CN110942293B

CN110942293B - Method, device, storage medium and system for processing article information

Info

Publication number: CN110942293B
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: 2024-04-02
Anticipated expiration: 2038-09-21
Also published as: CN110942293A

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 item identification information of at least one type of to-be-purchased items and provide the weight parameter information and the item identification information for the server, and the server determines the payment information of the at least one type of to-be-purchased items according to the weight parameter information and the item identification information and returns the payment information of the at least one type of to-be-purchased items to the weighing terminal, wherein the process of determining the payment information of the at least one type of to-be-purchased items is automatically realized, so that the time for a user to wait for acquiring the payment information is greatly reduced, and meanwhile, human errors in the process of settling accounts and weighing are reduced in a manual mode, so that good shopping experience is brought to the user.

Description

Method, device, storage medium and system for processing article information

Technical Field

The present disclosure relates to the field of internet of things, and in particular, to a method, an apparatus, a storage medium, and a system for processing article information.

Background

With the development of the internet, online shopping is more and more favored by the majority of users due to the characteristics of convenience and quickness, but the online shopping cannot completely replace the traditional offline shopping. In online shopping, a user enters a physical store to view physical items and optionally purchase items. However, when the user selects the article to check out, the cashier of the physical store is sometimes required to calculate the price of the user purchasing the article, which increases the waiting time of the user, and on the other hand, shopping and check out is performed manually, which is easy to go out of mistake and affects the online purchasing experience of the user.

Disclosure of Invention

Aspects of the present application provide a method, apparatus, 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 processing method of article information, which is suitable for a weighing terminal and comprises the following steps: responding to the object placing operation on the bearing surface of the weighing terminal, and acquiring weight parameter information and object identification information of at least one type of objects to be purchased on the bearing surface; the weight parameter information and the item identification information of the at least one type of items to be purchased are sent to a server, so that the server calculates payment information of the at least one type of items to be purchased; and receiving the payment information of the at least one type of to-be-purchased articles sent by the server and outputting the payment information.

The embodiment of the application also provides a processing method of the article information, which is suitable for the server and comprises the following steps: receiving weight parameter information and article identification information of at least one type of articles to be purchased 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 to-be-purchased articles according to the weight parameter information and the article identification information of the at least one type of to-be-purchased articles; and returning the payment information of the at least one type of to-be-purchased articles to the weighing terminal so that the weighing terminal can output the payment information.

The embodiment of the application also provides a weighing terminal, which comprises: 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 to-be-purchased articles positioned on the bearing surface; the information acquisition unit is used for acquiring the article identification information processor of at least one type of articles to be purchased, sending the weight parameter information and the article identification information of the at least one type of articles to be purchased to the server through the communication component so that the server can calculate the payment information of the at least one type of articles to be purchased, receiving the payment information of the at least one type of articles to be purchased, which is sent by the server, and outputting 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 in the above-described method.

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

The embodiment of the application also provides a processing system of the article information, which comprises: weighing terminal and server; the weighing terminal is used for responding to the article placing operation on the bearing surface of the weighing terminal, acquiring weight parameter information and article identification information of at least one type of articles 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 the server, receiving payment information of the at least one type of articles 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.

The embodiment of the application also provides equipment, which comprises: the bearing surface comprises a plurality of sub bearing surfaces, wherein the sub bearing surfaces are suitable for bearing one type of article and detecting the quality of the article 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 comprises the quality of the article and the position representation information on the bearing surface; and a display assembly adapted to display quality of the article and location characterization information on the bearing surface.

The embodiment of the application also provides equipment, which comprises: 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 and the position representation information on the bearing surfaces; the information acquisition component 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 price according to quality corresponding to the position representation information of the article and the article price information; and the display component is suitable for displaying the position representation information, the article identification information, the weight and the calculated price of the articles on the sub-bearing surfaces.

In the embodiment of the application, the weighing terminal can automatically acquire the weight parameter information and the item identification information of at least one type of to-be-purchased items and provide the weight parameter information and the item identification information for the server, and the server determines the payment information of the at least one type of to-be-purchased items according to the weight parameter information and the item identification information and returns the payment information of the at least one type of to-be-purchased items to the weighing terminal, wherein the process of determining the payment information of the at least one type of to-be-purchased items is automatically realized, so that the time for a user to wait for acquiring the payment information is greatly reduced, and meanwhile, human errors in the process of settling accounts and weighing are reduced in a manual mode, so that 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 embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:

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

FIG. 2 is a flow chart of a method of processing item information according to another exemplary embodiment of the present application;

FIG. 3 is a flowchart of a method for processing information of another article according to another exemplary embodiment of the present application;

FIG. 4 is a schematic structural frame diagram of an article information processing apparatus according to another exemplary embodiment of the present application;

FIG. 5 is a schematic view of a structural framework of a processing device for further object information according to a further exemplary embodiment of the present application;

fig. 6 is a schematic structural view of a weighing terminal according to another exemplary embodiment of the present application;

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

fig. 8 is a schematic structural view of an apparatus according to another exemplary embodiment of the present application;

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

Detailed Description

For the purposes, technical solutions and advantages of the present application, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments of the present application and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.

In conventional off-line shopping, a customer, namely 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 checks out the selected articles, so that off-line shopping is completed; in online shopping, because more customers are available, and fewer service personnel are available in the physical store, when the customers finish the goods selection and preparation for checkout, a great deal of time is required to wait for checkout, so that bad online shopping experience is brought to the customers, and meanwhile, in the process of goods checkout, the situation that payment information is wrong is caused due to human factors occurs. In some embodiments of the present application, the weighing terminal may automatically obtain the weight parameter information and the item identification information of at least one type of items to be purchased and provide the weight parameter information and the item identification information to the server, and the server determines the payment information of the at least one type of items to be purchased according to the weight parameter information and the item identification information and returns the payment information of the at least one type of items to the weighing terminal, where the process of determining the payment information of the at least one type of items to be purchased is automatically implemented, so that the time for a user to wait to obtain the payment information or weigh is greatly reduced, and meanwhile, human errors occurring in the process of implementing checkout and weighing in a manual manner are reduced, thereby bringing good shopping experience to the user.

The following describes in detail the technical solutions provided by the embodiments of the present application with reference to the accompanying drawings.

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

The weighing terminal 101 may be a terminal device of an entity store, may be disposed in the entity store, may also be disposed at a gate 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 in an indoor booth or an outdoor booth. The weighing terminal 101 is mainly responsible for weighing, pricing and other related transaction processes for the user to purchase goods or commodities in the physical store or the physical stall.

The weighing terminal 101 may be any device with a certain computing power, for example, an intelligent weighing machine 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 the weighing terminal 101. The weighing terminal 101 may also comprise a Memory, which may be volatile, such as RAM, or non-volatile, such as Read-Only Memory (ROM), flash Memory, etc., or both. The memory typically stores an Operating System (OS), one or more application programs, program data, and the like. In addition to the processing unit and the memory, the weighing terminal 101 comprises basic configurations such as a network card chip, an IO bus, an audio-video component, and an information acquisition unit (e.g., a vision sensor, an odor sensor, which may also be a camera or a laser scanner), etc. Optionally, the weighing terminal 101 may also include some peripheral devices, such as a keyboard, mouse, stylus, printer, code scanner, etc. The code scanning gun can scan various bar codes or various coding patterns such as two-dimensional codes and the like, and related information can be obtained from the code scanning gun. Other peripheral devices are well known in the art and are not described in detail herein.

The weighing terminal 101 may be configured with one or more depending on the size of the physical store or the physical booth. The physical store or the physical stall can be any physical space with a certain space and a sales function or behavior, the physical store can be a supermarket, a convenience store, a market and the like, and the physical stall can be a sales stall in a vegetable market and the like.

The server 102 is a server capable of performing transaction processing in a network virtual environment, and is generally a server capable of performing operations related to commodity 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 a physical implementation, the server 102 may be any device capable of providing computing services, responding to service requests, and processing, such as a conventional server, cloud host, virtual center, etc. The server mainly comprises a processor, a hard disk, a memory, a system bus and the like, and is similar to a general computer architecture.

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 system of the mobile network may be any 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 this embodiment is described in detail below:

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

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

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

The article identification information is mainly used for identifying the article and the category of the article, and can be any information which can be collected and can identify the article and the category thereof. In an alternative embodiment, the attribute information of each type of the at least one type of to-be-purchased articles can be used as the article identification information of the type of articles, and the attribute information of each type of articles can uniquely identify the type of the articles. The attribute information of each type of article may be one or more of image information, profile information, smell information, or the like of the article. For example, the attribute information of the apples may be a picture containing the apples, or the attribute information of the apples may be smell of the apples and outline of the apples. Of course, the attribute information of the apples may also be pictures containing the apples, the smell of the apples, and the outline of the apples.

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

The number of 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 the laser scanners or the laser scanners can be arranged according to the size of the bearing surface, and the arranged positions can be above the bearing surface, or can be arranged on one side of the unit bearing surface; and the odor sensor may be one or more. In addition, the camera, the laser scanner and the lens of the laser scanner can rotate, so that the required information can be collected more comprehensively. In fig. 1, only the camera 103 is shown, the camera 103 being connected to the terminal device 101. It should be understood that a laser scanner or a laser scanner and an odor sensor may be connected to the terminal apparatus 101 like the camera 103.

The following description is provided in connection with the examples of several information acquisition units listed above, respectively. Optionally, a visual sensor, such as a camera, is provided 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 collect an image of the bearing surface, and if an object to be purchased is on the bearing surface, the image collected by the visual sensor contains the image of the object to be purchased. Based on this, the image information may be acquired by: image information of various items to be purchased on the carrying surface is acquired by a visual sensor, such as a camera, provided on the weighing terminal 101.

Optionally, a visual sensor, such as a laser scanner or a laser scanner, capable of capturing the contours of the object may also be provided on the weighing terminal 101. The carrying surface of the weighing terminal 101 is located within the scanning range of the laser scanner or the laser scanner, so that the laser scanner can collect contour information of the object to be purchased on the carrying surface when the object to be purchased is on the carrying surface. For example, the acquisition mode of the profile information of the to-be-purchased article may include: profile information for each type of item to be purchased (e.g., apples, oranges, etc.) is acquired by a visual sensor, such as a laser scanner, disposed on the weighing terminal 101.

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

It should be noted that the location of the visual sensor may depend on the product form of the weighing terminal 101, for example, the visual sensor may be disposed on a side of the carrying surface with the visual sensor facing the carrying surface, or the visual sensor may be disposed on a stand of the weighing terminal 101, the stand being higher than the carrying surface, the visual sensor facing downward toward the carrying surface, or the like.

Optionally, an odor sensor may be disposed on the weighing terminal 101, where the bearing surface of the weighing terminal 101 is located within a sensing range of the odor sensor, so that when an article to be purchased is 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 acquisition mode of the smell information may include: smell information of each type of the items to be purchased (e.g., durian) is acquired by a smell sensor provided on the weighing terminal 101.

For the article identification information, image information of the article may be selected as the article identification information, and profile information or smell information of the article may be selected as the article identification information. Of course, the image information, the contour information and the smell information may be selected as the article identification information, the image information may be used as the main identification information, the contour information and the smell information may be used as the auxiliary information, and the server 102 may be assisted in determining the category related to the article according to the image information.

The weight parameter information refers to related information which can represent the weight of each type of article in at least one type of article. The weight parameter information may vary depending on the implementation of the bearing surface. For example, if the load bearing surface has a weighing system of an existing electronic scale, the weight of each type of item can be measured, and the weight parameter information may include a weight value of each type of item, for example, 3.0kg (kilograms), 1.2kg, and the like. For another example, the carrying surface includes a plurality of unit carrying surfaces, each unit carrying surface is used for carrying the same article, each unit carrying surface includes a gravity sensor, the gravity sensor is used for measuring the gravity to which the article on the corresponding unit carrying surface is subjected, where the gravity refers to the gravity generated by the gravitational force, 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 articles in at least one type of to-be-purchased articles on the bearing surface. The position representation information mainly reflects the positions of various objects to be purchased on the bearing surface, so that the various objects to be purchased can be conveniently corresponding to the gravity information measured by the gravity sensors.

The server 102 is mainly responsible for receiving the weight parameter information and the item identification information of at least one type of items to be purchased sent by the weighing terminal 101, calculating payment information of the at least one type of items to be purchased according to the weight parameter information and the item identification information of the at least one type of items to be purchased, and returning the payment information to the weighing terminal 101, so as to realize intelligent weighing, liberate weighing personnel (such as salesperson or consumer) from complicated weighing operation, improve weighing efficiency, and reduce error probability caused by manually calculating the payment information by utilizing the computing capability of the server 102. The payment information may be the total amount to be paid by the consumer, or may be shopping list information of the consumer, such as names of various purchased items, corresponding unit price, corresponding payment amount, and corresponding total payment amount.

For example, according to the foregoing, when a user, i.e. a customer, selects a type of article or commodity in a fruit supermarket, for example, apples, the user places the selected apples on the carrying surface of the weighing terminal 101 and occupies one unit carrying surface of the carrying surface, and the weighing terminal 101 responds to the operation to acquire the gravity information, for example, 0.05 newton, of the apples through the gravity information reported by the gravity sensor corresponding to the unit carrying surface on one hand, and acquires the image information of the apples on the carrying unit through the vision sensor on the other hand; then, the weighing terminal 101 transmits the gravity information of the apples and the image information of the apples to the server 102. The server 102 receives the gravity information, such as 0.05 newton, of the apple and the image information of the apple, determines the gravity information, such as 9.8×0.05=0.49 kg, determines the category related to the object, such as the apple, from the image information, and determines the payment amount, i.e. payment information, of the apple, such as 0.49×10=4.9 yuan, according to the unit price, such as 10 yuan/kg, of the apple. The server 102 then sends the payment information 4.9 elements to the weighing terminal 101. The weighing terminal 101 receives the total amount of payment returned by the server 102 of 4.9 yuan.

Optionally, the weighing terminal 101 may also output the payment information returned by the server 102 to the consumer. The present embodiment does not limit the output manner of the weighing terminal 101. 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. Alternatively, the weighing terminal 101 also has an audio component by which the payment information returned by the server 102 can be played to the consumer in a voice manner. In this way, the consumer can complete the payment operation according to the payment information outputted from the weighing terminal 101, and successfully shop.

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

In some examples, as shown in fig. 1, the bearing surface 104 includes a plurality of cell bearing surfaces 105; each cell-carrying surface 105 carries the same item and can detect the weight of the item it carries. Wherein each unit load surface 105 includes a gravity sensor, and each unit load surface 105 detects the gravity of the object carried by the unit load surface through the corresponding gravity sensor.

For example, according to the foregoing, when a user places 3 apples on one unit carrying surface 105, the gravity sensor corresponding to the unit carrying surface 105 receives the pressure deformation information due to the stress of the unit carrying 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 is converted into a digital signal convenient to process, the digital signal is the gravity information of 3 apples, and after the weighing terminal 101 receives the digital signal, the gravity value is determined by the CPU calculation, and 0.05 newton.

It should be appreciated that each unit bearing surface 105 is used to house 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 can bear force independently, instead of an iron plate in the current market, only the total weight of one type of article can be collected, each unit bearing surface 105 includes a gravity sensor, the terminal device 101 can also determine the identifier of the unit bearing surface and the position of the stressed unit bearing surface 105 on the bearing surface according to the unit bearing surface reporting gravity information, and can set the identifier for the gravity sensor corresponding to the unit bearing surface 105, at this time, the identifier of the unit bearing surface and the identifier of the gravity sensor are in one-to-one correspondence or the same.

Based on the above-mentioned 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 articles on the bearing surface 104 is obtained and used as weight parameter information.

Wherein the location characterization information may include: the identity of the unit bearing surface 105 (may also be the identity of the gravity sensor corresponding to the unit bearing surface 105); alternatively, the location information of the unit bearing surface 105 on the bearing surface may be represented by a mark, for example, presetting the unit bearing surface 105 marked 001 to be in the upper left corner of the bearing surface 104, and then the location of the unit bearing surface 105 marked 001 is the upper left corner.

For example, according to the foregoing, when the user purchases multiple types of articles to be purchased, such as 3 apples, 5 pears, and 4 cucumbers, the user places the multiple types of articles to be purchased into 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 values of the articles to be purchased in each type, such as 3 apples: 0.05 newton, 5 pears: 0.1 newton, 4 cucumbers: 0.06 newtons. Meanwhile, the corresponding unit bearing surface 105 reports the own identification information, such as 001, or reports the position of the corresponding unit bearing surface 105, in addition to the corresponding gravity information: the upper left corner.

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

For example, as described above, 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, performing image recognition on the image information through an image recognition algorithm, determining that the class related to the class of articles is apples, and determining the unit price corresponding to the apples through searching stored data of the server 102: and determining the weight of the apples to be 0.05 x 9.8=0.49 kg according to the corresponding gravity information of 0.05 newton, and determining the total price of the apples to be 0.49 x 10=4.9 yuan.

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

It should be noted that, when the server 102 receives the gravity information and the image information of the plurality of types of objects to be purchased (for example, 3 apples, 5 pears, and 4 cucumbers) sent by the weighing terminal 101, the weighing terminal 101 correlates 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 an independent image, and is not set with other types of objects, namely, is 3 independent image information, then the three image information is respectively identified by an image algorithm to determine the type related to the respective corresponding object, and then determines the respective corresponding weight, for example, 3 apples: 0.49kg, 5 pears: 0.98kg, 4 cucumbers: 0.588kg, the apple unit price is determined to be 10 yuan/kg, the pear unit price is determined to be 8 yuan/kg, and the cucumber unit price is determined to be 6 yuan/kg by looking up the stored data of the server 102, and then the total price=apple price+pear price+cucumber price=0.49×10+0.98×8+0.588×6=4.9+7.84+3.528= 16.268 yuan is calculated.

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 obtain the image information, so the weighing terminal 101 may correlate or correspond the gravity parameter information with the image information.

In some examples, server 102 is specifically configured to: determining the item category to which at least one type of the items to be purchased belongs according to the item identification information of the at least one type of the items to be purchased; determining gravity information and position representation information corresponding to each article category from 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 a bearing surface; and calculating the weight corresponding to each type of to-be-purchased article according to the gravity information and the position characterization information corresponding to each article type.

For example, according to the foregoing, when the user wants to purchase three kinds of articles, such as 3 apples, 5 pears, and 4 cucumbers, the server 102 identifies the corresponding kind by using the image algorithm from the image information of the three kinds of articles independently: the apples, pears and cucumbers receive the identification information of the respective unit bearing surface 105 when the weighing terminal 101 receives the gravity information sent by the unit bearing surface 105, namely, the unit bearing surface 105 marked as 001 reports 0.05 newton, then the corresponding camera 103 (for example, the camera 103 No. 1 corresponding to the unit bearing surface 105 marked as 001) is started to acquire the image information of the apples on the unit bearing surface 105, the unit bearing surface 105 marked as 001, the gravity information 0.05 newton and the image information of the apples are corresponding or associated, and the image information is sent to the server 102, after the server 102 acquires the apple category according to the image information, the corresponding relation between the unit bearing surface 105 marked as 001 and the category apples is determined according to the corresponding relation between the unit bearing surface 105 marked as 001 and the gravity information 0.05 newton, the gravity information corresponding to the category apples is determined to be 0.05 newton, the weight of the category apples is determined to be 0.05 x 9.8=0.49 kg according to the gravity information, and the weight of the apples is not determined to be equal to the weight of the apples.

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, 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; 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 object category to which each type of object to be purchased belongs according to the attribute information of each type of object 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 (Logistic Regression, LR) models, and the like.

For example, according to the foregoing, when the server 102 receives the item identification information, the item identification information may be sub-identification information of a plurality of types of items (i.e., identification information of each item), for example, image information of apples, image information of pears, and image information of cucumbers, so that the server 102 needs to acquire the sub-identification information of each type of item from the item identification information one by one, when the sub-identification information of each type of item, for example, the image information is independent, the image information corresponding to each type of item is directly acquired from the received item identification information, and then the acquired image information is sequentially input into the classification model to obtain the category description information output by the classification model, for example, the category description information corresponding to the apples: 294, codes 295 corresponding to pear categories, etc. The determining process of the category description information of the pears and the cucumbers is the same as that of the apples, and will not be described again here.

It should be noted that the categories may be varied, and different categories in one category may be used, such as Fuji apples, ackesu apples, etc. in the apple category, in addition to completely different species, such as apples and cucumbers, apples and pears. In some examples, the attribute information of each type of item to be purchased is image information, profile information, or scent information; the server 102 is specifically configured to: inputting the image information, the contour information or the smell information of each type of to-be-purchased object into a preset classification model, and obtaining class description information corresponding to the image information, the contour information or the smell information of the to-be-purchased object output by the preset classification model.

For example, according to the foregoing, when the attribute information received by the server 102 is the image information, the smell information or the outline information, the server 102 is required to extract the attribute information first, and when the extracted image information is the image information and the image information is independent, each image information is sequentially input into the classification model, so as to obtain the category description information output by the classification model, such as the coding corresponding to the apple category: 294, codes 295 corresponding to pear categories, etc. When the 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, codes 295 corresponding to pear categories, etc. When the extracted contour information is contour information, sequentially inputting each contour information into a classification model to obtain class description information output by the classification model, such as codes corresponding to apple classes: 294, codes 295 corresponding to pear categories, etc.

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

When the image information, smell information or contour information is sent to the server 102, the weighing terminal 101 will identify according to the property of each piece of information, for example, the image information is identified as m, the smell information is identified as s, and the contour information is identified as o, so that the server 102 determines the property of the information corresponding to each identification, such as the image information, according to the preset identification record, and thus the image information is input into the corresponding classification model.

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

The collecting mode may include: after the goods or commodities to be sold are transported to the selling shelves 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 entered into the weighing terminal 101, and the weighing terminal 101 transmits the name or unit price information to the server 102.

It should be noted that, in the collection process, an intelligent terminal, such as a PC terminal, may be further deployed, to receive the image information of the object collected by the camera, to receive the name and the unit price information of the object manually entered, and to send these information to the server 102.

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

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

In some examples, the item identification information for 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 sub-images corresponding to each type of item to be purchased.

For example, according to the foregoing, 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 obtains the gravity parameter information reported by each unit bearing surface 105, the camera 103 may be started to collect images of all the articles on the bearing surface 104, and the image information at this time is not independent, and is an image, and the image has sub-images of three types of articles, such as apples, pears, and cucumbers. And sending the gravity parameter information and the image to the server 102, and after the server 102 receives the image, identifying boundary lines or edges of images of apples, pears and cucumbers in the image according to an image identification algorithm, and cutting the image into independent sub-images of apples, pears and cucumbers.

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

For example, in accordance with the foregoing, upon identifying each individual letter information after cutting in accordance with the method set forth above, the identified category results are: apple, pear, cucumber. The server 102 presets an image of the original bearing surface 104 (i.e. an image without any article placed on the bearing surface 104), compares an 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. where the image is shot on the bearing surface 104), and can also determine the identity of the unit bearing surface 105, for example, the identity of the unit bearing surface 105 on the upper left corner of the bearing surface 104 is 001, and determines the gravity information corresponding to each article according to the corresponding relationship between the position characterization information and the gravity information according to the method set forth above; determining the weight corresponding to each type of article according to the gravity information; so as to finally determine the total price of 3 apples, 5 pears and 4 cucumbers.

It will be appreciated that when the camera 103 acquires an image of an item, an image of the unit load surface 105 under each item type is acquired together.

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

scene 1: when the actual application scenario is a comprehensive supermarket, the carrying terminal 101 may be disposed in the comprehensive supermarket, especially in a vegetable and fruit vending weighing area, and the user may purchase meat, vegetables and fruits, snack foods, living goods, and the like in the comprehensive supermarket. When the user wants to purchase vegetables and fruits, and takes the vegetables and fruits to the weighing terminal 101 in the selling weighing area of the vegetables and fruits in the comprehensive supermarket for weighing, the user can place the vegetables and fruits to be purchased on different unit bearing surfaces 105 on the bearing surface 104 of the weighing terminal 101 according to the categories, the weighing terminal 101 receives the gravity information reported by the corresponding unit bearing surfaces 105, and the gravity values of the articles to be purchased in each category are obtained through calculation, for example, 3 apples: 0.05 newton, 5 pears: 0.1 newton, 4 cucumbers: 0.06 newtons. Meanwhile, the corresponding unit bearing surface 105 reports, in addition to the corresponding gravity information, its own identification information, such as 001, or reports the position of the corresponding unit bearing surface 105 on the bearing surface 104: upper left corner (indicating the upper left corner of the bearing surface 104), middle (indicating the middle position of the bearing surface 104), right side (indicating the right side region of the bearing surface 104), etc. Meanwhile, the corresponding cameras 103 are triggered to acquire image information of each type of article, the image information and gravity parameter information of each type of article are sent to the server 102, the server 102 identifies and determines the category related to each corresponding article through an image algorithm, and as the image information and the gravity information are associated or correspondingly sent, the weight corresponding to each category of article can be obtained according to the association relationship or the corresponding relationship, for example, 3 apples: 0.49kg, 5 pears: 0.98kg, 4 cucumbers: 0.588kg, when the apple unit price is 10 yuan/kg, the pear unit price is 8 yuan/kg, and the cucumber unit price is 6 yuan/kg, the total price=apple price+pear price+cucumber price=0.49×10+0.98×8+0.588×6=4.9+7.84+3.528= 16.268 yuan is calculated. After the weighing of the vegetables and the fruits is finished, the user can take the vegetables and the fruits to pay, and take other articles to be purchased, such as articles for daily use, snacks and the like or goods to the final cash register end of the comprehensive supermarket to carry out final checkout.

Scene 2: when the actual application scenario is a vegetable and fruit supermarket, the weighing terminal 101 may be disposed in the vegetable and fruit supermarket or at the gate of the vegetable and fruit supermarket, and the user may purchase vegetables and fruits in the vegetable and fruit supermarket. When the user wants to purchase vegetables and fruits, and takes the vegetables and fruits to the weighing terminal 101 of the integrated supermarket for weighing, the user can place the vegetables and fruits to be purchased on different unit bearing surfaces 105 on the bearing surface 104 of the weighing terminal 101 according to the categories, the weighing terminal 101 receives the gravity information reported by the corresponding unit bearing surfaces 105, and the gravity values of the articles to be purchased in each category are obtained through calculation, for example, 3 apples: 0.05 newton, 5 pears: 0.1 newton, 4 cucumbers: 0.06 newtons. Meanwhile, the corresponding unit bearing surface 105 reports the own identification information, such as 001, or reports the position of the corresponding unit bearing surface 105, in addition to the corresponding gravity information: the upper left corner. Simultaneously triggering the corresponding cameras 103 to acquire image information of each type of article, sending the image information and gravity parameter information of each type of article to the server 102, and identifying and determining the category related to each corresponding article by the server 102 through an image algorithm, wherein the image information and the gravity information are associated or correspondingly sent, and the weight corresponding to each category of article can be obtained according to the association relationship or the corresponding relationship, for example, 3 apples: 0.49kg, 5 pears: 0.98kg, 4 cucumbers: 0.588kg, when the apple unit price is 10 yuan/kg, the pear unit price is 8 yuan/kg, and the cucumber unit price is 6 yuan/kg, the total price=apple price+pear price+cucumber price=0.49×10+0.98×8+0.588×6=4.9+7.84+3.528= 16.268 yuan is calculated. After the weighing of the vegetables and the fruits is finished, the user can obtain the total price of the vegetables and the fruits, and the user can check out according to the total price at the moment and quickly finish shopping. According to the technical scheme, the time for purchasing vegetables and fruits in the vegetable and fruit supermarket can be reduced, calculation errors of human factors cannot occur, and good shopping experience is brought to the user.

When the actual application scene is a vegetable market, the weighing terminal 101 can be arranged in an entity stall in the vegetable market, the entity stall can be indoor or outdoor, and a user can purchase vegetables and fruits in the vegetable market. The process of pricing the vegetables and fruits to be purchased in the vegetable market by the user is the same as the process of pricing the vegetables and fruits to be purchased in the vegetable and fruit supermarket, and will not be repeated here.

Fig. 2 is a flowchart of a method for processing item information according to another exemplary embodiment of the present application. The method 200 provided in the embodiment of the present 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, and acquiring the weight parameter information and the article identification information of at least one type of articles to be purchased on the bearing surface.

Step 202: the weight parameter information and the identification information of the at least one type of item to be purchased are sent to the server 102 for the server to calculate payment information of the at least one type of item to be purchased.

Step 203: and receiving payment information of at least one type of to-be-purchased articles 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 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; wherein, the attribute information of each type of article can uniquely identify the category to which the type of article belongs.

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

acquiring images of each type of to-be-purchased articles in at least one type of to-be-purchased articles by using a visual sensor;

acquiring the outline of each type of to-be-purchased article in at least one type of to-be-purchased articles by utilizing a visual sensor;

the odor sensor is utilized to collect the odor of each of the at least one type of items to be purchased.

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

In some examples, obtaining weight parameter information for at least one type of item to be purchased on the load 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 characterization information for at least one type of item to be purchased on the bearing surface includes: acquiring the identifications of a plurality of unit bearing surfaces reporting the gravity information; or acquiring the position information of a plurality of unit bearing surfaces reporting the gravity information on the bearing surfaces.

In some examples, outputting the payment information includes: the payment information is displayed or output in a voice manner.

For example, according to the foregoing, when the weighing terminal receives the payment information returned from the server, the payment information may be displayed through a display screen of the weighing terminal or played in 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 above embodiment has been described in detail above, and will not be described herein again.

Fig. 3 is a flowchart of a method for processing information of another article according to another exemplary embodiment of the present application. The method 300 provided in 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 articles to be purchased sent by the weighing terminal, wherein the at least one type of articles to be purchased are positioned on a bearing surface of the weighing terminal.

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

Step 303: payment information for at least one type of item to be purchased is returned to the weighing terminal 101 for the weighing terminal to output the payment information.

In some examples, determining a category and a weight of each of the at least one type of items to be purchased based on the weight parameter information and the item identification information of the at least one type of items to be purchased; determining the unit price of each type of to-be-purchased article according to the type of each type of to-be-purchased article; and calculating payment information of at least one type of to-be-purchased articles according to the unit price and the weight of each type of to-be-purchased articles.

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

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, 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, according to the article identification information of at least one type of articles to be purchased, determining the article category related to at least one type of articles to be purchased comprises: 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 object category to which each type of object to be purchased belongs according to the attribute information of each type of object 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, profile information, or scent information; the identifying the item category to which each type of the items to be purchased belongs according to the attribute information of each type of the items to be purchased and a preset classification model comprises the following steps: inputting the image information, the contour information or the smell information of each type of to-be-purchased object into a preset classification model, and obtaining class description information corresponding to the image information, the contour information or the smell information of the to-be-purchased object output by the preset classification model.

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

In some examples, 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 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: the image is cut to obtain sub-images corresponding to each type of item to be purchased.

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

It should be noted that, the specific implementation of the method 300 provided in the above embodiment has been described in detail above, and will not be described herein again.

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

the acquiring module 401 is configured to acquire weight parameter information and item identification information of at least one type of items to be purchased on the carrying surface in response to an item placement operation on the carrying surface of the weighing terminal.

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

And the receiving module 403 is configured to receive payment information of at least one type of to-be-purchased items sent by the server and output the payment information.

The method for acquiring the article identification information of at least one type of articles to be purchased on the bearing surface comprises the following steps: collecting attribute information of each type of articles in at least one type of articles to be purchased as article identification information; wherein, the attribute information of each type of article can uniquely identify the category to which the type of article belongs.

Wherein, gather the attribute information of each kind of article in at least one kind of article to be purchased, include 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 the identifications of a plurality of unit bearing surfaces reporting the gravity information; or acquiring the position information of a plurality of unit bearing surfaces reporting the gravity information on the bearing surfaces.

In some examples, the manner in which the payment information is output includes: the payment information is displayed or output in a voice manner.

Fig. 5 is a schematic structural frame diagram of a processing device for further object 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: the functions of the receiving module 501, the calculating module 502 and the transmitting module 503 are described in detail below:

the receiving module 501 is configured to receive weight parameter information and item identification information of at least one type of items to be purchased sent by the weighing terminal, where the at least one type of items to be purchased are 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 article according to the weight parameter information and the article identification information of the at least one type of to-be-purchased article.

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

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

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

the first determining unit is specifically configured to: determining the item category to which at least one type of the items to be purchased belongs according to the item identification information of the at least one type of the items to be purchased; determining gravity information and position representation information corresponding to each article category from 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 a bearing surface; and calculating the weight corresponding to each type of to-be-purchased article according to the gravity information and the position characterization information corresponding to each article type.

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, 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; the first determining unit is specifically configured to: determining the item category related to the at least one type of to-be-purchased item according to the item identification information of the at least one type of to-be-purchased item, 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 object category to which each type of object to be purchased belongs according to the attribute information of each type of object 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, profile information, or scent information; the first determining unit is specifically configured to: inputting the image information, the contour information or the smell information of each type of to-be-purchased object into a preset classification model, and obtaining class description information corresponding to the image information, the contour information or the smell information of the to-be-purchased object output by the preset classification model.

In some examples, the apparatus 500 further comprises: the collection module is used for collecting attribute information of a plurality of sample articles in advance and the article category of the plurality of sample articles; the training module is used for training a classification model for identifying the object types according to the attribute information of the plurality of sample objects and the object types of the plurality of sample objects.

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, the first determining unit is specifically configured to: the image is cut to obtain sub-images corresponding to each type of item to be purchased.

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

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

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

an information acquisition unit 602 for acquiring article identification information of at least one type of articles to be purchased

The processor 601 is configured to send weight parameter information and item identification information of at least one type of items 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 items to be purchased, and receive payment information of the at least one type of items to be purchased sent by the server, and output 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; wherein, the attribute information of each type of article can uniquely identify the category to which the type of article belongs.

The bearing surface comprises a plurality of unit bearing surfaces; each unit bearing surface bears the same kind 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 the identifications of a plurality of unit bearing surfaces reporting the gravity information; or acquiring the position information of a plurality of unit bearing surfaces reporting the gravity information on the bearing surfaces.

The method for outputting the payment information comprises the following steps: the payment information is displayed or output in a voice manner.

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

In some examples, the weighing terminal 600 further comprises: a display 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 manner.

Further, as shown in fig. 6, the weighing terminal 600 further includes: power supply assembly 606, and the like. Only some of the components are schematically shown in fig. 6, which does not mean that the weighing terminal 600 only comprises 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 articles to be purchased and provide the weight parameter information and the article identification information for the server, service personnel in a physical store are not required to weigh the articles in a manual mode, labor cost is reduced, and weighing errors caused by human factors in the weighing process are avoided. In addition, 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 steps of a method for processing item information in the embodiment of the method 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, the server 700 may include: a processor 701, a memory 702, and a communication 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 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 to-be-purchased articles according to the weight parameter information and the article identification information of the at least one type of to-be-purchased articles; and returns payment information to the weighing terminal via the communication group 703.

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

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

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, 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;

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 object category to which each type of object to be purchased belongs according to the attribute information of each type of object 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, profile information, or scent information; the processor 701 is specifically configured to: inputting the image information, the contour information or the smell information of each type of to-be-purchased object into a preset classification model, and obtaining class description information corresponding to the image information, the contour information or the smell information of the to-be-purchased object output by the preset classification model.

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

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

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

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 articles to be purchased provided by the weighing terminal, and returns the payment information to the weighing terminal, so that the payment information of the user when purchasing the articles can be rapidly 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, which when executed by one or more processors, causes the one or more processors to implement the steps of a method for processing item information in the embodiment of the method of fig. 3.

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

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

IO component 802, adapted to communicate with a server, to receive and transmit data, wherein the transmitted data comprises quality of the item and location characterization information on a bearing surface.

A display component 803 is adapted to display quality of the article and position characterization information on the bearing surface.

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

Alternatively, if the mass of the item is the weight of the item, the weight may be determined by the weight of the carried item by the device 800, and then the mass is 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 the device 800 via a weight sensor on the bearing surface 801. For how to determine the mass of the object based on gravity, reference is made to the relevant description in the previous embodiments, and will not be repeated here.

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

The price information may include a total price of various articles on the bearing surface, and may further include price information corresponding to the articles borne by each sub-bearing surface. The price information may be calculated by the server based on the quality of the item sent by the IO component 802 of the device 800 and the location characterization information on the bearing surface. If the mass of the object is the gravity of the object, the server calculates the price (the price may be a specific implementation of the payment information in the foregoing embodiment) according to the gravity of the object and the position characterizing information on the bearing surface, which is not described herein. 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 previous scheme.

In some examples, the apparatus 800 further comprises: an information acquisition component 804 adapted to acquire article identification information of one or more articles on a plurality of sub-bearing surfaces on a bearing surface, wherein the article identification information corresponds to the position characterization information; the IO component 802 is adapted to communicate with a server, receive and transmit data, wherein the transmitted data further comprises item identification information; the display component 803 is further adapted to display item identification information. The method comprises the steps of sending the article identification information to a server, and enabling the server to conveniently determine the corresponding relation among the article identification information, the position characterization information and the quality of the article, so that the price is calculated. For example, the server may determine a relationship between the quality of the item and the item category based on the 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 folded unit price information or 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; IO component 802 is adapted to communicate with a server to transceive data, wherein the transmitted data further comprises said user identity information. Alternatively, the user may register in the server in advance to obtain the user identity information. The server can provide different promotion activities or additional services for different users according to the user identity 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 card user may obtain an 8-fold offer, a copper card user may enjoy a 9-fold offer, and so on. For another example, a gold user may enjoy the offers of all specified merchandise, a copper user may only enjoy the offers of some specified merchandise, such as merchandise B, and so on. For another example, the server may provide information push services for VIP users, and the push information may include consumption reminders, coupon activity notifications, account balance reminders, and the like; the information push service is not open to the average user.

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

Additionally, embodiments of the present invention provide a computer storage medium that, when executed by one or more processors, causes the one or more processors to perform the operations described above as being implemented by device 800.

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

The bearing surface 901, wherein the bearing surface 901 comprises 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 acquisition component 902 is adapted to acquire article identification information of one or more articles on a plurality of sub-bearing surfaces on the bearing surface 901, wherein the article identification information corresponds to the position characterization information.

The calculating component 903 is adapted to obtain item price information according to the item identification information, and calculate a price according to quality and item price information corresponding to the item position characterization information.

A display component 904 adapted to display position characterization information, item identification information, and weight of the item on the sub-bearing surface, and the calculated price.

The articles with the same price can be articles with the same price after the discount, can be articles with the same original price before the discount, and can also be articles with the same original price without participating in the discount and the same price after participating in the discount. For example, when not engaged in a preference, the price of an apple and the price of a banana are 7 jin, and then the apple and banana are the same price items. When the preferential activity is not participated, the price of the apples is 10 jin, the price of the bananas is 7 jin, when the preferential activity is participated, the price of the apples and the price of the bananas are 6 jin, and then the apples and the bananas are the same price when the preferential activity is participated. When the preferential activity is not participated, the price of the apples and the price of the bananas are 7 jin, when the preferential activity is participated, the price of the apples is 5 jin, and the price of the bananas is 4 jin, so that when the preferential activity is not participated, the apples and the bananas are the same price.

Further, as is clear from the above examples, the above-mentioned items having the same price may be different kinds of items. Of course, the same price items may be different types of items.

Alternatively, the weight of the items may be determined by the weight of the carried items by the device 900. In this alternative embodiment, a gravity sensor is provided on the bearing surface and is responsible for collecting the weight of the item carried on the sub-bearing surface for the apparatus 900 to calculate the weight of the corresponding item.

The device 900 of the embodiment can be implemented as an intelligent scale, an electronic scale and the like, and the device 900 can automatically and intelligently calculate the weight, price and other information of the articles on the bearing surface, and can display the relevant information such as the article identification information, the weight, the price and the like to the user, thereby facilitating the user to finish the subsequent payment operation after verification, being beneficial to reducing the labor of relevant personnel needing weighing and price, improving the efficiency and solving the problem of easy error in manual price. In some examples, the apparatus 900 further comprises: the IO component 905 is adapted to communicate with a server to transceive data, wherein the transmitted data comprises item identification information and the weight of the item.

In some examples, the apparatus 900 further comprises: an identity component 906 adapted to collect user identity information via the information collection component 902; the 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 user ID, user nickname, user gender, and the like.

In some examples, the IO component 905 is adapted to communicate with a server, transceiving data, wherein the server is adapted to verify user identity information, the received data comprising coupon 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 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 preferential rate is 8.5 times; or coupons corresponding to the user identity information, full 50 minus 5 yuan, and the like. Based on the offer information, a post-offer price, i.e., a promotional price, for the item is calculated.

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 combination with the user identity information, the items the user needs to purchase (where the items the user needs to purchase may be determined by the item identification information), the weight of the items, etc., the offer information that the user may enjoy, and return the offer information to the device 900, so that the device 900 may calculate a promotional price in combination with the offer information that the user may enjoy.

For example, the server may determine the identity level of the user, for example, a VIP user, determine the item to be purchased by the user through the item identification information, and assume that the user is imported snake fruit, the purchase weight is 5kg, and further determine that the VIP user may enjoy an 8-fold offer of the imported commodity when the purchase weight is greater than 3kg, and return the 8-fold offer information or the folded price information as the offer information to the device 900.

Additionally, embodiments of the present invention provide a computer storage medium that, when executed by one or more processors, causes the one or more processors to perform the operations described above as being implemented by apparatus 900.

In addition, in some of the above embodiments and the flows described in the drawings, a plurality of operations appearing in a specific order are included, but it should be clearly understood that the operations may be performed out of the order in which they appear herein or performed in parallel, the sequence numbers of the operations such as 201, 202, 203, etc. are merely used to distinguish between the various operations, and the sequence numbers themselves do not represent any order of execution. In addition, 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" and "second" herein are used to distinguish different messages, devices, modules, etc., and do not represent a sequence, and are not limited to the "first" and the "second" being different types.

The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by adding necessary general purpose hardware platforms, or may be implemented by a combination of hardware and software. Based on such understanding, the foregoing aspects, in essence and portions contributing to the art, may be embodied in the form of a computer program product, which may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.

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 storage media for a computer 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, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

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

acquiring weight parameter information and article identification information of at least one type of articles to be purchased on a plurality of unit bearing surfaces on the bearing surface in response to the article placement operation on the bearing surface of the weighing terminal, wherein each unit bearing surface bears the same type of articles;

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

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

2. The method of claim 1, wherein the obtaining item identification information for at least one type of item to be purchased on a plurality of unit load-bearing surfaces on the load-bearing 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; wherein, the attribute information of each type of article can uniquely identify the category to which the type of article belongs.

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

4. A method according to any one of claims 1-3, wherein said obtaining weight parameter information for at least one type of item to be purchased on a plurality of unit load bearing surfaces on said load bearing surface comprises:

and receiving gravity information reported by a plurality of unit bearing surfaces in the plurality of unit bearing surfaces, and acquiring position representation information of the at least one type of to-be-purchased articles on the bearing surfaces, wherein the gravity information is information detected by a gravity sensor contained in the unit bearing surfaces and is used as the weight parameter information.

5. The method of claim 4, wherein obtaining location characterization information for the at least one type of item to be purchased on the bearing surface comprises:

acquiring the identifications of a plurality of unit bearing surfaces reporting the gravity information; or alternatively

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

6. A method according to any of claims 1-3, wherein said outputting said payment information comprises: and displaying the payment information or outputting the payment information in a voice mode.

7. The method for processing the article information is suitable for a server and is characterized by comprising the following steps:

receiving weight parameter information of each type of articles in at least one type of articles to be purchased and article identification information associated with the weight parameter information, wherein the at least one type of articles to be purchased are positioned on a plurality of unit bearing surfaces on a bearing surface of the weighing terminal, and each unit bearing surface bears the same type of articles;

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

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

8. The method of claim 7, wherein calculating payment information for the at least one type of items to be purchased based on the weight parameter information and the item identification information for each type of items in the at least one type of items to be purchased comprises:

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

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

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

9. The method of claim 8, wherein the weight parameter information for the at least one type of item to be purchased comprises: gravity information of at least one type of to-be-purchased article and position representation information of the at least one type of to-be-purchased article on the bearing surface;

wherein, the determining the category and the weight of each type 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 comprises:

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

determining gravity information and position representation information corresponding to each article category 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 to-be-purchased article according to the gravity information and the position characterization information corresponding to each article type, wherein the gravity information is the information detected by a gravity sensor contained in a unit bearing surface for bearing the to-be-purchased article.

10. The method of claim 9, wherein the item identification information of the at least one type of items to be purchased includes attribute information of each type of items to be purchased, the attribute information of each type of items to be purchased uniquely identifying an item category to which the type of items to be purchased belongs;

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

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 object category to which each type of object to be purchased belongs according to the attribute information of each type of object to be purchased and a preset classification model.

11. The method of claim 10, wherein the attribute information of each type of the items to be purchased is image information, profile information, or smell information;

the identifying the item category to which each type of the item to be purchased belongs according to the attribute information of each type of the item to be purchased and a preset classification model comprises the following steps:

Inputting the image information, the contour information or the smell information of each type of to-be-purchased object into the preset classification model, and acquiring class description information corresponding to the image information, the contour information or the smell information of the to-be-purchased object output by the preset classification model.

12. The method according to claim 10, wherein the method further comprises:

acquiring attribute information of a plurality of sample articles in advance, and acquiring article types of the plurality of sample articles;

and training a classification model for identifying the object types according to the attribute information of the plurality of sample objects and the object types of the plurality of sample objects.

13. The method according to any one of claims 10-12, wherein the item identification information of the at least one type of items to be purchased is an image containing each type of items to be purchased, and wherein identifying the image information of each type of items to be purchased from the item identification information of the at least one type of items to be purchased comprises:

and cutting the image to obtain sub-images corresponding to each type of to-be-purchased article.

14. The method of claim 13, wherein determining gravity information and location characterization information corresponding to each item category from the gravity information of the at least one type of item to be purchased and the location characterization information of the at least one type of item to be purchased on the bearing surface comprises:

Combining the sub-images corresponding to each type of to-be-purchased articles to determine the position representation information corresponding to the article category to which each type of to-be-purchased articles belongs;

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

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

the device comprises a bearing surface, a plurality of unit bearing surfaces and a plurality of storage units, wherein the bearing surface is used for acquiring weight parameter information of at least one type of articles to be purchased on the plurality of unit bearing surfaces on the bearing surface, and each unit bearing surface bears the same type of articles;

an information acquisition unit for acquiring article identification information of at least one type of articles to be purchased

The processor is used for sending the weight parameter information of each type of the at least one type of the to-be-purchased articles and the article identification information associated with the weight parameter information to the server through the communication component so that the server can calculate the payment information of the at least one type of the to-be-purchased articles, 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.

16. The weighing terminal according to claim 15, characterized in that said information acquisition unit comprises: visual sensors and/or odor sensors.

17. The weighing terminal of claim 15, further comprising: a display screen and/or an 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.

18. 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 in the method of any of claims 1-7.

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

the memory is used for storing a computer program;

the processor is configured to execute the computer program for:

receiving weight parameter information of each type of articles in at least one type of articles to be purchased and article identification information associated with the weight parameter information;

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

20. 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 in the method of any of claims 8-15.

21. A system for processing information of an article, comprising: weighing terminal and server;

the weighing terminal is used for responding to the article placing operation on the bearing surface of the weighing terminal, acquiring weight parameter information and article identification information of at least one type of articles to be purchased on a plurality of unit bearing surfaces on the bearing surface, wherein each unit bearing surface bears the same type of articles, correlating the weight parameter information and the article identification information of each type of articles in the at least one type of articles to be purchased and sending the correlated weight parameter information and the article identification information to the server, receiving payment information of the at least one type of articles 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 each type of articles in at least one type of articles to be purchased sent by the weighing terminal, calculating the payment information of the articles to be purchased of the at least one type of articles according to the weight parameter information and the article identification information of each type of articles in the at least one type of articles to be purchased, and returning the payment information to the weighing terminal.

22. The system according to claim 21, wherein the weighing terminal comprises an information acquisition unit for acquiring attribute information of each of the at least one type of items to be purchased as the item identification information; wherein, the attribute information of each type of article can uniquely identify the category to which the type of article belongs.

23. The system of claim 22, wherein the information acquisition unit comprises: a visual sensor and/or an odor sensor;

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

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

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

24. The system according to claim 22, characterized in that said weighing terminal is specifically adapted to: and receiving gravity information reported by a plurality of unit bearing surfaces of the plurality of unit bearing surfaces, and acquiring position representation information of the at least one type of to-be-purchased articles on the bearing surfaces, wherein the gravity information is information detected by a gravity sensor contained in the unit bearing surfaces and is used as the weight parameter information.

25. The system according to any one of claims 21-24, wherein the server is specifically configured to:

26. An apparatus, comprising:

the bearing surface comprises a plurality of sub bearing surfaces, wherein the sub bearing surfaces are suitable for bearing one type of article and detecting the quality of the article 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 comprises the quality of the article and the position representation information on the bearing surface; and

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

27. The apparatus according to claim 26, 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.

28. The apparatus as recited in claim 26, further comprising: the information acquisition component 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, receiving and transmitting data, wherein the transmitted data also comprises the article identification information;

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

29. The apparatus as recited in claim 28, further comprising: the identity recognition component is suitable for collecting user identity information through the information collection component;

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

30. 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 and the position representation information on the bearing surfaces;

the information acquisition component 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 price according to quality corresponding to the position representation information of the article and the article price information;

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

31. The apparatus as recited in claim 30, further comprising:

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

32. The apparatus as recited in claim 31, further comprising: the identity recognition component is suitable for collecting user identity information through the information collection component;

33. The device of claim 32, wherein the IO component is adapted to communicate with a server, wherein the server is adapted to verify the user identity information, and wherein the received data comprises coupon information corresponding to the user identity information;

The calculating 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.