CN112907365A - Transaction data detection method, device and equipment - Google Patents

Transaction data detection method, device and equipment Download PDF

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CN112907365A
CN112907365A CN201911134332.8A CN201911134332A CN112907365A CN 112907365 A CN112907365 A CN 112907365A CN 201911134332 A CN201911134332 A CN 201911134332A CN 112907365 A CN112907365 A CN 112907365A
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transaction
client
data detection
facial features
registration
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曾伟雄
李超
熊晶
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Shenzhen Mingyuan Yunke E Commerce Co ltd
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/16—Real estate

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Abstract

A transaction data detection method comprises the following steps: acquiring client data of a transaction client, wherein the client data comprises facial features of the transaction client and identification information of the transaction client; searching the visiting registration time of the transaction client according to the identification information of the transaction client; calling a field image corresponding to the visit registration time according to the visit registration time; and matching the facial features of the transaction client with the site images, and determining the transaction data detection result according to the matching result. The method can effectively avoid the business consultant from counterfeiting the visiting registration of the channel client, and is beneficial to improving the authenticity and the effectiveness of the data of the channel client.

Description

Transaction data detection method, device and equipment
Technical Field
The application belongs to the technical field of real estate, and particularly relates to a transaction data detection method, device and equipment.
Background
In the real estate new house transaction data, the source of the transaction client is partly from the channel of the office consultant such as real estate agency or real estate agent, called channel client, and partly from the natural visiting client or the local estate agent with the channel team, called visiting client.
To avoid the presence advisor intercepting a self-visiting customer as a channel customer, the real estate agent will set certain registration rules. For example, the channel customer needs to register in advance, and needs to register visit within a first protection period after registration, such as 7 days, and makes a deal within a second protection period after registration, such as 30 days. The business consultant will often falsify the data in order to convert the visiting subscriber into the channel client, which is not favorable for ensuring the authenticity and validity of the transaction data of the channel client.
Disclosure of Invention
In view of this, embodiments of the present application provide a method, an apparatus, and a device for detecting transaction data, so as to solve the problem in the prior art that it is not beneficial to ensure the authenticity and validity of transaction data of a channel client when the transaction data is falsified.
A first aspect of an embodiment of the present application provides a transaction data detection method, where the transaction data detection method includes:
acquiring client data of a transaction client, wherein the client data comprises facial features of the transaction client and identification information of the transaction client;
searching the visiting registration time of the transaction client according to the identification information of the transaction client;
calling a field image corresponding to the visit registration time according to the visit registration time;
and matching the facial features of the transaction client with the site images, and determining the transaction data detection result according to the matching result.
With reference to the first aspect, in a first possible implementation manner of the first aspect, the step of determining the transaction data detection result according to the matching result includes:
determining that a visiting registration operation of the transaction client is valid if a first client matching the facial features of the transaction client is obtained in the live image;
determining that the visiting registration operation of the transaction client is invalid if the first client matching the facial features of the transaction client is not obtained in the live image.
With reference to the first aspect, in a second possible implementation manner of the first aspect, the step of retrieving, according to the visit registration time, a live image corresponding to the visit registration time includes:
acquiring facial features of a business consultant corresponding to the transaction client;
according to the facial features of the employment consultant, determining the visiting time period of the employment consultant on the date of the registration time;
and calling the live image in the determined visit period.
With reference to the first aspect, in a third possible implementation manner of the first aspect, the step of matching the facial features of the deal client with the live image includes:
acquiring facial features of a business consultant corresponding to the transaction client;
determining the search range of the live image according to the facial features of the employment consultant;
and searching the live image according to the search range.
With reference to the third possible implementation manner of the first aspect, in a fourth possible implementation manner of the first aspect, the determining a search range of the live image according to the facial features of the live advisor includes:
determining the position of the employment advisor in the live image according to the facial features of the employment advisor;
and determining the search range of the live image by taking the position of the live advisor in the live image as the center and combining a preset search radius.
With reference to the first aspect, in a fifth possible implementation manner of the first aspect, the method further includes:
acquiring registration data corresponding to the transaction client, wherein the registration data comprises a registration mobile phone number and a registration name;
searching a registering owner according to the registering mobile phone number;
and if the name of the register owner is not matched with the name of the transaction client or the name of the register owner is not matched with the registered name, generating prompt information with invalid data.
With reference to the first aspect, in a sixth possible implementation manner of the first aspect, the method further includes:
acquiring the backup mobile phone number of the transaction client, and searching a backup machine owner corresponding to the report mobile phone number;
and if the host of the machine report is not matched with the name of the transaction client, generating prompt information with invalid data.
A second aspect of an embodiment of the present application provides a transaction data detection apparatus, including:
the client data acquisition unit is used for acquiring client data of the transaction client, wherein the client data comprises facial features of the transaction client and identification information of the transaction client;
the visiting registration time searching unit is used for searching the visiting registration time of the transaction client according to the identification information of the transaction client;
a field image calling unit, configured to call a field image corresponding to the visit registration time according to the visit registration time;
and the data detection unit is used for matching the facial features of the transaction client with the site images and determining the transaction data detection result according to the matching result.
A third aspect of embodiments of the present application provides a transaction data detection device, which includes a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the transaction data detection method according to any one of the first aspect when executing the computer program.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the transaction data detection method according to any one of the first aspect.
Compared with the prior art, the embodiment of the application has the advantages that: the visiting registration time of the transaction client is searched through the acquired identification information of the transaction client, the corresponding field image is called according to the visiting registration time, the matching is carried out according to the facial features of the transaction client and the field image, and the effect data detection result is determined according to the matching result, so that the phenomenon that a business consultant falsifies the visiting registration of the channel client can be effectively avoided, and the authenticity and the effectiveness of the data of the channel client are improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flow chart illustrating an implementation of a transaction data detection method according to an embodiment of the present application;
fig. 2 is a schematic flow chart illustrating an implementation of a method for retrieving a live image according to an embodiment of the present application;
fig. 3 is a schematic flowchart illustrating an implementation of a method for searching a live image according to an embodiment of the present application;
fig. 4 is a schematic flow chart illustrating an implementation of another transaction data detection method provided in the embodiment of the present application;
FIG. 5 is a schematic diagram of a transaction data detection device according to an embodiment of the present disclosure;
fig. 6 is a schematic diagram of a transaction data detection device provided in an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
In order to explain the technical solution described in the present application, the following description will be given by way of specific examples.
Fig. 1 is a schematic flow chart of an implementation of a method for detecting transaction data according to an embodiment of the present application, which is detailed as follows:
in step S101, client data of a transaction client is acquired, the client data including facial features of the transaction client and identification information of the transaction client;
specifically, the transaction clients may include channel clients and visiting clients, and since the visiting clients do not need to participate in settlement with a consulting room, when the type of the transaction client is the visiting client, detection of client data may not be needed. The channel client refers to a user who carries the client to the site for visiting registration within a first effective time period after the information of the client is reported in advance by a placement consultant, and then completes house purchase within a second effective time period after the visiting registration.
The acquisition of the customer data can be carried out when the customer deals with the data. The collection of customer data includes the collection of facial features of the customer and the collection of identification information of the customer. The facial features of the client can acquire clear facial images of the transaction client in a facial image acquisition mode. The identification information may be used to uniquely identify the user. The identification information may be an identification number of the user, a driver's license number, a passport number, or the like. The identification information may also be a physical characteristic of the user, such as fingerprint identification, iris identification, voice identification, etc. of the user.
In step S102, according to the identification information of the transaction client, searching for the visiting registration time of the transaction client;
in the embodiment of the application, before the channel client deals, the employment advisor is required to complete the visiting registration within a specified time period, namely, after the employment advisor reports the information of the client, the client is taken to the site for visiting registration within a first effective time period. When a customer is registered for a visit, identification information of the customer needs to be registered, or information such as the name and the mobile phone number of the customer can be registered.
According to the identification information collected by the client after the transaction, the visiting registration information of the transaction client can be found by combining the identification information registered by the client during visiting registration, and according to the visiting registration information, the visiting registration time of the transaction client can be determined.
In step S103, according to the visit registration time, retrieving a live image corresponding to the visit registration time;
after the visit registration time of the transaction client is determined, the live image corresponding to the visit registration time may be determined according to the visit registration time of the visit registration, may be a live image corresponding to the registration time of the visit registration, or may be a period of time determined according to the visit registration time, and as shown in fig. 2, the determining the live image corresponding to the visit registration time according to the visit registration time may include:
in step S201, the facial features of the employment consultant corresponding to the transaction client are acquired;
when a client registers a visit, the information of the client registered by the visit is recorded, and the client registered by the visit is associated with the live advisor to acquire the facial features of the associated live advisor. The facial features of the employment consultant can be uploaded by the employment consultant on the terminal in advance.
In step S202, according to the facial features of the live advisor, determining the visiting time period of the live advisor on the date of the registration time;
after the facial features of the business consultant corresponding to the transaction client are acquired, a live image matched with the facial features of the business consultant can be searched for in the live image according to the date of the registration time, and the arrival time period of the business consultant, namely the arrival time and the departure time of the business consultant, of the business consultant can be determined according to the searched matched live image.
When searching for the employment consultant in the live image, the position of the employment consultant in the live image can be quickly searched according to the clothing characteristics, and then the comparison can be further carried out according to the facial characteristics, so that the image of the employment consultant needing to be searched can be quickly matched.
In step S203, live images within the determined visiting period are retrieved.
And calling the live image according to the determined visiting time interval of the business consultant, so that the data of the called live image is more accurate, and the live image is more accurately matched with the facial features of the transaction client.
In step S104, the facial features of the transaction client are matched with the live image, and the transaction data detection result is determined according to the matching result.
When the facial features of the transaction client are matched with the live images, the number of live people is large, and if the facial features of the transaction client are matched with the live images one by one, the searching efficiency is low. In an embodiment of a matching method of the present application, as shown in fig. 3, the method may include:
in step S301, facial features of a marketing advisor corresponding to the transaction client are obtained;
when a client registers a visit, the information of the client registered by the visit is recorded, and the client registered by the visit is associated with the live advisor to acquire the facial features of the associated live advisor. The facial features of the employment consultant can be uploaded by the employment consultant on the terminal in advance.
In step S302, a search range of the live image is determined based on the facial features of the live advisor;
the position of the live consultant corresponding to the transaction client can be found by searching all the images of the live consultant in the field image according to the clothing characteristics of the live consultant, and further performing matching through the facial characteristics according to the searched images of the live consultant. After determining the location of the business consultant for the deal client, a search may be determined based on the location.
For example, a search center may be determined according to the position of the live advisor in the live image, a search range of the live image may be determined according to a preset search radius, and the face image of the transaction client may be searched within the search range.
In step S303, the live image is searched for according to the search range.
When searching is carried out according to the searching range, the searching range is greatly reduced, so that the system can more quickly and effectively complete the matching of the facial features of the transaction clients, and the detection efficiency of the system is favorably improved.
And after the facial features of the client are matched according to the search range, generating a matching result, wherein the matching result comprises the facial features matched with the transaction client in the live image and the failure of the matching with the facial features of the transaction client.
And if the first client matched with the facial features of the transaction client is not obtained in the live image, determining that the access registration operation of the transaction client is invalid, and prompting the flow or data of the channel client, wherein the flow or data of the channel client possibly has risks.
In addition, in an embodiment of the present application, the method may further include a step of checking data of the visiting registration, as shown in fig. 4, including:
in step S401, acquiring registration data corresponding to the transaction client, where the registration data includes a registered mobile phone number and a registered name;
in a first effective period after the registration of the employment advisor, the employment advisor completes the visiting registration with the client, and can acquire the registration data of the visiting registration of the transaction client, wherein the registration data can comprise a registration mobile phone number and a registration name.
In step S402, searching for the registered owner according to the registered mobile phone number;
according to the registered mobile phone number in the registration data, the registering owner corresponding to the registered mobile phone number can be searched through a mobile communication database.
In addition, whether the registered mobile phone number is repeatedly registered can be searched according to the registered mobile phone number in the registration database, if the repeated registration times of the registered mobile phone number is more than the preset times, such as more than 3 times, prompt information with invalid data is generated, and a process or data of the channel customer, wherein the process or the data may have risks, can be prompted.
In step S403, if the registered owner does not match the transaction client name, or the registered owner does not match the registered name, a prompt message indicating that the data is invalid is generated.
The registered owner in the registered data is compared with the name of the transaction client to determine whether the registered owner and the name of the transaction client are consistent, or the registered owner and the registered name are compared to determine whether the registered owner and the registered name are consistent. If the registered owner does not match the transaction client or the registered owner does not match the registered name, prompt information of invalid data can be generated, and processes or data of the channel client, wherein risks exist in the data, can be prompted.
In addition, in a possible implementation manner in the application, the owner of the preparation machine corresponding to the preparation mobile phone number can be searched according to the mobile phone number prepared by the transaction customer in the preparation program, the owner of the preparation machine is compared with the name of the transaction customer, and if the owner of the preparation machine is not matched with the name of the transaction customer, prompt information that data is invalid is generated, and a process or data that the data of the channel customer may have risks can be prompted.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Fig. 5 is a schematic structural diagram of a transaction data detection device according to an embodiment of the present application, which is detailed as follows:
the transaction data detection device includes:
a customer data acquisition unit 501 for acquiring customer data of a transaction customer, the customer data including facial features of the transaction customer and identification information of the transaction customer;
a visiting registration time searching unit 502, configured to search the visiting registration time of the transaction client according to the identification information of the transaction client;
a live image retrieving unit 503, configured to retrieve a live image corresponding to the visit registration time according to the visit registration time;
a data detection unit 504, configured to match the facial features of the transaction client with the live image, and determine the transaction data detection result according to the matching result.
The transaction data detection apparatus shown in fig. 5 corresponds to the transaction data detection method shown in fig. 1.
Fig. 6 is a schematic diagram of a transaction data detection device according to an embodiment of the present application. As shown in fig. 6, the transaction data detection device 6 of this embodiment includes: a processor 60, a memory 61 and a computer program 62, such as a transaction data detection program, stored in said memory 61 and operable on said processor 60. The processor 60, when executing the computer program 62, implements the steps in the various transaction data detection method embodiments described above. Alternatively, the processor 60 implements the functions of the modules/units in the above-described device embodiments when executing the computer program 62.
Illustratively, the computer program 62 may be partitioned into one or more modules/units that are stored in the memory 61 and executed by the processor 60 to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 62 in the transaction data detection device 6. For example, the computer program 62 may be divided into:
the client data acquisition unit is used for acquiring client data of the transaction client, wherein the client data comprises facial features of the transaction client and identification information of the transaction client;
the visiting registration time searching unit is used for searching the visiting registration time of the transaction client according to the identification information of the transaction client;
a field image calling unit, configured to call a field image corresponding to the visit registration time according to the visit registration time;
and the data detection unit is used for matching the facial features of the transaction client with the site images and determining the transaction data detection result according to the matching result.
The transaction data detection device 6 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing device. The transaction data detection device may include, but is not limited to, a processor 60, a memory 61. It will be appreciated by those skilled in the art that fig. 6 is merely an example of a transaction data detection device 6 and does not constitute a limitation of the transaction data detection device 6 and may include more or fewer components than shown, or some components may be combined, or different components, for example the transaction data detection device may also include an input output device, a network access device, a bus, etc.
The Processor 60 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 61 may be an internal storage unit of the transaction data detection device 6, such as a hard disk or a memory of the transaction data detection device 6. The memory 61 may also be an external storage device of the transaction data detection device 6, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are equipped on the transaction data detection device 6. Further, the memory 61 may also include both an internal storage unit and an external storage device of the transaction data detection device 6. The memory 61 is used to store the computer program and other programs and data required by the transaction data detection device. The memory 61 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by a computer program, which can be stored in a computer-readable storage medium and can realize the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.

Claims (10)

1. A transaction data detection method is characterized by comprising the following steps:
acquiring client data of a transaction client, wherein the client data comprises facial features of the transaction client and identification information of the transaction client;
searching the visiting registration time of the transaction client according to the identification information of the transaction client;
calling a field image corresponding to the visit registration time according to the visit registration time;
and matching the facial features of the transaction client with the site images, and determining the transaction data detection result according to the matching result.
2. The transaction data detection method of claim 1, wherein the step of determining the transaction data detection result according to the matching result comprises:
determining that a visiting registration operation of the transaction client is valid if a first client matching the facial features of the transaction client is obtained in the live image;
determining that the visiting registration operation of the transaction client is invalid if the first client matching the facial features of the transaction client is not obtained in the live image.
3. The transaction data detection method of claim 1, wherein the step of retrieving the live image corresponding to the visit registration time according to the visit registration time comprises:
acquiring facial features of a business consultant corresponding to the transaction client;
according to the facial features of the employment consultant, determining the visiting time period of the employment consultant on the date of the registration time;
and calling the live image in the determined visit period.
4. The transaction data detection method of claim 1, wherein the step of matching facial features of the transaction customer with the live image comprises:
acquiring facial features of a business consultant corresponding to the transaction client;
determining the search range of the live image according to the facial features of the employment consultant;
and searching the live image according to the search range.
5. The transaction data detection method of claim 4, wherein the step of determining the search range of the live image based on the facial features of the live advisor comprises:
determining the position of the employment advisor in the live image according to the facial features of the employment advisor;
and determining the search range of the live image by taking the position of the live advisor in the live image as the center and combining a preset search radius.
6. The transaction data detection method of claim 1, wherein the method further comprises:
acquiring registration data corresponding to the transaction client, wherein the registration data comprises a registration mobile phone number and a registration name;
searching a registering owner according to the registering mobile phone number;
and if the name of the register owner is not matched with the name of the transaction client or the name of the register owner is not matched with the registered name, generating prompt information with invalid data.
7. The transaction data detection method of claim 1, wherein the method further comprises:
acquiring the backup mobile phone number of the transaction client, and searching a backup machine owner corresponding to the report mobile phone number;
and if the host of the machine report is not matched with the name of the transaction client, generating prompt information with invalid data.
8. A transaction data detection device, the transaction data detection device comprising:
the client data acquisition unit is used for acquiring client data of the transaction client, wherein the client data comprises facial features of the transaction client and identification information of the transaction client;
the visiting registration time searching unit is used for searching the visiting registration time of the transaction client according to the identification information of the transaction client;
a field image calling unit, configured to call a field image corresponding to the visit registration time according to the visit registration time;
and the data detection unit is used for matching the facial features of the transaction client with the site images and determining the transaction data detection result according to the matching result.
9. A transaction data detection apparatus comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor when executing the computer program implements the steps of the transaction data detection method according to any of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the transaction data detection method according to any one of claims 1 to 7.
CN201911134332.8A 2019-11-19 2019-11-19 Transaction data detection method, device and equipment Pending CN112907365A (en)

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