WO2019127255A1

WO2019127255A1 - Cloud-based self-service shopping method and system, electronic device, and program product

Info

Publication number: WO2019127255A1
Application number: PCT/CN2017/119526
Authority: WO
Inventors: 刘兆祥; 廉士国; 李少华
Original assignee: 深圳前海达闼云端智能科技有限公司
Priority date: 2017-12-28
Filing date: 2017-12-28
Publication date: 2019-07-04
Also published as: CN108235771A

Abstract

Provided are a cloud-based self-service shopping method and system, an electronic device, and a program product, wherein the method obtains the account information of a first user; the first face information of the first user is collected; the tag information of the product purchased by a second user is collected; the second face information of the second user is collected; when the first face information matching the second face information is presented, the shopping amount is deducted according to the tag information and the matching first face information. Based on the cloud technology, the first face information of the first user is collected by obtaining the account information of the first user, the tag information of the product purchased by the second user is collected, and the second face information of the second user is collected. When the first face information matching the second face information is presented, the purchase amount is deducted according to the tag information and the matching first face information, thereby realizing unmanned self-service shopping.

Description

Cloud-based self-service shopping method and system, electronic device, program product

Technical field

The present application relates to the field of computer technologies, and in particular, to a cloud-based self-service shopping method and system, an electronic device, and a program product.

Background technique

In daily life, supermarkets set up no more than 10 checkout channels, and a supermarket at the same time consumers may reach hundreds or even thousands. Especially on weekends or holidays, consumers need to queue a long queue after selecting good products in the supermarket. The supermarket recruits the cashier to scan the barcodes one by one. The checkout efficiency is low, consumers waste time in the queuing process, and even some consumption. Those who gave up shopping because they avoided queuing were an intangible loss to the supermarket, which affected the sales volume of the supermarket.

To this end, many large supermarkets try to open more checkout channels, but on the one hand, they need to recruit more cashiers. On the other hand, they are restricted by supermarkets. The checkout channel cannot be added indefinitely. Operating costs.

Summary of the invention

The embodiment of the present application provides a cloud-based self-service shopping method and system, an electronic device, and a program product, which are mainly used for self-service shopping.

In a first aspect, the embodiment of the present application provides a cloud-based self-service shopping method, where the method includes:

Obtaining account information of the first user;

Collecting first face information of the first user;

Collecting tag information of the products purchased by the second user;

Collecting second face information of the second user;

When there is first face information matching the second face information, the shopping amount is deducted according to the tag information and the matched first face information.

In a second aspect, an embodiment of the present application provides an electronic device, where the electronic device includes:

A memory, one or more processors; a memory coupled to the processor via a communication bus; a processor configured to execute instructions in the memory; the storage medium storing instructions for performing the various steps of the method of the first aspect.

In a third aspect, an embodiment of the present application provides a computer program product for use in conjunction with an electronic device including a display, the computer program product comprising a computer readable storage medium and a computer program mechanism embedded therein, the computer The program mechanism includes instructions for performing the various steps in the method of the first aspect described above.

In a fourth aspect, the embodiment of the present application provides a self-service shopping system, where the system includes: a first face collection device, a second face collection device, an account acquisition device, an electronic tag collection device, a data storage unit, and data. Processing unit

The first face collecting device is configured to acquire a first face image of the first user;

The second face collecting device is configured to acquire a second face image of the second user;

The account obtaining device is configured to obtain an account identifier;

The electronic label collecting device is configured to collect label information of the goods purchased by the second user;

The data storage unit is configured to store account information, first face information, and a first association relationship between the account information and the first face information;

The data storage unit is further configured to use a second association relationship between the price of the electronic label, the commodity, and the price of each electronic label and the corresponding commodity;

The data processing unit is configured to execute the instructions of each step in the method of the first aspect described above.

The benefits are as follows:

The application obtains the account information of the first user, collects the first face information of the first user, collects the tag information of the product purchased by the second user, and collects the second face information of the second user, when the presence and the second person exist. When the face information matches the first face information, the purchase amount is deducted according to the tag information and the matched first face information, thereby realizing unmanned self-service shopping.

DRAWINGS

Specific embodiments of the present application will be described below with reference to the accompanying drawings, in which:

1 is a schematic structural diagram of an unmanned shop in the embodiment of the present application;

2 is a schematic flowchart of a cloud-based self-service shopping method according to an embodiment of the present application;

FIG. 3 is a schematic flowchart of another cloud-based self-service shopping method according to an embodiment of the present application;

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

Detailed ways

The exemplary embodiments of the present application are further described in detail below with reference to the accompanying drawings, in which the embodiments described are only a part of the embodiments of the present application, but not all embodiments. An exhaustive example. And in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

At present, many large supermarkets respond to many consumers at the same time by trying to open more checkout channels. On the one hand, this method requires the recruitment of more cashiers. On the other hand, the restrictions on the supermarket venue are received, and the checkout channel cannot be added indefinitely. Both of these aspects will increase the operating cost of the supermarket.

Based on this, the embodiment of the present application provides a cloud-based self-service shopping method, which acquires account information of a first user, collects first face information of the first user, and collects tag information of the product purchased by the second user, and collects the first The second face information of the two users, when there is the first face information matching the second face information, deducting the shopping amount according to the tag information and the matched first face information, thereby realizing unmanned self-service shopping .

The cloud-based self-service shopping method provided by this embodiment can be run in a self-service shopping system, which is applied to an unmanned shop.

Among them, the unmanned shop includes at least: entrance (1.1), commodity purchase area (1.2)

And exports (1.3).

The self-service shopping system includes at least: a first face collection device (2.1), a second face collection device (2.2), an account acquisition device (2.3), an electronic tag collection device (2.4), a data storage unit (2.5), and data. Processing unit (2.6).

1, the first face collection device (2.1)

The first face collecting device (2.1) is configured to acquire a face image of the user.

At least one of the first face collection devices (2.1) is located at the entrance (1.1).

The first face collection device (2.1) located at the entrance (1.1) is used to acquire a face image of the user when the user enters the unattended shop. After obtaining the face image, the face image is used as the unique identifier of the user, and the corresponding account information, such as the bank card number, is associated.

The first face acquisition device (2.1) can be a camera.

2. Second face collection device (2.2)

The second face collection device (2.2) is also used to acquire a face image.

There is also at least one second face collection device (2.2), but unlike the first face collection device (2.1), the second face collection device (2.2) is located at the exit (1.3).

The second face collection device (2.2) located at the exit (1.3) is used to obtain a face image of the user after the user purchases the item. After acquiring the face image, the face image is compared with the face image acquired by the first face collection device (2.1), and the settlement account of the user is determined to automatically pay the purchase amount.

The second face acquisition device (2.2) can be a camera.

3. Account acquisition equipment (2.3)

The account acquisition device (2.3) is used to obtain an account identifier.

The account acquisition device (2.3) may be one or more. At least one account acquisition device (2.3) is located at the entrance (1.1).

The account obtaining device (2.3) at the entrance (1.1) obtains the account identifier when the user enters the unattended shop, and after obtaining the account identifier, performs the face image obtained by the first face collecting device (2.1). Correlate, so that the corresponding account identifier is found according to the face image at the time of checkout, and the purchase amount is automatically paid.

When there are multiple account acquisition devices (2.3), an account acquisition device (2.3) can be installed at the exit (1.3), and the account acquisition device (2.3) at the exit (1.3) can be used when the user face matching is unsuccessful. It is convenient for users to manually pay the purchase amount.

The account obtaining device (2.3) may be an account swiping device, and in addition, the account obtaining device (2.3) may also be a scanning device. The account acquisition device (2.3) can also be an account swiping device and a scanning device at the same time.

4. Electronic tag collection equipment (2.4)

The electronic label collecting device (2.4) is used for collecting label information of the products purchased by the user.

The electronic tag collection device (2.4) may be one or more, and at least one electronic tag collection device (2.4) is located at the exit (1.3).

In the unmanned shop, each item corresponds to a unique label. At the time of user checkout, the electronic label collection device (2.4) at the exit (1.3) can automatically collect the label of the user's selected item, and determine the item selected by the user according to the label. And the corresponding price, calculate the purchase amount.

The electronic tag collection device (2.4) is a radio frequency reader RFID reader.

5, data storage unit (2.5)

a data storage unit (2.5) for storing account information collected by the account acquisition device (2.3) at the entry (1.1), face information collected by the first face collection device (2.1) at the entry (1.1), and account information The relationship between the information and the face information.

The data storage unit (2.5) is also used to store the relationship between the electronic tag, the price of the product, and the price of each electronic tag and the corresponding item.

The data storage unit (2.5) can be a database.

6, data processing unit (2.6)

The data processing unit (2.6) is configured to execute the cloud-based self-service shopping method provided by the present application to implement a self-service shopping function.

The data processing unit (2.6) and the data storage unit (2.5) may be located in the same physical device, such as a server.

Figure 1 shows an implementation structure of the above unmanned shop. The entire system includes a camera, an account swipe/scan code device, an RFID reader, a data processing unit, and a data storage unit. The swipe/scan code device, camera and RFID reader can be placed at the entrance and exit of the store. The data processing unit acquires the user's account information, face information, and product information through the swipe/scan code device, the camera, and the RFID reader, and associates and stores the account with the face, face recognition, account matching, price statistics, and debit Delete the face account and other operations.

Before self-service shopping, each item in the unmanned shop will be assigned a unique label, such as a unique RFID tag attached to each item in the item purchase area (1.2). The RFID tag is a unique tag of the product, and the RFID tag can be associated with the product name such as the product name, the product price, and the product origin, and the product information such as the product name, the product price, and the product origin can be determined by the RFID tag.

The second association relationship between the product information such as the price of the electronic tag and the product, and the product information such as the price of each electronic tag and the corresponding product is stored in the data storage unit (2.5).

The flow of the cloud-based self-service shopping method provided by the data processing unit (2.6) is as shown in FIG. 2 .

201. Acquire account information of the first user.

Among them, the first user is a user who enters from the entrance (1.1).

Before the execution of this step, the account authorization of the first user may be obtained first. When performing this step, the account identifier is obtained, and the account information of the first user is obtained according to the account identifier.

Among them, the account identifier is generated according to the account authorization. The account information can be a bank account or an electronic money.

For example, before the execution of this step, the bank account authorization binding is performed in advance through the APP dedicated to the user's mobile phone. When the user enters the door, this step is performed to obtain the bank account.

If the APP dynamically generates a QR code in real time, the user's account information is obtained by scanning the QR code.

202: Collect first face information of the first user.

After performing step 201, step 202 can be performed automatically. In addition to this, step 202 can also be triggered. The triggering condition is: confirming that the account information of the first user is successfully obtained; or, the first condition that the face information collection is detected is triggered.

The first condition includes, but is not limited to, confirming that the account information of the first user is successfully acquired, and the face information collection button displayed at the portal (1.1) is clicked by the user.

That is, after step 201 is successfully executed, step 202 is triggered. Alternatively, step 201 is successfully performed, and step 202 is triggered after the face information collection button displayed at the portal (1.1) is clicked by the user.

For example, when the account is acquired, the camera is arranged at the appropriate position of the portal to directly collect the face information without the cooperation of the user. Once the scan code is successful, the face image is immediately triggered; or after the account is successfully obtained, the user can also obtain the account. Manually trigger face information collection.

When the step 202 is performed, the first face image of the first user may be obtained, and the first face image is determined as the first face information; or the first face image of the first user is acquired, and the first face is obtained. The image is subjected to face detection, and the first face feature information is extracted from the detected first face image, and the first face feature information is determined as the first face information.

For example, when the first face information is collected, the original face image information may be directly obtained, or may be a second extracted face information, such as performing face detection on the image first, and then based on the detected face image. Extract face features.

After collecting the first face information of the first user, the account information and the first face information are associated, and the account information, the first face information, and the first information between the account information and the first face information are An association relationship is stored in the data storage unit (2.5) to facilitate automatic checkout after the user completes the purchase.

For example, the two are associated according to the time when the account is acquired and the time when the face information is acquired, and the associated information is stored.

After performing

steps

201 and 202 on different users, the data storage unit (2.5) stores, in addition to the electronic tags storing all the products, the price information of the products, and the like, and the second information between the electronic tags and the price of the corresponding products. In addition to the association relationship, the face information of all users entering the unattended shop, the account information of all users, and the first relationship between the face information of all users and the account information are also stored.

After the execution of step 202, each user purchases himself in the merchandise purchase area (1.2) of the unmanned shop. When any user purchases and wants to checkout, the following steps 203 to 205 are performed.

203. Collect tag information of the product purchased by the second user.

The second user is a user who wants to check out and exits from the exit (1.3) after checkout.

Before the self-service shopping, each item in the unmanned shop has been assigned a unique label, and the product information such as the price of the electronic label and the product, and the price of each electronic label and the corresponding product are the same. The second association relationship is stored in the data storage unit (2.5). Therefore, the implementation of this step is: the electronic tag collection device (2.4) at the exit (1.3) reads the electronic tag of the product purchased by the second user.

And after collecting the tag information of the product purchased by the second user, determining the price of the product purchased by the second user according to the electronic tag and the second association relationship, and determining the price as the shopping amount.

If there are multiple items purchased by the second user, the sum of the prices of the purchased plurality of items is determined as the purchase amount.

For example, the RFID reader disposed in the exit channel for exiting the door automatically reads the RFID tag information within a certain distance, acquires the ID information of the product, and then queries the database to count the price of the user's purchased product.

204: Collect second face information of the second user.

After performing step 203, step 204 can be performed automatically. In addition to this, step 204 can also be triggered. The trigger condition is: confirm that the at least one tag information is successfully collected; or the second condition that the face information is detected is triggered.

Wherein, the second condition includes but is not limited to: the face information collection button displayed at the exit (1.3) is clicked by the user.

That is, in step 203, the electronic tag collection device (2.4) at the exit (1.3) successfully reads an electronic tag of a product purchased by the second user. Alternatively, it is monitored that the face information collection button displayed at the exit (1.3) is clicked by the user.

For example, when the step 202 is performed, the camera automatically collects the face image, and the RFID reader can also trigger the collection of the face image. For example, after the RFID reader recognizes the product, the face image is immediately triggered.

After the face image is acquired, the image is also subjected to face recognition. Specifically, acquiring a second face image of the second user, determining the second face image as the second face information; or acquiring the second face image of the second user, and performing the face on the second face image The detecting, extracting the second face feature information from the detected second face image, and determining the second face feature information as the second face information.

For example, after the face image is acquired, face detection and feature extraction are performed.

After performing step 204, each first face information stored in the data storage unit (2.5) is also matched with the second face information collected in step 204, and each first face information and the second person are calculated. The similarity between the face information, if there is a similarity between the first face information and the second face information is greater than a preset threshold, determining that there is first face information matching the second face information, the The first face information whose similarity of the two face information is greater than the preset threshold is the matched first face information.

For example, the second face information is compared with the first face information in the database for similarity (if the face information in the library is the original image information of the face, the feature extraction is required first), and the similarity can pass through the European The distance or the cosine distance is measured. After finding the most similar face, it is judged whether the similarity exceeds the set threshold. If it is exceeded, the matching is successful.

When there is no first face information matching the second face information, the matching fails. At this time, the information mismatch message may be sent to the second user, so that the second user may trigger the face information collection according to the message. The second condition, or, is such that the second user manually pays for the purchase amount based on the message.

For example, when the match fails, the user can be reminded to re-paint the face, or pay by hand.

205. When there is first face information that matches the second face information, the shopping amount is deducted according to the tag information and the matched first face information.

After step 202, the data storage unit (2.5) stores the face information of all users entering the unattended shop, the account information of all users, and the first relationship between the face information of all users and the account information, therefore, Step 205: Determine, according to the matched first face information and the first association relationship, account information corresponding to the matched first face information, and deduct the purchase amount according to the corresponding account information.

In addition, the more information stored in the data storage unit (2.5), the slower the data storage unit (2.5) runs, so after the purchase amount is deducted, the matching first face information is also deleted, and the matching first face is deleted. The relationship between the account information corresponding to the information, the first matching face information and the corresponding account information.

For example, the user's account information is matched according to the face information, and the deduction is performed, and finally the face information and the account information are deleted from the database.

To this end, the cloud-based self-service shopping method provided by the present application is completed, and the self-service shopping of the user is realized.

Referring to FIG. 3, the flow of the cloud-based self-service shopping method provided in this embodiment is again described.

If the user enters the unmanned shop, when the user enters the door, the user searches for the payment account authorized by the mobile phone, and captures the face information through the camera. The system associates the user account and face information with the database and stores it in the database. The database also stores all the information. Product ID and price information. All items are tagged with RFID. When the user goes out, the RFID card reader obtains the ID information on the user's product, the camera obtains the face information, obtains the payment account corresponding to the user through face recognition, and simultaneously counts the product price according to the product ID; then, the deduction is performed, and after the deduction is successful, Deleting the face information and account information in the background of the system is beneficial to ensure the security of the user information and ensure the response speed and user experience of the face recognition.

Beneficial effects:

In the embodiment of the present application, the account information of the first user is acquired, the first face information of the first user is collected, the tag information of the product purchased by the second user is collected, and the second face information of the second user is collected, when the presence and the When the first face information of the two face information matches, the purchase amount is deducted according to the tag information and the matched first face information, thereby realizing unmanned self-service shopping.

Based on the same concept, the embodiment of the present application further provides an electronic device. Referring to FIG. 4, the electronic device includes:

a memory 401, one or more processors 402; and a transceiver component 403, the memory, the processor, and the transceiver component 403 are connected by a communication bus (in the embodiment of the present application, the communication bus is an I/O bus); The storage medium stores instructions for performing the following steps:

Obtaining account information of the first user;

Collecting first face information of the first user;

Collecting tag information of the products purchased by the second user;

Collecting second face information of the second user;

When there is the first face information matching the second face information, the shopping amount is deducted according to the tag information and the matched first face information.

Optionally, before acquiring the account information of the first user, the method further includes:

Obtain the account authorization of the first user.

Optionally, obtaining account information of the first user, including:

Obtain an account identifier, and the account identifier is generated according to an account authorization;

Obtaining the account information of the first user according to the account identifier.

Optionally, before collecting the first face information of the first user, the method further includes:

Confirm that the first user's account information is successfully obtained; or,

The first condition for monitoring the face information collection is triggered.

Optionally, collecting the first face information of the first user, including:

Obtaining a first face image of the first user, and determining the first face image as the first face information; or

Obtaining a first face image of the first user, performing face detection on the first face image, extracting first face feature information from the detected first face image, and determining the first face feature information as the first Face information.

Optionally, after collecting the first face information of the first user, the method further includes:

Linking account information and first face information;

The first relationship between the account information, the first face information, and the account information and the first face information is stored.

Optionally, an electronic tag is placed for each item;

Before collecting the tag information of the goods purchased by the second user, the method further includes:

Associate the price of each electronic label and corresponding product;

The second association between the price of the electronic tag, the item, and the price of each electronic tag and the corresponding item is stored.

Optionally, collecting tag information of the product purchased by the second user, including:

Reading an electronic tag of a product purchased by a second user;

After collecting the tag information of the product purchased by the second user, the method further includes:

The price of the item purchased by the second user is determined according to the electronic tag and the second association relationship, and the price is determined as the purchase amount.

Optionally, before collecting the second face information of the second user, the method further includes:

Confirm that at least one tag information is successfully collected; or,

The second condition for monitoring the face information collection is triggered.

Optionally, collecting second face information of the second user, including:

Obtaining a second face image of the second user, and determining the second face image as the second face information; or

Obtaining a second face image of the second user, performing face detection on the second face image, extracting second face feature information from the detected second face image, and determining the second face feature information as the second Face information.

Optionally, the similarity between the matched first face information and the second face information is greater than a preset threshold.

Optionally, before deducting the purchase amount according to the label information and the matched first face information, the method further includes:

When there is no first face information matching the second face information, the information does not match the message, so that the second user triggers the second condition of the face information collection according to the message, or so that the second user according to the message Manually pay for the purchase amount.

Optionally, the shopping amount is deducted according to the tag information and the matched first face information, including:

Determining account information corresponding to the matched first face information according to the matched first face information and the first association relationship;

The purchase amount is deducted according to the corresponding account information.

Optionally, after deducting the purchase amount according to the label information and the matched first face information, the method further includes:

The matching first face information, the matching account information corresponding to the first face information, the first matching face information and the corresponding account information are deleted.

It is not difficult to understand that, in the specific implementation, in order to achieve the basic purpose of the present application, the above-mentioned transceiver component 403 is not necessarily required.

Beneficial effects:

In still another aspect, an embodiment of the present application further provides a computer program product for use in conjunction with an electronic device including a display, the computer program product comprising a computer readable storage medium and a computer program mechanism embedded therein, The computer program mechanism includes instructions for performing the various steps described below:

Obtaining account information of the first user;

Collecting first face information of the first user;

Collecting tag information of the products purchased by the second user;

Collecting second face information of the second user;

Obtain the account authorization of the first user.

Optionally, obtaining account information of the first user, including:

Confirm that the first user's account information is successfully obtained; or,

Optionally, collecting the first face information of the first user, including:

Linking account information and first face information;

Optionally, an electronic tag is placed for each item;

Associate the price of each electronic label and corresponding product;

Reading an electronic tag of a product purchased by a second user;

Confirm that at least one tag information is successfully collected; or,

Optionally, collecting second face information of the second user, including:

Beneficial effects:

Those skilled in the art will appreciate that embodiments of the present application can be provided as a method, system, or computer program product. Thus, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment in combination of software and hardware. Moreover, the application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (system), and computer program products according to embodiments of the present application. It will be understood that each flow and/or block of the flowchart illustrations and/or FIG. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine for the execution of instructions for execution by a processor of a computer or other programmable data processing device. Means for implementing the functions specified in one or more of the flow or in a block or blocks of the flow chart.

The computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device. The apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.

These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device. The instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

While the preferred embodiment of the present application has been described, it will be apparent that those skilled in the art can make further changes and modifications to the embodiments. Therefore, it is intended that the appended claims be interpreted as

Claims

A cloud-based self-service shopping method, characterized in that the method comprises:

Obtaining account information of the first user;

Collecting first face information of the first user;

Collecting tag information of the products purchased by the second user;

Collecting second face information of the second user;

When there is first face information matching the second face information, the shopping amount is deducted according to the tag information and the matched first face information.
The method according to claim 1, wherein before the obtaining the account information of the first user, the method further comprises:

Obtain the account authorization of the first user.
The method according to claim 2, wherein the obtaining the account information of the first user comprises:

Obtaining an account identifier, the account identifier being generated according to the account authorization;

Obtaining account information of the first user according to the account identifier.
The method according to claim 1, wherein before the collecting the first face information of the first user, the method further comprises:

Confirm that the first user's account information is successfully obtained; or,

The first condition for monitoring the face information collection is triggered.
The method according to claim 1, wherein the collecting the first face information of the first user comprises:

Obtaining a first face image of the first user, and determining the first face image as the first face information; or

Obtaining a first face image of the first user, performing face detection on the first face image, extracting first face feature information from the detected first face image, and using the first face The feature information is determined as the first face information.
The method according to claim 1, wherein after the collecting the first face information of the first user, the method further comprises:

Linking account information and first face information;

The first relationship between the account information, the first face information, and the account information and the first face information is stored.
The method according to claim 6, wherein each article is provided with an electronic tag;

Before collecting the label information of the product purchased by the second user, the method further includes:

Associate the price of each electronic label and corresponding product;

The second association between the price of the electronic tag, the item, and the price of each electronic tag and the corresponding item is stored.
The method according to claim 7, wherein the collecting tag information of the item purchased by the second user comprises:

Reading an electronic tag of the product purchased by the second user;

After the collecting the label information of the product purchased by the second user, the method further includes:

And determining, according to the electronic tag and the second association relationship, a price of the commodity purchased by the second user, and determining the price as the shopping amount.
The method according to claim 8, wherein before the collecting the second face information of the second user, the method further comprises:

Confirm that at least one tag information is successfully collected; or,

The second condition for monitoring the face information collection is triggered.
The method according to claim 9, wherein the collecting the second face information of the second user comprises:

Obtaining a second face image of the second user, and determining the second face image as the second face information; or

Acquiring a second face image of the second user, performing face detection on the second face image, extracting second face feature information from the detected second face image, and using the second face The feature information is determined as the second face information.
The method according to claim 1, wherein the similarity between the matched first face information and the second face information is greater than a preset threshold.
The method according to claim 8, wherein before the deducting the shopping amount according to the tag information and the matched first face information, the method further comprises:

When there is no first face information matching the second face information, the information does not match the message, so that the second user triggers the second condition of the face information collection according to the message, or Causing the second user to manually pay the purchase amount based on the message.
The method according to claim 8, wherein the deducting the shopping amount according to the tag information and the matched first face information comprises:

Determining account information corresponding to the matched first face information according to the matched first face information and the first association relationship;

The shopping amount is deducted according to the corresponding account information.
The method according to claim 13, wherein after the deducting the shopping amount according to the label information and the matched first face information, the method further comprises:

The matching first face information, the matching account information corresponding to the first face information, the first matching face information and the corresponding account information are deleted.
An electronic device, comprising: a memory, one or more processors; a memory coupled to the processor via a communication bus; the processor configured to execute instructions in the memory; the storage medium storing There are instructions for performing the various steps in the method of any of claims 1 to 14.
A computer program product for use in conjunction with an electronic device including a display, the computer program product comprising a computer readable storage medium and a computer program mechanism embodied therein, the computer program mechanism comprising for performing claim 1 14 instructions for each of the steps in any of the methods.
A self-service shopping system, comprising: a first face collection device, a second face collection device, an account acquisition device, an electronic tag collection device, a data storage unit, and a data processing unit;

The first face collecting device is configured to acquire a first face image of the first user;

The second face collecting device is configured to acquire a second face image of the second user;

The account obtaining device is configured to obtain an account identifier;

The electronic label collecting device is configured to collect label information of the goods purchased by the second user;

The data storage unit is configured to store account information, first face information, and a first association relationship between the account information and the first face information;

The data storage unit is further configured to store an electronic tag, a price of the commodity, and a second relationship between the price of each electronic tag and the corresponding commodity;

The data processing unit is operative to execute the instructions of the various steps of the method of any one of claims 1 to 14.
The system according to claim 17, wherein the face collecting device is a camera;

The account obtaining device is an account card swiping device, or the account obtaining device is a scan code device, or the account obtaining device is an account card swiping device and a scan code device;

The electronic tag collection device is a radio frequency reader RFID reader.