CN110942293A

CN110942293A - Article information processing method, device, storage medium and system

Info

Publication number: CN110942293A
Application number: CN201811110179.0A
Authority: CN
Inventors: 杨文学
Original assignee: Alibaba Group Holding Ltd
Current assignee: Alibaba Group Holding Ltd
Priority date: 2018-09-21
Filing date: 2018-09-21
Publication date: 2020-03-31
Anticipated expiration: 2038-09-21
Also published as: CN110942293B

Abstract

The embodiment of the application provides a method, equipment, a storage medium and a system for processing article information. In the embodiment of the application, the weighing terminal can automatically acquire the weight parameter information and the article identification information of at least one type of articles to be purchased and provide the weight parameter information and the article identification information to the server, and the server determines the payment information of at least one type of articles to be purchased and returns the payment information to the weighing terminal, wherein the process of determining the payment information of at least one type of articles to be purchased is automatically realized, so that the time of waiting for acquiring the payment information by a user is greatly reduced, human errors in the processes of checkout and weighing realized in a manual mode are reduced, and good shopping experience is brought to the user.

Description

Article information processing method, device, storage medium and system

Technical Field

The present application relates to the field of internet of things technology, and in particular, to a method, device, storage medium, and system for processing article information.

Background

With the development of the internet, online shopping is increasingly favored by users due to the characteristics of convenience and rapidness, but the online shopping cannot completely replace the traditional offline shopping. In online shopping, a user entering a physical store may view physical items and optionally go to purchase the items. However, when the user selects the item for payment, the cashier of the physical store may be required to calculate the price of the item purchased by the user, which may increase the waiting time of the user, and may cause errors and affect the off-line purchasing experience of the user when the user manually performs the shopping payment.

Disclosure of Invention

Aspects of the present disclosure provide a method, device, storage medium, and system for processing item information, so as to improve shopping efficiency and enhance shopping experience of a user.

The embodiment of the application provides a method for processing article information, which is suitable for a weighing terminal and comprises the following steps: responding to an article placing operation on a bearing surface of the weighing terminal, and acquiring weight parameter information and article identification information of at least one type of article to be purchased on the bearing surface; sending the weight parameter information and the article identification information of the at least one type of articles to be purchased to a server so that the server can calculate the payment information of the at least one type of articles to be purchased; and receiving the payment information of the at least one type of the to-be-purchased articles sent by the server and outputting the payment information.

An embodiment of the present application further provides a method for processing article information, which is applicable to a server, and includes: receiving weight parameter information and article identification information of at least one type of articles to be purchased, which are sent by a weighing terminal, wherein the at least one type of articles to be purchased are positioned on a bearing surface of the weighing terminal; calculating payment information of the at least one type of articles to be purchased according to the weight parameter information and the article identification information of the at least one type of articles to be purchased; and returning the payment information of the at least one type of the articles to be purchased to the weighing terminal so that the weighing terminal can output the payment information.

The embodiment of the present application further provides a weighing terminal, including: the device comprises a bearing surface, an information acquisition unit, a communication unit and a processor; the bearing surface is used for acquiring weight parameter information of at least one type of articles to be purchased on the bearing surface; the system comprises an information acquisition unit, an article identification information processor for acquiring at least one type of articles to be purchased, and a communication component for sending the weight parameter information and the article identification information of the at least one type of articles to be purchased to a server so that the server can calculate the payment information of the at least one type of articles to be purchased, receive the payment information of the at least one type of articles to be purchased sent by the server and output the payment information.

Embodiments of the present application also provide a computer-readable storage medium storing a computer program, which when executed by one or more processors causes the one or more processors to implement the steps of the above-mentioned method.

The embodiment of the application also provides a server, which comprises a memory, a processor and a communication component; the memory for storing a computer program; the processor to execute the computer program to: receiving weight parameter information and article identification information of at least one type of articles to be purchased, which are sent by a weighing terminal; calculating payment information of the at least one type of articles to be purchased according to the weight parameter information and the article identification information of the at least one type of articles to be purchased; and returning the payment information to the weighing terminal through the communication component.

An embodiment of the present application further provides a system for processing article information, including: a weighing terminal and a server; the weighing terminal is used for responding to an article placing operation on a bearing surface of the weighing terminal, acquiring weight parameter information and article identification information of at least one type of article to be purchased on the bearing surface, sending the weight parameter information and the article identification information of the at least one type of article to be purchased to a server, receiving payment information of the at least one type of article to be purchased returned by the server, and outputting the payment information; the server is used for receiving the weight parameter information and the article identification information of at least one type of articles to be purchased sent by the weighing terminal, calculating the payment information of the at least one type of articles to be purchased according to the weight parameter information and the article identification information of the at least one type of articles to be purchased, and returning the payment information to the weighing terminal.

An embodiment of the present application further provides an apparatus, including: the bearing surface comprises a plurality of sub bearing surfaces, and the sub bearing surfaces are suitable for bearing a class of articles and detecting the quality of the articles borne by the sub bearing surfaces; the IO component is suitable for communicating with the server and receiving and transmitting data, wherein the transmitted data comprise the quality of the article and the position representation information on the bearing surface; and the display assembly is suitable for displaying the quality of the article and the position representation information on the bearing surface.

An embodiment of the present application further provides an apparatus, including: the bearing surface comprises a plurality of sub bearing surfaces, wherein the sub bearing surfaces are suitable for bearing articles with the same price and detecting the weight of the articles borne by the sub bearing surfaces and position representation information on the bearing surfaces; the information acquisition assembly is suitable for acquiring article identification information of one or more articles on a plurality of sub-bearing surfaces on the bearing surface, wherein the article identification information corresponds to the position representation information; the calculating component is suitable for acquiring article price information according to the article identification information and calculating the price according to the quality corresponding to the position representation information of the article and the article price information; and the display assembly is suitable for displaying the position representation information, the article identification information and the weight of the article on the sub bearing surface and the calculated price.

In the embodiment of the application, the weighing terminal can automatically acquire the weight parameter information and the article identification information of at least one type of articles to be purchased and provide the weight parameter information and the article identification information to the server, and the server determines the payment information of at least one type of articles to be purchased and returns the payment information to the weighing terminal, wherein the process of determining the payment information of at least one type of articles to be purchased is automatically realized, so that the time of waiting for acquiring the payment information by a user is greatly reduced, human errors in the processes of checkout and weighing realized in a manual mode are reduced, and good shopping experience is brought to the user.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

FIG. 1 is a block diagram of an exemplary item information processing system according to the present application;

fig. 2 is a flowchart illustrating a method for processing item information according to another exemplary embodiment of the present application;

fig. 3 is a schematic flowchart of a further item information processing method according to another exemplary embodiment of the present application;

fig. 4 is a schematic structural framework diagram of an article information processing device according to another exemplary embodiment of the present application;

fig. 5 is a schematic structural framework diagram of a device for processing item information according to another exemplary embodiment of the present application;

FIG. 6 is a schematic structural diagram of a weighing terminal provided in another exemplary embodiment of the present application;

fig. 7 is a schematic structural diagram of another server according to another exemplary embodiment of the present application;

FIG. 8 is a schematic diagram of an apparatus according to yet another exemplary embodiment of the present application;

fig. 9 is a schematic structural diagram of another apparatus according to another exemplary embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

In the conventional online shopping, a customer, that is, a user, needs to go to a physical store (particularly, a vegetable and fruit supermarket) to select articles or commodities in the physical store, and settle accounts for the selected articles, so that the online shopping is completed; in the online shopping, because a large number of customers and relatively few service personnel in the physical store are provided, when the customers finish the article selection and prepare for payment, a large amount of time is often consumed for waiting for payment, so that the customers are brought with poor online shopping experience, and meanwhile, in the process of article payment, the payment information is wrong due to human factors. In some embodiments of the application, the weighing terminal can automatically acquire the weight parameter information and the article identification information of at least one type of article to be purchased and provide the weight parameter information and the article identification information to the server, and the server determines the payment information of at least one type of article to be purchased and returns the payment information to the weighing terminal, wherein the process of determining the payment information of at least one type of article to be purchased is automatically realized, so that the time of waiting for acquiring the payment information or weighing by a user is greatly reduced, human errors in the processes of checkout and weighing realized in a manual mode are reduced, and good shopping experience is brought to the user.

The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.

Fig. 1 is a schematic structural diagram of a system for processing item information according to an exemplary embodiment of the present application. As shown in fig. 1, the processing system 100 includes: a weighing terminal 101 and a server 102.

The weighing terminal 101 may be a terminal device of an entity store, may be disposed in the entity store, or may be disposed at a doorway of the entity store, and the weighing terminal 101 may also be a terminal device of an entity booth, which may be indoor or outdoor, so that the weighing terminal 101 may be disposed at an indoor booth or an outdoor booth. The weighing terminal 101 is mainly responsible for weighing, pricing and other related transaction processing of goods or commodities purchased by a user in a physical store or a physical stall.

The weighing terminal 101 may be any device with certain computing capabilities, for example, an intelligent scale or the like. The basic structure of the weighing terminal 101 includes: at least one processor. The number of processors depends on the configuration and type of weighing terminal 101. The weighing terminal 101 may also include a Memory, which may be volatile, such as RAM, or non-volatile, such as Read-Only Memory (ROM), flash Memory, etc., or may include both types. The memory typically stores an Operating System (OS), one or more application programs, and may also store program data and the like. In addition to the processing unit and the memory, the weighing terminal 101 further includes some basic configurations, such as a network card chip, an IO bus, an audio/video component, and an information acquisition unit (e.g., a visual sensor, an odor sensor, wherein the visual sensor may also be a camera or a laser scanner), and the like. Optionally, the weighing terminal 101 may also include some peripherals, such as a keyboard, a mouse, a stylus, a printer, a code scanning gun, etc. The code scanning gun can scan various code patterns such as various bar codes or two-dimensional codes and the like to obtain related information. Other peripheral devices are well known in the art and will not be described in detail herein.

One or more weighing terminals 101 may be provided according to the size of a physical store or the size of a physical booth. The physical stores or the physical booths can be any physical space with a certain space and a selling function or a behavior, the physical booths can be supermarkets, convenience stores, shopping malls and the like, and the physical booths can be selling booths in places such as a food market and the like.

The server 102 is a server that can perform transaction processing in a network virtual environment, and is generally a server that can perform operations related to product weight, price calculation, payment, and the like based on the internet. The server 102 may be a transaction server of each e-commerce platform or online transaction website, or may be a third-party server. In physical implementation, the server 102 may be any device capable of providing computing services, responding to service requests, and performing processing, and may be, for example, a conventional server, a cloud host, a virtual center, and the like. The server mainly comprises a processor, a hard disk, a memory, a system bus and the like, and is similar to a general computer framework.

In the present embodiment, the weighing terminal 101 is network-connected to the server 102. The weighing terminal 101 and the server 102 may be connected by a wireless or wired network. If the weighing terminal 101 is communicatively connected to the server 102 through a mobile network, the network format of the mobile network may be any one of 2G (gsm), 2.5G (gprs), 3G (WCDMA, TD-SCDMA, CDMA2000, UTMS), 4G (LTE), 4G + (LTE +), WiMax, and the like.

The functional implementation of the processing system 100 of the present embodiment is described in detail below:

the weighing terminal 101 is configured to respond to an article placement operation on a bearing surface of the weighing terminal 101, acquire weight parameter information and article identification information of at least one type of article to be purchased on the bearing surface, send the weight parameter information and the article identification information of the at least one type of article to be purchased to the server 102, receive payment information of the at least one type of article to be purchased returned by the server 102, and output the payment information.

In this embodiment, the weighing terminal 101 has a carrying surface, and the carrying surface can carry the same kind of articles at the same time, and can also carry a plurality of different kinds of articles at the same time. For example, when a salesperson places an article to be purchased by a consumer on the carrying surface, the weighing terminal 101 may sense the article placing operation and enter a working state. Of course, in some self-service stores, the consumer may also place the article to be purchased on the carrying surface in person, and the weighing terminal 101 enters the working state after sensing the article placement operation.

The weighing terminal 101 may obtain weight parameter information and article identification information of at least one type of article to be purchased placed on the bearing surface, and send the obtained weight parameter information and article identification information of the at least one type of article to be purchased to the server 102, where the server 102 is responsible for calculating payment information of the at least one type of article to be purchased.

The article identification information is mainly used for identifying the article and the category of the article, and may be any information which can be collected and can identify the article and the category thereof. In an optional implementation manner, attribute information of each type of article in at least one type of article to be purchased may be used as article identification information of the type of article, and the attribute information of each type of article may uniquely identify a category to which the type of article belongs. The attribute information of each type of article can be one or more of image information, contour information, odor information and the like of the article. For example, the attribute information of the apple may be a picture including the apple, or the attribute information of the apple may be a smell of the apple and a contour of the apple. Of course, the attribute information of the apple may be a picture including the apple, a smell of the apple, and a contour of the apple.

In some examples, the weighing terminal 101 includes an information collecting unit for collecting attribute information of each of at least one type of items to be purchased as item identification information. Optionally, the information acquisition unit may include: the visual sensor, or the odor sensor, may also include both a visual sensor and an odor sensor. It should be noted that the information acquisition unit may also include other devices, and is not limited to the examples listed herein.

The number of the cameras is at least one, and a plurality of cameras can be arranged according to the size of the bearing surface; the number of the laser scanners or the laser scanners can be one, or a plurality of laser scanners can be arranged according to the size of the bearing surface, and the arranged positions can be above the bearing surface or arranged on one side of the bearing surface of the unit; and the odor sensor may be one or more. In addition, camera, laser scanner and laser scanner's camera lens all can rotate, the required information of collection that like this can be more comprehensive. Only the camera 103 is shown in fig. 1, and the camera 103 is connected to the terminal apparatus 101. It should be understood that both the laser scanner or laser scanner and the odor sensor can be connected to the terminal device 101 like the camera 103.

The following description is made separately in connection with several examples of information collecting units listed above. Optionally, a visual sensor, such as a camera, is disposed on the weighing terminal 101. The bearing surface of the weighing terminal 101 is located in the visual field of the visual sensor, so that the visual sensor can acquire an image of the bearing surface, and if an article is to be purchased on the bearing surface, the image acquired by the visual sensor includes an image of the article to be purchased. Based on this, the manner of acquiring the image information may include: the image information of various articles to be purchased on the bearing surface is acquired through a visual sensor, such as a camera, arranged on the weighing terminal 101.

Optionally, a visual sensor, such as a laser scanner or a laser scanner, capable of acquiring the contour of the object may be further disposed on the weighing terminal 101. The bearing surface of the weighing terminal 101 is located within the scanning range of the laser scanner or laser scanner, so that when an item is to be purchased on the bearing surface, the laser scanner can collect profile information of the item to be purchased on the bearing surface. For example, the manner of obtaining the outline information of the item to be purchased may include: contour information of each type of item to be purchased (e.g., apple, orange, etc.) is acquired by a visual sensor, such as a laser scanner, provided on the weighing terminal 101.

It should be understood that when the number of one type of articles to be purchased is more than two, for example, a certain type of articles to be purchased includes 3 apples, considering that the attribute information of the same type of articles may be the same, in acquiring the image information or the contour information of the above articles, the image information or the contour information of one of the articles (e.g., 1 apple out of 3) may be acquired, which may reduce the information acquisition cost and improve the information acquisition efficiency. Of course, image information or outline information of all articles (e.g., 3 apples) may also be obtained.

It should be noted that the location of the visual sensor may be determined according to the product shape of the weighing terminal 101, for example, the visual sensor may be disposed on the side surface of the bearing surface and the visual direction of the visual sensor faces the bearing surface, or the visual sensor may be disposed on a bracket of the weighing terminal 101, the bracket is higher than the bearing surface, the visual direction of the visual sensor faces the bearing surface downwards, and so on.

Optionally, an odor sensor may be disposed on the weighing terminal 101, and the bearing surface of the weighing terminal 101 is located in a sensing range of the odor sensor, so that when an article is to be purchased on the bearing surface, the laser scanner may collect profile information of the article to be purchased on the bearing surface. Based on this, the manner of acquiring the smell information may include: the odor information of each type of item to be purchased (e.g., durian) is acquired by an odor sensor provided on the weighing terminal 101.

For the article identification information, the image information of the article may be selected as the article identification information, and the outline information or the odor information of the article may also be selected as the article identification information. Of course, the image information, the contour information and the odor information may be simultaneously selected as the article identification information, the image information is used as the main identification information, the contour information and the odor information are used as the auxiliary information, and the help server 102 determines the category related to the article according to the image information.

The weight parameter information refers to relevant information which can represent the weight of each type of article in at least one type of article. The weight parameter information will vary depending on the implementation of the load bearing surface. For example, if the carrying surface has a weighing system of an existing electronic scale, and the weight of each type of article can be measured, the weight parameter information may include a weight value of each type of article, such as 3.0kg (kilogram), 1.2kg, etc. For another example, the bearing surface includes a plurality of unit bearing surfaces, each unit bearing surface is used for bearing the same kind of articles, each unit bearing surface includes a gravity sensor, the gravity sensor is used for measuring the gravity applied to the articles on the corresponding unit bearing surface, where the gravity refers to the gravity generated by the gravity of the earth, and the weight parameter information may include: the gravity information reported by a plurality of gravity sensors corresponding to a plurality of unit bearing surfaces on the bearing surface and the position representation information of each type of to-be-purchased object in at least one type of to-be-purchased object on the bearing surface. The position representation information mainly reflects the positions of various articles to be purchased on the bearing surface, so that the various articles to be purchased are conveniently corresponding to the gravity information measured by the gravity sensors.

The server 102 is mainly responsible for receiving weight parameter information and article identification information of at least one type of articles to be purchased sent by the weighing terminal 101, calculating payment information of at least one type of articles to be purchased according to the weight parameter information and the article identification information of the at least one type of articles to be purchased and returning the payment information to the weighing terminal 101, so that intelligent weighing is achieved, weighing personnel (such as salesmen or consumers) are liberated from tedious weighing operation, weighing efficiency is improved, and the calculation capacity of the server 102 is utilized, so that the error probability caused by manual calculation of the payment information is favorably reduced. The payment information may be a total amount to be paid by the consumer, or may be shopping list information of the consumer, such as names of items of each category purchased, corresponding unit prices, corresponding payment amounts, and corresponding total payment amounts.

For example, as described above, when a user, i.e., a customer, has bought a type of article or commodity, such as an apple, in a fruit supermarket, the user places the bought apple on the bearing surface of the weighing terminal 101 and occupies a unit bearing surface of the bearing surface, and the weighing terminal 101 responds to the operation, on one hand, obtains gravity information of the apple, such as 0.05 newton, through gravity information reported by a gravity sensor corresponding to the unit bearing surface, and on the other hand, collects image information of the apple on the bearing unit through a visual sensor; then, the weighing terminal 101 transmits the weight information of the apple and the image information of the apple to the server 102. The server 102 receives the weight information of the apple, such as 0.05 newton, scale and image information of the apple, determines the weight information, such as 9.8 × 0.05 ═ 0.49kg, determines the category related to the article, such as the apple, through the image information, and determines the payment amount of the apple, i.e. payment information, such as 0.49 × 10 ═ 4.9 yuan, according to the unit price, such as 10 yuan/kg, of the apple. After that, the server 102 transmits the payment information 4.9 yuan to the weighing terminal 101. The weighing terminal 101 receives the total payment amount returned by the server 102 of 4.9 yuan.

Optionally, the weighing terminal 101 may also output payment information returned by the server 102 to the consumer. The output mode of the weighing terminal 101 is not limited in this embodiment. For example, the weighing terminal 101 may include a display unit, and the payment information returned by the server 102 is displayed through the display unit. Or, the weighing terminal 101 also has an audio component through which payment information returned by the server 102 can be played to the consumer in a voice manner. Thus, the consumer can complete the payment operation according to the payment information output by the weighing terminal 101, and successfully shop.

It should be noted that the article identification information is acquired by the triggering sensor after the gravity parameter information, especially the gravity information, is acquired, for example, the camera of the corresponding vision sensor is triggered to acquire, for example, when the weighing terminal 101 is only provided with one camera, the camera is directly triggered by the weighing terminal 101 to acquire image information of all articles, or image information of each type of articles is acquired through rotation of the camera, when the weighing terminal 101 is provided with a plurality of cameras, the weighing terminal 101 starts the camera corresponding to the unit bearing surface to acquire the image information according to the unit bearing surface corresponding to the gravity information.

In some examples, as shown in FIG. 1, the bearing surface 104 includes a plurality of unit bearing surfaces 105; each unit carrying surface 105 carries the same type of article and can detect the gravity of the article carried by it. Each unit bearing surface 105 includes a gravity sensor, and each unit bearing surface 105 detects the gravity of the article borne by the unit bearing surface through the corresponding gravity sensor.

For example, as described above, when a user places 3 apples on one unit supporting surface 105, the gravity sensor corresponding to the unit supporting surface 105 receives the pressure deformation information due to the stress on the unit supporting surface 105, so that the gravity sensor determines a changed analog signal according to the pressure deformation information, the analog signal is amplified by the amplifying circuit and output to the analog-to-digital converter, and the analog signal is converted into a digital signal convenient to process, where the digital signal is the gravity information of the 3 apples, and after the weighing terminal 101 receives the digital signal, the CPU calculates the gravity value to be 0.05 newton.

It should be understood that each unit carrying surface 105 is used to hold a type of item to be purchased, such as 5 apples, or 5 pears.

It should be noted that the bearing surface 104 is a flexible bearing surface, each unit bearing surface 105 may be stressed independently, rather than an iron plate in the current market, and only the total weight of one type of article may be collected, each unit bearing surface 105 includes a gravity sensor, the terminal device 101 may further determine, according to the unit bearing surface reporting the gravity information, an identifier of the unit bearing surface and a position of the stressed unit bearing surface 105 on the bearing surface, and may further set an identifier for the gravity sensor corresponding to the unit bearing surface 105, at this time, the identifiers of the unit bearing surfaces and the identifiers of the gravity sensors are in one-to-one correspondence or the same.

Based on the unit bearing surface and the gravity sensor, the weighing terminal 101 is specifically configured to: the gravity information reported by a plurality of unit bearing surfaces 105 in the plurality of unit bearing surfaces 105 is received, and the position representation information of at least one type of to-be-purchased object on the bearing surface 104 is obtained as the weight parameter information.

Wherein the location characterizing information may include: the identity of the unit bearing surface 105 (which may also be the identity of the gravity sensor corresponding to the unit bearing surface 105); alternatively, the position information of the unit bearing surface 105 on the bearing surface may be represented by a mark, for example, if the unit bearing surface 105 with the preset mark 001 is on the upper left corner of the bearing surface 104, the position of the unit bearing surface 105 with the preset mark 001 is the upper left corner.

For example, as described above, when a user purchases a plurality of types of articles to be purchased, such as 3 apples, 5 pears, and 4 cucumbers, the user places the plurality of types of articles to be purchased in one unit bearing surface 105 according to the types, the weighing terminal 101 receives the gravity information reported by the corresponding unit bearing surface 105, and calculates the gravity value of each type of article to be purchased, such as 3 apples: 0.05 newtons, 5 pears: 0.1 newton, 4 cucumbers: 0.06 newton. Meanwhile, the corresponding unit bearing surface 105 reports its own identification information, such as 001, in addition to the corresponding gravity information, or reports the position of the corresponding unit bearing surface 105: the upper left corner.

In some examples, server 102 is specifically configured to: determining the category and weight of each type of to-be-purchased article in at least one type of to-be-purchased article according to the weight parameter information and the article identification information of the at least one type of to-be-purchased article; determining the unit price of each type of the items to be purchased according to the type of each type of the items to be purchased; and calculating the payment information of at least one type of the items to be purchased according to the unit price and the weight of each type of the items to be purchased.

For example, as described above, the server 102 receives gravity information for a type of item to be purchased: 0.05 Newton and image information of a corresponding class of articles to be purchased, image recognition is carried out on the image information through an image recognition algorithm, the class related to the articles is determined to be an apple, and the unit price corresponding to the apple is determined by searching the storage data of the server 102: 10 yuan/kg, and then the weight of the apple is determined to be 0.05 × 9.8 ═ 0.49kg according to the corresponding gravity information of 0.05 newton, and the total price of the apple is determined to be 0.49 × 10 ═ 4.9 yuan.

It will be appreciated that weight information may be determined from the physical relationship of gravity to mass, in the above example, the user has purchased only apples and has not purchased other items.

It should be noted that, when the server 102 receives the gravity information and the image information of multiple categories of articles to be purchased (e.g., 3 apples, 5 pears, 4 cucumbers) sent by the weighing terminal 101, the weighing terminal 101 associates or correspondingly sends the image information with the gravity information when sending the information, for example, the apple image information corresponds to 0.05 newton, the pear image information corresponds to 0.1 newton, the cucumber image information corresponds to 0.06 newton, and each image information is a separate image and is not set together with other categories of articles, that is, 3 separate image information, then the three image information are respectively identified by the image algorithm to determine the category to which the corresponding article relates, and then determine the weight corresponding to each article, for example, 3 apples: 0.49kg, 5 pears: 0.98kg, 4 cucumbers: 0.588kg, determining the apple unit price to be 10 yuan/kg, the pear unit price to be 8 yuan/kg and the cucumber unit price to be 6 yuan/kg by looking up the stored data of the server 102, calculating the total price of apple + pear + cucumber to be 0.49 × 10+0.98 × 8+0.588 × 6 to be 4.9+7.84+3.528 to be 16.268 yuan.

It should be noted that, when the camera 103 collects the image information, after the weighing terminal 101 receives the gravity parameter information reported by the corresponding unit bearing surface 105, the corresponding camera 103 is triggered to acquire the image information, so that the weighing terminal 101 can associate or correspond the gravity parameter information with the image information.

In some examples, server 102 is specifically configured to: determining the article type of at least one type of articles to be purchased according to the article identification information of the at least one type of articles to be purchased; determining gravity information and position representation information corresponding to each article type from the gravity information of at least one type of articles to be purchased and the position representation information of at least one type of articles to be purchased on the bearing surface; and calculating the weight corresponding to each type of the articles to be purchased according to the gravity information and the position representation information corresponding to each type of the articles.

For example, as described above, when a user wants to purchase three categories of articles, such as 3 apples, 5 pears, and 4 cucumbers, the server 102 identifies the corresponding categories by using an image algorithm based on the independent image information of the three categories of articles: the apple, pear and cucumber weighing terminal 101, when receiving the gravity information sent by the unit bearing surface 105, also receives the identification information of the respective unit bearing surface 105, that is, the unit bearing surface 105 with the identification 001 reports 0.05 newton, then when starting the corresponding camera 103 (for example, starting the camera 103 No. 1 corresponding to the unit bearing surface 105 with the identification 001) to obtain the image information of the apple on the unit bearing surface 105, the unit bearing surface 105 with the identification 001, the gravity information of 0.05 newton and the image information of the apple are corresponded or associated and sent to the server 102, after the server 102 obtains the apple category according to the image information, according to the corresponding relationship between the unit bearing surface 105 with the identification 001 and the image information of the apple, the corresponding relationship between the unit bearing surface 105 with the identification 001 and the apple category is determined, and according to the corresponding relationship between the unit bearing surface 105 with the identification 001 and the gravity information of 0.05 newton, determining that the corresponding gravity information of the apple is 0.05 newton, determining that the weight of the apple is 0.05 × 9.8 ═ 0.49kg according to the gravity information, wherein the weight determination process of the pears and the cucumbers is the same as the weight determination process of the apples, and thus, the description is omitted.

In some examples, the item identification information of at least one type of item to be purchased includes attribute information of each type of item to be purchased, and the attribute information of each type of item to be purchased can uniquely identify an item class to which the type of item to be purchased belongs; the server 102 is specifically configured to: identifying attribute information of each type of to-be-purchased articles from article identification information of at least one type of to-be-purchased articles; and identifying the article category of each type of article to be purchased according to the attribute information of each type of article to be purchased and a preset classification model.

Wherein, the preset classification model can be, but is not limited to: random forest models, naive Bayes models, Logistic Regression (LR) models, and the like.

For example, as described above, when the article identification information received by the server 102 is, the article identification information may be sub-identification information of a plurality of categories of articles (i.e. identification information of each article), such as image information of an apple, image information of a pear, and image information of a cucumber, so that the server 102 is required to obtain the sub-identification information of each category of articles one by one from the article identification information, when the sub-identification information of each category of articles, such as the image information is independent, the image information corresponding to each category of articles is directly obtained from the received article identification information, and when the obtained image information is sequentially input into the classification model, the category description information output by the classification model is obtained, such as codes corresponding to the apple categories: 294, code 295 corresponding to the pear category, and the like. The determination process of the category description information of the pears and the cucumbers is the same as that of the category description information of the apples, and is not repeated herein.

It should be noted that there are a variety of categories, in addition to completely different species, e.g. apple versus cucumber, apple versus pear, there may be different categories within a category, e.g. Fuji apple, Acksu apple, etc. within the apple category. In some examples, the attribute information of each type of item to be purchased is image information, contour information, or smell information; the server 102 is specifically configured to: and inputting the image information, the contour information or the smell information of each type of article to be purchased into a preset classification model, and acquiring the type description information which is output by the preset classification model and corresponds to the image information, the contour information or the smell information of the article to be purchased.

For example, as described above, when the attribute information received by the server 102 is image information, odor information, or contour information, it is necessary that the server 102 first extract the attribute information, and when the extracted attribute information is image information and the image information is independent, each image information is sequentially input into the classification model to obtain the class description information output by the classification model, such as codes corresponding to apple classes: 294, code 295 corresponding to the pear category, and the like. When the extracted odor information is extracted, sequentially inputting each odor information into a classification model to obtain class description information output by the classification model, such as codes corresponding to apple classes: 294, code 295 corresponding to the pear category, and the like. When the extracted contour information is the contour information, sequentially inputting each contour information into the classification model to obtain the class description information output by the classification model, such as codes corresponding to apple classes: 294, code 295 corresponding to the pear category, and the like.

It should be noted that, when the attribute information is formed by combining more than two different types of information, for example, a combination of odor information and image information, a combination of contour information and odor information, a combination of image information, contour information, and odor information, and the like, the server 102 may respectively input each information, such as image information and odor information, into two classification models, respectively to obtain the output category description information of each classification model, at this time, the category description information determined by the image information may be preferentially used as the reference, and the category description information determined by the odor information may be used as the assistance, so as to determine the category of the article more accurately.

Before the image information, the odor information or the contour information is sent to the server 102, the weighing terminal 101 identifies the image information as m, the odor information as s, and the contour information as o according to the property of each piece of information, so that the server 102 determines the property of the information corresponding to each identifier, such as the image information, according to the preset identification record, and inputs the image information into the corresponding classification model.

In some examples, the server 102 is further configured to: acquiring attribute information of a plurality of sample articles and article types to which the sample articles belong in advance; and training a classification model for identifying the article category according to the attribute information of the sample articles and the article categories to which the sample articles belong.

Wherein, the collection mode can include: after the goods or commodities to be sold are transported to the selling goods shelf by the transporter, the image information of the goods or commodities is collected through the camera and reported to the weighing terminal 101, and the weighing terminal 101 sends the image information and the corresponding names to the server 102. Meanwhile, the name and unit price information of the article or commodity are manually input into the weighing terminal 101, and the weighing terminal 101 sends the name or unit price information to the server 102.

It should be noted that, during the acquisition process, an intelligent terminal, such as a PC terminal, may also be additionally deployed to receive the image information of the article acquired by the camera, receive the name of the article and the unit price information manually entered, and then send these information to the server 102 by the intelligent terminal.

The acquisition mode can further comprise: the server 102 obtains the above information, such as image information, name and unit price information of the article, directly from an article management platform, whose physical device may be a PC terminal, which may be deployed in a store of a supplier.

For example, according to the foregoing, the collected attribute information and the category corresponding to the attribute information are used as sample data for training a classification model, and a trained classification model, such as a random forest model, is obtained through the training model.

In some examples, the item identification information of at least one type of item to be purchased is an image containing each type of item to be purchased, and the server 102 is specifically configured to: the image is cut to obtain a sub-image corresponding to each type of item to be purchased.

For example, as described above, when a user wants to purchase multiple types of articles, such as 3 apples, 5 pears, and 4 cucumbers, and when the user sets the apples, the pears, and the cucumbers on different unit bearing surfaces 105, respectively, after the weighing terminal 101 acquires the gravity parameter information reported by each unit bearing surface 105, the camera 103 may be started to perform image acquisition on all articles on the bearing surface 104, where the image information is not independent, and is an image, and the image has sub-images of the articles in three categories, such as the apples, the pears, and the cucumbers. And sending the gravity parameter information and the image to the server 102, after receiving the image, the server 102 identifies the boundary line or edge of the image of the apple, the pear and the cucumber in the image according to an image identification algorithm, and cuts the image into independent sub-images of the apple, the pear and the cucumber.

In some examples, the server is specifically configured to: determining position representation information corresponding to the article type of each type of article to be purchased by combining the sub-images corresponding to each type of article to be purchased; and determining the gravity information corresponding to the type of the article to which each type of article to be purchased belongs according to the corresponding relation between the position representation information of each type of article to be purchased in at least one type of article to be purchased and the gravity information.

For example, as described above, after each individual piece of graphical information is identified according to the method set forth above, the identified category results are: apple, pear, cucumber. The server 102 is preset with images of the original bearing surface 104 (i.e., images without any articles placed on the bearing surface 104), compares one image with the image of the original bearing surface 104, determines a corresponding relationship between each independent image and the unit bearing surface 105 (i.e., which position of the bearing surface 104 the image is shot on), and then may also determine an identifier of the unit bearing surface 105, for example, the identifier of the unit bearing surface 105 at the upper left corner of the bearing surface 104 is 001, and determines the gravity information corresponding to each type of article according to the corresponding relationship between the position characterizing information and the gravity information according to the method set forth above; determining the weight corresponding to each type of articles according to the gravity information; thereby finally determining the total price of 3 apples, 5 pears and 4 cucumbers.

It should be appreciated that when the camera 103 captures images of the articles, images of the unit carrying surface 105 beneath each type of article are captured together.

The following describes the technical solution of the present application in detail with reference to several exemplary application scenarios:

scene 1: when the practical application scenario is a comprehensive supermarket, the bearing terminal 101 can be arranged in the comprehensive supermarket, particularly in a selling and weighing area of vegetables and fruits, and a user can purchase meat, vegetables and fruits, snacks, articles for daily use and the like in the comprehensive supermarket. When a user wants to purchase vegetables and fruits and takes the vegetables and the fruits to a weighing terminal 101 in a selling weighing area of the vegetables and the fruits in a comprehensive supermarket for weighing, the user can place the vegetables and the fruits to be purchased on different unit bearing surfaces 105 on a bearing surface 104 of the weighing terminal 101 according to categories respectively, the weighing terminal 101 receives gravity information reported by corresponding unit bearing surfaces 105, and gravity values of articles to be purchased in various categories are obtained through calculation, for example, 3 apples: 0.05 newtons, 5 pears: 0.1 newton, 4 cucumbers: 0.06 newton. Meanwhile, the corresponding unit bearing surface 105 reports its own identification information, such as 001, in addition to the corresponding gravity information, or reports the position of the corresponding unit bearing surface 105 on the bearing surface 104: the upper left corner (meaning located at the upper left corner of the bearing surface 104), the middle (meaning located at the middle of the bearing surface 104), the right side (meaning located at the right side region of the bearing surface 104), and so on. Meanwhile, triggering the corresponding camera 103 to obtain the image information of each type of article, sending the image information of each type of article and the gravity parameter information to the server 102, identifying and determining the type of the article corresponding to the server 102 through an image algorithm, and obtaining the weight corresponding to each type of article according to the association relationship or the correspondence relationship as the image information and the gravity information are associated or correspondingly sent, for example, 3 apples: 0.49kg, 5 pears: 0.98kg, 4 cucumbers: 0.588kg, and when the unit price of the apples is 10 yuan/kg, the unit price of the pears is 8 yuan/kg, and the unit price of the cucumbers is 6 yuan/kg, the total price is calculated to be 0.49 yuan 10+0.98 yuan 8+0.588 yuan 6 + 4.9+7.84+3.528 yuan 16.268. After the vegetables and fruits are weighed, a user can take the vegetables and fruits for pricing, and can take other articles to be purchased, such as articles for daily use, snacks and the like or commodities to a final cash register end of the comprehensive supermarket for final payment.

Scene 2: when the actual application scene is a vegetable and fruit supermarket, the weighing terminal 101 may be disposed in the vegetable and fruit supermarket or at the door of the vegetable and fruit supermarket, and a user may purchase vegetables and fruits in the vegetable and fruit supermarket. When a user wants to purchase vegetables and fruits and take the vegetables and the fruits to a weighing terminal 101 of a comprehensive supermarket for weighing, the user can respectively place the vegetables and the fruits to be purchased on different unit bearing surfaces 105 on a bearing surface 104 of the weighing terminal 101 according to categories, the weighing terminal 101 receives gravity information reported by corresponding unit bearing surfaces 105, and the gravity value of each category of articles to be purchased, such as 3 apples, is obtained through calculation: 0.05 newtons, 5 pears: 0.1 newton, 4 cucumbers: 0.06 newton. Meanwhile, the corresponding unit bearing surface 105 reports its own identification information, such as 001, in addition to the corresponding gravity information, or reports the position of the corresponding unit bearing surface 105: the upper left corner. Simultaneously triggering the corresponding camera 103 to acquire image information of each type of article, sending the image information of each type of article and the gravity parameter information to the server 102, identifying and determining the type of the article corresponding to the server 102 through an image algorithm, and obtaining the weight corresponding to each type of article according to the association relationship or the correspondence relationship as the image information and the gravity information are associated or correspondingly sent, for example, 3 apples: 0.49kg, 5 pears: 0.98kg, 4 cucumbers: 0.588kg, and when the unit price of the apples is 10 yuan/kg, the unit price of the pears is 8 yuan/kg, and the unit price of the cucumbers is 6 yuan/kg, the total price is calculated to be 0.49 yuan 10+0.98 yuan 8+0.588 yuan 6 + 4.9+7.84+3.528 yuan 16.268. After the user weighs vegetables and fruits, the user can take the total price of the vegetables and the fruits, and the user can settle accounts according to the total price at the moment and finish shopping quickly. According to the technical scheme, the time for a user to purchase vegetables and fruits in a vegetable and fruit supermarket can be reduced, the calculation error of human factors can be avoided, and good shopping experience is brought to the user.

When the actual application scene is a vegetable market, the weighing terminal 101 may be disposed in an entity booth of the vegetable market, the entity booth may be indoor or outdoor, and the user may purchase vegetables and fruits in the vegetable market. The process of pricing vegetables and fruits to be purchased by the user in the vegetable market is the same as the process of pricing vegetables and fruits to be purchased in the vegetable and fruit supermarket, and the detailed description is omitted here.

Fig. 2 is a flowchart illustrating a method for processing item information according to another exemplary embodiment of the present application. The method 200 provided by the embodiment of the application is executed by the weighing terminal 101, and the method 200 includes the following steps:

step 201: and responding to the article placing operation on the bearing surface of the weighing terminal to obtain the weight parameter information and the article identification information of at least one type of article to be purchased on the bearing surface.

Step 202: the weight parameter information and the identification information of the at least one type of the to-be-purchased items are sent to the server 102, so that the server can calculate the payment information of the at least one type of the to-be-purchased items.

Step 203: and receiving payment information of at least one type of goods to be purchased sent by the server and outputting the payment information.

In some examples, obtaining item identification information for at least one type of item to be purchased on the carrying surface includes: collecting attribute information of each type of articles in at least one type of articles to be purchased as article identification information; the attribute information of each type of article can uniquely identify the category to which the article belongs.

In some examples, collecting attribute information of each of at least one type of item to be purchased includes at least one of:

acquiring an image of each type of to-be-purchased article in at least one type of to-be-purchased article by using a visual sensor;

the method comprises the steps of acquiring the outline of each type of to-be-purchased article in at least one type of to-be-purchased article by using a visual sensor;

and collecting the odor of each type of the to-be-purchased articles in at least one type of to-be-purchased articles by using an odor sensor.

In some examples, the bearing surface comprises a plurality of unit bearing surfaces; each unit bearing surface bears the same type of articles and can detect the gravity of the articles borne by the unit bearing surfaces.

In some examples, obtaining weight parameter information of at least one type of item to be purchased on the bearing surface includes: and receiving the gravity information reported by a plurality of unit bearing surfaces in the plurality of unit bearing surfaces, and acquiring the position representation information of at least one type of to-be-purchased articles on the bearing surfaces as weight parameter information.

In some examples, obtaining location characterizing information of at least one type of item to be purchased on a bearing surface includes: acquiring identifiers of a plurality of unit bearing surfaces reporting gravity information; or acquiring the position information of the bearing surfaces of the units reporting the gravity information.

In some examples, outputting the payment information includes: and displaying the payment information or outputting the payment information in a voice mode.

For example, according to the foregoing, after the weighing terminal receives the payment information returned by the server, the payment information may be displayed on a display screen of the weighing terminal, or played in a voice form through an audio component of the weighing terminal.

It should be noted that the specific implementation of the method 200 provided in the foregoing embodiments has been described in detail, and thus, is not described herein again.

Fig. 3 is a flowchart illustrating a method for processing item information according to another exemplary embodiment of the present application. The method 300 provided by the embodiment of the present application is executed by a server, and the method 300 includes the following steps:

step 301: and receiving weight parameter information and article identification information of at least one type of article to be purchased, which are sent by the weighing terminal, wherein the at least one type of article to be purchased is positioned on the bearing surface of the weighing terminal.

Step 302: and calculating the payment information of the at least one type of the to-be-purchased articles according to the weight parameter information and the article identification information of the at least one type of the to-be-purchased articles.

Step 303: and returning the payment information of at least one type of articles to be purchased to the weighing terminal 101 so that the weighing terminal can output the payment information.

In some examples, the category and the weight of each type of the at least one type of the items to be purchased are determined according to the weight parameter information and the item identification information of the at least one type of the items to be purchased; determining the unit price of each type of the items to be purchased according to the type of each type of the items to be purchased; and calculating the payment information of at least one type of the items to be purchased according to the unit price and the weight of each type of the items to be purchased.

In some examples, the weight parameter information of at least one type of item to be purchased includes: the gravity information of at least one type of articles to be purchased and the position representation information of at least one type of articles to be purchased on the bearing surface; the method for determining the category and the weight of each type of to-be-purchased article in at least one type of to-be-purchased article according to the weight parameter information and the article identification information of the at least one type of to-be-purchased article comprises the following steps: determining the article type of at least one type of articles to be purchased according to the article identification information of the at least one type of articles to be purchased; determining gravity information and position representation information corresponding to each article type from the gravity information of at least one type of articles to be purchased and the position representation information of at least one type of articles to be purchased on the bearing surface; and calculating the weight corresponding to each type of the articles to be purchased according to the gravity information and the position representation information corresponding to each type of the articles.

In some examples, the item identification information of at least one type of item to be purchased includes attribute information of each type of item to be purchased, and the attribute information of each type of item to be purchased can uniquely identify an item class to which the type of item to be purchased belongs; the method for determining the article type related to at least one type of article to be purchased according to the article identification information of at least one type of article to be purchased comprises the following steps: identifying attribute information of each type of to-be-purchased articles from article identification information of at least one type of to-be-purchased articles; and identifying the article category of each type of article to be purchased according to the attribute information of each type of article to be purchased and a preset classification model.

In some examples, the attribute information of each type of item to be purchased is image information, contour information, or smell information; the method includes the following steps of identifying the category of each type of article to be purchased according to the attribute information of each type of article to be purchased and a preset classification model, wherein the method includes the following steps: and inputting the image information, the contour information or the smell information of each type of article to be purchased into a preset classification model, and acquiring the type description information which is output by the preset classification model and corresponds to the image information, the contour information or the smell information of the article to be purchased.

In some examples, the method 300 further comprises: acquiring attribute information of a plurality of sample articles and article types to which the sample articles belong in advance; and training a classification model for identifying the article category according to the attribute information of the sample articles and the article categories to which the sample articles belong.

In some examples, if the item identification information of at least one type of item to be purchased is an image containing each type of item to be purchased, then identifying the image information of each type of item to be purchased from the item identification information of at least one type of item to be purchased includes: the image is cut to obtain a sub-image corresponding to each type of item to be purchased.

In some examples, determining the gravity information and the position representation information corresponding to each item category from the gravity information of at least one type of items to be purchased and the position representation information of at least one type of items to be purchased on the bearing surface comprises: determining position representation information corresponding to the article type of each type of article to be purchased by combining the sub-images corresponding to each type of article to be purchased; and determining the gravity information corresponding to the type of the article to which each type of article to be purchased belongs according to the corresponding relation between the position representation information of each type of article to be purchased in at least one type of article to be purchased and the gravity information.

It should be noted that the specific implementation of the method 300 provided in the foregoing embodiments has been described in detail, and thus, the detailed description is omitted here.

Fig. 4 is a schematic structural framework diagram of an article information processing apparatus according to another exemplary embodiment of the present application. The device 400 can be applied to a weighing terminal, and the device 400 includes an obtaining module 401, a sending module 402 and a receiving module 403, and the functions of the modules are described in detail below:

the obtaining module 401 is configured to respond to an article placing operation on a bearing surface of the weighing terminal, and obtain weight parameter information and article identification information of at least one type of article to be purchased on the bearing surface.

A sending module 402, configured to send the weight parameter information and the item identification information of the at least one type of item to be purchased to the server, so that the server calculates payment information of the at least one type of item to be purchased.

A receiving module 403, configured to receive payment information of at least one type of item to be purchased sent by the server and output the payment information.

Wherein, the article identification information of at least one kind of article to be purchased on the obtaining bearing surface includes: collecting attribute information of each type of articles in at least one type of articles to be purchased as article identification information; the attribute information of each type of article can uniquely identify the category to which the article belongs.

The method for acquiring the attribute information of each type of article in at least one type of article to be purchased comprises at least one of the following operations:

In some examples, the obtaining module 401 is specifically configured to: and receiving the gravity information reported by a plurality of unit bearing surfaces in the plurality of unit bearing surfaces, and acquiring the position representation information of at least one type of to-be-purchased articles on the bearing surfaces as weight parameter information.

In some examples, the obtaining module 401 is specifically configured to: acquiring identifiers of a plurality of unit bearing surfaces reporting gravity information; or acquiring the position information of the bearing surfaces of the units reporting the gravity information.

In some examples, the manner of outputting payment information includes: and displaying the payment information or outputting the payment information in a voice mode.

Fig. 5 is a schematic structural framework diagram of a device for processing further item information according to a further exemplary embodiment of the present application. The apparatus 500 may be applied to a server, and the apparatus 500 includes: a receiving module 501, a calculating module 502 and a sending module 503, the functions of which are described in detail below:

the receiving module 501 is configured to receive weight parameter information and article identification information of at least one type of article to be purchased, which are sent by the weighing terminal, where the at least one type of article to be purchased is located on a bearing surface of the weighing terminal.

The calculating module 502 is configured to calculate payment information of at least one type of to-be-purchased items according to the weight parameter information and the item identification information of the at least one type of to-be-purchased items.

The sending module 503 is configured to return payment information of at least one type of article to be purchased to the weighing terminal, so that the weighing terminal outputs the payment information.

In some examples, the calculation module 502 includes: the first determining unit is used for determining the category and the weight of each type of to-be-purchased article in at least one type of to-be-purchased article according to the weight parameter information and the article identification information of the at least one type of to-be-purchased article; the second determining unit is used for determining the unit price of each type of the to-be-purchased articles according to the category of each type of the to-be-purchased articles; and the calculating unit is used for calculating the payment information of at least one type of the items to be purchased according to the unit price and the weight of each type of the items to be purchased.

In some examples, the weight parameter information includes: the gravity information of at least one type of articles to be purchased and the position representation information of at least one type of articles to be purchased on the bearing surface;

the first determining unit is specifically configured to: determining the article type of at least one type of articles to be purchased according to the article identification information of the at least one type of articles to be purchased; determining gravity information and position representation information corresponding to each article type from the gravity information of at least one type of articles to be purchased and the position representation information of at least one type of articles to be purchased on the bearing surface; and calculating the weight corresponding to each type of the articles to be purchased according to the gravity information and the position representation information corresponding to each type of the articles.

In some examples, the item identification information of at least one type of item to be purchased includes attribute information of each type of item to be purchased, and the attribute information of each type of item to be purchased can uniquely identify an item class to which the type of item to be purchased belongs; the first determining unit is specifically configured to: determining the item category related to at least one type of items to be purchased according to the item identification information of the at least one type of items to be purchased, wherein the method comprises the following steps: identifying attribute information of each type of to-be-purchased articles from article identification information of at least one type of to-be-purchased articles; and identifying the article category of each type of article to be purchased according to the attribute information of each type of article to be purchased and a preset classification model.

In some examples, the attribute information of each type of item to be purchased is image information, contour information, or smell information; the first determining unit is specifically configured to: and inputting the image information, the contour information or the smell information of each type of article to be purchased into a preset classification model, and acquiring the type description information which is output by the preset classification model and corresponds to the image information, the contour information or the smell information of the article to be purchased.

In some examples, the apparatus 500 further comprises: the acquisition module is used for acquiring attribute information of a plurality of sample articles in advance and article categories to which the plurality of sample articles belong; and the training module is used for training a classification model for identifying the article types according to the attribute information of the sample articles and the article types to which the sample articles belong.

In some examples, the item identification information of at least one type of item to be purchased is an image containing each type of item to be purchased, and the first determining unit is specifically configured to: the image is cut to obtain a sub-image corresponding to each type of item to be purchased.

In some examples, the first determining unit is specifically configured to: determining position representation information corresponding to the article type of each type of article to be purchased by combining the sub-images corresponding to each type of article to be purchased; and determining the gravity information corresponding to the type of the article to which each type of article to be purchased belongs according to the corresponding relation between the position representation information of each type of article to be purchased in at least one type of article to be purchased and the gravity information.

Having described the internal functions and structure of the processing device 400 shown in FIG. 4, in one possible design, the structure of the processing device 400 shown in FIG. 4 may be implemented as a weighing terminal 600, as shown in FIG. 6, the weighing terminal 600 may include: a processor 601, an information acquisition unit 602, a communication component 603 and a bearing surface;

the bearing surface is used for acquiring weight parameter information of at least one type of articles to be purchased on the bearing surface;

an information acquisition unit 602, configured to obtain item identification information of at least one type of item to be purchased

The processor 601 is configured to send the weight parameter information and the item identification information of the at least one type of item to be purchased to the server through the communication component 603, so that the server calculates payment information of the at least one type of item to be purchased, receives the payment information of the at least one type of item to be purchased sent by the server, and outputs the payment information.

In some examples, the processor 601 is specifically configured to: collecting attribute information of each type of articles in at least one type of articles to be purchased as article identification information; the attribute information of each type of article can uniquely identify the category to which the article belongs.

Wherein, the bearing surface includes a plurality of unit bearing surfaces; each unit bearing surface bears the same type of articles and can detect the gravity of the articles borne by the unit bearing surfaces.

In some examples, the processor 601 is specifically configured to: and receiving the gravity information reported by a plurality of unit bearing surfaces in the plurality of unit bearing surfaces, and acquiring the position representation information of at least one type of to-be-purchased articles on the bearing surfaces as weight parameter information.

In some examples, the processor 601 is specifically configured to: acquiring identifiers of a plurality of unit bearing surfaces reporting gravity information; or acquiring the position information of the bearing surfaces of the units reporting the gravity information.

Wherein, the mode of output payment information includes: and displaying the payment information or outputting the payment information in a voice mode.

In some examples, the information acquisition unit 602 includes: a visual sensor and/or an odor sensor.

In some examples, the weighing terminal 600 further includes: a display screen 604 and/or an audio component 605;

the display screen is used for displaying payment information;

and the audio component is used for outputting the payment information in a voice mode.

Further, as shown in fig. 6, the weighing terminal 600 further includes: power supply component 606, and the like. Only some of the components are shown schematically in fig. 6, and the weighing terminal 600 is not meant to include only the components shown in fig. 6.

In the embodiment of the application, the weighing terminal can automatically acquire the weight parameter information and the article identification information of at least one type of article to be purchased and provide the weight parameter information and the article identification information for the server, so that the service personnel in the entity store are not required to weigh the articles in a manual mode, the labor cost is reduced, and meanwhile, the weighing error caused by human factors in the weighing process is avoided. In addition, embodiments of the present invention provide a computer storage medium, and the computer program, when executed by one or more processors, causes the one or more processors to implement the steps of the method for processing the article information in the method embodiment of fig. 2.

Having described the internal functions and structure of the processing device 500 shown in fig. 5, in one possible design, the structure of the processing device 500 shown in fig. 5 may be implemented as a server 700, as shown in fig. 7, and the server 700 may include: a processor 701, a memory 702, and a communications component 703;

a memory 702 for storing a computer program;

a processor 701 for executing a computer program for:

receiving weight parameter information and article identification information of at least one type of articles to be purchased, which are sent by a weighing terminal, wherein the at least one type of articles to be purchased are positioned on a bearing surface of the weighing terminal; calculating payment information of at least one type of articles to be purchased according to the weight parameter information and the article identification information of at least one type of articles to be purchased; and returns payment information to the weighing terminal through the communication component 703.

In some examples, the processor 701 is specifically configured to: determining the category and weight of each type of to-be-purchased article in at least one type of to-be-purchased article according to the weight parameter information and the article identification information of the at least one type of to-be-purchased article; determining the unit price of each type of the items to be purchased according to the type of each type of the items to be purchased; and calculating the payment information of at least one type of the items to be purchased according to the unit price and the weight of each type of the items to be purchased.

In some examples, the weight parameter information of at least one type of item to be purchased includes: the gravity information of at least one type of articles to be purchased and the position representation information of at least one type of articles to be purchased on the bearing surface; the processor 701 is specifically configured to: determining the article type of at least one type of articles to be purchased according to the article identification information of the at least one type of articles to be purchased; determining gravity information and position representation information corresponding to each article type from the gravity information of at least one type of articles to be purchased and the position representation information of at least one type of articles to be purchased on the bearing surface; and calculating the weight corresponding to each type of the articles to be purchased according to the gravity information and the position representation information corresponding to each type of the articles.

In some examples, the item identification information of at least one type of item to be purchased includes attribute information of each type of item to be purchased, and the attribute information of each type of item to be purchased can uniquely identify an item class to which the type of item to be purchased belongs;

the processor 701 is specifically configured to: identifying attribute information of each type of to-be-purchased articles from article identification information of at least one type of to-be-purchased articles; and identifying the article category of each type of article to be purchased according to the attribute information of each type of article to be purchased and a preset classification model.

In some examples, the attribute information of each type of item to be purchased is image information, contour information, or smell information; the processor 701 is specifically configured to: and inputting the image information, the contour information or the smell information of each type of article to be purchased into a preset classification model, and acquiring the type description information which is output by the preset classification model and corresponds to the image information, the contour information or the smell information of the article to be purchased.

In some examples, processor 701 is further configured to: acquiring attribute information of a plurality of sample articles and article types to which the sample articles belong in advance; and training a classification model for identifying the article category according to the attribute information of the sample articles and the article categories to which the sample articles belong.

In some examples, the processor 701 is specifically configured to: the image is cut to obtain a sub-image corresponding to each type of item to be purchased.

In some examples, the processor 701 is specifically configured to: determining position representation information corresponding to the article type of each type of article to be purchased by combining the sub-images corresponding to each type of article to be purchased; and determining the gravity information corresponding to the type of the article to which each type of article to be purchased belongs according to the corresponding relation between the position representation information of each type of article to be purchased in at least one type of article to be purchased and the gravity information.

In the embodiment of the application, the server determines the payment information by acquiring the weight parameter information and the article identification information of at least one type of article to be purchased, which are provided by the weighing terminal, and returns the payment information to the weighing terminal, so that the payment information of a user when purchasing the article can be quickly calculated, calculation errors caused by artificial factors are avoided, meanwhile, the labor cost is reduced, the time for the user to wait for calculation of the payment information is saved, and good shopping experience is brought to the user.

In addition, embodiments of the present invention provide a computer storage medium, and the computer program, when executed by one or more processors, causes the one or more processors to implement the steps of the method for processing the article information in the method embodiment of fig. 3.

Some embodiments of the present application also provide an apparatus 800, as shown in fig. 8, the apparatus 800 may include: bearing surface 801, IO component 802, and display component 803.

The carrying surface 801 includes a plurality of sub-carrying surfaces adapted to carry a type of article and detect the quality of the article carried by the sub-carrying surfaces.

The IO component 802 is adapted to communicate with a server, and transmit and receive data, wherein the transmitted data includes the quality of the article and the position representation information on the bearing surface.

The display component 803 is suitable for displaying the quality of the article and the position representation information on the bearing surface.

The quality of the article is a description of the article, and the value of the article can be embodied to a certain extent, for example, the value can be information such as the size, color, quantity, weight or gravity of the article.

Alternatively, if the mass of the item is the weight of the item, the weight may be determined by the device 800 through the weight of the carried item, and then the mass may be sent to the server through the IO component 802. Of course, the mass of the item may also be the weight of the item, which may be captured by apparatus 800 via a gravity sensor on bearing surface 801. For how to determine the mass of the article based on gravity, reference may be made to the related description in the foregoing embodiments, and details are not repeated here.

In some examples, the IO component 802 is adapted to communicate with a server, send and receive data, wherein the received data includes price information; the display component 803 is further adapted to display the price information received by the IO component 802.

The price information may include the total price of various articles on the bearing surface, and may also include price information corresponding to the articles borne by each sub-bearing surface. The price information can be calculated by the server according to the quality of the item sent by the IO component 802 of the device 800 and the position representation information on the bearing surface. If the mass of the article is the gravity of the article, the server may refer to the foregoing embodiment for a description of calculating the price (the price may be a specific implementation of the payment information in the foregoing embodiment) according to the gravity of the article and the position representation information on the bearing surface, and details are not described here again. In addition, when the quality of the item is other information such as the number, size, or weight of the item, the server may calculate the corresponding price using a process similar to the aforementioned scheme.

In some instances, the apparatus 800 further comprises: the information acquisition component 804 is adapted to acquire article identification information of one or more articles on a plurality of sub-bearing surfaces on the bearing surface, wherein the article identification information corresponds to the position representation information; the IO component 802 is adapted to communicate with a server, transmit and receive data, wherein the transmitted data further includes item identification information; display component 803 is also adapted to display item identification information. The article identification information is sent to the server, so that the server can conveniently determine the corresponding relation among the article identification information, the position representation information and the quality of the article, and further calculate the price. For example, the server may determine a relationship between the quality of the item and the item category according to a correspondence between the item identification information and the location characterization information, and calculate the final price based on the unit price information of the item category and the quality of the item. The unit price information may be the folded unit price information or the original unit price information.

In some examples, the apparatus 800, further comprises: an identity recognition component 805 adapted to collect user identity information via the information collection component 804; the IO component 802 is adapted to communicate with a server, send and receive data, wherein the transmitted data further comprises the user identity information. Optionally, the user may register with the server in advance to obtain the user identity information. The server can provide different promotion activities or additional services and the like for different users according to the user identities by combining the user identity information so as to improve the service experience of different users and further improve the service quality. For example, a gold user may obtain an 8-fold advantage, a bronze user may enjoy a 9-fold advantage, and so on. As another example, a gold user may enjoy an offer for all specified items, a bronze user may enjoy an offer for only some specified items, such as item B, and so on. For another example, the server may provide an information push service to the VIP user, and the push information may include a consumption reminder, a benefit notification, an account balance reminder, and the like; the information push service is not open to ordinary users.

The user identity information refers to attribute information of the user identity, such as a user ID, a user nickname, a user gender, a telephone number, an email, a registered account, and the like.

In addition, embodiments of the present invention provide a computer storage medium, and the computer program, when executed by one or more processors, causes the one or more processors to implement the operations of the apparatus 800 described above.

In still other embodiments of the present application, there is provided an apparatus 900, as shown in fig. 9, the apparatus 900 may include: a bearing surface 901, an information collection component 902, a calculation component 903, and a display component 904.

The bearing surface 901, wherein the bearing surface 901 includes a plurality of sub bearing surfaces, and the sub bearing surfaces are suitable for bearing articles with the same price and detecting the weight of the articles borne by the sub bearing surfaces and the position representation information on the bearing surface 901.

The information collecting component 902 is adapted to collect article identification information of one or more articles on the plurality of sub-bearing surfaces on the bearing surface 901, where the article identification information corresponds to the position characterizing information.

And the calculating component 903 is adapted to obtain price information of the article according to the article identification information, and calculate a price according to the quality corresponding to the position representation information of the article and the price information of the article.

And the display component 904 is suitable for displaying the position representation information, the article identification information and the weight of the article on the sub-bearing surface, and the calculated price.

The items with the same price may refer to items with the same price after the discount, items with the same original price before the discount, or items with the same original price without participation in the discount and the same price after participation in the discount. For example, when not participating in a premium event, the apple price and banana price are both 7 dollars per kilogram, and the apple and banana are items at the same price. When the preferential event is not participated in, the price of the apple is 10 jin per jin, the price of the banana is 7 jin per jin, when the preferential event is participated in, the price of the apple and the price of the banana are 6 jin per jin, and then the apple and the banana are the same in price when the preferential event is participated in. When the preferential event is not participated in, the price of the apple and the price of the banana are both 7 jin and jin, when the preferential event is participated in, the price of the apple is 5 jin and jin, and the price of the banana is 4 jin and jin, so when the preferential event is not participated in, the apple and the banana are the same in price.

In addition, as can be seen from the above examples, the items with the same price may be different types of items. Of course, the items with the same price can be different types of items.

Alternatively, the weight of the item may be determined by the device 900 by the weight of the item carried. In this alternative embodiment, a gravity sensor is disposed on the bearing surface and is responsible for collecting the gravity of the articles supported on the sub-bearing surface, so that the apparatus 900 can calculate the weight of the corresponding articles.

The device 900 of the embodiment can be realized as an intelligent scale, an electronic scale and the like, the device 900 can automatically and intelligently calculate the weight, the price and other information of the articles on the bearing surface, and can display the article identification information, the weight, the price and other related information to the user, so that the user can complete the subsequent payment operation after checking, the labor of related personnel needing weighing and pricing can be favorably reduced, the efficiency is improved, and the problem of easy error during manual pricing is solved. In some examples, the apparatus 900 further comprises: IO component 905, adapted to communicate with the server, and receive and transmit data, wherein the transmitted data includes the item identification information and the weight of the item.

In some examples, the apparatus 900 further comprises: an identity recognition component 906 adapted to collect user identity information via the information collection component 902; IO component 905 is adapted to communicate with a server, transceiving data, wherein the transmitted data further comprises user identity information.

The user identity information refers to attribute information of the user identity, such as a user ID, a user nickname, a user gender, and the like.

In some examples, the IO component 905 is adapted to communicate with a server, and receive and transmit data, where the server is adapted to verify user identity information, and the received data includes preference information corresponding to the user identity information;

the calculating component 903 is further adapted to calculate a promotional price based on the offer information;

the display component 904 is further adapted to display the offer information.

The preferential information is data used for reducing price information, for example, the preferential rate of purchasing articles is determined according to the member grade corresponding to the user identity information, and the discount is 8.5; or, a coupon corresponding to the user identity information, full 50 minus 5 yuan, and the like. And calculating the preferential price of the item, namely the sales promotion price according to the preferential information.

In the above embodiment, the device 900 may interact with the server, and send the item identification information, the weight of the item, and the user identity information to the server; the server may determine, in conjunction with information such as user identity information, items that the user needs to purchase (where the items that the user needs to purchase may be determined by the item identification information), weight of the items, and the like, benefit information that the user may enjoy, and return the benefit information to the device 900, such that the device 900 may calculate a promotional price in conjunction with the benefit information that the user may enjoy.

For example, the server may determine the identity level of the user in combination with the user identity information, for example, the VIP user may determine the items that the user needs to purchase through the item identification information, assuming that the VIP user is imported and the purchase weight is 5kg, and then may determine that the VIP user may enjoy the 8-fold advantage of the imported goods when the purchase weight is greater than 3kg, and return the 8-fold advantage information or the folded price information as the advantage information to the device 900.

Additionally, embodiments of the present invention provide a computer storage medium, which when executed by one or more processors, causes the one or more processors to implement the operations that the apparatus 900 can implement.

In addition, in some of the flows described in the above embodiments and the drawings, a plurality of operations are included in a specific order, but it should be clearly understood that the operations may be executed out of the order presented herein or in parallel, and the sequence numbers of the operations, such as 201, 202, 203, etc., are merely used for distinguishing different operations, and the sequence numbers themselves do not represent any execution order. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by adding a necessary general hardware platform, and of course, can also be implemented by a combination of hardware and software. With this understanding in mind, the above-described aspects and portions of the present technology which contribute substantially or in part to the prior art may be embodied in the form of a computer program product, which may be embodied on one or more computer-usable storage media having computer-usable program code embodied therein, including without limitation disk storage, CD-ROM, optical storage, and the like.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. 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 multimedia data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable multimedia 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 multimedia 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 multimedia 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). 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, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. A processing method of article information is suitable for a weighing terminal, and is characterized by comprising the following steps:

responding to an article placing operation on a bearing surface of the weighing terminal, and acquiring weight parameter information and article identification information of at least one type of article to be purchased on the bearing surface;

sending the weight parameter information and the article identification information of the at least one type of articles to be purchased to a server so that the server can calculate the payment information of the at least one type of articles to be purchased;

and receiving the payment information of the at least one type of the to-be-purchased articles sent by the server and outputting the payment information.

2. The method of claim 1 wherein said obtaining item identification information for at least one type of item to be purchased on said carrying surface comprises:

collecting attribute information of each type of articles in the at least one type of articles to be purchased as the article identification information; the attribute information of each type of article can uniquely identify the category to which the article belongs.

3. The method according to claim 2, wherein the collecting attribute information of each of the at least one category of items to be purchased comprises at least one of:

4. The method of any of claims 1-3 wherein the carrying surface comprises a plurality of unit carrying surfaces, each unit carrying surface carrying the same type of article and being capable of detecting the weight of the article carried thereby.

5. The method of claim 4, wherein said obtaining weight parameter information of at least one type of item to be purchased on the carrying surface comprises:

and receiving the gravity information reported by a plurality of unit bearing surfaces in the plurality of unit bearing surfaces, and acquiring the position representation information of the at least one type of to-be-purchased object on the bearing surfaces as the weight parameter information.

6. The method of claim 5 wherein obtaining the location characterizing information of the at least one type of item to be purchased on the bearing surface comprises:

acquiring identifiers of a plurality of unit bearing surfaces reporting gravity information; or

And acquiring the position information of a plurality of unit bearing surfaces reporting the gravity information on the bearing surfaces.

7. The method of any of claims 1-3, wherein the outputting the payment information comprises: and displaying the payment information or outputting the payment information in a voice mode.

8. A method for processing article information is suitable for a server, and is characterized by comprising the following steps:

receiving weight parameter information and article identification information of at least one type of articles to be purchased, which are sent by a weighing terminal, wherein the at least one type of articles to be purchased are positioned on a bearing surface of the weighing terminal;

calculating payment information of the at least one type of articles to be purchased according to the weight parameter information and the article identification information of the at least one type of articles to be purchased;

and returning the payment information of the at least one type of the articles to be purchased to the weighing terminal so that the weighing terminal can output the payment information.

9. The method according to claim 8, wherein the calculating the payment information of the at least one type of the items to be purchased according to the weight parameter information and the item identification information of the at least one type of the items to be purchased comprises:

determining the category and the weight of each type of to-be-purchased article in the at least one type of to-be-purchased article according to the weight parameter information and the article identification information of the at least one type of to-be-purchased article;

determining the unit price of each type of the items to be purchased according to the type of each type of the items to be purchased;

and calculating the payment information of the at least one type of the items to be purchased according to the unit price and the weight of each type of the items to be purchased.

10. The method of claim 9, wherein the weight parameter information of the at least one type of item to be purchased comprises: gravity information of at least one type of articles to be purchased and position representation information of at least one type of articles to be purchased on the bearing surface;

wherein, the determining the category and the weight of each type of the to-be-purchased articles in the at least one type of the to-be-purchased articles according to the weight parameter information and the article identification information of the at least one type of the to-be-purchased articles comprises:

determining the category of the at least one type of articles to be purchased according to the article identification information of the at least one type of articles to be purchased;

determining gravity information and position representation information corresponding to each article type from the gravity information of the at least one type of articles to be purchased and the position representation information of the at least one type of articles to be purchased on the bearing surface;

and calculating the weight corresponding to each type of the articles to be purchased according to the gravity information and the position representation information corresponding to each type of the articles.

11. The method according to claim 10, wherein the item identification information of at least one type of item to be purchased includes attribute information of each type of item to be purchased, and the attribute information of each type of item to be purchased can uniquely identify an item category to which the type of item to be purchased belongs;

wherein, the determining the item category related to the at least one type of item to be purchased according to the item identification information of the at least one type of item to be purchased includes:

identifying attribute information of each type of to-be-purchased articles from the article identification information of the at least one type of to-be-purchased articles;

and identifying the article category of each type of article to be purchased according to the attribute information of each type of article to be purchased and a preset classification model.

12. The method according to claim 11, wherein the attribute information of each type of the item to be purchased is image information, contour information, or smell information;

the method for identifying the category of the article to be purchased according to the attribute information of each category of article to be purchased and the preset classification model comprises the following steps:

and inputting the image information, the contour information or the smell information of each type of article to be purchased into the preset classification model, and acquiring the type description information which is output by the preset classification model and corresponds to the image information, the contour information or the smell information of the article to be purchased.

13. The method of claim 11, further comprising:

acquiring attribute information of a plurality of sample articles and article types to which the sample articles belong in advance;

and training a classification model for identifying the article types according to the attribute information of the sample articles and the article types to which the sample articles belong.

14. The method according to any one of claims 11 to 13, wherein the item identification information of the at least one type of item to be purchased is an image containing each type of item to be purchased, and the identifying the image information of each type of item to be purchased from the item identification information of the at least one type of item to be purchased comprises:

and cutting the image to obtain a sub-image corresponding to each type of item to be purchased.

15. The method according to claim 14, wherein the determining the gravity information and the position representation information corresponding to each item category from the gravity information and the position representation information of the at least one item category on the carrying surface comprises:

determining position representation information corresponding to the article type of each type of article to be purchased by combining the sub-images corresponding to each type of article to be purchased;

and determining the gravity information corresponding to the type of the article to which each type of article to be purchased belongs according to the corresponding relation between the position representation information of each type of article to be purchased in the at least one type of article to be purchased and the gravity information.

16. A weighing terminal, comprising: the device comprises a bearing surface, an information acquisition unit, a communication unit and a processor;

an information acquisition unit for acquiring the article identification information of at least one kind of article to be purchased

The processor is used for sending the weight parameter information and the article identification information of at least one type of articles to be purchased to the server through the communication assembly so that the server can calculate the payment information of the at least one type of articles to be purchased, receive the payment information of the at least one type of articles to be purchased sent by the server and output the payment information.

17. The weighing terminal of claim 16, wherein the information acquisition unit comprises: a visual sensor and/or an odor sensor.

18. The weighing terminal of claim 16, further comprising: a display screen and/or audio component;

the display screen is used for displaying the payment information;

the audio component is used for outputting the payment information in a voice mode.

19. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by one or more processors, causes the one or more processors to perform the steps of the method of any one of claims 1-7.

20. A server comprising a memory, a processor, and a communication component;

the memory for storing a computer program;

the processor to execute the computer program to:

receiving weight parameter information and article identification information of at least one type of articles to be purchased, which are sent by a weighing terminal;

and returning the payment information to the weighing terminal through the communication component.

21. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by one or more processors, causes the one or more processors to perform the steps of the method of any one of claims 8-15.

22. A system for processing item information, comprising: a weighing terminal and a server;

the weighing terminal is used for responding to an article placing operation on a bearing surface of the weighing terminal, acquiring weight parameter information and article identification information of at least one type of article to be purchased on the bearing surface, sending the weight parameter information and the article identification information of the at least one type of article to be purchased to a server, receiving payment information of the at least one type of article to be purchased returned by the server, and outputting the payment information;

the server is used for receiving the weight parameter information and the article identification information of at least one type of articles to be purchased sent by the weighing terminal, calculating the payment information of the at least one type of articles to be purchased according to the weight parameter information and the article identification information of the at least one type of articles to be purchased, and returning the payment information to the weighing terminal.

23. The system according to claim 22, wherein the weighing terminal comprises an information collecting unit for collecting attribute information of each item in the at least one item to be purchased as the item identification information; the attribute information of each type of article can uniquely identify the category to which the article belongs.

24. The system of claim 23, wherein the information collection unit comprises: a visual sensor and/or an odor sensor;

the visual sensor is used for acquiring an image of each type of to-be-purchased article in the at least one type of to-be-purchased article;

the visual sensor is used for acquiring the outline of each type of to-be-purchased article in at least one type of to-be-purchased article;

the odor sensor is used for collecting the odor of each type of to-be-purchased article in at least one type of to-be-purchased article.

25. The system of claim 22 wherein said carrying surface comprises a plurality of unit carrying surfaces, each unit carrying surface carrying the same type of articles and being capable of detecting the weight of the articles carried thereby.

26. The system of claim 25, wherein the weighing terminal is specifically configured to: and receiving the gravity information reported by a plurality of unit bearing surfaces of the plurality of unit bearing surfaces, and acquiring the position representation information of the at least one type of to-be-purchased object on the bearing surfaces as the weight parameter information.

27. The system according to any one of claims 22-26, wherein the server is specifically configured to:

28. An apparatus, comprising:

the bearing surface comprises a plurality of sub bearing surfaces, and the sub bearing surfaces are suitable for bearing a class of articles and detecting the quality of the articles borne by the sub bearing surfaces;

the IO component is suitable for communicating with the server and receiving and transmitting data, wherein the transmitted data comprise the quality of the article and the position representation information on the bearing surface; and

and the display assembly is suitable for displaying the quality of the article and the position representation information on the bearing surface.

29. The apparatus of claim 28, wherein:

the IO component is suitable for communicating with a server and receiving and transmitting data, wherein the received data comprises price information;

the display component is further adapted to display the price information.

30. The apparatus of claim 28, further comprising: the information acquisition assembly is suitable for acquiring article identification information of one or more articles on a plurality of sub-bearing surfaces on the bearing surface, wherein the article identification information corresponds to the position representation information;

the IO component is suitable for communicating with a server and receiving and transmitting data, wherein the transmitted data further comprises the article identification information;

the display assembly is further adapted to display the item identification information.

31. The apparatus of claim 30, further comprising: the identity recognition component is suitable for collecting the identity information of the user through the information collection component;

the IO component is suitable for communicating with a server and receiving and transmitting data, wherein the transmitted data further comprises the user identity information.

32. An apparatus, comprising:

the bearing surface comprises a plurality of sub bearing surfaces, wherein the sub bearing surfaces are suitable for bearing articles with the same price and detecting the weight of the articles borne by the sub bearing surfaces and position representation information on the bearing surfaces;

the information acquisition assembly is suitable for acquiring article identification information of one or more articles on a plurality of sub-bearing surfaces on the bearing surface, wherein the article identification information corresponds to the position representation information;

the calculating component is suitable for acquiring article price information according to the article identification information and calculating the price according to the quality corresponding to the position representation information of the article and the article price information;

and the display assembly is suitable for displaying the position representation information, the article identification information and the weight of the article on the sub bearing surface and the calculated price.

33. The apparatus of claim 32, further comprising:

and the IO component is suitable for communicating with the server and transmitting and receiving data, wherein the transmitted data comprises the item identification information and the weight of the item.

34. The apparatus of claim 33, further comprising: the identity recognition component is suitable for collecting the identity information of the user through the information collection component;

35. The device of claim 34, wherein the IO component is adapted to communicate with a server, to receive and transmit data, wherein the server is adapted to verify the user identity information, and the received data includes offer information corresponding to the user identity information;

the calculation component is further adapted to calculate a promotional price based on the offer information;

the display component is further adapted to display the offer information.