CN117575598A - Collecting method, device, equipment, server and system - Google Patents
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- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/401—Transaction verification
- G06Q20/4014—Identity check for transactions
- G06Q20/40145—Biometric identity checks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q20/00—Payment architectures, schemes or protocols
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Abstract
The embodiment of the specification provides a collection method, a collection device, collection equipment, a collection server and collection system. The method comprises the steps that a payee client obtains face images of at least one payer user and sends the face images to a server; the server side performs face feature recognition on the face image, acquires a payment account bound with the recognized face feature, determines the payable amount of the payment account and informs the payment account, wherein the payable amount is calculated and obtained based on the total amount of collection and the number of users of the payer. The payment account is determined through face recognition, so that collection to multiple persons becomes more convenient and quick, and the method is applicable to various scenes.
Description
The present application is a divisional application with a filing date of 2019, 4-month, 24-day, a filing number of 2019103354547, and a creative name of "collection method, device, apparatus, server, and system".
Technical Field
The present disclosure relates to the field of face recognition technologies, and in particular, to a collection method, device, equipment, server, and system.
Background
With the popularity of off-line payments, it is becoming more common for one person to pay and then to collect funds from others. For example, after a meal, team, or organization event, one of the people often pays and then initiates a payment to the other person. The existing multi-person cash collection technology is complex to operate or has limitation on use scenes, and cannot meet the requirements of users for multi-person cash collection in various scenes. Therefore, it is important to improve the collection method so that it is simpler and faster and is suitable for various scenes.
Disclosure of Invention
Based on the above, the specification provides a collection method, a collection device, a collection equipment, a collection server and a collection system.
According to a first aspect of embodiments of the present specification, there is provided a method of collecting money, the method comprising:
the method comprises the steps that a payee client obtains face images of at least one payer user and sends the face images to a server;
the server side carries out face feature recognition on the face image, obtains a payment account bound with the recognized face feature according to a recognition result, determines the payable amount of the payment account and informs the payment account, wherein the payable amount is calculated and obtained based on the total collection amount and the number of users of the payer.
According to a second aspect of embodiments of the present specification, there is provided a method of collecting money, the method comprising:
acquiring face images of at least one payer user;
and sending the face image to a server side so that the server side carries out face feature recognition on the face image, obtains a payment account bound with the recognized face feature according to a recognition result, determines the payable amount of the payment account and informs the payment account, wherein the payable amount is calculated and obtained based on the total amount of collection and the number of users of the payer.
According to a third aspect of embodiments of the present specification, there is provided a method of collecting money, the method comprising:
receiving a face image of at least one payer user, and carrying out face feature recognition on the face image;
acquiring a payment account bound with the identified face features according to the identification result;
and determining the payable amount of each payment account and informing the payment account, wherein the payable amount is calculated and obtained based on the total amount of collection and the number of payers.
According to a fourth aspect of embodiments of the present specification, there is provided a cash register device, the device comprising:
the acquisition module is used for acquiring face images of at least one payer user;
the sending module is used for sending the face image to a server side so that the server side can identify the face image, obtain a payment account bound with the identified face image according to an identification result, determine the payable amount of the payment account and inform the payment account, wherein the payable amount is calculated and obtained based on the collection amount and the number of payer users.
According to a fifth aspect of embodiments of the present specification, there is provided a cash register apparatus, the apparatus comprising:
the identification module is used for receiving the face image of at least one payer user and carrying out face feature identification on the face image;
the acquisition module is used for acquiring a payment account bound with the identified face features according to the identification result;
and the notification module is used for determining the payable amount of each payment account and notifying the payment account, wherein the payable amount is calculated and obtained based on the total collection amount and the number of the payer users.
According to a sixth aspect of embodiments of the present specification, there is provided a terminal device comprising a memory, a processor, a camera module for acquiring images of a face of at least one payer user, and a computer program stored on the memory and executable on the processor, the processor implementing the method of any of the embodiments of the specification when executing the program.
According to a seventh aspect of embodiments of the present specification, there is provided a server comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of any of the embodiments of the present specification when the program is executed by the processor.
According to an eighth aspect of embodiments of the present description, there is provided a cash collection system, the system including a client and a server;
the client is used for acquiring face images of at least one payer user and sending the face images to the server;
the server side is used for receiving the face image, carrying out face feature recognition on the face image, acquiring payment accounts bound with the recognized face features according to recognition results, determining payable amount of each payment account and informing the payment accounts, wherein the payable amount is calculated and obtained based on the total amount of collection and the number of payers.
By applying the scheme of the embodiment of the specification, after the payee acquires the face image of the user of the payer through the terminal, the face image is sent to the server, the server performs face feature recognition on the face image, obtains payment accounts bound with the recognized face features according to the recognition result, determines the payable amount of each payment account, and then sends a payment request to the payment accounts. The collection method provided by the embodiment of the specification determines the payment account through face recognition, so that collection to multiple persons can be more convenient and quick, and the collection method is suitable for various scenes.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the specification and together with the description, serve to explain the principles of the specification.
FIG. 1a is an application scenario diagram of a multi-person checkout according to one embodiment of the present disclosure;
FIG. 1b is a flow chart of a method of collecting funds in accordance with one embodiment of the disclosure;
FIG. 2 is a flow chart of a method of collecting funds in accordance with one embodiment of the disclosure;
FIG. 3 is a flow chart of a method of collecting funds in accordance with one embodiment of the disclosure;
FIG. 4 is a schematic diagram of a multi-person cash register in accordance with one embodiment of the present disclosure;
FIG. 5 is a timing diagram of a method of collecting money according to one embodiment of the present disclosure;
FIG. 6 is a block diagram of the structural logic of a cash register device according to one embodiment of the present disclosure;
FIG. 7 is a block diagram of the structural logic of a cash register device according to one embodiment of the present disclosure;
FIG. 8 is a block diagram of the structural logic for a terminal device according to one embodiment of the present disclosure;
FIG. 9 is a block diagram of the structural logic for a server according to one embodiment of the present disclosure;
FIG. 10a is a schematic diagram of a cash register system according to one embodiment of the present disclosure;
FIG. 10b is a schematic diagram of a cash register system according to one embodiment of the present disclosure;
FIG. 10c is a schematic diagram of a cash register system according to one embodiment of the present disclosure.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present specification. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present description as detailed in the accompanying claims.
The terminology used in the description presented herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the description. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used in this specification to describe various information, these information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, the first information may also be referred to as second information, and similarly, the second information may also be referred to as first information, without departing from the scope of the present description. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context.
With the popularity of off-line payments, it is becoming more common for one person to pay for additional payments, such as the usual AA payments. After a meal, team activities, or organizational activities, one of the people often pays before collecting money from the other people. The present multi-person cash collection mainly comprises the following two modes, namely, a user initiates a cash collection request through an application program with a multi-person cash collection function, fills in cash collection amount and number of people, calculates the payable amount of each target payer, and then generates a cash collection code, and the target payer can finish payment by identifying the cash collection code. However, this approach is cumbersome, especially when the number of target payers is large, which is not convenient. Yet another way to collect funds to multiple persons is to initiate a collect to multiple persons within a group application, determine the amount of money to collect, and select a target payer from among the group members and then create a collect to multiple persons. This approach requires that the target payee must be within the same group and not be available in many scenarios.
Based on this, the embodiment of the present disclosure provides a collection method, where after a payee collects a face image of a user of a payer through a terminal, the face image is sent to a server, the server identifies the face image, obtains payment accounts bound with the identified face features according to an identification result, determines an amount due for each payment account, and then sends a collection request to the payment accounts. The collection method provided by the embodiment of the specification determines the payment account through face recognition, so that collection to multiple persons can be more convenient and quick, and the collection method is suitable for various scenes.
Fig. 1a is a use scenario of the collection method provided in the embodiment of the present disclosure, and fig. 1b is a flow chart of the collection method. The method may comprise the steps of:
s102, a payee client acquires a face image of at least one payer user and sends the face image to a server;
s104, the server performs face feature recognition on the face image, obtains a payment account bound with the recognized face feature according to a recognition result, determines the payable amount of the payment account and informs the payment account, wherein the payable amount is calculated and obtained based on the total collection amount and the number of payer users.
The payee obtains face images of target users through the client 11, then the terminal 11 sends the face images to the server 12, the server 12 stores face features of each user and corresponding payment accounts, the server identifies the face features from the received face images, then determines payment accounts bound with the identified face features according to the corresponding relation between the face features and the payment accounts, determines payable amount of each payment account, then sends a payment request to the user client 13 corresponding to each payment account, and the payer user can finish payment after clicking confirmation on the client 13. The payable amount is calculated based on the total amount of the collection and the number of the payors, and the payable amount can be calculated through the client side or the server side.
The following processing procedure from the payee's client side introduces the payee method provided by the embodiments of the present specification, as shown in fig. 2, which may include the steps of:
s202, acquiring face images of at least one payer user;
s204, sending the face image to a server side so that the server side can recognize the face image, acquiring a payment account bound with the recognized face image according to a recognition result, determining the payable amount of the payment account and informing the payment account, wherein the payable amount is calculated and obtained based on the collection amount and the number of payer users.
When the payee needs to collect money from multiple people, the payee can acquire a face image of the payer user through a client installed on the terminal. The step of obtaining the face image of the user of the payer by the client may be performed after the user clicks a control in the client, or may be performed after the user triggers an instruction to enter a page of the APP, which may be specifically set according to an actual scene. When the face images of the payer users are acquired, the payee can scan the face of each payer user one by one to acquire the face images of the payer users, or acquire the face images of all the payer users at the same time, and generally, when the payee gathers meals or acts together, a collective photo is shot, and then the payee can acquire the face images of all the payer users in the shooting process. Of course, in some cases, the terminal device of the payee stores a photo or a collective photo of the payer user, and the face image of the payer user may be directly obtained from the existing photo. After the face image of the user of the payer is obtained, the client can send the face image to the server, the server can identify the face features of the face image, then the payment account bound by the identified face features and the payable amount of each payment account are determined according to the corresponding relation between the face features of each user and the payment accounts stored in advance, and then each payment account is notified. Wherein the amount due for each payment account is determined based on the total amount collected and the number of payors. The payable amount of each payment account can be the same, for example, AA collection, or different, for example, account can be distinguished according to preset account dividing rules, and the calculation method can be specifically set according to actual conditions. It will be appreciated that the amount payable for each payment account may be calculated by the client or by the server, and the description is not limited. The payable amount of each account can be calculated by the client and then sent to the server, for example, the payee can input the total amount and the total number of payable through the client, then a calculation method is set, the client calculates the payable amount, and then the payable amount is sent to the server. Of course, the payable amount of each account can also be calculated by the server, the client only needs to send the total amount of money to be collected and the distribution mode to the server, and the server calculates the payable amount of each payment account according to the number of payers and the account dividing rule, and then sends the collection request.
Of course, since face recognition may sometimes have mistakes, in order to ensure that the payment account acquired by the server is correct, in some embodiments, the server extracts the face feature from the face image to identify, and after acquiring the payment account bound to the identified face feature, returns the payment account to the client, and after receiving the payment account, the client generates a collection group including the payment account, and then displays the collection group to the payee, so that the payee verifies the payment account. The collection group may further include some personal information of the user bound to the payment account, such as a name, a photo, a contact, etc. of the user, so that the payee confirms whether the payment account is correct according to the payment account displayed in the collection group and the user information bound to the payment account.
In some cases, if the payee finds that the payment account returned by the server has errors, the payee can input an update operation for adding or deleting the payment accounts in the collection group, and then adjust the payable amount of each payment account according to the updated payment accounts of the collection group. For example, the server may recognize the user a as B due to the false recognition when recognizing the face image, and returns the payment account of B, where the payee finds that B is not the payer, so that the payee may delete the payment account of B in the payee group. Of course, the payee may also add the payment account to the collection set by himself or herself via the client. After the payee modifies and adjusts the payment account in the collection group and confirms that the payment account is correct, the modified collection group and the adjusted payable amount can be sent to the server, and after the server receives the modified collection group and the adjusted payable amount, a collection request is sent to the payment account in the modified collection group, wherein the collection request contains payable amount information.
The following describes the collection method according to the embodiment of the present disclosure with reference to the processing procedure from the server side in fig. 3, where the method may include the following steps:
s302, receiving a face image of at least one payer user, and carrying out face feature recognition on the face image;
s304, acquiring a payment account bound with the identified face features according to the identification result;
s306, determining the payable amount of each payment account and informing the payment account, wherein the payable amount is calculated and obtained based on the total collection amount and the payment party number.
After the client acquires the face image of the user of the payer, the face image is sent to the server, after the server receives the face image of the user of the payer, the face features are extracted from the face image, the extracted face features are identified, then the payment account bound with the extracted face features is obtained according to the corresponding relation between the prestored face features and the payment account of the user, the payable amount of each payment account is determined, and a collection request is sent to each payment account. The payable amount of each account is calculated according to the total amount input by the user and the number of payors. The payable amount can be calculated by the client and then sent to the server, or the client can send the total amount and the number of people to the server, and the server calculates. Of course, the payable amounts of the payors may be the same or different, and the calculation method may be specifically set according to actual requirements.
Because face recognition may be misidentified, in order to ensure that the obtained payment account is accurate, in some embodiments, the obtained payment account may be revised in conjunction with some strong verification logic. After the payment account bound by the face features extracted from the face image is obtained, the server side can respectively obtain the face image sender and the appointed information of the user bound by the payment account, then judge whether the obtained payment account is correct according to the appointed information, and correct the payment account according to the judgment result, wherein the appointed information can be personal information of the user, such as gender and age, address book information of the user, geographical position information and the like. For example, in some embodiments, after obtaining the payment account, the server may obtain real-time geographic location information of the face image sender and the user bound to the payment account, and then determine whether the geographic location information of the face image sender is matched with the geographic location information of the user bound to the payment account, and determine whether the obtained payment account is correct according to the matching result. For example, by identifying the face image, A, B, C, D is obtained for the obtained payment account, the server obtains the geographical location information of the face image sender E, determines that the face image sender E is in beijing at the moment, then obtains A, B, C, D geographical location information, finds A, B, C that both are in beijing, and D is in guangzhou, the distance between the two is far, which means that the probability that misidentification is unlikely to occur at the moment in beijing at D is relatively high, at this moment, the server deletes D, and the final payment account is A, B, C.
Of course, in some embodiments, address book information of the face image sender E may be acquired, and whether the acquired payment account is correct may be determined according to the address book information of the face image sender E. For example, the accounts paid by face recognition are A, B, C, D, wherein A, B, C are in the address book of E, D is neither in the address book of E nor in the address book of A, B, C, and there is no communication record with other people, at this time, D may be misidentified, so D may be deleted, and the payment account obtained finally is A, B, C.
Of course, the payment account obtained by the server through face recognition may be misidentified, so that after the server obtains the payment account, the server may return the payment account to the client, and the client may generate a collection group including the payment account and display the collection group to the payee, so that the payee further determines whether the payment account is correct. After confirming that the payment account is correct, the user can send a confirmation message through the client, and after receiving the confirmation message, the server sends a collection request to the payment account to inform the payment account of the amount due.
In some embodiments, if the user perceives that the payment account of the collection group is wrong or incomplete after seeing the collection group, the user may manually modify or add the payment account of the collection group through the client, the client may adjust the payable amount of each payment account according to the updated collection group, then send the updated collection group and the adjusted payable amount to the server, the server may determine the payable amount of each payment account, and then notify the payment account of the updated collection group.
According to the collection method in the embodiment of the specification, the face image of the user of the payer is acquired, the face image is identified, and the payment account is determined, so that the payment account of the user of the payer is determined, the collection message is sent, simplicity and rapidness are realized, the payer is not required to be in the same group or friends of the payee, and the application scene is wider.
In order to further explain the collection method in the embodiments of the present specification, the following is explained in detail with reference to one specific embodiment.
Many third party paymate such as payment treasures all possess the function of collecting money to many people or AA, but the technique of target to many people collection money is comparatively loaded down with trivial details and has the restriction to the use scene, and is not so convenient and fast. The embodiment of the present disclosure provides a collection method, in which a general collection flow is shown in fig. 4, after a user enters an APP client, the user may click a scan button of a client interface, then collect a face image of a payer user and send the face image to a server, the server identifies face features in the face image, determines a payment account bound with the face features according to an identification result, returns the payment account to the client, and the client creates a collection group including the payment account and displays the user. The user can modify the payment accounts of the collection group through the client, then input the collection total amount to the number of people, the client calculates the payable amount of each payment account, then the payment accounts and payable amounts in the collection group are sent to the server, and the server sends a collection request to each payment account in the collection group, wherein the collection request comprises payable amounts. After the payer clicks the collection request and confirms, the collection is completed. In a specific collection process, as shown in fig. 5, a payee clicks a scan button of a client (S501), and the client collects a face image of a user of a payer and transmits the face image to a server (S502). The server extracts the face features from the face image and obtains the payment account bound with the face features (S503), then the server obtains personal information, such as geographical location information and address book information, of the user bound with the payment account, and then determines whether the obtained payment account is correct according to the personal information and in combination with some strong verification logic, and corrects the payment account (S504). The server sends the modified payment account to the client (S505), and the client creates a collection group and presents the collection group to the payee (S506). The payee performs update operations such as deletion and addition of the payment accounts in the collection group (S507), inputs the collection amount and the number of payees (S508), calculates the amount due for each payment account based on the collection amount and the number of payees (S509), and then transmits the updated payment accounts in the collection group and the amount due for each payment account to the payment system (S5010), and the payment system transmits a collection request including the amount due information to each payment account in the collection group (S5011). After the payer clicks the collection request and confirms, the collection can be completed.
The various technical features in the above embodiments may be arbitrarily combined as long as there is no conflict or contradiction between the combinations of the features, but are not described in detail, so that the arbitrary combination of the various technical features in the above embodiments also falls within the scope of the disclosure of the present specification.
As shown in fig. 6, which is a cash register device according to one embodiment of the present disclosure, the device 60 may include:
an acquisition module 61, configured to acquire a face image of at least one payer user;
and the sending module 62 is configured to send the face image to a server, so that the server performs face feature recognition on the face image, obtains a payment account bound with the recognized face feature according to a recognition result, determines an amount payable of the payment account, and notifies the payment account, where the amount payable is calculated and obtained based on a collection amount and the number of payer users.
In one embodiment, after the face image is sent to the server, the method further includes:
receiving the payment account sent by the server;
a collection group including the payment account is generated and displayed to a user.
In one embodiment, after displaying the collection group to the user, further comprising:
and performing an updating operation of adding and deleting the payment accounts in the collection group according to the input instruction of the user so as to adjust the payable amount of each payment account according to the updated payment accounts of the collection group.
In one embodiment, further comprising: and sending the updated payment accounts and the adjusted payable amount to the server so that the server determines the payable amount of each payment account and notifies the updated payment accounts.
In one embodiment, the acquiring the face image of the payer user is performed after receiving an instruction from the user to trigger the designated control.
As shown in fig. 7, which is a cash register device according to one embodiment of the present disclosure, the device 70 may include:
a recognition module 71, configured to receive a face image of at least one payer user, and perform face feature recognition on the face image;
an obtaining module 72, configured to obtain a payment account bound to the identified face feature according to the identification result;
and a notification module 73 for determining an amount due for each payment account and notifying the payment account, wherein the amount due is calculated based on the total amount and the number of payer users.
In one embodiment, after obtaining the payment account bound to the target face feature, further comprising:
respectively acquiring the appointed information of the face image sender and the user bound with the payment account,
judging whether the obtained payment account is correct or not according to the appointed information;
and modifying the payment account according to the judgment result.
In one embodiment, the specified information is geographic location information,
judging whether the acquired payment account is correct or not according to the specified information comprises:
judging whether the obtained geographic position information of the face image sender is matched with the geographic position information of the user bound with the payment account;
and judging whether the obtained payment account is correct or not according to the matching result.
In one embodiment, the specified information is address book information,
judging whether the acquired payment account is correct or not according to the specified information comprises:
and judging whether the acquired payment account is correct or not according to the facial image sender and address book information of the user bound with the payment account.
In one embodiment, before determining the amount due for each payment account and informing the payment account, further comprises:
and sending the payment account to a client so that the client generates a collection group comprising the payment account and displays the collection group to a user.
In one embodiment, after sending the payment account to the client, further comprising:
receiving updated collection groups of the users returned by the client and adjusted payable amount of each payment account;
the amount due for each payment account is determined and the updated payment accounts in the collection are notified.
Specific details of the implementation process of the functions and roles of each module in the device are shown in the implementation process of the corresponding steps in the method, and are not repeated here.
For the device embodiments, reference is made to the description of the method embodiments for the relevant points, since they essentially correspond to the method embodiments. The apparatus embodiments described above are merely illustrative, wherein the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purposes of the present description. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
Embodiments of the present description apparatus may be applied to a computer device, such as a server or a smart terminal. The apparatus embodiments may be implemented by software, or may be implemented by hardware or a combination of hardware and software. Taking software implementation as an example, the device in a logic sense is formed by reading corresponding computer program instructions in the nonvolatile memory into the memory through a processor of the file processing where the device is located. In terms of hardware, as shown in fig. 8, a hardware structure diagram of a terminal device where the apparatus of the present disclosure is located is shown in fig. 8, and besides the processor 802, the memory 804, the network interface 806, the nonvolatile memory 808, and the camera module 8010 shown in fig. 8, a server or an electronic device where the apparatus is located in an embodiment may generally include other hardware according to an actual function of the computer device, which will not be described herein.
As shown in fig. 9, a hardware structure diagram of a server where the apparatus of the present disclosure is located, except for the processor 902, the memory 904, the network interface 906, and the nonvolatile memory 908 shown in fig. 9, where the server or the electronic device where the apparatus is located in the embodiment generally includes other hardware according to the actual functions of the computer device, which will not be described herein.
Accordingly, the present specification embodiment also provides a computer storage medium having a program stored therein, which when executed by a processor, implements the method in any of the above embodiments.
The present embodiment also provides a checkout system, as shown in fig. 10a, comprising a client 1010 and a server 1020,
the client 1010 is configured to obtain a face image of at least one payer user, and send the face image to the server 1020;
the server 1020 is configured to receive the face image, identify face features of the face image, obtain payment accounts bound to the identified face features according to the identification result, determine an amount due for each payment account, and notify the payment account, where the amount due is calculated and obtained based on a total amount of collection and the number of payers.
In one embodiment, the server 1020 as depicted in fig. 10b includes a collection module 1021 and an identification module 1022,
after the client 1010 obtains the face image of the user of the payer, the face image is sent to the identification module 1021;
the recognition module 1021 is configured to receive the face image, perform face feature recognition on the face image, and send the recognized face feature to the collection module 1022;
the collection module 1022 is configured to obtain payment accounts bound to the identified face features, determine an amount due for each payment account, and notify the payment accounts.
In one embodiment, as shown in fig. 10c, the server 1020 further includes a correction module 1023, configured to receive the payment account sent by the collection module, obtain personal information of the face image sender and the user bound to the payment account, determine whether the obtained payment account is correct according to the personal information, and modify the payment account according to the determination result.
The present application may take the form of a computer program product embodied on one or more storage media (including, but not limited to, magnetic disk storage, CD-ROM, optical storage, etc.) having program code embodied therein. Computer-usable storage media include both permanent and non-permanent, removable and non-removable media, and information storage may be implemented by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to: phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, may be used to store information that may be accessed by the computing device.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
The foregoing description of the preferred embodiments of the present disclosure is not intended to limit the disclosure, but rather to cover all modifications, equivalents, improvements and alternatives falling within the spirit and principles of the present disclosure.
Claims (14)
1. A method of collecting money applicable to a server, the method comprising:
receiving a face image of at least one payer user, and carrying out face feature recognition on the face image;
acquiring a payment account bound with the identified face features according to the identification result;
respectively acquiring the appointed information of the face image sender and the appointed information of the user bound by the payment account;
verifying whether a payment account acquired based on the identification result is correct or not based on the matching condition between the specified information of the face image sender and the specified information of the user bound to the payment account and/or the matching condition between the specified information of the user bound to the payment account;
and if the payment sum is correct, determining the payable amount of each payment account and informing each payment account, wherein the payable amount is calculated based on the total collection amount and the payment party number.
2. The method of claim 1, the designation information including address book information, the payment account including a plurality of, verifying whether a payment account acquired based on the recognition result is correct based on a match between designation information of the face image sender and the designation information of a user to whom the payment account is bound, and a match between designation information of a user to whom the payment account is bound, comprising:
for any one of the plurality of payment accounts, if the user bound by the any one payment account is judged not to be in the address book of the face sender based on the matching condition of the address book information of the face image sender and the address book information of the user bound by the any one payment account, and the any one payment account is judged not to be in the address books of other users except the user among the users bound by the plurality of payment accounts based on the matching condition between the appointed information of the user bound by the plurality of payment accounts, the any one payment account is judged to be incorrect based on the identification result.
3. The method of claim 1, the specification information including geographical location information, the verifying whether the payment account obtained based on the recognition result is correct based on a match between the specification information of the face image sender and the specification information of the user to which the payment account is bound, comprising:
for any one of the payment accounts, if the distance between the position of any one of the payment accounts and the position of the face sender is determined to be more than a preset distance based on the geographic position information of the face image sender and the geographic position information of the user bound to the any one of the payment accounts, the fact that any one of the payment accounts acquired based on the identification result is incorrect is determined.
4. A method according to claim 2 or 3, deleting any one of the payment accounts if it is determined that the any one of the payment accounts obtained based on the identification result is incorrect.
5. The method of any of claims 1-4, prior to determining the amount due for each payment account and informing the payment account, the method further comprising:
sending the payment account to a client so that the client generates a collection group comprising the payment account and displays the collection group to a user;
the determining the payable amount of each payment account and notifying the payment account comprises:
receiving updated collection groups of the users returned by the client and adjusted payable amount of each payment account;
an adjusted payable amount for each payment account in the updated collection set is determined and each payment account in the updated collection set is notified.
6. A method of collecting funds for a client, the method comprising:
acquiring face images of at least one payer user;
the face image is sent to a server, so that the server carries out face feature recognition on the face image, a payment account bound with the recognized face feature is obtained according to a recognition result, and the appointed information of a face image sender and the appointed information of a user bound with the payment account are respectively obtained; verifying whether a payment account acquired based on the identification result is correct or not based on the matching condition between the specified information of the face image sender and the specified information of the user bound to the payment account and/or the matching condition between the specified information of the user bound to the payment account; and if the payment sum is correct, determining the payable amount of each payment account and informing each payment account, wherein the payable amount is calculated based on the total collection amount and the payment party number.
7. The method of claim 6, after sending the face image to the server, the method further comprising:
receiving the payment account sent by the server;
a collection group including the payment account is generated and displayed to a user.
8. The method of claim 7, after displaying the collection group to a user, the method further comprising:
and performing an updating operation of adding and deleting the payment accounts in the collection group according to the input instruction of the user so as to adjust the payable amount of each payment account according to the updated payment accounts of the collection group.
9. The method of claim 8, the method further comprising:
and sending the updated payment accounts and the adjusted payable amount to the server so that the server determines the payable amount of each payment account and notifies the updated payment accounts.
10. The method of claim 6, wherein the acquiring of the face image of the at least one payer user is performed upon receiving an instruction from the user to trigger a specified control.
11. A checkout device, the device adapted for use at a server, the device comprising:
the identification module is used for receiving the face image of at least one payer user and carrying out face feature identification on the face image; acquiring a payment account bound with the identified face features according to the identification result;
the acquisition module is used for respectively acquiring the appointed information of the face image sender and the appointed information of the user bound by the payment account;
the verification module is used for verifying whether the payment account acquired based on the identification result is correct or not based on the matching condition between the appointed information of the face image sender and the appointed information of the user bound with the payment account and/or the matching condition between the appointed information of the user bound with the payment account;
and the notification module is used for determining the payable amount of each payment account and notifying each payment account if the payable amount is correct, wherein the payable amount is calculated based on the total collection amount and the number of the payers.
12. A checkout device, the device being adapted for use with a client, the device comprising:
the acquisition module is used for acquiring face images of at least one payer user;
the sending module is used for sending the face image to a server so that the server can identify the face image, and according to the identification result, a payment account bound with the identified face image is obtained, and the appointed information of the face image sender and the appointed information of a user bound with the payment account are respectively obtained; verifying whether a payment account acquired based on the identification result is correct or not based on the matching condition between the specified information of the face image sender and the specified information of the user bound to the payment account and/or the matching condition between the specified information of the user bound to the payment account; and if the payment sum is correct, determining the payable amount of each payment account and informing each payment account, wherein the payable amount is calculated based on the total collection amount and the payment party number.
13. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of any one of claims 1-5 or 6-10 when the program is executed.
14. A cash collection system, the system comprising a client and a server;
the server is used for executing the method of any one of claims 1-5;
the client being adapted to perform the method of any of claims 6-10.
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| CN110738500A (en) * | 2019-09-29 | 2020-01-31 | 湖北三六五优米网络有限公司 | Non-sensing face-brushing payment system, method, server and medium |
| CN110889681A (en) * | 2019-10-31 | 2020-03-17 | 支付宝(杭州)信息技术有限公司 | Anonymous transaction method and system based on digital currency |
| CN113012370A (en) * | 2021-02-09 | 2021-06-22 | 中国建设银行股份有限公司 | Face payment method and device, electronic equipment and readable storage medium |
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| CN114549013A (en) * | 2022-03-01 | 2022-05-27 | 支付宝(杭州)信息技术有限公司 | Face brushing payment method and device and face brushing equipment |
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| US20140279453A1 (en) * | 2013-03-15 | 2014-09-18 | Bank Of America Corporation | Bill Payment Using Check Image |
| CN104574058A (en) * | 2013-10-25 | 2015-04-29 | 腾讯科技（深圳）有限公司 | Fingerprint payment method and related equipment and system |
| CN104951935B (en) * | 2014-03-25 | 2021-03-09 | 北京小米支付技术有限公司 | Account splitting method and device |
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| US20180197167A1 (en) * | 2017-01-11 | 2018-07-12 | Early Warning Services, Llc | System and method for person-to-person payments |
| JP6301519B1 (en) * | 2017-02-21 | 2018-03-28 | 株式会社三井住友銀行 | Face recognition fund transfer system |
| CN108256853B (en) * | 2018-01-11 | 2021-11-30 | 维沃移动通信有限公司 | Payment method and mobile terminal |
| CN109447621A (en) * | 2018-09-26 | 2019-03-08 | 百度在线网络技术（北京）有限公司 | Method of payment and equipment |
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