot frame by frame to generate a contrast analysis result;
and screening and marking code scanning shooting pictures from a plurality of frame-by-frame shooting pictures according to the comparison analysis result, wherein the code scanning shooting pictures are provided with a plurality of two-dimensional code images.
3. The method for payment by a big data mobile terminal according to claim 1, wherein the step of classifying and identifying the plurality of two-dimensional code images based on the big data technology, and generating classification and identification information specifically comprises the steps of:
performing feature marking on the two-dimensional code images to obtain a plurality of feature marking images;
based on a big data technology, carrying out feature recognition on a plurality of feature marker images to generate feature recognition results;
and carrying out classification recognition on the two-dimensional code images according to the characteristic recognition result to generate classification recognition information.
4. The method for payment by a big data mobile terminal according to claim 1, wherein the determining the source APP of the mobile terminal code scanning payment, and screening and marking a plurality of target two-dimensional codes from a plurality of two-dimensional code images according to the classification identification information specifically comprises the following steps:
obtaining background starting data recorded by a mobile terminal in real time;
determining a source APP for code scanning payment according to the background enabling data;
determining corresponding source characteristics according to the source APP;
and integrating the source characteristics and the classification identification information, and screening and marking a plurality of target two-dimensional codes from a plurality of two-dimensional code images.
5. The method for payment by a big data mobile terminal according to claim 1, wherein the step of determining the scanning arrangement sequence by performing the sorting analysis on the plurality of target two-dimensional codes based on the big data technology comprises the following steps:
performing action recognition on a plurality of target two-dimensional codes by using a big data technology, and determining a plurality of action information;
performing action level analysis on the action information to obtain action level identifiers;
and sequencing the target two-dimensional codes according to the action level identifiers to obtain a scanning arrangement sequence.
6. The method for payment by a big data mobile terminal according to claim 1, wherein the step of performing background sequential code scanning on the plurality of target two-dimensional codes according to the scanning arrangement sequence to generate a code scanning payment order specifically comprises the following steps:
generating a plurality of sequential scanning instructions according to the scanning arrangement sequence;
according to the plurality of sequential scanning instructions, carrying out background sequential scanning on the plurality of target two-dimensional codes, and recording corresponding sequential scanning results;
and sequentially acting a plurality of sequential code scanning results to generate a code scanning payment order.
7. The big data mobile terminal payment system is characterized by comprising a payment code scanning shooting unit, an image classification and identification unit, a target screening marking unit, a target ordering analysis unit and a payment order generation unit, wherein:
the payment code scanning shooting unit is used for acquiring code scanning shooting pictures shot during code scanning payment of the mobile terminal, wherein the code scanning shooting pictures are provided with a plurality of two-dimensional code images;
the image classification and identification unit is used for carrying out classification and identification on the plurality of two-dimensional code images based on a big data technology and generating classification and identification information;
the target screening marking unit is used for determining a source APP of mobile terminal code scanning payment, and screening and marking a plurality of target two-dimension codes from a plurality of two-dimension code images according to the classification identification information;
the target ordering analysis unit is used for ordering and analyzing a plurality of target two-dimensional codes based on a big data technology and determining a scanning arrangement sequence;
specifically, the target ordering analysis unit performs action recognition on a plurality of target two-dimensional codes based on a big data technology, determines actions of the plurality of target two-dimensional codes in the code scanning payment process, obtains action information corresponding to each target two-dimensional code, obtains action level identifiers corresponding to the plurality of target two-dimensional codes through level analysis of the actions of the plurality of action information, and further arranges the code scanning payment process sequences of the plurality of target two-dimensional codes according to the plurality of action level identifiers to obtain a scanning arrangement sequence;
and the payment order generation unit is used for carrying out background sequence code scanning on the target two-dimensional codes according to the scanning arrangement sequence to generate code scanning payment orders.
8. The big data mobile terminal payment system according to claim 7, wherein the image classification and identification unit specifically comprises:
the feature marking module is used for carrying out feature marking on the two-dimensional code images to obtain feature marking images;
the feature recognition module is used for carrying out feature recognition on the plurality of feature marker images based on a big data technology and generating a feature recognition result;
and the classification recognition module is used for carrying out classification recognition on the plurality of two-dimensional code images according to the characteristic recognition result to generate classification recognition information.
9. The big data mobile terminal payment system of claim 7, wherein the target screening marking unit specifically comprises:
the data acquisition module is used for acquiring background enabling data recorded in real time by the mobile terminal;
the source APP determining module is used for determining a source APP for code scanning payment according to the background enabling data;
the source characteristic determining module is used for determining corresponding source characteristics according to the source APP;
and the target screening module is used for integrating the source characteristics and the classification identification information, and screening and marking a plurality of target two-dimensional codes from a plurality of two-dimensional code images.
10. The big data mobile terminal payment system of claim 7, wherein the target ranking analysis unit specifically comprises:
the action recognition module is used for carrying out action recognition on a plurality of target two-dimensional codes by a big data technology and determining a plurality of action information;
the level analysis module is used for carrying out action level analysis on the action information to obtain action level identifiers;
and the two-dimensional code ordering module is used for ordering the plurality of target two-dimensional codes according to the action level identifiers to obtain a scanning arrangement sequence.
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