WO2019095884A1 - Image recognition technology-based self-service vending method, apparatus, electronic device and computer storage medium - Google Patents

Abstract

The embodiments of the present application provide an image recognition technology-based self-service vending method, an apparatus, an electronic device and a computer storage medium, being applied to a self-service vending system. Said method comprises: when it is detected that a user associated with an account is located in a preset detection area, photographing a commodity selected by the user, so as to generate a picture; recognizing the picture by means of a neural network, so as to determine information about the commodity selected by the user, the information comprising pricing information; and using the account associated with the user to pay the bill to be paid, the bill to be paid being obtained by integrating prices in the pricing information of the selected commodities In this way, self-service vending is realized in an automated manner, improving the efficiency, reducing the labor cost, facilitating a faster flow of people, further improving the user experience.

Description

Unmanned sales method, device, electronic device and computer storage medium based on image recognition technology

Cross-reference to related applications

This application claims priority to Chinese Patent Application No. 2017111271551, entitled "An Unattended Method and Apparatus Based on Image Recognition Technology", filed on November 15, 2017, the entire contents of which is hereby incorporated by reference. This is incorporated herein by reference.

Technical field

The present application relates to the field of data processing, and in particular, to an unattended method, device, electronic device and computer storage medium based on image recognition technology.

Background technique

At present, in the case of sales, such as shops or supermarkets, settlement is dependent on the cashier to settle. In this way, because it is a labor-dependent settlement, one is costly and with society. The development, the cost of manpower will be higher and higher, in addition, the artificial way leads to relatively low efficiency, especially in large supermarkets, often the user needs to queue for a long time, resulting in a particularly bad user experience, in addition, As a result, people cannot flow smoothly, causing a large number of people who should have gone out, or giving up shopping, or causing people who want to shop to enter, especially when the area of the mall is relatively insufficient.

Application content

In view of the deficiencies in the prior art, the object of the present application includes providing an unattended method, device, electronic device and computer storage medium based on image recognition technology, and unmanned sales in an automated manner, greatly improving Efficiency, reducing the cost of labor, and facilitating the smooth flow of people, thus improving the user experience.

In order to achieve the above object, the present application proposes the following specific embodiments:

The embodiment of the present application proposes an unattended method based on image recognition technology, which is applied to an unattended system, and the method includes:

When detecting that the user who has associated the account is in the preset detection area, shooting the selected item of the user to generate a captured picture;

Identifying the captured picture by a neural network to determine information of the item selected by the user; wherein the information includes amount information;

The payment is made by the account associated with the user; wherein the amount to be paid is obtained based on the amount of money in the amount information of each selected item.

In a specific embodiment, the method further includes:

When it is detected that the user is in the preset detection area, the data input by the user is acquired within a preset time period;

Determining whether the data is associated with account information based on a preset association relationship;

If the judgment result is yes, the user is set as a user who has an account associated with;

If the judgment result is no, the user is prompted to perform an operation of the associated account.

In a specific embodiment, the method further includes:

Receiving an association request of the user; wherein the association request includes account information and a user-defined identifier;

Associating the account information and the identifier to generate an association relationship;

The association relationship is stored.

In a specific embodiment, the identifier comprises: a character string, a two-dimensional code, and a barcode.

In a specific embodiment, the neural network is obtained by training a picture of the item in the place of sale.

In a specific embodiment, after determining the information of the item selected by the user, before the payment of the amount to be paid by the account associated with the user, the method further includes:

Calculating the amount of information of the item selected by the user, and obtaining the amount to be paid.

In a specific embodiment, after the payment of the amount to be paid by the account associated with the user, the method further includes:

Receiving payment success information generated after completing the payment operation;

Recording sales information of the sales place according to the payment success information;

Determining current inventory status and replenishment information of the sales place according to the sales situation information;

The replenishment information is transmitted to the administrator's mobile terminal.

In a specific embodiment, the method further includes:

Obtaining a sales situation inquiry request of the sales place during the target time period, where the sales situation inquiry request is a request sent by the manager's mobile terminal;

Determining, according to the sales situation inquiry request, sales of the sales place within a target time period;

The sales situation is sent to the manager's mobile terminal for viewing by the management system.

In a specific embodiment, the account includes any one of the following: a bank card account, an Alipay account, and a WeChat account.

The embodiment of the present application further provides an unattended device based on image recognition technology, which is applied to an unmanned vending system, and the device includes:

a generating module configured to: when detecting that a user who has an account associated with is in a preset detection area, photographing the selected item of the user to generate a captured picture;

An identification module, configured to identify the captured picture by a neural network to determine information of the item selected by the user; wherein the information includes amount information;

The payment module is configured to pay the amount to be paid by the account associated with the user; wherein the amount to be paid is obtained based on the amount of money in the amount information of each selected item.

In a specific embodiment, the method further includes:

The processing module is configured to acquire data input by the user within a preset time period when detecting that the user is in the preset detection area;

Determining whether the data is associated with account information based on a preset association relationship;

If the judgment result is yes, the user is set as a user who has an account associated with;

If the judgment result is no, the user is prompted to perform an operation of the associated account.

In a specific embodiment, the method further includes:

An association module, configured to receive an association request of the user, where the association request includes account information and a user-defined identifier;

Associating the account information and the identifier to generate an association relationship;

The association relationship is stored.

In a specific embodiment, the identifier comprises: a character string, a two-dimensional code, and a barcode.

In a specific embodiment, the neural network is obtained by training a picture of the item in the place of sale.

The embodiment of the present application further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and operable on the processor, where the processor implements the foregoing The method of any of the aspects.

The embodiment of the present application further provides a computer storage medium having stored thereon a computer program, the computer executing the steps of the method of any of the above first aspects when the computer program runs.

Therefore, the embodiment of the present application proposes an unattended method, device, electronic device and computer storage medium based on image recognition technology, which is applied to an unmanned vending system, wherein the method includes: when it is detected that it is associated When the user having the account is in the preset detection area, the user selected the product is photographed to generate a captured picture; the captured picture is identified by a neural network to determine information of the selected item of the user; The information includes the amount information; the account is paid by the account associated with the user; wherein the amount to be paid is obtained based on the amount in the amount information of each selected item. In this way, the automated way of unmanned goods is realized, which greatly improves the efficiency, reduces the labor cost, and facilitates the smooth circulation of the flow of people, thereby improving the user experience.

The above described objects, features, and advantages of the present invention will become more apparent from the following description.

DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings to be used in the embodiments will be briefly described below. It should be understood that the following drawings show only certain embodiments of the present application, and therefore It should be seen as a limitation on the scope, and those skilled in the art can obtain other related drawings according to these drawings without any creative work.

1 is a schematic flow chart of an unattended method based on image recognition technology according to an embodiment of the present application;

2 is a schematic diagram of an apparatus for an unattended device based on image recognition technology according to an embodiment of the present application;

3 is a schematic diagram of an apparatus for an unattended device based on image recognition technology according to an embodiment of the present application;

FIG. 4 is a schematic diagram of an electronic device according to an embodiment of the present application.

Detailed ways

In the following, various embodiments of the present disclosure will be described more fully. The present disclosure can have various embodiments, and adjustments and changes can be made therein. It should be understood, however, that the present invention is not limited to the specific embodiments disclosed herein, but the invention is to be construed as being included within the spirit and scope of the various embodiments of the present disclosure. All adjustments, equivalents and/or alternatives.

In the following, the term "comprising" or "including" may be used in the various embodiments of the present disclosure to indicate the existence of the disclosed function, operation or element, and does not limit one or more functions, operations or elements. increase. In addition, the terms "comprising," "having," "," It should not be understood that the existence or addition of one or more features, numbers, steps, operations, components or components of one or more other features, numbers, steps, operations, components, components or combinations of the foregoing are excluded. Or the possibility of a combination of the foregoing.

In various embodiments of the present disclosure, the expression "or" or "at least one of A or / and B" includes any or all combinations of the simultaneously listed characters. For example, the expression "A or B" or "at least one of A or / and B" may include A, may include B, or may include both A and B.

Expressions used in various embodiments of the present disclosure (such as "first", "second", etc.) may modify various constituent elements in various embodiments, but the corresponding constituent elements may not be limited. For example, the above statements do not limit the order and/or importance of the elements. The above statements are only used for the purpose of distinguishing one element from another. For example, the first user device and the second user device indicate different user devices, although both are user devices. For example, a first element could be termed a second element, and a second element could be termed a first element, without departing from the scope of the various embodiments of the present disclosure.

It should be noted that if the description "connects" one constituent element to another constituent element, the first constituent element can be directly connected to the second constituent element and can be "connected" between the first constituent element and the second constituent element. "The third component. On the contrary, when a constituent element is "directly connected" to another constituent element, it can be understood that there is no third constituent element between the first constituent element and the second constituent element.

The term "user" as used in various embodiments of the present disclosure may indicate a person using an electronic device or a device using an electronic device (eg, an artificial intelligence electronic device).

The terms used in the various embodiments of the present disclosure are only for the purpose of describing the specific embodiments and are not intended to limit the various embodiments of the present disclosure. As used herein, the singular forms " All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the various embodiments of the present disclosure pertain, unless otherwise defined. The term (such as a term defined in a commonly used dictionary) will be interpreted as having the same meaning as the contextual meaning in the related art and will not be interpreted as having an idealized meaning or an overly formal meaning, Unless clearly defined in the various embodiments of the present disclosure.

Example 1

The embodiment of the present application proposes an unattended method based on image recognition technology, which is applied to an unmanned vending system. As shown in FIG. 1 , the method includes:

Step 101: When detecting that the user who has been associated with the account is in the preset detection area, shooting the selected item of the user to generate a captured picture;

In a specific implementation, the preset detection area refers to an area where the user selects a good product and then registers the product. The preset detection area may have multiple in one sales place, and of course, there may be one. When there are multiple preset detection areas, the preset detection area may be set according to the product type, and one type of commodity type corresponds to a preset detection area. Of course, the above implementation manner is only an example description, and specifically may also be adopted. Other implementations.

Step 102: Identify, by using a neural network, the captured picture to determine information of the item selected by the user; wherein the information includes amount information;

In a preferred mode of practical application, the neural network is obtained by training a picture of the item in the place of sale. The neural network may be a RNN neural network (RNN, Recurrent Neural Network), a CNN neural network (CNN, Convolutional Neural Network), and an LSTM network (LSTM, Long Short-Term Memory). Network) and so on. This application does not specifically limit it.

In addition, the information determining the obtained item selected by the user may further include the name of the item.

In an embodiment, the picture of the item as the sample data may have a product picture with a higher definition than the first preset value, and an item with a lower definition than the first preset value but higher than the second preset value. In addition, it is also possible to increase the picture of the item different from the item in the sales place as the control sample data to train the neural network together. The first preset value and the second preset value may be specifically set according to the sharpness of the captured picture taken by the photographing device, and no specific limitation is imposed herein.

Step 103: Paying a payment amount by the account associated with the user; wherein the to-be-paid amount is obtained based on the amount in the amount information of each selected item.

In an implementation manner, when the user enters the supermarket, the user needs to associate the account, and after the subsequent purchase is completed, when the selected product is identified through the neural network, the amount to be paid and the information of the user are determined (may be a string, two Dimension code or barcode, etc., and deduct the amount to be paid from the account associated with the user.

It should be noted that, after determining the information of the item selected by the user, before the payment of the payment amount by the account associated with the user, the method further includes: performing an amount calculation on the information of the item selected by the user, The amount to be paid is obtained.

In a specific embodiment, the method further includes:

When it is detected that the user is in the preset detection area, the data input by the user is acquired within a preset time period;

In an embodiment, the data input by the user is specifically related to the account provided by the user when the account is associated, and may be an identifier, such as a character string, a two-dimensional code, a barcode, etc., Make restrictions.

Determining whether the data is associated with account information based on a preset association relationship;

After the data input by the user is obtained, it is determined in the preset association relationship whether there is account information associated with the data input by the user.

If the judgment result is yes, the user is set as a user who has an account associated with;

If the judgment result is no, the user is prompted to perform an operation of the associated account.

In an embodiment, the associated account may be a bank card account, an Alipay account, a WeChat account, etc., as long as the payment can be realized, and is not limited to these specific methods, and the associated process is the process of authorizing the payment. .

In a specific embodiment, the method further includes:

Receiving an association request of the user; wherein the association request includes account information and a user-defined identifier;

Associating the account information and the identifier to generate an association relationship;

The association relationship is stored.

Optionally, when associated, the user-defined identifier includes: a string, a two-dimensional code, and a barcode.

Subsequent users can directly associate to the corresponding account based on the identifier, and then perform payment. In an embodiment, for example, the identifier may be a 6-digit number (ie, a character string), for example, may be 123654. When the user needs to pay, the user can press the 6 digits to associate with the corresponding account. Automatically complete payment, convenient and fast.

In a specific embodiment, the method further includes:

Receiving payment success information generated after completing the payment operation;

Recording sales information of the sales place according to the payment success information;

Determining current inventory status and replenishment information of the sales place according to the sales situation information;

The replenishment information is transmitted to the administrator's mobile terminal.

After receiving the payment success information, the goods in the transaction order are recorded to perform statistics on the sales situation information of the sales place. Further, through the above sales situation information and historical inventory information, the current product remaining amount can be known, and the name and quantity of the product to be replenished by the selling place, that is, the above inventory situation and replenishment information are determined. After determining the replenishment information of the sales place, it is sent to the manager's mobile terminal, so that the manager can perform the timely replenishment operation, thereby satisfying the user's shopping demand.

In a specific embodiment, the method further includes:

Obtaining a sales situation inquiry request of the sales place within a target time period, where the sales situation inquiry request is a request sent by the manager's mobile terminal;

Determining, according to the sales situation inquiry request, sales of the sales place within a target time period;

The sales situation is sent to the manager's mobile terminal for viewing by the management system.

Example 2

Embodiment 2 of the present application also discloses an unattended device based on image recognition technology, which is applied to an unmanned vending system. As shown in FIG. 2, the device includes:

The generating module 201 is configured to: when detecting that the user who has associated the account is in the preset detection area, photographing the selected item of the user, and generating a captured picture;

The identification module 202 is configured to identify the captured picture by using a neural network to determine information of the item selected by the user; wherein the information includes amount information;

The payment module 203 is configured to pay the amount to be paid by the account associated with the user; wherein the amount to be paid is obtained based on the amount of money in the amount information of each selected item.

In a specific embodiment, as shown in FIG. 3, the method further includes:

The processing module 204 is configured to: when it is detected that the user is in the preset detection area, obtain the data input by the user within a preset time period;

Determining whether the data is associated with account information based on a preset association relationship;

If the judgment result is yes, the user is set as a user who has an account associated with;

If the judgment result is no, the user is prompted to perform an operation of the associated account.

In a specific embodiment, the method further includes:

An association module, configured to receive an association request of the user, where the association request includes account information and a user-defined identifier;

Associating the account information and the identifier to generate an association relationship;

The association relationship is stored.

In a specific embodiment, the identifier comprises: a character string, a two-dimensional code, and a barcode.

In a specific embodiment, the neural network is obtained by training a picture of the item in the place of sale.

In a specific embodiment, the method further includes:

The amount calculation module is configured to perform an amount calculation on the information of the product selected by the user to obtain the to-be-paid amount.

In a specific embodiment, the method further includes:

a receiving module, configured to receive payment success information generated after completing the payment operation;

Recording sales information of the sales place according to the payment success information;

Determining current inventory status and replenishment information of the sales place according to the sales situation information;

The replenishment information is transmitted to the administrator's mobile terminal.

In a specific embodiment, the method further includes:

The obtaining module is configured to obtain a sales situation query request of the sales place within the target time period, where the sales situation query request is a request sent by the manager's mobile terminal;

Determining, according to the sales situation inquiry request, sales of the sales place within a target time period;

The sales situation is sent to the manager's mobile terminal for viewing by the management system.

In a specific embodiment, the account includes any one of the following: a bank card account, an Alipay account, and a WeChat account.

Example 3

The embodiment of the present application provides an electronic device. Referring to FIG. 4, the electronic device includes: a processor 300, a memory 301, a bus 302, and a communication interface 303. The processor 300, the communication interface 303, and the memory 301 are connected by a bus 302. The processor 300 is configured to execute an executable module, such as a computer program, stored in the memory 301. The steps of the method as described in the method embodiments are implemented when the processor executes the extremes and programs.

The memory 301 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk storage. The communication connection between the system network element and at least one other network element is implemented by at least one communication interface 303 (which may be wired or wireless), and may use an Internet, a wide area network, a local network, a metropolitan area network, or the like.

The bus 302 can be an ISA bus, a PCI bus, or an EISA bus. The bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one double-headed arrow is shown in Figure 30, but it does not mean that there is only one bus or one type of bus.

The memory 301 is configured to store a program, and the processor 300 executes the program after receiving the execution instruction. The method executed by the device defined by the flow process disclosed in any embodiment of the present application may be configured in the processor 300. Or implemented by the processor 300.

Processor 300 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method may be completed by an integrated logic circuit of hardware in the processor 300 or an instruction in a form of software. The processor 300 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP processor, etc.), or a digital signal processor (DSP). ), Application Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component. The methods, steps, and logical block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general purpose processor may be a microprocessor or the processor or any conventional processor or the like. The steps of the method disclosed in the embodiments of the present application may be directly implemented by the hardware decoding processor, or may be performed by a combination of hardware and software modules in the decoding processor. The software module can be located in a conventional storage medium such as random access memory, flash memory, read only memory, programmable read only memory or electrically erasable programmable memory, registers, and the like. The storage medium is located in the memory 301, and the processor 300 reads the information in the memory 301 and completes the steps of the above method in combination with its hardware.

In another embodiment of the present application, there is also provided a computer storage medium having stored thereon a computer program, the computer executing the method of any of the above method embodiments step.

Example 4

The embodiment of the present application further provides a computer storage medium, which includes a computer program configured to perform the following processes:

In the process A, when detecting that the user who has associated the account is in the preset detection area, the user selected the item is photographed to generate a captured picture;

In the process B, the captured picture is identified by a neural network to determine information of the item selected by the user; wherein the information includes amount information;

The process C is to pay the amount to be paid by the account associated with the user; wherein the amount to be paid is obtained based on the amount in the amount information of each selected item.

In a specific embodiment, the computer program is further configured to perform the following processes:

In the process D, when it is detected that a user is in a preset detection area, the data input by the user is acquired within a preset time period;

Determining whether the data is associated with account information based on a preset association relationship;

If the judgment result is yes, the user is set as a user who has an account associated with;

If the judgment result is no, the user is prompted to perform an operation of the associated account.

In a specific embodiment, the computer program is further configured to perform the following processes:

The process E: receiving an association request of the user; where the association request includes account information and a user-defined identifier;

Associating the account information and the identifier to generate an association relationship;

The association relationship is stored.

In a specific embodiment, the identifier comprises: a character string, a two-dimensional code, and a barcode.

In a specific embodiment, the neural network is obtained by training a picture of the item in the place of sale.

In a specific embodiment, the computer program is further configured to perform the following processes:

In the process F, an amount calculation is performed on the information of the product selected by the user, and the to-be-paid amount is obtained.

In a specific embodiment, the computer program is further configured to perform the following processes:

Process G, receiving payment success information generated after completing the payment operation;

Recording sales information of the sales place according to the payment success information;

Determining current inventory status and replenishment information of the sales place according to the sales situation information;

The replenishment information is transmitted to the administrator's mobile terminal.

In a specific embodiment, the computer program is further configured to perform the following processes:

a process H, obtaining a sales situation inquiry request in a target time period of the sales place, where the sales situation inquiry request is a request sent by the manager's mobile terminal;

Determining, according to the sales situation inquiry request, sales of the sales place within a target time period;

The sales situation is sent to the manager's mobile terminal for viewing by the management system.

In a specific embodiment, the account includes any one of the following: a bank card account, an Alipay account, and a WeChat account.

Therefore, the embodiment of the present application proposes an unattended method, device, electronic device and computer storage medium based on image recognition technology, which is applied to an unmanned vending system, wherein the method includes: when it is detected that it is associated When the user having the account is in the preset detection area, the user selected the product is photographed to generate a captured picture; the captured picture is identified by a neural network to determine information of the selected item of the user; The information includes the amount information; the account is paid by the account associated with the user; wherein the amount to be paid is obtained based on the amount in the amount information of each selected item. In this way, the automated way of unmanned goods is realized, which greatly improves the efficiency, reduces the labor cost, and facilitates the smooth circulation of the flow of people, thereby improving the user experience.

A person skilled in the art can understand that the drawings are only a schematic diagram of a preferred implementation scenario, and the modules or processes in the drawings are not necessarily required to implement the application.

A person skilled in the art may understand that the modules in the apparatus in the implementation scenario may be distributed in the apparatus for implementing the scenario according to the implementation scenario description, or may be correspondingly changed in one or more devices different from the implementation scenario. The modules of the above implementation scenarios may be combined into one module, or may be further split into multiple sub-modules.

The above serial numbers are only for the description, and do not represent the advantages and disadvantages of the implementation scenario.

The above disclosure is only a few specific implementation scenarios of the present application, but the present application is not limited thereto, and any changes that can be made by those skilled in the art should fall within the protection scope of the present application.

Industrial applicability

The unattended method, device, electronic device and computer storage medium based on image recognition technology provided by the embodiments of the present application realize an automated manner for unmanned sales, greatly improving efficiency, reducing labor cost, and facilitating The smooth flow of people's flow further enhances the user experience.

Claims (16)

An unattended method based on image recognition technology, characterized in that it is applied to an unmanned vending system, the method comprising: When detecting that the user who has associated the account is in the preset detection area, shooting the selected item of the user to generate a captured picture; Identifying the captured picture by a neural network to determine information of the item selected by the user; wherein the information includes amount information; The payment is made by the account associated with the user; wherein the amount to be paid is obtained based on the amount of money in the amount information of each selected item. The unattended method based on image recognition technology according to claim 1, further comprising: When it is detected that the user is in the preset detection area, the data input by the user is acquired within a preset time period; Determining whether the data is associated with account information based on a preset association relationship; If the judgment result is yes, the user is set as a user who has an account associated with; If the judgment result is no, the user is prompted to perform an operation of the associated account. The unattended method based on image recognition technology according to claim 1 or 2, further comprising: Receiving an association request of the user; wherein the association request includes account information and a user-defined identifier; Associating the account information and the identifier to generate an association relationship; The association relationship is stored. The unattended method based on image recognition technology according to claim 3, wherein the identifier comprises: a character string, a two-dimensional code, and a barcode. The unattended method based on image recognition technology according to claim 1, wherein the neural network is obtained by training a picture of an item in a sales place. An unattended method based on image recognition technology according to any one of claims 1 to 5, characterized in that after determining information of the item selected by the user, in an account associated with the user Before paying the amount to be paid, the method also includes: Calculating the amount of information of the item selected by the user, and obtaining the amount to be paid. The unattended method based on image recognition technology according to any one of claims 1 to 6, wherein after the payment of the amount to be paid by the account associated with the user, the method further comprises: Receiving payment success information generated after completing the payment operation; Recording sales information of the sales place according to the payment success information; Determining current inventory status and replenishment information of the sales place according to the sales situation information; The replenishment information is transmitted to the administrator's mobile terminal. The unattended method based on image recognition technology according to any one of claims 1 to 7, further comprising: Obtaining a sales situation inquiry request of the sales place during the target time period, where the sales situation inquiry request is a request sent by the manager's mobile terminal; Determining, according to the sales situation inquiry request, sales of the sales place within a target time period; The sales situation is sent to the manager's mobile terminal for viewing by the management system. The unattended method based on image recognition technology according to claim 1, wherein the account comprises any one of the following: a bank card account, an Alipay account, and a WeChat account. An unattended device based on image recognition technology, characterized in that it is applied to an unmanned vending system, the device comprising: a generating module configured to: when detecting that a user who has an account associated with is in a preset detection area, photographing the selected item of the user to generate a captured picture; An identification module, configured to identify the captured picture by a neural network to determine information of the item selected by the user; wherein the information includes amount information; The payment module is configured to pay the amount to be paid by the account associated with the user; wherein the amount to be paid is obtained based on the amount of money in the amount information of each selected item. An unattended device based on image recognition technology according to claim 10, further comprising: The processing module is configured to acquire data input by the user within a preset time period when detecting that the user is in the preset detection area; Determining whether the data is associated with account information based on a preset association relationship; If the judgment result is yes, the user is set as a user who has an account associated with; If the judgment result is no, the user is prompted to perform an operation of the associated account. An unattended device based on image recognition technology according to claim 11, further comprising: An association module, configured to receive an association request of the user, where the association request includes account information and a user-defined identifier; Associating the account information and the identifier to generate an association relationship; The association relationship is stored. The unattended device based on image recognition technology according to claim 12, wherein the identifier comprises: a character string, a two-dimensional code, and a barcode. An unattended device based on image recognition technology according to claim 10, wherein said neural network is obtained by training a picture of a product in a place of sale. An electronic device, comprising: a memory, a processor, and a computer program stored on the memory and operable on the processor, the processor executing the computer program to implement the above claim 1 The method of any of 9. A computer storage medium having stored thereon a computer program, the computer executing the steps of the method of any one of claims 1 to 9 when the computer program is run.

Images