CN113808342B - Article payment method, apparatus, computer readable medium and electronic device - Google Patents
Article payment method, apparatus, computer readable medium and electronic device Download PDFInfo
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- CN113808342B CN113808342B CN202010835003.2A CN202010835003A CN113808342B CN 113808342 B CN113808342 B CN 113808342B CN 202010835003 A CN202010835003 A CN 202010835003A CN 113808342 B CN113808342 B CN 113808342B
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
- G07G1/00—Cash registers
- G07G1/12—Cash registers electronically operated
Abstract
The present disclosure provides an article payment method, an article payment device, a computer-readable medium, and an electronic apparatus; relates to the technical field of online payment. The article payment method comprises the following steps: acquiring a first weight value of a target user detected by an entrance detection unit and a second weight value of the target user detected by an exit detection unit; acquiring weight data uploaded by a plurality of object placing units for placing objects, and determining a third weight value of the object selected by the target user according to the first weight value and the second weight value; and identifying a selected item corresponding to the target user by combining the weight data and the third weight value so as to pay for the selected item. The article payment method can overcome the problem that the time spent in identifying articles in an unmanned supermarket is long to a certain extent, and further improves the efficiency of article payment.
Description
Technical Field
The disclosure relates to the technical field of online payment, in particular to an article payment method, an article payment device, a computer readable medium and electronic equipment.
Background
With the development of computer network technology, the unmanned supermarket is becoming more popular, and it is important for the unmanned supermarket to correctly identify the selected articles of the user. At present, an unmanned supermarket mainly identifies articles through bar codes, each article is stuck with a bar code label, and a user can identify the articles by only scanning the bar codes on the labels during settlement. However, the bar code label needs to be pasted in advance by supermarket operators, and the user needs to sweep the bar code one by one during settlement, which is time-consuming and labor-consuming. Some unmanned supermarkets also choose to use a large number of cameras to identify the commodity selected by the user, but the number of cameras required in the mode is large, so that the cost is high.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The disclosure aims to provide an article payment method, an article payment device, a computer readable medium and electronic equipment, which can overcome the problem that the time spent in identifying articles by an unmanned supermarket is long to a certain extent, and further improve the efficiency of article payment.
Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.
According to a first aspect of the present disclosure, there is provided an item payment method comprising:
acquiring a first weight value of a target user detected by an entrance detection unit and a second weight value of the target user detected by an exit detection unit;
acquiring weight data uploaded by a plurality of object placing units for placing objects, and determining a third weight value of the object selected by the target user according to the first weight value and the second weight value;
and identifying a selected item corresponding to the target user by combining the weight data and the third weight value so as to pay for the selected item.
In one exemplary embodiment of the present disclosure, the identifying the selected item corresponding to the target user in combination with the weight data and the third weight value includes:
determining a fourth weight value for the reduced item on the storage unit based on the weight data;
the selected item is identified in conjunction with the third weight value and the fourth weight value.
In one exemplary embodiment of the present disclosure, the identifying the selected item in combination with the third weight value and the fourth weight value includes:
comparing the sum of the fourth weight values with the third weight value, and if the sum of the third weight value and the fourth weight value is the same, acquiring article information corresponding to each fourth weight value through an article model.
In one exemplary embodiment of the present disclosure, identifying the selected item corresponding to the target user in combination with the weight data and the third weight value includes:
determining the number of selected articles on each storage unit according to the weight data uploaded by each storage unit;
and determining the selected articles corresponding to the target user by combining the number of the articles and the third weight value.
In one exemplary embodiment of the present disclosure, determining the selected item corresponding to the target user in combination with the item quantity and the third weight value includes:
acquiring attribute information of the articles respectively placed by the storage units;
and determining the selected article corresponding to the target user by combining the attribute information of the articles, the number of the articles and the third weight value.
In one exemplary embodiment of the present disclosure, the payment for the selected item includes:
determining data to be paid for the selected item;
and paying the selected articles according to the data to be paid and the identity information of the target user.
In one exemplary embodiment of the present disclosure, identifying a selected item corresponding to the target user in combination with the weight data and the third weight value to pay for the selected item includes:
and prompting the target user to scan the identification code of the selected item when the identification of the selected item corresponding to the target user fails, so as to finish payment of the selected item.
According to a second aspect of the present disclosure, there is provided an article payment device comprising a weight detection module, an article weight acquisition module, and an article identification payment module, wherein:
the weight detection module is used for acquiring a first weight value of the target user detected by the entrance detection unit and a second weight value of the target user detected by the exit detection unit.
And the article weight acquisition module is used for acquiring weight data uploaded by a plurality of article placing units for placing articles and determining a third weight value of the articles selected by the target user through the first weight value and the second weight value.
And the article identification payment module is used for identifying the selected article corresponding to the target user by combining the weight data and the third weight value so as to pay for the selected article.
In one exemplary embodiment of the present disclosure, the article identification payment module may include a weight change acquisition unit, and an article weight identification unit, wherein:
a weight change acquisition unit for determining a fourth weight value of the reduced items on the storage unit according to the weight data;
an item weight identification unit for identifying the selected item in combination with the third weight value and the fourth weight value.
In an exemplary embodiment of the present disclosure, the article weight identification unit is specifically configured to: comparing the sum of the fourth weight values with the third weight value, and if the sum of the third weight value and the fourth weight value is the same, acquiring article information corresponding to each fourth weight value through an article model.
In one exemplary embodiment of the present disclosure, the item identification payment module may include an item number calculation unit and an item number identification unit, wherein:
and the article quantity calculating unit is used for determining the quantity of the selected articles on each article placing unit according to the weight data uploaded by each article placing unit.
And the article number identification unit is used for combining the article number and the third weight value to determine the selected article corresponding to the target user.
In an exemplary embodiment of the present disclosure, the item number identifying unit may specifically include an attribute information acquiring unit and a selected item determining unit, wherein:
and the attribute information acquisition unit is used for acquiring the attribute information of the articles respectively placed by the storage units.
And the selected article determining unit is used for determining the selected article corresponding to the target user by combining the attribute information of the articles, the number of the articles and the third weight value.
In one exemplary embodiment of the present disclosure, the item identification payment module may include a payment data acquisition unit and a payment unit, wherein:
and the payment data acquisition unit is used for determining the data to be paid of the selected article.
And the payment unit is used for paying the selected article according to the data to be paid and the identity information of the target user.
In one exemplary embodiment of the present disclosure, the item identification payment module may be specifically configured to: and prompting the target user to scan the identification code of the selected item when the identification of the selected item corresponding to the target user fails, so as to finish payment of the selected item.
According to a third aspect of the present disclosure, there is provided an electronic device comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the method of any of the above via execution of the executable instructions.
According to a fourth aspect of the present disclosure, there is provided a computer readable medium having stored thereon a computer program which, when executed by a processor, implements the method of any of the above.
Exemplary embodiments of the present disclosure may have some or all of the following advantages:
in the method for paying for the article provided by the example embodiment of the present disclosure, on one hand, the article is identified by weight, so that the problem of excessive cost caused by installing the camera can be avoided; in addition, the bar code label is not required to be manually pasted in advance, so that the labor cost can be reduced; on the other hand, the two weight values of the target user detected by the entrance detection unit and the exit detection unit can accurately obtain the weight value of the selected article, so that the selected article is paid, the problems of article missing or article identification error caused by repeated scanning of the same article due to shielding of the bar code label can be avoided, and the accuracy of article identification is improved; on the other hand, the user does not need to scan all the articles one by one during payment, and the articles selected by the user can be directly identified according to the detected weight value and the weight data, so that payment is completed, and the payment efficiency can be improved.
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 disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.
FIG. 1 schematically illustrates a system architecture diagram for implementing a method of payment for items, according to one embodiment of the disclosure;
FIG. 2 schematically illustrates a flow chart of an item payment method according to one embodiment of the present disclosure;
FIG. 3 schematically illustrates a flow chart of an item payment method according to another embodiment of the present disclosure;
FIG. 4 schematically illustrates a flow chart of an item payment method according to another embodiment of the present disclosure;
FIG. 5 schematically illustrates a block diagram of an item payment device, according to one embodiment of the present disclosure;
fig. 6 shows a schematic diagram of a computer system suitable for use in implementing embodiments of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present disclosure. One skilled in the relevant art will recognize, however, that the aspects of the disclosure may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.
The following describes the technical scheme of the embodiments of the present disclosure in detail:
first, a system architecture for implementing the item payment method is provided in exemplary embodiments of the present disclosure. As shown with reference to fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting data transmission, such as computers and the like. The terminal devices 101, 102, 103 may interact with the server 105 via the network 104 to receive or transmit request instructions or the like. Various detection devices such as weight detection devices, cameras, infrared detectors, etc. may be mounted on the terminal devices 101, 102, 103.
The server 105 may be a server providing various services, such as a background management server (merely an example) providing computing processing support for data detected by the terminal devices 101, 102, 103. The background management server may analyze and process the received data such as the query request, and feed back the processing result (e.g. the target push information, the product information—only an example) to the terminal device.
It should be noted that, the method for payment for an item provided in the embodiment of the present disclosure is generally performed by the terminal device 101, and accordingly, the device for payment for an item is generally disposed in the terminal device 101. However, it will be understood by those skilled in the art that the method for payment for an item of the present disclosure may be performed by the server 105, and accordingly, the device for payment for an item may be provided in the server 105, which is not particularly limited in this embodiment.
Based on the above system architecture, the present exemplary embodiment provides an item payment method. Referring to fig. 2, the item payment method may include step S210, step S220, and step S230, wherein:
step S210: a first weight value of the target user detected by the entrance detection unit and a second weight value of the target user detected by the exit detection unit are acquired.
Step S220: and acquiring weight data uploaded by a plurality of storage units for storing articles, and determining a third weight value of the articles selected by the target user according to the first weight value and the second weight value.
Step S230: and identifying a selected item corresponding to the target user by combining the weight data and the third weight value so as to pay for the selected item.
In the method for paying for the article provided in an exemplary embodiment of the present disclosure, on one hand, the weight is used to identify the article, so that the problem of excessive cost caused by installing the camera can be avoided; in addition, the bar code label is not required to be manually pasted in advance, so that the labor cost can be reduced; on the other hand, the two weight values of the target user detected by the entrance detection unit and the exit detection unit can accurately obtain the weight value of the selected article, so that the selected article is paid, the problems of article missing or article identification error caused by repeated scanning of the same article due to shielding of the bar code label can be avoided, and the accuracy of article identification is improved; on the other hand, the user does not need to scan all the articles one by one during payment, and the articles selected by the user can be directly identified according to the detected weight value and the weight data, so that payment is completed, and the payment efficiency can be improved.
Next, the above steps of the present exemplary embodiment will be described in more detail.
In step S210, a first weight value of a target user detected by an entrance detection unit and a second weight value of the target user detected by an exit detection unit are acquired.
The inlet detection unit and the outlet detection unit are devices for detecting the weight of a target user, such as a weight scale. The entrance detection unit may be disposed at the entrance of the supermarket, and the exit detection unit may be disposed at the settlement of the supermarket. When the target user enters the supermarket, the weight of the target user can be measured through the entrance detection unit, a first weight value when the target user enters the supermarket is obtained, when the target user purchases the articles and prepares to check out, the weight of the target user can be measured again through the exit detection unit at the exit of the supermarket, and if the target user purchases the articles, the sum of the weights of the target user and the articles purchased by the target user can be measured, namely a second weight value.
For example, when the first weight value and the second weight value of the target user are acquired, identity information of the target user needs to be verified, and the first weight value and the second weight value are stored in an associated manner through the identity information so as to identify the weight of the same user before and after shopping.
For example, a weight scale can be arranged at an entrance gate of a supermarket, the weight scale can be arranged underground, and in order to enable a customer to perform weight measurement without perception, the weight scale can be arranged at a face brushing screen or a two-dimensional code to be scanned in a store, so that a user can perform weight measurement while performing identity recognition; alternatively, a corresponding mark, such as a footprint mark, may be provided on the ground where the weight scale is located, to facilitate measuring the weight of the user. For example, a weight scale can be set at a position corresponding to the face-brushing screen, a footprint mark can be displayed on the ground, the face-brushing screen triggers scanning of the face information of the user after the user stands at the position and the scale value is stable, or a two-dimensional code is displayed for the user to scan, and when the face information of the user is verified successfully or the two-dimensional code is scanned successfully, the identity verification information of the user and the corresponding two-time measured weight value can be saved.
In step S220, weight data uploaded by a plurality of storage units for storing articles is acquired, and a third weight value of the articles selected by the target user is determined through the first weight value and the second weight value.
The storage unit may be a device for holding items, such as shelves or the like, and may also include a mass measuring device, such as a weight scale or the like. The weight data can be understood as the total weight of the article on the storage unit, and can also be the change of the total weight of the article in a period of time. The supermarket can comprise a plurality of storage units, a plurality of articles can be placed in each storage unit, the initial weight of the articles on the storage units can be obtained before a user selects the articles, and the storage units can upload weight data when the weight of the articles on the storage units changes, for example, the storage units upload the weight detected after the articles are taken by the user when the user picks up a certain article. Weight data on each of the storage units may be acquired at intervals so that weight change conditions on each of the storage units during shopping by the target user may be determined, e.g., 300 grams of the weight of the item of storage unit a reduced, 500 grams of the weight of the item of storage unit B reduced, etc.
The selected item refers to an item selected by the target user, and the selected item may include a plurality of items. The second weight value is the weight value when the target user purchases the article, and the second weight value can contain the weight of the article carried by the target user, so that a third weight value can be obtained by calculating the difference between the second weight value and the first weight value, and the difference between the second weight value and the first weight value is the weight difference when the target user enters and exits, namely the weight of the article selected by the target user. In the embodiment, the objects selected by the target user do not need to be scanned one by one, and are not required to be identified through the camera, the weight of the object selected by the user can be calculated only by measuring the weight of the target user at the inlet and the outlet respectively, and the corresponding object information can be identified by utilizing the weight and the weight data of the object placing unit, so that the method is simpler and more efficient.
In step S230, a selected item corresponding to the target user is identified in combination with the weight data and the third weight value to pay for the selected item.
In this exemplary embodiment, the weight of each article may be different, and attribute information of all articles in the supermarket may be recorded and saved in advance, so as to obtain an article model. Optionally, the article model may include the type, name, identification code, specification, weight, etc. of the article, and may also include other information of the article, such as the place of production, manufacturer, etc., and the embodiment is not limited thereto. Specifically, the method may include the following steps S310 and S320, as shown in fig. 3.
In step S310, a fourth weight value of the reduced item on the storage unit is determined from the weight data. A fourth weight value of the selected item is determined from the weight data. The weight data of each storage unit may be different, the reduced weight on each storage unit may be determined according to the weight data corresponding to each storage unit, and the fourth weight value may be the reduced weight on each storage unit.
In step S320, the selected item is identified in combination with the third weight value and the fourth weight value. The third weight value is the weight of the target user at the outlet, and the fourth weight value is the weight of the articles reduced on the article placing unit, so that the weight composition of the articles in the third weight value can be obtained by comparing the third weight value with the fourth weight value, and the corresponding article composition can be obtained by the corresponding weight composition, so that the article information such as the article types, the number and the like of the articles selected by the target user can be obtained.
In an exemplary embodiment, the fourth weight value is compared with the third weight value, and if the fourth weight value is the same, attribute information corresponding to the fourth weight value may be obtained through the article model, for example, when the fourth weight value is 1 kg, attribute information corresponding to an article weighing 1 kg may be queried. If the fourth weight value comprises a plurality of items, the sum of the fourth weight values can be compared with the third weight value, and if the sum of the fourth weight values is the same as the third weight value, attribute information of the items corresponding to each fourth weight value can be respectively obtained, so that all the items purchased by the target user can be obtained. If the sum of the fourth weight value and the third weight value is different, a difference value of the sum of the third weight value and the fourth weight value can be calculated, for example, 3 kg of the third weight value and 4 kg of the fourth weight value can be obtained, and the difference value can be 1 kg. The sum of the fourth weight values is the weight of the articles reduced on all the storage units, and the third weight value is the weight of all the articles when the user checks out, and if the sum of the fourth weight values is different from the third weight value, the difference value can be the weight of the articles which are put elsewhere after the user picks up the articles. And combining the difference value and the weight data of each storage unit to determine the article information corresponding to the third weight value. Specifically, the weight combination of the articles corresponding to the difference can be determined by comparing the difference with the weight data uploaded by each article placing unit, for example, the weight data includes that the weight of the article placing unit A is reduced to 100 g, the weight of the article placing unit B is reduced to 200 g, the weight of the article placing unit C is reduced to 300 g, and the difference is 500 g, so that it can be determined that the articles discarded by the user after the user takes are 200 g of articles and 300 g of articles. And then, excluding the weight corresponding to the difference value from the weight data uploaded by each storage unit, so that a weight combination corresponding to a third weight value can be obtained, for example, the weight combination corresponding to the third weight value can be that the weight of the storage unit D is reduced by 400 g, and the weight of the storage unit E is reduced by 500 g. And respectively acquiring the articles corresponding to each weight through the weight combination corresponding to the third weight value to obtain the attribute information of the articles.
After the attribute information of the selected article is identified, the data to be paid of the selected article can be determined according to the price of the article in the attribute information, the data to be paid can be the total price of the selected article, and the data to be paid can be paid in the account of the target user according to the identity information of the target user. For example, the data to be paid may be displayed in a display screen, paid after the user views the back scan code, or account information of the user may be determined by scanning the user's face information, thereby deducting the corresponding fee from the account information. According to the embodiment, the user does not need to scan commodities one by one during supermarket shopping settlement, weight data uploaded by the object placing unit can be obtained in the shopping process of the user, all objects purchased by the user can be calculated according to the weight data and the weight difference of the user during in-out, the price of all objects purchased by the user is further determined, and the payment efficiency is greatly improved.
In an exemplary embodiment, as shown in fig. 4, the selected item corresponding to the target user may be identified through the following steps S410 and S420.
In step S410, the number of selected articles on each storage unit is determined according to the weight data uploaded by each storage unit. In this embodiment, each storage unit may be configured to store one type of article, and each storage unit may be associated with a corresponding article type in advance. When the weight change is detected on each storage unit, the quantity of the articles reduced on the storage unit can be calculated according to the detected weight data and the weight of the articles corresponding to the storage unit. For example, the object placing unit a corresponds to the object a, and the weight data uploaded by the object placing unit a is 500 g, so that 500/a of the objects a can be calculated to be reduced.
In step S420, the number of items and the third weight value are combined to determine a selected item corresponding to the target user. For example, the attribute information of the articles corresponding to each storage unit may be obtained first, so as to obtain the weight of the articles from the attribute information of the articles, and then the number of articles and the weight of the articles reduced on each storage unit are combined to calculate the article combination corresponding to the third weight value. For example, 2 articles a are reduced in the article placing unit a, 1 article B is reduced in the article placing unit B, 2 articles C are reduced in the article placing unit C, and the third weight value of the target user is 500 g, ax+by+cz=500 is obtained by the known condition, where x < = 2, y < = 3, z < = 2, the weight of the articles corresponding to each article placing unit is, for example, 100 g for a, 200 g for B, and 150 g for C, x, y, and z can be calculated by the above equation, and x=2, y=1, z=1 can be obtained, so as to obtain the type and number of the articles purchased by the target user.
When the camera is used for identifying the articles, the user needs to manually scan each article, and in the embodiment, the user can directly calculate the articles selected by the user through the detected weight, the user does not need to sequentially scan the articles, the manpower and time can be saved, and the articles selected by the user can be identified more quickly.
For example, if the weight and quantity of the item cannot be calculated from the quantity of the item and the third weight value, e.g., a unique solution is not obtained from an equation for the mass and quantity of each item, the user may be prompted to identify the item by other means to complete the payment.
For example, if the identification of the selected article corresponding to the target user fails, the payment may be completed by performing the identification by other identification methods, for example, by scanning a bar code on the article to identify the corresponding article, by scanning an article with a camera to perform image identification to determine the corresponding article, and so on, the embodiment is not limited thereto.
In other embodiments of the present disclosure, various different article combinations and weights corresponding to the respective article combinations may be predefined by an algorithm, and the weight of each combination may be determined by performing weight removal on the combination having the same weight, so that the uniqueness of the weights of the respective combinations may be ensured. And comparing the weight data uploaded by the object placing unit with the obtained selected objects, checking whether each selected object in the object combination corresponding to the target user is matched with the weight reduced on the object placing unit, if so, determining that the selected object corresponding to the target user is correctly identified, and if not, prompting the user to carry out settlement by scanning the bar code.
Further, in this example embodiment, an article payment apparatus is further provided, which is configured to execute the article payment method disclosed above. The device can be applied to a server or terminal equipment.
Referring to fig. 5, the article payment apparatus 500 may include: a weight detection module 510, an item weight acquisition module 520, and an item identification payment module 530, wherein:
the weight detection module 510 is configured to obtain a first weight value of the target user detected by the entrance detection unit, and a second weight value of the target user detected by the exit detection unit.
The article weight obtaining module 520 is configured to obtain weight data uploaded by a plurality of article placing units for placing articles, and determine a third weight value of the articles selected by the target user according to the first weight value and the second weight value.
An item identification payment module 530, configured to identify a selected item corresponding to the target user in combination with the weight data and the third weight value, so as to pay for the selected item.
In one exemplary embodiment of the present disclosure, the item identification payment module 530 may include a weight change acquisition unit, and an item weight identification unit, wherein:
a weight change acquisition unit for determining a fourth weight value of the reduced items on the storage unit according to the weight data;
an item weight identification unit for identifying the selected item in combination with the third weight value and the fourth weight value.
In an exemplary embodiment of the present disclosure, the article weight identification unit is specifically configured to: comparing the sum of the fourth weight values with the third weight value, and if the sum of the third weight value and the fourth weight value is the same, acquiring article information corresponding to each fourth weight value through an article model.
In one exemplary embodiment of the present disclosure, the item identification payment module 530 may include an item number calculation unit and an item number identification unit, wherein:
and the article quantity calculating unit is used for determining the quantity of the selected articles on each article placing unit according to the weight data uploaded by each article placing unit.
And the article number identification unit is used for combining the article number and the third weight value to determine the selected article corresponding to the target user.
In an exemplary embodiment of the present disclosure, the item number identifying unit may specifically include an attribute information acquiring unit and a selected item determining unit, wherein:
and the attribute information acquisition unit is used for acquiring the attribute information of the articles respectively placed by the storage units.
And the selected article determining unit is used for determining the selected article corresponding to the target user by combining the attribute information of the articles, the number of the articles and the third weight value.
In one exemplary embodiment of the present disclosure, the item identification payment module 530 may include a payment data acquisition unit and a payment unit, wherein:
and the payment data acquisition unit is used for determining the data to be paid of the selected article.
And the payment unit is used for paying the selected article according to the data to be paid and the identity information of the target user.
In one exemplary embodiment of the present disclosure, the item identification payment module 530 may be specifically configured to: and prompting the target user to scan the identification code of the selected item when the identification of the selected item corresponding to the target user fails, so as to finish payment of the selected item.
Since each functional module of the article payment device according to the exemplary embodiment of the present disclosure corresponds to a step of the exemplary embodiment of the article payment method described above, for details not disclosed in the embodiment of the device of the present disclosure, please refer to the embodiment of the article payment method described above in the present disclosure.
Fig. 6 shows a schematic diagram of a computer system suitable for use in implementing embodiments of the present disclosure.
It should be noted that, the computer system 600 of the electronic device shown in fig. 6 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present disclosure.
As shown in fig. 6, the computer system 600 includes a Central Processing Unit (CPU) 601, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for system operation are also stored. The CPU 601, ROM602, and RAM 603 are connected to each other through a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, mouse, etc.; an output portion 607 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The drive 610 is also connected to the I/O interface 605 as needed. Removable media 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed as needed on drive 610 so that a computer program read therefrom is installed as needed into storage section 608.
In particular, according to embodiments of the present disclosure, the processes described below with reference to flowcharts 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 shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network through the communication portion 609, and/or installed from the removable medium 611. The computer program, when executed by a Central Processing Unit (CPU) 601, performs the various functions defined in the method and apparatus of the present application.
It should be noted that the computer readable medium shown in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any 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 context of this 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 the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. 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, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowcharts 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.
The units involved in the embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware, and the described units may also be provided in a processor. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
As another aspect, the present application also provides a computer-readable medium that may be contained in the electronic device described in the above embodiment; or may exist alone without being incorporated into the electronic device. The computer-readable medium carries one or more programs which, when executed by one of the electronic devices, cause the electronic device to implement the methods described in the embodiments below. For example, the electronic device may implement the steps shown in fig. 2 to 4, and so on.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the 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.
Claims (8)
1. A method of payment for an item, comprising:
acquiring a first weight value of a target user detected by an entrance detection unit and a second weight value of the target user detected by an exit detection unit;
acquiring weight data uploaded by a plurality of object placing units for placing objects, and determining a third weight value of the object selected by the target user according to the first weight value and the second weight value;
identifying a selected item corresponding to the target user in combination with the weight data and the third weight value to pay for the selected item;
the identifying, in conjunction with the weight data and the third weight value, the selected item corresponding to the target user includes:
determining a fourth weight value for the reduced items on the plurality of storage units based on the weight data;
identifying the selected item in combination with the third weight value and the fourth weight value includes:
comparing the sum of the fourth weight values with the third weight value, and if the sum of the fourth weight values is the same as the third weight value, acquiring article information corresponding to each fourth weight value through an article model;
if the sum of the fourth weight values is different from the third weight value, calculating a difference value of the sum of the third weight value and the fourth weight value, and determining article information corresponding to the third weight value by combining the difference value and the weight data of each storage unit.
2. The method of claim 1, identifying, in conjunction with the weight data and the third weight value, a selected item corresponding to the target user further comprises:
determining the number of selected articles on each storage unit according to the weight data uploaded by each storage unit;
and determining the selected articles corresponding to the target user by combining the number of the articles and the third weight value.
3. The method of claim 2, wherein determining the selected item corresponding to the target user in combination with the item quantity and the third weight value comprises:
acquiring attribute information of the articles respectively placed by the storage units;
and determining the selected article corresponding to the target user by combining the attribute information of the articles, the number of the articles and the third weight value.
4. The method of claim 1, wherein the paying for the selected item comprises:
determining data to be paid for the selected item according to the identified selected item;
and paying the selected articles according to the data to be paid and the identity information of the target user.
5. The method of claim 1, wherein identifying the selected item corresponding to the target user in conjunction with the weight data and the third weight value to pay for the selected item comprises:
and prompting the target user to scan the identification code of the selected item when the identification of the selected item corresponding to the target user fails, so as to finish payment of the selected item.
6. An article payment device, comprising:
the weight detection module is used for acquiring a first weight value of the target user detected by the entrance detection unit and a second weight value of the target user detected by the exit detection unit;
the article weight acquisition module is used for acquiring weight data uploaded by a plurality of article placing units for placing articles and determining a third weight value of the articles selected by the target user through the first weight value and the second weight value;
the article identification payment module is used for identifying a selected article corresponding to the target user by combining the weight data and the third weight value so as to pay for the selected article;
the article identification payment module includes:
a weight change acquisition unit for determining a fourth weight value of the reduced items on the storage unit according to the weight data;
an article weight identifying unit for identifying the selected article in combination with the third weight value and the fourth weight value, comprising: comparing the sum of the fourth weight values with the third weight value, and if the sum of the fourth weight values is the same as the third weight value, acquiring article information corresponding to each fourth weight value through an article model; if the sum of the fourth weight values is different from the third weight value, calculating a difference value of the sum of the third weight value and the fourth weight value, and determining article information corresponding to the third weight value by combining the difference value and the weight data of each storage unit.
7. A computer readable medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method of any of claims 1-5.
8. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of any of claims 1-5 via execution of the executable instructions.
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