CN110838013A - Data processing method, device, system and computer readable medium - Google Patents
Data processing method, device, system and computer readable medium Download PDFInfo
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- 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
- 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
Abstract
The present disclosure provides a data processing method for an electronic shopping cart comprising an image acquisition device, the method comprising: the method comprises the steps of responding to the first operation of a user and meeting a first preset condition, and controlling an image acquisition device to acquire first image data of the user; responding to a second operation of the user and meeting a second preset condition, and controlling the image acquisition device to acquire second image data of the user; and executing a specific function corresponding to the second operation when the matching degree of the first image data and the second image data satisfies a preset threshold.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a data processing method, a data processing apparatus, a data processing system, and a computer readable medium.
Background
With the rapid development of electronic technology, more and more electronic devices are applied to various fields such as work, life and the like, and great convenience is brought to people. For example, in the shopping payment process of the user, the electronic shopping cart with the payment function can bring great convenience to the user, the shopping experience of the user is improved, and the labor cost is saved for merchants. However, since the electronic shopping cart with payment function has hidden danger of property safety in the using process, how to improve the property safety of the user in the using process of the electronic shopping cart becomes a problem which needs to be solved at present.
In the process of realizing the concept disclosed by the invention, the inventor finds that at least the following problems exist in the prior art, the payment function of the existing electronic shopping cart is single, and the payment safety of a user cannot be ensured, so that the user has great potential safety hazard in the process of using the electronic shopping cart.
Disclosure of Invention
In view of the above, the present disclosure provides an optimized data processing method and data processing system.
One aspect of the present disclosure provides a data processing method for an electronic shopping cart including an image acquisition device, the method including: the method comprises the steps of responding to a first operation of a user to meet a first preset condition, controlling an image acquisition device to acquire first image data of the user, responding to a second operation of the user to meet a second preset condition, controlling the image acquisition device to acquire second image data of the user, and executing a specific function corresponding to the second operation under the condition that the matching degree of the first image data and the second image data meets a preset threshold value.
According to the embodiment of the disclosure, the electronic shopping cart can be used for realizing a plurality of payment functions, and the specific function comprises at least one of the plurality of payment functions.
According to an embodiment of the present disclosure, the above controlling the image capturing apparatus to capture the second image data of the user in response to the second operation of the user satisfying the second preset condition includes: and in response to a second operation of the user meeting a second preset condition, determining whether the specific function is in an available state, and controlling the image acquisition device to acquire second image data of the user if the specific function is in the available state.
According to an embodiment of the present disclosure, the method further includes: and sending prompt information under the condition that the matching degree of the first image data and the second image data does not meet the preset threshold value.
According to an embodiment of the present disclosure, the method further includes: deleting the first image data and/or the second image data.
According to an embodiment of the present disclosure, the first image data of the user includes first facial image data of the user, and the second image data of the user includes second facial image data of the user; the method further comprises the following steps: and determining whether the matching degree of the first face image data and the second face image data meets a preset threshold value or not through a face recognition technology.
Another aspect of the present disclosure provides a data processing apparatus for an electronic shopping cart including an image acquisition device, the apparatus comprising: the device comprises a first acquisition module, a second acquisition module and an execution module. The image acquisition device is controlled by the first acquisition module to acquire first image data of a user in response to the fact that a first operation of the user meets a first preset condition, the image acquisition device is controlled by the second acquisition module to acquire second image data of the user in response to the fact that a second operation of the user meets a second preset condition, and the execution module executes a specific function corresponding to the second operation under the condition that the matching degree of the first image data and the second image data meets a preset threshold value.
According to the embodiment of the disclosure, the electronic shopping cart can be used for realizing a plurality of payment functions, and the specific function comprises at least one of the plurality of payment functions.
According to an embodiment of the present disclosure, the second obtaining apparatus includes: a determination submodule and a first acquisition submodule. The determining sub-module determines whether the specific function is in an available state in response to a second operation of the user meeting a second preset condition, and the first acquiring sub-module controls the image acquiring device to acquire second image data of the user when the specific function is in the available state.
According to an embodiment of the present disclosure, the apparatus further includes: and the sending module is used for sending prompt information under the condition that the matching degree of the first image data and the second image data does not meet the preset threshold value.
According to an embodiment of the present disclosure, the apparatus further includes: a deletion module that deletes the first image data and/or the second image data.
According to an embodiment of the present disclosure, the first image data of the user includes first facial image data of the user, and the second image data of the user includes second facial image data of the user, the apparatus further includes: the determining module is used for determining whether the matching degree of the first face image data and the second face image data meets a preset threshold value through a face recognition technology.
Another aspect of the disclosure provides a non-volatile storage medium storing computer-executable instructions for implementing the method as described above when executed.
Another aspect of the disclosure provides a computer program comprising computer executable instructions for implementing the method as described above when executed.
According to the embodiment of the disclosure, the problem that the payment function of the electronic shopping cart is single and the payment safety of a user cannot be guaranteed in the prior art can be solved at least partially, so that the user has great potential safety hazard in the process of using the electronic shopping cart, the payment settlement function of the electronic shopping cart can be optimized, the payment safety of the user is guaranteed, and the technical effect of the use experience of the user is improved.
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The above and other objects, features and advantages of the present disclosure will become more apparent from the following description of embodiments of the present disclosure with reference to the accompanying drawings, in which:
FIGS. 1A-1B schematically illustrate application scenarios of a data processing method and processing system according to embodiments of the present disclosure;
2A-2B schematically illustrate a flow diagram of a data processing method according to an embodiment of the disclosure;
FIG. 3 schematically shows a flow chart of a data processing method according to another embodiment of the present disclosure;
FIG. 4 schematically shows a flow diagram of a data processing method according to yet another embodiment of the present disclosure;
FIG. 5A schematically illustrates a schematic diagram of facial image data matching according to an embodiment of the present disclosure;
5B-5C schematically illustrate a flow chart for acquiring a face image according to an embodiment of the present disclosure;
6A-6B schematically illustrate block diagrams of data processing apparatus according to embodiments of the present disclosure;
FIG. 7 schematically shows a block diagram of a data processing apparatus according to another embodiment of the present disclosure;
FIG. 8 schematically shows a block diagram of a data processing apparatus according to yet another embodiment of the present disclosure; and
FIG. 9 schematically shows a block diagram of a computer system suitable for data processing according to an embodiment of the present disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.). Where a convention analogous to "A, B or at least one of C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B or C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.). It will be further understood by those within the art that virtually any disjunctive word and/or phrase presenting two or more alternative terms, whether in the description, claims, or drawings, should be understood to contemplate the possibilities of including one of the terms, either of the terms, or both terms. For example, the phrase "a or B" should be understood to include the possibility of "a" or "B", or "a and B".
An embodiment of the present disclosure provides a data processing method for an electronic shopping cart including an image acquisition device, the method including: the method includes the steps of controlling an image acquisition device to acquire first image data of a user in response to a first operation of the user satisfying a first preset condition, controlling the image acquisition device to acquire second image data of the user in response to a second operation of the user satisfying a second preset condition, and executing a specific function corresponding to the second operation in the case that a matching degree of the first image data and the second image data satisfies a preset threshold.
Fig. 1A to 1B schematically show application scenarios of a data processing method and a processing system according to an embodiment of the present disclosure. It should be noted that fig. 1 is only an example of a scenario in which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, but does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios.
As shown in fig. 1A-1B, the application scenario 100 may include, for example, an electronic shopping cart 110.
According to the embodiment of the present disclosure, the electronic shopping cart 110 has a function of recognizing commodities, and for example, when a user shops in a supermarket, the user can use the electronic shopping cart 110 to recognize commodities to be purchased (for example, scanning a barcode of the commodities or performing image recognition on the commodities), and place the recognized commodities into the electronic shopping cart 110.
The electronic shopping cart 110 of the embodiment of the present disclosure has a payment settlement function, for example, after the electronic shopping cart 110 identifies a commodity, price information of the commodity can be acquired, and payment information is generated based on the acquired price information of the commodity, so that a user can perform payment settlement.
In the embodiment of the present disclosure, the electronic shopping cart 110 can have, for example, an image acquiring device 111, and the image acquiring device 111 can be, for example, a camera for acquiring image information of the user, for example, acquiring a facial image of the user through the image acquiring device 111. The electronic shopping cart can acquire the image of the user through the image acquisition device 111 before the user uses the electronic shopping cart 111, acquire the image of the user again when the user performs settlement, and judge whether the user using the electronic shopping cart 111 and the user performing the settlement are the same user by comparing the user images acquired twice.
In the embodiment of the present disclosure, the electronic shopping cart 110 may include a plurality of settlement methods, for example, a secret payment method may be included, and the user may pay for shopping in the secret payment method, so as to simplify the payment process and improve the payment efficiency. Therefore, in order to ensure the security of the privacy-exempt payment function, it is necessary to confirm whether the user using the electronic shopping cart 110 and the user performing payment are the same user, and to avoid property loss caused by the electronic shopping cart 110 being retired by other users and using the privacy-exempt payment function after the user logs in and uses the electronic shopping cart 110. Therefore, by acquiring the images of the user twice, it is determined whether the user using the electronic shopping cart 111 and the user performing payment are the same user, and if the user is the same user, the electronic shopping cart 110 can perform the privacy-free payment, thereby ensuring the payment safety.
Fig. 2A-2B schematically show a flow chart of a data processing method according to an embodiment of the present disclosure.
As shown in fig. 2A, the method includes operations S210 to S230.
In operation S210, in response to a first operation of a user satisfying a first preset condition, an image acquisition device is controlled to acquire first image data of the user.
In the embodiment of the present disclosure, the electronic shopping cart having the payment settlement function has, for example, an image acquisition device by which the electronic shopping cart can acquire image data of the user.
The first operation of the user may be, for example, an operation performed by the user with respect to an electronic shopping cart. For example, the electronic shopping cart may have a login device, by which a user may log in to the electronic shopping cart system, for example, wherein the first operation may be a click operation made by the user on the login device of the electronic shopping cart, and the click operation may be an operation made by the user to log in to the electronic shopping cart, quit using the shopping cart, or scan and identify goods using the shopping cart, make a payment settlement, or the like.
In the embodiment of the disclosure, the first preset condition is, for example, a login operation of a user to login the electronic shopping cart, and when the electronic shopping cart detects that the first operation of the user satisfies the first preset condition, the electronic shopping cart can respond to the login operation of the user and start the image acquisition device to acquire the first image data of the user.
The first image data may be an image of a body part of the user, for example, a face image of the user, and the electronic shopping cart may store the first image data of the user.
For example, the user may log in the electronic shopping cart system in a face-brushing manner, and at this time, the electronic shopping cart system may store the first image data when the user logs in a face-brushing manner. Or, when the user logs in the system of the electronic shopping cart in another way, for example, by a code scanning way, at this time, the electronic shopping cart may instruct the user to perform a face brushing operation, so as to obtain the first image data of the user.
In operation S220, the image acquisition device is controlled to acquire second image data of the user in response to a second operation of the user satisfying a second preset condition.
In the embodiment of the present disclosure, the second operation of the user may be, for example, a click operation made by the user with respect to the electronic shopping cart registration apparatus, and the click operation may be, for example, an operation made by the user to register the electronic shopping cart, quit using the shopping cart, or scan and identify a product using the shopping cart, make a payment settlement, or the like.
In the embodiment of the disclosure, the second preset condition is, for example, an operation of performing payment settlement by using the electronic shopping cart, and when the electronic shopping cart detects that the second operation of the user satisfies the second preset condition, the electronic shopping cart can respond to the payment settlement operation of the user and start the image obtaining device to obtain the second image data of the user.
For example, when the user needs to pay for the privacy-free payment, the user can click on a "go-to-settle" button in the electronic shopping cart, and the electronic shopping cart automatically acquires the second image data of the user.
The second image data may be an image of a body part of the user, for example, a face image of the user, and the electronic shopping cart may store the second image data of the user.
In operation S230, in case that the matching degree of the first image data and the second image data satisfies a preset threshold, a specific function corresponding to the second operation is performed.
According to the embodiment of the present disclosure, the matching degree may be, for example, a degree of similarity between the first image data and the second image data, and the matching degree can be used to determine whether the user performing the first operation and the user performing the second operation are the same user.
When the matching degree meets a preset threshold, the user performing the first operation and the user performing the second operation can be characterized as the same user, wherein the preset threshold may be a specific numerical value used for representing a comparison result of the first image data and the second image data.
In the disclosed embodiments, the electronic shopping cart can be used to implement a plurality of payment functions, with a particular function including at least one of the plurality of payment functions.
According to an embodiment of the present disclosure, the plurality of payment functions may include, for example, a password payment function, a secret payment exemption function, and the like, wherein the specific function may be the secret exemption payment function.
After the electronic shopping cart acquires the first image data and the second image data, the matching degree of the first image data and the second image data can be calculated, when the matching degree meets a preset threshold value, whether a user executing the first operation and a user executing the second operation are the same user or not is indicated, and at the moment, the electronic shopping cart can respond to the second operation of the user to execute a secret payment free function.
The electronic shopping cart of the embodiment of the disclosure acquires the first image data and the second image data of the user, calculates the matching degree of the first image data and the second image data, and executes a specific function, for example, a password-free payment function, when the matching degree meets a preset threshold. The user can realize the convenience of shopping process through the specific function of electron shopping cart, and electron shopping cart is through carrying out this specific function according to user's image data, guarantees user's payment safety, promotes user's use and experiences.
As shown in fig. 2B, operation S220 includes S221 to S222.
In operation S221, it is determined whether the specific function is in an available state in response to a second operation of the user satisfying a second preset condition.
In the embodiment of the disclosure, after receiving the second operation of the user, the electronic shopping cart can further detect whether the specific function is in an available state by determining whether the second operation of the user satisfies a second preset condition, for example, whether the user has enabled the specific function, for example, whether the user has enabled the privacy-exempt payment function is determined.
In operation S222, in case that the specific function is in an available state, the image acquisition device is controlled to acquire second image data of the user.
For example, when the electronic shopping cart detects that the user has enabled a specific function, for example, the user has authorized the secure payment exemption function, the electronic shopping cart can control the image acquisition device to acquire the second image data of the user.
Fig. 3 schematically shows a flow chart of a data processing method according to another embodiment of the present disclosure.
As shown in fig. 3, the method includes operations S210 to S230 and operations S310 to S320. Operations S210 to S230 are the same as or similar to the operations described above with reference to fig. 2A, and are not described again here.
In operation S310, in the case that the matching degree of the first image data and the second image data does not satisfy the preset threshold, the prompt information is transmitted.
According to the embodiment of the disclosure, when the matching degree of the first image data and the second image data does not satisfy the preset threshold, it indicates that the user performing the first operation and the user performing the second operation are not the same user, that is, the electronic shopping cart may be pushed away by another user and settled while the user logs in the system for use.
In this case, when the electronic shopping cart determines that the registered user and the settlement user are not the same user based on the image of the user, the electronic shopping cart can transmit the prompt information for prompting the illegal settlement use of the electronic shopping cart. The prompt message can be system alarm message, for example, when the electronic shopping cart sends out the alarm message, the electronic shopping cart can automatically turn off the specific function (for example, turn off the secret payment-free function), so as to avoid property loss. Or when the alarm information is sent out, the business personnel checks (for example, checks the suspicious electronic shopping cart settlement person), and the illegal use of the password-free payment function of the shopping cart is avoided.
In operation S320, the first image data and/or the second image data are deleted.
In the embodiment of the present disclosure, after acquiring the first image data and the second image data of the user, the electronic shopping cart calculates the matching degree by storing the first image data and the second image data as backup data. After the electronic shopping cart calculates the matching degree of the first image data and the second image data, or after the user finishes settlement or quits the system of the electronic shopping cart midway, the electronic shopping cart represents that the first image data or the second image data are no longer needed, at this moment, the first image data or the second image data can be deleted, the storage space of the electronic shopping cart is saved, and the image data of the user is prevented from being applied to other purposes, so that the safety of the personal information of the user is ensured.
Fig. 4 schematically shows a flow chart of a data processing method according to yet another embodiment of the present disclosure.
As shown in fig. 4, the method includes operations S210 to S230, operations S310 to S320, and operation S410. Operations S210 to S230 are the same as or similar to the operations described above with reference to fig. 2A, and operations S310 to S320 are the same as or similar to the operations described above with reference to fig. 3, and are not repeated herein.
In operation S410, it is determined whether a matching degree of the first and second face image data satisfies a preset threshold value through a face recognition technique.
In the embodiment of the present disclosure, the face recognition technology may be an application of an artificial intelligence technology, for example, and is used to compare face images and determine whether two face images are the same person.
For example, the first image data of the user includes first facial image data of the user, and the second image data of the user includes second facial image data of the user.
At this time, the matching degree of the first face image data and the second face image data of the user is judged through the face recognition technology, so that whether the first face image and the second face image are the same face of the user is judged, and whether the user executing the first operation and the user executing the second operation are the same user is judged.
Specifically, the specific description of determining the matching degree by the face recognition technology is as follows.
Fig. 5A schematically illustrates a schematic diagram of facial image data matching according to an embodiment of the present disclosure.
As shown in fig. 5A, the left image is first face image data of the user obtained when the user performs the first operation, and the right image is second face image data of the user obtained when the user performs the second operation, and whether the faces in the two images are the same user can be determined based on the facial features through a face recognition technology.
Fig. 5B-5C schematically show a flow chart for acquiring a face image according to an embodiment of the present disclosure.
As shown in fig. 5B, the operation of first acquiring a face includes: s501 to S507.
In operation S501, it may be that the electronic shopping cart is in an operable state, for example.
In operation S502, the user gets an electronic shopping cart.
In operation S503, the electronic shopping cart determines whether the user has performed a face brushing login. If the user performs a face-brushing login, operation S505 is performed, and if the user performs another login method, for example, a code-scanning login, operation S504 is performed.
In operation S504, a face picture is acquired. For example, when a user logs in the electronic shopping cart system in a code scanning mode, a user face collecting program is started to collect a user face image.
In operation S505, a face picture is recorded. When a user logs in the electronic shopping cart system by swiping a face, recording a face image of the user on which the user swipes.
In operation S506, the terminal reserves a picture for standby. The electronic shopping cart system stores a picture of the user's face for use in a subsequent face recognition process.
In operation S507, the first face collecting process is ended.
As shown in fig. 5C, the operation of acquiring the face for the second time includes: s508 to S517.
In operation S508, initially, it may be that the electronic shopping cart is in an operable state, for example.
In operation S509, the user initiates payment, which may be, for example, a settlement operation for the electronic shopping cart system after the user purchases a product.
In operation S510, it is determined whether the payment initiated by the user is a secret-free payment. If the user initiates the password-free payment, operation S511 is performed, and if the user does not initiate the password-free payment, operation S516 is performed.
In operation S511, a face picture is acquired. For example, when the user initiates the password-free payment, the face acquisition program of the user is started to acquire the face image of the user and the face image of the payment user.
In operation S512, the face pictures are compared. For example, the facial image acquired for the first time when the user logs in the electronic shopping cart system is compared with the facial image acquired for the second time when the user performs the privacy-free payment.
In operation S513, it is determined whether the two captured face images coincide. For example, whether the face of the login user is matched with the face of the payment user is judged through a face recognition technology. If not, operation S514 is performed, and if so, operation S516 is performed.
In operation S514, when the faces do not match, it indicates that the payment user of the login user is not the same user, and a system alarm is performed.
In operation S515, the system is checked manually by a loss prevention person when it alarms, preventing illegal use of the electronic shopping cart.
In operation S516, the face picture is deleted. For example, when the payment mode used by the user is not privacy-free payment, the user login face image acquired for the first time is deleted, or when the face image acquired for the first time is judged to be inconsistent with the face image acquired for the second time, the acquired face image of the user is not needed any more at this time, the face image acquired for the first time and the face image acquired for the second time can be deleted, or when the face images acquired for the first time and the face image acquired for the second time are inconsistent, after the system alarms and is manually checked, the face image of the user is not needed any more, and the face image acquired for the first time and the face image acquired for the second time can be deleted at this time.
In operation S517, the process of acquiring the face for the second time is ended.
Fig. 6A-6B schematically show block diagrams of data processing apparatuses according to embodiments of the present disclosure.
As shown in fig. 6A, the data processing apparatus 600 includes a first obtaining module 610, a second obtaining module 620, and an executing module 630.
The first obtaining module 610 may control the image obtaining apparatus to obtain the first image data of the user in response to the first operation of the user satisfying the first preset condition. According to an embodiment of the present disclosure, the first obtaining module 610 may, for example, perform operation S210 described above with reference to fig. 2A, which is not described herein again.
The second obtaining module 620 may control the image obtaining apparatus to obtain second image data of the user in response to a second operation of the user satisfying a second preset condition. According to the embodiment of the present disclosure, the second obtaining module 620 may perform, for example, the operation S220 described above with reference to fig. 2A, which is not described herein again.
The execution module 630 may execute a specific function corresponding to the second operation in a case where the matching degree of the first image data and the second image data satisfies a preset threshold.
According to an embodiment of the present disclosure, the data processing device 600 can be used in an electronic shopping cart that can be used to implement a variety of payment functions, with a particular function including at least one of the variety of payment functions.
According to the embodiment of the present disclosure, the execution module 630 may, for example, execute the operation S230 described above with reference to fig. 2A, which is not described herein again.
As shown in fig. 6B, the second obtaining module 620 includes a determining submodule 621 and a first obtaining submodule 622.
The determination sub-module 621 may determine whether the specific function is in an available state in response to the second operation of the user satisfying the second preset condition. According to the embodiment of the present disclosure, the determining sub-module 621 may, for example, perform the operation S221 described above with reference to fig. 2B, which is not described herein again.
The first acquiring sub-module 622 may control the image acquiring apparatus to acquire the second image data of the user in a case where the specific function is in an available state. According to the embodiment of the present disclosure, the first obtaining sub-module 622 may, for example, perform the operation S222 described above with reference to fig. 2B, which is not described herein again.
Fig. 7 schematically shows a block diagram of a data processing device according to another embodiment of the present disclosure.
As shown in fig. 7, the data processing apparatus 700 includes a first obtaining module 610, a second obtaining module 620, an executing module 630, a sending module 710, and a deleting module 720. The first obtaining module 610, the second obtaining module 620, and the executing module 630 are the same as or similar to the modules described above with reference to fig. 6A, and are not repeated here.
The sending module 710 may send the prompt message when the matching degree of the first image data and the second image data does not satisfy the preset threshold. According to the embodiment of the present disclosure, the sending module 710 may, for example, perform the operation S310 described above with reference to fig. 3, which is not described herein again.
The deletion module 720 may delete the first image data and/or the second image data. According to the embodiment of the present disclosure, the deleting module 720 may, for example, perform the operation S320 described above with reference to fig. 3, which is not described herein again.
Fig. 8 schematically shows a block diagram of a data processing device according to yet another embodiment of the present disclosure.
As shown in fig. 8, the data processing apparatus 800 includes a first obtaining module 610, a second obtaining module 620, an executing module 630, a sending module 710, a deleting module 720, and a determining module 810. The first obtaining module 610, the second obtaining module 620, and the executing module 630 are the same as or similar to the modules described above with reference to fig. 6A, and the sending module 710 and the deleting module 720 are the same as or similar to the modules described above with reference to fig. 7, and are not described again here.
The determining module 810 may determine whether the matching degree of the first face image data and the second face image data satisfies a preset threshold through a face recognition technology.
According to an embodiment of the present disclosure, the first image data of the user includes first facial image data of the user, and the second image data of the user includes second facial image data of the user.
According to an embodiment of the present disclosure, the determining module 810 may perform, for example, the operation S410 described above with reference to fig. 4, which is not described herein again.
Any number of modules, sub-modules, units, sub-units, or at least part of the functionality of any number thereof according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules, sub-modules, units, and sub-units according to the embodiments of the present disclosure may be implemented by being split into a plurality of modules. Any one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in any other reasonable manner of hardware or firmware by integrating or packaging a circuit, or in any one of or a suitable combination of software, hardware, and firmware implementations. Alternatively, one or more of the modules, sub-modules, units, sub-units according to embodiments of the disclosure may be at least partially implemented as a computer program module, which when executed may perform the corresponding functions.
For example, any plurality of the first obtaining module 610, the second obtaining module 620, the determining sub-module 621, the first obtaining sub-module 622, the executing module 630, the sending module 710, the deleting module 720 and the determining module 810 may be combined into one module to be implemented, or any one of the modules may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the first obtaining module 610, the second obtaining module 620, the determining submodule 621, the first obtaining submodule 622, the executing module 630, the sending module 710, the deleting module 720 and the determining module 810 may be at least partially implemented as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented by hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or implemented by any one of three implementations of software, hardware and firmware, or a suitable combination of any of them. Alternatively, at least one of the first obtaining module 610, the second obtaining module 620, the determining sub-module 621, the first obtaining sub-module 622, the executing module 630, the sending module 710, the deleting module 720 and the determining module 810 may be at least partially implemented as a computer program module, which when executed, may perform a corresponding function.
FIG. 9 schematically shows a block diagram of a computer system suitable for data processing according to an embodiment of the present disclosure. The computer system illustrated in FIG. 9 is only one example and should not impose any limitations on the scope of use or functionality of embodiments of the disclosure.
As shown in fig. 9, a computer system 900 according to an embodiment of the present disclosure includes a processor 901 which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)902 or a program loaded from a storage section 908 into a Random Access Memory (RAM) 903. Processor 901 may comprise, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 901 may also include on-board memory for caching purposes. The processor 901 may comprise a single processing unit or a plurality of processing units for performing the different actions of the method flows according to embodiments of the present disclosure.
In the RAM 903, various programs and data necessary for the operation of the system 900 are stored. The processor 901, the ROM 902, and the RAM 903 are connected to each other through a bus 904. The processor 901 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM 902 and/or the RAM 903. Note that the programs may also be stored in one or more memories other than the ROM 902 and the RAM 903. The processor 901 may also perform various operations of the method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.
According to embodiments of the present disclosure, method flows according to embodiments of the present disclosure may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 909, and/or installed from the removable medium 911. The computer program, when executed by the processor 901, performs the above-described functions defined in the system of the embodiment of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
The present disclosure also provides a computer-readable medium, which may be embodied in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer readable medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.
According to embodiments of the present disclosure, a computer readable medium may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer-readable signal medium may include a propagated data signal with computer-readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, optical fiber cable, radio frequency signals, etc., or any suitable combination of the foregoing.
For example, according to embodiments of the present disclosure, a computer-readable medium may include the ROM 902 and/or the RAM 903 described above and/or one or more memories other than the ROM 902 and the RAM 903.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.
The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.
Claims (14)
1. A data processing method for an electronic shopping cart, the electronic shopping cart including an image capture device, the method comprising:
the method comprises the steps of responding to the first operation of a user and meeting a first preset condition, and controlling an image acquisition device to acquire first image data of the user;
responding to a second operation of the user and meeting a second preset condition, and controlling the image acquisition device to acquire second image data of the user; and
and executing a specific function corresponding to the second operation when the matching degree of the first image data and the second image data meets a preset threshold value.
2. The method of claim 1, wherein the electronic shopping cart is operable to implement a plurality of payment functions, the particular function including at least one of the plurality of payment functions.
3. The method according to claim 1, wherein the controlling the image acquisition device to acquire the second image data of the user in response to the second operation of the user satisfying the second preset condition comprises:
determining whether the specific function is in an available state in response to a second operation of the user satisfying a second preset condition;
and controlling the image acquisition device to acquire second image data of the user when the specific function is in the usable state.
4. The method of claim 1, further comprising:
and sending prompt information under the condition that the matching degree of the first image data and the second image data does not meet the preset threshold value.
5. The method of claim 1, further comprising:
deleting the first image data and/or the second image data.
6. The method of any of claims 1 to 5, wherein:
the first image data of the user comprises first facial image data of the user, and the second image data of the user comprises second facial image data of the user;
the method further comprises the following steps: and determining whether the matching degree of the first face image data and the second face image data meets a preset threshold value or not through a face recognition technology.
7. A data processing apparatus for an electronic shopping cart, the electronic shopping cart including an image capture device, the apparatus comprising:
the first acquisition module is used for responding to that the first operation of the user meets a first preset condition and controlling the image acquisition device to acquire first image data of the user;
the second acquisition module is used for responding to that the second operation of the user meets a second preset condition and controlling the image acquisition device to acquire second image data of the user; and
and the execution module executes a specific function corresponding to the second operation under the condition that the matching degree of the first image data and the second image data meets a preset threshold value.
8. The apparatus of claim 7, wherein the electronic shopping cart is operable to implement a plurality of payment functions, the particular function comprising at least one of the plurality of payment functions.
9. The apparatus of claim 7, wherein the second obtaining means comprises:
the determining submodule is used for determining whether the specific function is in an available state or not in response to the second operation of the user meeting a second preset condition;
and the first acquisition sub-module controls the image acquisition device to acquire second image data of the user under the condition that the specific function is in an available state.
10. The apparatus of claim 7, further comprising:
and the sending module is used for sending prompt information under the condition that the matching degree of the first image data and the second image data does not meet the preset threshold value.
11. The apparatus of claim 7, further comprising:
a deletion module that deletes the first image data and/or the second image data.
12. The apparatus of any of claims 7 to 11, wherein:
the first image data of the user comprises first facial image data of the user, and the second image data of the user comprises second facial image data of the user;
the device further comprises: the determining module is used for determining whether the matching degree of the first face image data and the second face image data meets a preset threshold value through a face recognition technology.
13. A data processing system comprising:
one or more processors;
a storage device for storing one or more programs,
wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-6.
14. A computer readable medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method of any one of claims 1 to 6.
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| CN201810939128.2A CN110838013A (en) | 2018-08-16 | 2018-08-16 | Data processing method, device, system and computer readable medium |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150348045A1 (en) * | 2014-05-30 | 2015-12-03 | Ebay Inc. | Systems and methods for implementing transactions based on facial recognition |
| US20160300247A1 (en) * | 2015-04-07 | 2016-10-13 | Toshiba Tec Kabushiki Kaisha | Sales data processing apparatus, server and method for acquiring attribute information |
| CN108108976A (en) * | 2017-12-29 | 2018-06-01 | 深圳正品创想科技有限公司 | The method and device that brush face is paid in a kind of unmanned shop |
| CN108198315A (en) * | 2018-01-31 | 2018-06-22 | 深圳正品创想科技有限公司 | A kind of auth method and authentication means |
| CN108235771A (en) * | 2017-12-28 | 2018-06-29 | 深圳前海达闼云端智能科技有限公司 | Self-help shopping method and system, electronic equipment, program product based on high in the clouds |
-
2018
- 2018-08-16 CN CN201810939128.2A patent/CN110838013A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150348045A1 (en) * | 2014-05-30 | 2015-12-03 | Ebay Inc. | Systems and methods for implementing transactions based on facial recognition |
| US20160300247A1 (en) * | 2015-04-07 | 2016-10-13 | Toshiba Tec Kabushiki Kaisha | Sales data processing apparatus, server and method for acquiring attribute information |
| CN108235771A (en) * | 2017-12-28 | 2018-06-29 | 深圳前海达闼云端智能科技有限公司 | Self-help shopping method and system, electronic equipment, program product based on high in the clouds |
| CN108108976A (en) * | 2017-12-29 | 2018-06-01 | 深圳正品创想科技有限公司 | The method and device that brush face is paid in a kind of unmanned shop |
| CN108198315A (en) * | 2018-01-31 | 2018-06-22 | 深圳正品创想科技有限公司 | A kind of auth method and authentication means |
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