CN114360148A - Automatic selling method and device, electronic equipment and storage medium - Google Patents
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Abstract
The invention discloses an automatic selling method, an automatic selling device, electronic equipment and a storage medium. The method comprises the following steps: when the first article is identified to be included in the articles which the user wants to purchase, the biological characteristic data acquired by the biological characteristic information acquisition module of the automatic vending machine is acquired; determining user information by using an identification model according to the biological characteristic data; determining whether the user qualifies for purchase of the first item based on the user information; stopping selling the first item to the user when the user is not eligible for purchase of the first item. By adopting the scheme provided by the invention, the juveniles can be supervised during automatic shopping, and the articles such as tobacco, wine and the like are prevented from being sold to the juveniles.
Description
Technical Field
The invention relates to the technical field of automatic vending, in particular to an automatic vending method, an automatic vending device, electronic equipment and a storage medium.
Background
In urban life, vending machines have become indispensable purchasing devices for daily life. The equipment is convenient and quick to purchase. However, the automatic vending equipment cannot distinguish purchasing crowds, can sell articles such as tobacco and wine to minors, is not in line with the regulations of laws and regulations, and brings serious consequences.
Based on this, how to technically realize the automatic supervision of the shopping of minors is a technical problem which is urgently solved by the current automatic vending equipment.
Disclosure of Invention
In order to solve the technical problem that a vending machine cannot identify a user group, embodiments of the present invention provide a vending method, an apparatus, an electronic device, and a storage medium.
The technical scheme of the embodiment of the invention is realized as follows:
the embodiment of the invention provides an automatic selling method, which comprises the following steps:
when the first article is identified to be included in the articles which the user wants to purchase, the biological characteristic data acquired by the biological characteristic information acquisition module of the automatic vending machine is acquired;
determining user information by using an identification model according to the biological characteristic data;
determining whether the user qualifies for purchase of the first item based on the user information;
stopping selling the first item to the user when the user is not eligible for purchase of the first item.
In the above solution, after determining whether the user qualifies for the purchase of the first item based on the gender, the height, and the age group, the method further includes:
when the user is qualified to purchase the first item, the user's purchase operation is continued.
In the foregoing solution, when the biometric information collection module includes a camera, the determining, according to the biometric data and by using the recognition model, the user information includes:
acquiring a setting position of the camera in the vending machine;
and calculating the actual height of the human body of the user based on the set position, the shooting range of the camera and the user image acquired by the camera.
In the above scheme, calculating the actual height of the user according to the user image based on the setting position, the shooting range of the camera, and the user image collected by the camera includes:
determining the relative position of the face in the shooting range based on the shooting range and the position coordinates of the face in the user image;
and calculating the actual height of the human body of the user according to the relative position of the human face in the shooting range and the set position.
In the above solution, when the user information includes a gender and a height, the determining whether the user qualifies for the purchase of the first item based on the user information includes:
when the gender is female, judging the height by utilizing a first threshold value combination, and judging whether the user accords with the purchasing qualification of the first article;
and when the gender is male, judging the height by utilizing a second threshold value combination, and judging whether the user accords with the purchasing qualification of the first article.
In the foregoing solution, setting the first threshold combination includes:
obtaining a vending location of the vending machine;
determining a vending area of the vending machine based on the vending location;
acquiring height areas corresponding to all residents with female gender in all age groups in the selling area;
and taking each age group and the corresponding height area as the first threshold value combination.
In the above solution, when the user information includes a gender and a height, the determining whether the user qualifies for the purchase of the first item based on the user information includes:
acquiring a mapping relation table, wherein the mapping relation table comprises corresponding relations of a plurality of different genders, heights and age groups;
determining the age bracket to which the user belongs by using the gender, the height and the mapping relation table;
determining whether the user qualifies for purchase of the first item based on the age group.
An embodiment of the present invention further provides an automatic vending device, including:
the acquisition module is used for acquiring the biological characteristic data acquired by the biological characteristic information acquisition module of the automatic vending machine when the first article is identified to be included in the articles which the user wants to purchase;
the determining module is used for determining user information by utilizing an identification model according to the biological characteristic data;
the judging module is used for judging whether the user has the purchasing qualification of the first item or not based on the user information;
a stopping module for stopping selling the first item to the user when the user does not qualify for purchase of the first item.
An embodiment of the present invention further provides an electronic device, including: a processor and a memory for storing a computer program capable of running on the processor; wherein the content of the first and second substances,
the processor is adapted to perform the steps of any of the methods described above when running the computer program.
The embodiment of the invention also provides a storage medium, wherein a computer program is stored in the storage medium, and when the computer program is executed by a processor, the steps of any one of the methods are realized.
According to the automatic vending method, the automatic vending device, the electronic equipment and the storage medium, when the fact that the articles which the user wants to purchase comprise the first article is identified, the biological characteristic data acquired by the biological characteristic information acquisition module of the automatic vending machine are acquired; determining user information by using an identification model according to the biological characteristic data; determining whether the user qualifies for purchase of the first item based on the user information; stopping selling the first item to the user when the user is not eligible for purchase of the first item. By adopting the scheme provided by the invention, the juveniles can be supervised during automatic shopping, and the articles such as tobacco, wine and the like are prevented from being sold to the juveniles.
Drawings
FIG. 1 is a schematic flow chart of a vending method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a vending machine according to an embodiment of the present invention;
fig. 3 is an internal structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
An embodiment of the present invention provides an automatic vending method, as shown in fig. 1, the method includes:
step 101: when the first article is identified to be included in the articles which the user wants to purchase, the biological characteristic data acquired by the biological characteristic information acquisition module of the automatic vending machine is acquired;
step 102: determining user information by using an identification model according to the biological characteristic data;
step 103: determining whether the user qualifies for purchase of the first item based on the user information;
step 104: stopping selling the first item to the user when the user is not eligible for purchase of the first item.
In particular, the first item may comprise tobacco, wine, or other items that are not suitable for sale to minors. In actual application, whether the first item is included in the items purchased by the user can be determined by acquiring the shopping list of the user. Specifically, when a user purchases an item on the vending machine, the user may determine the item that the user wants to purchase by clicking a button or clicking a link. When a user clicks a button or clicks a link, an item corresponding to the button or the link is put into a shopping cart or a shopping list, and the user can determine an item which the user wants to purchase by inquiring the shopping cart or the shopping list. Thus, here, the shopping cart or shopping list may be utilized to determine whether the first item is included in the items that the user wants to purchase. When it is recognized that the item that the user wants to purchase includes the first item, the operation of the method in the present embodiment is performed.
Specifically, when it is recognized that the first item is included in the items that the user wants to purchase, the biometric data of the user can be obtained by using the biometric information collection module on the vending machine. For example, a user image may be acquired through a camera, and it is determined whether the user qualifies for purchase of the first item based on the user image acquired by photographing.
When the user does not have or does not conform to the purchasing qualification of the first item, the first item is stopped from being sold to the user, and the tobacco and wine are prevented from being sold to minors. In one embodiment, the user's purchase operation may continue to be performed when the user qualifies for purchase of the first item. That is, the first item may be allowed to be sold to the user when the user qualifies for a purchase.
In actual application, after the biological characteristic data is obtained, the user information can be determined by using the identification model; and judging whether the user accords with the purchasing qualification of the first item or not based on the user information. Here, the recognition model may be a neural network model. In practical application, a plurality of recognition results such as the gender, the height and the age of the user can be recognized by using one neural network model based on the biological characteristic data, and one result of the plurality of recognition results such as the gender, the height and the age of the user can be recognized by using each neural network model in the plurality of neural network models based on the biological characteristic data. For example, a first neural network model, based on biometric data, identifies the gender of the user; a second neural network model for identifying the height of the user based on the biometric data; and the third neural network model identifies the age bracket of the user based on the biological characteristic data. Certainly, in practical application, one neural network model can also identify partial results in three results of the sex, the height and the age of the user, and the other neural network model can identify the rest partial results.
Further, in an embodiment, when the biometric information collection module includes a camera, the determining, according to the biometric data and using a recognition model, user information includes:
acquiring a setting position of the camera in the vending machine;
and calculating the actual height of the human body of the user based on the set position, the shooting range of the camera and the user image acquired by the camera.
In practical application, the camera is fixed in the automatic vending machine, so that the position of the face in the captured picture is identified through the captured picture by the camera, and the height of the human body can be calculated. Here, different types of vending machines, the setting position of camera is different, and the shooting scope that different types of camera can shoot is also different, therefore, can save in advance the camera is located vending machine's setting position, and the shooting scope of camera to follow-up can in time confirm user's height according to the user's image of shooing.
Specifically, after the photographed user image is acquired, the height of the user can be determined after corresponding conversion and processing based on the setting position of the vending machine where the camera is located, the photographing range of the camera, and the user image.
Further, in an embodiment, calculating the actual height of the user according to the user image collected by the camera based on the setting position, the shooting range of the camera, and the setting position includes:
determining the relative position of the face in the shooting range based on the shooting range and the position coordinates of the face in the user image;
and calculating the actual height of the human body of the user according to the relative position of the human face in the shooting range and the set position.
In practical application, based on the shooting range of the camera, the position of the face of the user in the user image is in one-to-one correspondence with the position of the user in the shooting range of the camera, so that based on the position coordinates of the face of the user in the user image, the relative position of the face in the shooting range can be determined through conversion. And then the height of the user can be calculated by combining the setting height of the camera. Here, the specific conversion and processing algorithm may be a general data processing algorithm, which is not described herein.
Further, in an embodiment, when the user information includes gender and height, the determining whether the user qualifies for the purchase of the first item based on the user information includes:
when the gender is female, judging the height by utilizing a first threshold value combination, and judging whether the user accords with the purchasing qualification of the first article;
and when the gender is male, judging the height by utilizing a second threshold value combination, and judging whether the user accords with the purchasing qualification of the first article.
Specifically, based on the age of 18 years or more, the range of heights of men and women is different, and different threshold combinations can be used to determine whether the user meets the purchase eligibility of the first item based on the gender of the user.
The first threshold value combination includes a first height threshold value and a first age threshold value, and when the gender of the user is female, the height of the user is compared with the first height threshold value, and the age of the user is compared with the first age threshold value. And when the height of the user is greater than the first height threshold value and the age bracket of the user is superior to the first age bracket threshold value, judging that the user accords with the purchasing qualification of the first article. And when the height of the user is less than or equal to the first height threshold value or the age group of the user is less than or equal to the first age group threshold value, judging that the user is not qualified for purchasing the first item.
Correspondingly, the second threshold combination comprises a second height threshold and a second age threshold, and when the gender of the user is male, the height of the user is compared with the second height threshold, and the age of the user is compared with the second age threshold. And when the height of the user is greater than the second height threshold value and the age group of the user is superior to the second age group threshold value, judging that the user accords with the purchasing qualification of the first article. And when the height of the user is less than or equal to the second height threshold value or the age group of the user is less than or equal to the second age group threshold value, judging that the user is not qualified for purchasing the first item.
In practical application, in order to further prevent a judgment error and improve the identification accuracy, on the basis of determining the gender of the user, besides a single judgment index of the first height threshold and the first age group threshold, the first threshold combination may further include a plurality of height and age corresponding pairs. That is, in the first threshold combination, the height thresholds are different for different age groups. For example, the first threshold combination includes: the height threshold value corresponding to the age range of 20-25 is A, the height threshold value corresponding to the age range of 25-30 is B, and the height threshold value corresponding to the age range of 30-35 is C. When the gender of the user is female and the age range of the user is 25 to 30, the height a of the user at the moment can be compared with a height threshold value B, when the height a of the user is greater than the height threshold value B, the user is judged to be in accordance with the purchase qualification of the first article, and when the height a of the user is less than or equal to the height threshold value B, the user is judged to be not in accordance with the purchase qualification of the first article.
Here, the height ranges to which they may belong are different due to the user groups of different age groups. For example, the height range of the user group of the old generation is relatively shorter than that of the user group of the new generation, and if the judgment is performed by adopting the consistent standard, the judgment result may be inaccurate.
Further, in an embodiment, setting the first threshold combination comprises:
obtaining a vending location of the vending machine;
determining a vending area of the vending machine based on the vending location;
acquiring height areas corresponding to all residents with female gender in all age groups in the selling area;
and taking each age group and the corresponding height area as the first threshold value combination.
Here, the height thresholds corresponding to different age groups are further determined according to different positions of the vending machines, so that the determination result can be further improved, and the determination accuracy can be enhanced.
In addition to the above, other determination methods may be used to determine whether the user is eligible for the purchase of the first item.
Further, in an embodiment, when the user information includes gender and height, the determining whether the user qualifies for the purchase of the first item based on the user information includes:
acquiring a mapping relation table, wherein the mapping relation table comprises corresponding relations of a plurality of different genders, heights and age groups;
determining the age bracket to which the user belongs by using the gender, the height and the mapping relation table;
determining whether the user qualifies for purchase of the first item based on the age group.
Here, a plurality of combination types of different genders, heights, and age groups may be directly preset, and whether the user is eligible for purchase of the first item may be determined according to the different combination types. For example, the predetermined gender A1, height B1, age group C1 correspond to a first item's purchase eligibility; the preset sex A2, the height B1 and the age group C1 correspond to the purchasing qualification of the first item; the predetermined gender A2, height B2, age group C1 corresponds to non-compliance with the first item's purchase eligibility. Here, after acquiring the gender, height and age of the user, the purchasing qualification of the user can be determined directly by querying the mapping relation table.
Of course, in practical application, simple judgment rules can be adopted for judgment. For example, whether male or female, only if the user is less than 18 years of age, or less than 150 centimeters in height, the user is considered to be a minor and does not qualify for purchase of the first item.
A specific embodiment will be described below based on the above. That is, when a transaction occurs, the age of the purchasing user is judged by facial recognition using the following procedure, and if the age is 18 years or less, the transaction is terminated. Specifically, the method comprises the following steps:
step 1: the vending machine determines whether the goods selected by the user include special goods such as cigarettes and wine.
Step 2: and if so, acquiring the face image and the gender of the user and measuring the height of the user.
And step 3: and judging whether the age of the user is less than 18 years old or not according to the data such as the face image, the gender and the height. (for example, an age label is output through a human face, image recognition can be adopted, CNN and other image recognition processing models are adopted, the models are trained in advance, the model is used for classifying the human face images after training to obtain the age label, if the label is a minor, the transaction is directly refused, if the label is an adult, whether the height is larger than a preset threshold value is judged, and if the label is an adult, the transaction is allowed.)
And 4, step 4: if the user is less than 18 years of age, the transaction is terminated.
The embodiment can realize automatic supervision of minors, and has reliable and effective process.
According to the automatic vending method provided by the embodiment of the invention, when the first article is identified in the articles which the user wants to purchase, the biological characteristic data acquired by the biological characteristic information acquisition module of the automatic vending machine is acquired; determining user information by using an identification model according to the biological characteristic data; determining whether the user qualifies for purchase of the first item based on the user information; stopping selling the first item to the user when the user is not eligible for purchase of the first item. By adopting the scheme provided by the invention, the juveniles can be supervised during automatic shopping, and the articles such as tobacco, wine and the like are prevented from being sold to the juveniles.
In order to implement the method according to the embodiment of the present invention, an embodiment of the present invention further provides a vending apparatus, as shown in fig. 2, the vending apparatus 200 includes: the device comprises an acquisition module 201, a determination module 202, a judgment module 203 and a stop module 204; wherein the content of the first and second substances,
the acquisition module 201 is used for acquiring the biological characteristic data acquired by the biological characteristic information acquisition module of the vending machine when the first article is identified to be included in the articles which the user wants to purchase;
a determining module 202, configured to determine user information by using an identification model according to the biometric data;
a determining module 203, configured to determine whether the user qualifies for the purchase of the first item based on the user information;
a stopping module 204 for stopping selling the first item to the user when the user does not qualify for purchase of the first item.
In practice, the obtaining module 201, the determining module 202, the determining module 203 and the stopping module 204 may be implemented by a processor in the vending machine.
It should be noted that: the above-mentioned apparatus provided in the above-mentioned embodiment is only exemplified by the division of the above-mentioned program modules when executing, and in practical application, the above-mentioned processing may be distributed to be completed by different program modules according to needs, that is, the internal structure of the terminal is divided into different program modules to complete all or part of the above-mentioned processing. In addition, the apparatus provided by the above embodiment and the method embodiment belong to the same concept, and the specific implementation process thereof is described in the method embodiment and is not described herein again.
To implement the method of the embodiments of the present invention, the embodiments of the present invention also provide a computer program object, which includes computer instructions, the computer instructions being stored in a computer readable storage medium. A processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions to cause the computer device to perform the steps of the above-described method.
Based on the hardware implementation of the program module, in order to implement the method according to the embodiment of the present invention, an electronic device (computer device) is also provided in the embodiment of the present invention. Specifically, in one embodiment, the computer device may be a terminal, and its internal structure diagram may be as shown in fig. 3. The computer apparatus includes a processor a01, a network interface a02, a display screen a04, an input device a05, and a memory (not shown in the figure) connected through a system bus. Wherein processor a01 of the computer device is used to provide computing and control capabilities. The memory of the computer device comprises an internal memory a03 and a non-volatile storage medium a 06. The nonvolatile storage medium a06 stores an operating system B01 and a computer program B02. The internal memory a03 provides an environment for the operation of the operating system B01 and the computer program B02 in the nonvolatile storage medium a 06. The network interface a02 of the computer device is used for communication with an external terminal through a network connection. The computer program is executed by the processor a01 to implement the method of any of the above embodiments. The display screen a04 of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device a05 of the computer device may be a touch layer covered on the display screen, a button, a trackball or a touch pad arranged on a casing of the computer device, or an external keyboard, a touch pad or a mouse.
Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
The device provided by the embodiment of the present invention includes a processor, a memory, and a program stored in the memory and capable of running on the processor, and when the processor executes the program, the method according to any one of the embodiments described above is implemented.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program object. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program object embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program objects according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include transitory computer readable media (transmyedia) such as modulated data signals and carrier waves.
It will be appreciated that the memory of embodiments of the invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. Among them, the nonvolatile Memory may be a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a magnetic random access Memory (FRAM), a Flash Memory (Flash Memory), a magnetic surface Memory, an optical disk, or a Compact Disc Read-Only Memory (CD-ROM); the magnetic surface storage may be disk storage or tape storage. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of illustration and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Synchronous Static Random Access Memory (SSRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), Enhanced Synchronous Dynamic Random Access Memory (ESDRAM), Enhanced Synchronous Dynamic Random Access Memory (Enhanced DRAM), Synchronous Dynamic Random Access Memory (SLDRAM), Direct Memory (DRmb Access), and Random Access Memory (DRAM). The described memory for embodiments of the present invention is intended to comprise, without being limited to, these and any other suitable types of memory.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A vending method, characterized in that the method comprises:
when the first article is identified to be included in the articles which the user wants to purchase, the biological characteristic data acquired by the biological characteristic information acquisition module of the automatic vending machine is acquired;
determining user information by using an identification model according to the biological characteristic data;
determining whether the user qualifies for purchase of the first item based on the user information;
stopping selling the first item to the user when the user is not eligible for purchase of the first item.
2. The method of claim 1, wherein after determining whether the user qualifies for purchase of the first item based on the gender, the height, and the age group, the method further comprises:
when the user is qualified to purchase the first item, the user's purchase operation is continued.
3. The method of claim 1, wherein when the biometric information acquisition module comprises a camera, the determining user information using a recognition model based on the biometric data comprises:
acquiring a setting position of the camera in the vending machine;
and calculating the actual height of the human body of the user based on the set position, the shooting range of the camera and the user image acquired by the camera.
4. The method of claim 3, wherein calculating the actual body height of the user from the user's image based on the set position, the camera's capture range, and the camera's acquisition comprises:
determining the relative position of the face in the shooting range based on the shooting range and the position coordinates of the face in the user image;
and calculating the actual height of the human body of the user according to the relative position of the human face in the shooting range and the set position.
5. The method of claim 1, wherein when the user information includes gender and height, the determining whether the user qualifies for purchase of the first item based on the user information comprises:
when the gender is female, judging the height by utilizing a first threshold value combination, and judging whether the user accords with the purchasing qualification of the first article;
and when the gender is male, judging the height by utilizing a second threshold value combination, and judging whether the user accords with the purchasing qualification of the first article.
6. The method of claim 5, wherein setting the first combination of thresholds comprises:
obtaining a vending location of the vending machine;
determining a vending area of the vending machine based on the vending location;
acquiring height areas corresponding to all residents with female gender in all age groups in the selling area;
and taking each age group and the corresponding height area as the first threshold value combination.
7. The method of claim 1, wherein when the user information includes gender and height, the determining whether the user qualifies for purchase of the first item based on the user information comprises:
acquiring a mapping relation table, wherein the mapping relation table comprises corresponding relations of a plurality of different genders, heights and age groups;
determining the age bracket to which the user belongs by using the gender, the height and the mapping relation table;
determining whether the user qualifies for purchase of the first item based on the age group.
8. A vending apparatus, characterized in that the vending apparatus comprises:
the acquisition module is used for acquiring the biological characteristic data acquired by the biological characteristic information acquisition module of the automatic vending machine when the first article is identified to be included in the articles which the user wants to purchase;
the determining module is used for determining user information by utilizing an identification model according to the biological characteristic data;
the judging module is used for judging whether the user has the purchasing qualification of the first item or not based on the user information;
a stopping module for stopping selling the first item to the user when the user does not qualify for purchase of the first item.
9. An electronic device, comprising: a processor and a memory for storing a computer program capable of running on the processor; wherein the content of the first and second substances,
the processor is adapted to perform the steps of the method of any one of claims 1 to 7 when running the computer program.
10. A storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the steps of the method of any one of claims 1 to 7.
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