阅读说明：本技术 商品处理方法及装置、无人货架系统 (Commodity processing method and device and unmanned goods shelf system ) 是由 陈碧泉 于 2018-06-15 设计创作，主要内容包括：本申请实施例提供了一种商品处理方法及装置、无人货架系统。所述方法包括：检测到视频监控区域中出现目标对象后,跟踪所述目标对象；获取所述目标对象在商品区域中选购的商品；向所述目标对象提供付款通道标识,以使所述目标对象根据所述付款通道标识为选购的商品付款。本实施例中采用视频监控方式可以确定选取商品后忘记付款或者恶意不付款的目标对象,方便查找或者提醒目标对象,有利于减少遗失商品的数量,从而降低提供商的损失。并且,本实施例可以根据目标对象选购的商品清单生成付款通道标识,无需目标对象下载APP,可以简化购物流程,提升购物体验。(The embodiment of the application provides a commodity processing method and device and an unmanned goods shelf system. The method comprises the following steps: tracking a target object after the target object appears in a video monitoring area; acquiring commodities of the target object bought in a commodity area; and providing a payment channel identifier for the target object so that the target object pays for the purchased commodity according to the payment channel identifier. In the embodiment, the video monitoring mode is adopted, so that the target object which is forgotten to pay or maliciously not paid after the commodity is selected can be determined, the target object is conveniently searched or reminded, the number of lost commodities is reduced, and the loss of a provider is reduced. In addition, the payment channel identifier can be generated according to the commodity list of the target object, the APP does not need to be downloaded by the target object, the shopping flow can be simplified, and the shopping experience is improved.)

1. A method of merchandise handling, the method comprising:

tracking a target object after the target object appears in a video monitoring area;

acquiring commodities of the target object bought in a commodity area;

and providing a payment channel identifier for the target object so that the target object pays for the purchased commodity according to the payment channel identifier.

2. The merchandise processing method according to claim 1, wherein acquiring the merchandise purchased by the target object in the merchandise area comprises:

identifying the number N of target objects in the monitoring area; n is a natural number;

and determining commodity information of the target objects in the commodity area according to the number N of the target objects.

3. The merchandise processing method according to claim 2, wherein determining the merchandise information of the target object bought in the merchandise area according to the number N of the target objects comprises:

if N is 1, identifying the missing commodities in the commodity area, and determining the identified commodities as the commodities selected by the target object in the commodity area;

if N is larger than 1, acquiring an overlapping area of each target object and the commodity area; and taking the commodities missing in the overlapping area as commodities purchased by each target object.

4. The merchandise processing method of claim 1, wherein after providing the target object with a payment channel identification, the method further comprises:

monitoring payment behavior of the target object;

if the payment behavior of the target object is monitored, generating a consumption record containing a normal consumption identifier;

if the payment behavior of the target object is not monitored, generating a consumption record containing an abnormal consumption identifier, and displaying the information of due payment of the unpaid goods and the payment channel identifier of the unpaid goods on a display device to remind the target object of paying.

5. The merchandise handling method of claim 4, further comprising:

acquiring consumption habits of all target objects according to consumption records of all target objects;

and recommending commodities to each target object according to the consumption habits.

6. An article handling device, the device comprising:

the target object tracking module is used for tracking the target object after the target object is detected to appear in the video monitoring area;

the selected commodity acquisition module is used for acquiring commodities selected and purchased by the target object in a commodity area;

and the payment channel providing module is used for providing a payment channel identifier for the target object so that the target object pays for the purchased commodity according to the payment channel identifier.

7. The article processing apparatus according to claim 6, wherein the purchased article acquisition module includes:

the object number identification unit is used for identifying the number N of the target objects in the monitoring area; n is a natural number;

and the selected commodity determining unit is used for determining commodity information of the target objects selected in the commodity area according to the number N of the target objects.

8. The article processing apparatus according to claim 7, wherein the purchased article determination unit includes:

a first identifying subunit, configured to identify, when N is 1, a missing commodity in the commodity area, and determine the identified commodity as a commodity bought by the target object in the commodity area;

and the second identification subunit is used for acquiring an overlapping area of each target object and the commodity area when N is larger than 1, and taking the commodities missing in the overlapping area as the commodities bought by each target object.

9. The article handling device of claim 6, further comprising:

the payment behavior monitoring module is used for monitoring the payment behavior of the target object;

the consumption record generating module is used for generating a consumption record containing a normal consumption identifier when the payment behavior of the target object is monitored; and the system is also used for generating a consumption record containing an abnormal consumption identifier when the payment behavior of the target object is not monitored, and displaying the information of due payment of the unpaid goods and the payment channel identifier of the unpaid goods on the display equipment to remind the target object of paying.

10. The article handling device of claim 9, further comprising:

the consumption habit acquisition module is used for acquiring the consumption habits of all the target objects according to the consumption records of all the target objects;

and the commodity recommending module is used for recommending commodities to the target objects according to the consumption habits.

11. An unmanned shelving system, comprising: the device comprises an image acquisition module, a display module, a processor, a communication interface, a memory and a communication bus; the image acquisition module, the display module, the processor, the communication interface and the memory complete mutual communication through the communication bus;

the image acquisition module is used for acquiring an image of a video monitoring area and sending the image to the processor;

the processor is used for detecting whether a target object appears in a video monitoring area according to the image and tracking the target object when the target object appears; acquiring commodities of the target object bought in a commodity area; providing a payment channel identifier for the target object so that the target object pays for the purchased commodity according to the payment channel identifier;

the memory is used for storing computer programs and images of the commodity area and the monitoring area.

Technical Field

The application relates to the technical field of videos, in particular to a commodity processing method and device and an unmanned goods shelf system.

Background

Existing unmanned shelves include: the first category, the enclosed shelf. A user downloads a corresponding APP or registers and the like, and selects commodities on an unmanned goods shelf or in an APP page; after payment, the unmanned shelf ejects the corresponding merchandise. However, such shelves require the user to download the APP or register before shopping, and thus the use process is cumbersome and the user experience is low.

The second category, open shelves. Such unmanned shelves are typically located in offices or aisles where there is a significant flow of people. For example, an unmanned shelf in an office is usually not locked, and a user selects a commodity by himself; after the selection is completed, the user scans the bar code through the APP to pay. If the user takes the goods and forgets to pay or does not pay maliciously, the goods are lost, and the unmanned shelf provider suffers loss.

Disclosure of Invention

The application provides a commodity processing method and device and an unmanned goods shelf system, and aims to solve the technical problems that in the related art, an APP is required to be downloaded to shop, and after a commodity is selected, payment is forgotten or malicious non-payment causes commodity loss.

In a first aspect, an embodiment of the present application provides a commodity processing method, where the method includes:

tracking a target object after the target object appears in a video monitoring area;

acquiring commodities of the target object bought in a commodity area;

and providing a payment channel identifier for the target object so that the target object pays for the purchased commodity according to the payment channel identifier.

Optionally, the acquiring the commodity selected by the target object in the commodity area includes:

identifying the number N of target objects in the monitoring area; n is a natural number;

and determining commodity information of the target objects in the commodity area according to the number N of the target objects.

Optionally, determining the commodity information of the target object bought in the commodity area according to the number N of the target objects includes:

if N is 1, identifying the missing commodities in the commodity area, and determining the identified commodities as the commodities selected by the target object in the commodity area;

if N is larger than 1, acquiring an overlapping area of each target object and the commodity area; and taking the commodities missing in the overlapping area as commodities purchased by each target object.

Optionally, after providing the payment channel identification to the target object, the method further comprises:

monitoring payment behavior of the target object;

if the payment behavior of the target object is monitored, generating a consumption record containing a normal consumption identifier;

if the payment behavior of the target object is not monitored, generating a consumption record containing an abnormal consumption identifier, and displaying the information of due payment of the unpaid goods and the payment channel identifier of the unpaid goods on a display device to remind the target object of paying.

Optionally, the method further comprises:

acquiring consumption habits of all target objects according to consumption records of all target objects;

and recommending commodities to each target object according to the consumption habits.

In a second aspect, an embodiment of the present application provides an article processing apparatus, including:

the target object tracking module is used for tracking the target object after detecting that the target object appears in the video monitoring area;

the selected commodity acquisition module is used for acquiring commodities selected and purchased by the target object in a commodity area;

and the payment channel providing module is used for providing a payment channel identifier for the target object so that the target object pays for the purchased commodity according to the payment channel identifier.

Optionally, the shopping cart obtaining module includes:

the object number identification unit is used for identifying the number N of the target objects in the monitoring area; n is a natural number;

and the selected commodity determining unit is used for determining commodity information of the target objects selected in the commodity area according to the number N of the target objects.

Optionally, the shopping item determination unit includes:

a first identifying subunit, configured to identify, when N is 1, a missing commodity in the commodity area, and determine the identified commodity as a commodity bought by the target object in the commodity area;

and the second identification subunit is used for acquiring an overlapping area of each target object and the commodity area when N is larger than 1, and taking the commodities missing in the overlapping area as the commodities bought by each target object.

Optionally, the apparatus further comprises:

the payment behavior monitoring module is used for monitoring the payment behavior of the target object;

the consumption record generating module is used for generating a consumption record containing a normal consumption identifier when the payment behavior of the target object is monitored; and the system is also used for generating a consumption record containing an abnormal consumption identifier when the payment behavior of the target object is not monitored, and displaying the information of due payment of the unpaid goods and the payment channel identifier of the unpaid goods on the display equipment to remind the target object of paying.

Optionally, the apparatus further comprises:

the consumption habit acquisition module is used for acquiring the consumption habits of all the target objects according to the consumption records of all the target objects;

and the commodity recommending module is used for recommending commodities to the target objects according to the consumption habits.

In a third aspect, an embodiment of the present application provides an unmanned shelf system, including: the device comprises an image acquisition module, a display module, a processor, a communication interface, a memory and a communication bus; the image acquisition module, the display module, the processor, the communication interface and the memory complete mutual communication through the communication bus;

the image acquisition module is used for acquiring an image of a video monitoring area and sending the image to the processor;

the processor is used for detecting whether a target object appears in a video monitoring area according to the image and tracking the target object when the target object appears; acquiring commodities of the target object bought in a commodity area; providing a payment channel identifier for the target object so that the target object pays for the purchased commodity according to the payment channel identifier;

the memory is used for storing computer programs and images of the commodity area and the monitoring area.

The technical scheme provided by the embodiment of the application can have the following beneficial effects:

therefore, in the embodiment of the application, the target object appearing in the video monitoring area is tracked, and then the commodity selected by the target object in the commodity area is obtained; and finally, providing a payment channel identifier for the target object so that the target object pays for the purchased commodity according to the payment channel identifier. Therefore, in the embodiment, the video monitoring mode is adopted, so that the target object which is forgotten to pay or maliciously not paid after the commodity is selected can be determined, the target object is conveniently searched or reminded, the number of lost commodities is reduced, and the loss of a provider is reduced. In addition, the payment channel identifier can be generated according to the commodity list of the target object, the APP does not need to be downloaded by the target object, the shopping flow can be simplified, and the shopping experience is improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.

FIG. 1 is a flow diagram illustrating a method of merchandise handling according to an exemplary embodiment;

FIG. 2 is a diagram illustrating an application scenario in accordance with an illustrative embodiment;

FIG. 3 is a flow diagram illustrating a method of merchandise handling according to another exemplary embodiment;

FIG. 4 is a diagram illustrating an application scenario in accordance with an illustrative embodiment;

FIGS. 5-9 are block diagrams of an article handling device according to an exemplary embodiment;

FIG. 10 is a block diagram illustrating an unmanned shelving system, according to an exemplary embodiment.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of devices consistent with certain aspects of the present application, as detailed in the appended claims.

Existing unmanned shelves are capable of providing merchandise to a target object (e.g., a user) without the target object seeking a physical store. However, the main two existing types of unmanned shelves require the target object to download the APP, scan the goods or pay for the goods with the APP. For an open type unmanned shelf, the situation that a part of target objects forget to pay or maliciously do not pay after selecting commodities exists, so that the unmanned shelf loses the commodities and the unmanned shelf provider suffers loss.

In order to solve the above problem, an embodiment of the present application provides a commodity processing method, and fig. 1 is a schematic flow chart of a commodity processing method according to an exemplary embodiment. In order to implement the commodity processing method provided by this embodiment, an image acquisition module may be set at a preset position of the unmanned shelf. The image acquisition module can comprise a camera, a camera and other equipment, and the view range of the image acquisition module covers the front area of the target object close to the unmanned shelf and the commodity area of the unmanned shelf (hereinafter referred to as a video monitoring area). Therefore, the image acquisition module can acquire images in the video monitoring area in real time or according to a set period (which can be set according to scenes). It can be understood that the above commodity processing method can be executed by a processor in the image acquisition module, a processor in the unmanned shelf, and a processor in the display module in the unmanned shelf, and the embodiment of the present application is not limited. For convenience of explanation, the above-described method is described in the embodiment of the present application with a processor provided in an unmanned aerial vehicle as an execution subject. Referring to fig. 1, a commodity processing method includes:

101, tracking a target object after detecting the target object in the video monitoring area.

In this embodiment, the image capturing module may capture an image in the video monitoring area in real time or according to a set period (which may be set according to a scene), and send the image to the processor. The processor processes each frame of image by using a preset image processing algorithm to achieve the purpose of detecting whether a target object appears in a video monitoring area.

It is to be understood that the above-mentioned image processing algorithm can be implemented by using an algorithm in the related art, and is not limited herein.

And in the video monitoring area, the processor discards the currently processed target object and continues to process subsequent images until the target object is detected to appear in the video monitoring area.

After the target object is detected to appear in the video monitoring area, the processor continues to process subsequent images, compares the change condition of the target object in each frame of image, determines whether the target object moves towards the unmanned goods shelf or moves away from the unmanned goods shelf, and achieves the purpose of tracking the target object by determining the position relation of the target object and the unmanned goods shelf.

And 102, acquiring the commodities of the target object bought in the commodity area.

In this embodiment, the processor obtains the commodities purchased by the target object in the commodity area according to the number N of the target objects in the monitoring area; n is a natural number.

If N is 1, the processor identifies the missing items in the item area. For example, in the process of tracking the target object, the processor selects one frame of image before the target object enters the commodity area and one frame of image after the target object leaves the commodity area from the images, compares and analyzes the two frames of images, and the processor can identify the commodities missing in the commodity area and then determine the identified commodities as the commodities bought by the target object in the commodity area.

If N is greater than 1, if two images of the product area are also directly compared, which products are not selected for each target object in the area. Therefore, the processor in the present embodiment acquires the overlapping area of each target object and the commodity area. Referring to fig. 2, after the target object 12 enters the video monitoring area 11, a commodity is selected, a part of the commodity is blocked by the limbs of the target object 12, and an area blocked by the limbs of the target object 12 in the commodity area 13 is used as an overlapping area 14 of the target object 12 and the commodity area 13.

The processor may process the image by using an image processing algorithm in the related art, such as binarization, erosion, dilation, and the like, to obtain an edge line of the overlapping area. After each image is superimposed on the edge line, the area inside the edge line is used as the superimposed area of each image.

Since the positions of the target objects are different and the purchased products may be different, the overlapping areas of the target objects are different. Even if the goods are purchased in the same way, the obtained overlapping areas are different because the relative angles of the limbs of the target objects and the image acquisition module are different, so that the one-to-one correspondence relationship between the target objects and the overlapping areas can be ensured.

Then, the processor selects one frame of image before the target object enters the commodity area and one frame of image after the target object leaves the commodity area from the images, and compares and analyzes the images in the overlapping area of the two frames of images, so that the commodities which are missing in the overlapping area can be identified. For example, before the target object a purchases a commodity, there are a commodity a, a commodity b, and a commodity c in the overlapping area; after the target object a purchases the commodity, the superposed region has the commodity a and the commodity b, and the comparison analysis can obtain that the commodity missing in the superposed region is the commodity c, that is, the processor can determine that the target object a purchases the commodity c. The determination method of the other target objects for purchasing the commodities is the same as the scheme, and is not described herein again.

As can be seen, in the embodiment, different processing manners are adopted for different numbers of target objects, so that the accuracy of purchasing commodities by the determined target objects can be improved. Meanwhile, the embodiment also doubles the calculated amount of the processor, and ensures the real-time performance.

103, providing a payment channel identifier for the target object so that the target object pays for the purchased goods according to the payment channel identifier

In this embodiment, the processor provides the payment channel identifier to the corresponding target object according to the purchased commodity of each target object. The payment channel identification can be two-dimensional codes, bar codes and the like, and the user can pay for the purchased commodities by scanning the payment channel identification through a possible terminal. The payment channel identifier can be a link, a user can enter a payment page by clicking the link, and the selected commodities are paid on the payment page.

In one embodiment, the processor may first determine whether the target object has completed purchasing the item. For example, the processor starts counting each time the commodity is purchased, and when the counted time does not exceed the set threshold, the processor restarts counting when the target commodity is detected again. When the timed time exceeds the set threshold, the processor may determine that the target object completes purchasing the commodity. The set threshold may be 30s, 1min or longer, and may be set according to a specific scene.

Then, the processor counts a list of the commodities bought by each target object, wherein the list can comprise: name, quantity, unit price, total price, discount and the like of each commodity. The processor then generates a payment channel identifier from the inventory. Thus, the target object can utilize the terminal to scan the payment channel identifier to pay for the purchased commodity.

In another embodiment, each time the shopping is completed, the processor may determine that the target object completes the shopping, and at the same time, count the list of the target object shopping, and generate the payment channel identifier. And when the target object is detected to purchase the commodities again, updating the list and updating the payment channel identifier at the same time.

In yet another embodiment, a "buy" button may be provided on the unmanned shelf, such as a virtual button in the display module or a physical button on the unmanned shelf. The processor counts the list of the commodities selected by the corresponding target object when detecting that the 'purchase' button is triggered. It can be understood that, in this embodiment, the target object triggering the "purchase" button may be determined in an image processing manner, and reference may be made to a scheme of determining the target object to purchase the commodity, which is not described herein again. Of course, in this embodiment, each target object of the purchased goods may be alternately displayed on the list, and the target object may be directly determined when the currently displayed list is triggered. The skilled person can select different schemes according to specific scenarios, and the application is not limited.

Therefore, in the embodiment, the video monitoring mode is adopted, so that the target object which is forgotten to pay or maliciously not paid after the commodity is selected can be determined, the target object is conveniently searched or reminded, the number of lost commodities is reduced, and the loss of a provider is reduced. In addition, the payment channel identifier can be generated according to the commodity list of the target object, the APP does not need to be downloaded by the target object, the shopping flow can be simplified, and the shopping experience is improved.

An embodiment of the present application further provides a commodity processing method, and fig. 3 is a flowchart illustrating a commodity processing method according to another exemplary embodiment. Referring to fig. 3, a commodity processing method includes:

301, after detecting that a target object appears in a video monitoring area, tracking the target object.

The specific method and principle of step 301 and step 101 are the same, please refer to fig. 1 and related contents of step 101 for detailed description, which is not repeated herein.

And 302, acquiring the commodity bought by the target object in the commodity area.

The specific method and principle of step 302 and step 102 are the same, and please refer to fig. 1 and the related contents of step 102 for detailed description, which is not repeated herein.

303, providing a payment channel identifier to the target object, so that the target object pays for the purchased goods according to the payment channel identifier.

The specific method and principle of step 303 and step 103 are the same, and please refer to fig. 1 and related contents of step 103 for detailed description, which is not described herein again.

304, monitoring payment behavior of the target object; if the payment behavior of the target object is monitored, generating a consumption record containing a normal consumption identifier (corresponding to step 305); if the payment behavior of the target object is not monitored, a consumption record containing an abnormal consumption identifier is generated, and the information of due payment of the unpaid goods and the payment channel identifier of the unpaid goods are displayed on the display device to remind the target object of paying (corresponding to step 306), and the display effect is as shown in fig. 4.

In this embodiment, the processor generates consumption records containing different consumption identifications according to the payment behavior of the target object. For example, when the processor monitors the payment behavior of the target object, it generates a consumption record containing the normal consumption identification. If the processor does not monitor the payment behavior of the target object, the processor generates a consumption record containing the abnormal consumption identifier, and displays the information of due payment of the unpaid goods and the payment channel identifier of the unpaid goods on the display device to remind the target object of paying.

In an embodiment, after it is monitored that a target object enters a video monitoring area, a processor may obtain a consumption record of the target object, count consumption habits of the target object, such as favorite commodities, similar commodities, commodity characteristics, and the like, by using a big data mode, recommend commodities to the target object according to consumption of the target object, and the recommendation mode may be displayed to the target object by a display module or remind the target object through an indicator light of each commodity. Like this, can help target object to choose commodity fast in this embodiment, promote target object's shopping experience.

In another embodiment, after it is monitored that the target object enters the video monitoring area, the processor may obtain a consumption record of the target object, and determine whether there is a consumption record containing an abnormal consumption identifier. If the payment is available, the information of the payment due of the unpaid commodity and the payment channel identification of the unpaid commodity are displayed on the display equipment, the target object is reminded of paying, and the reminding party can be light stroboscopic and sound prompt. Therefore, the provider can be helped to search or remind the target object to pay for the shopping money, the number of lost commodities is reduced, and the loss of the provider is reduced.

In yet another embodiment, the processor may further obtain consumption records of each target object within a set time period, and then statistically analyze all consumption records and generate guidance suggestions for delivery of the goods. For example, the consumption amount of each product in the set time period is sorted, the matching combination of different products, the increase or decrease of the product amount, the sale delay of the product, the shortage of the product, and the like. Therefore, the embodiment can guide the provider to provide differentiated services for the target objects in different areas through the guidance suggestions, and the shopping experience of the target objects is improved.

An embodiment of the present application further provides an article processing apparatus, and fig. 5 is a block diagram illustrating an article processing apparatus according to an exemplary embodiment. Referring to fig. 5, an article handling device 500 comprises:

the target object tracking module 501 is configured to track a target object after detecting that the target object appears in a video monitoring area;

a purchased commodity obtaining module 502, configured to obtain a commodity purchased by the target object in a commodity area;

a payment channel providing module 503, configured to provide a payment channel identifier to the target object, so that the target object pays for the purchased goods according to the payment channel identifier.

FIG. 6 is a block diagram illustrating an article handling device according to an example embodiment. Referring to fig. 6, on the basis of the article processing apparatus shown in fig. 5, the purchased article acquiring module 502 includes:

an object number identification unit 601, configured to identify the number N of target objects in the monitored area; n is a natural number;

a purchased commodity determining unit 602, configured to determine commodity information of the target object purchased in the commodity area according to the number N of the target objects.

FIG. 7 is a block diagram illustrating an article handling device according to an example embodiment. Referring to fig. 7, in addition to the article processing apparatus shown in fig. 6, the purchased article determination unit 602 includes:

a first identifying subunit 701, configured to identify, when N is 1, a missing product in the product area, and determine the identified product as a product that is purchased in the product area by the target object;

a second identifying subunit 702, configured to, when N is greater than 1, obtain an overlapping area between each target object and the commodity area, and use a commodity missing in the overlapping area as a commodity purchased from each target object.

FIG. 8 is a block diagram illustrating an article handling device according to an example embodiment. Referring to fig. 8, in addition to the article handling device shown in fig. 5, an article handling device 500 further includes:

a payment behavior monitoring module 801, configured to monitor a payment behavior of the target object;

a consumption record generating module 802, configured to generate a consumption record containing a normal consumption identifier when the payment behavior of the target object is monitored; and the system is also used for generating a consumption record containing an abnormal consumption identifier when the payment behavior of the target object is not monitored, and displaying the information of due payment of the unpaid goods and the payment channel identifier of the unpaid goods on the display equipment to remind the target object of paying.

FIG. 9 is a block diagram illustrating an article handling device according to an example embodiment. Referring to fig. 9, in addition to the article handling device shown in fig. 8, an article handling device 500 further includes:

a consumption habit obtaining module 901, configured to obtain consumption habits of each target object according to the consumption record of each target object;

and a commodity recommending module 902, configured to recommend commodities to the target objects according to the consumption habits.

It can be understood that the commodity processing apparatus and the commodity processing method provided in the embodiments of the present application correspond to each other, and specific contents may refer to contents of each embodiment of the commodity processing method, and are not described herein again.

An unmanned shelf system is also provided in an embodiment of the present application, and fig. 10 is a block diagram illustrating an unmanned shelf system according to an exemplary embodiment. Referring to fig. 10, an unmanned shelving system 1000 includes: a processor 1001, a memory 1002, an image capture module 1003, a display module 1004, a communication interface 1005, and a communication bus 1006. The processor 1001, the memory 1002, the image acquisition module 1003, the display module 1004 and the communication interface 1005 complete mutual communication through a communication bus 1006;

the image capture module 1003 is configured to obtain an image of the video monitoring area, and send the image to the processor 1001.

The processor 1001 is configured to detect whether a target object appears in a video monitoring area according to an image, and track the target object when the target object appears; acquiring commodities of the target object bought in a commodity area; and providing a payment channel identifier for the target object so that the target object pays for the purchased commodity according to the payment channel identifier.

The memory 1002 is used for storing computer programs and images of the commodity area and the video monitoring area.

The image acquisition module can comprise a camera, a driving circuit or a camera and other equipment with the image acquisition function. The image acquisition module can be arranged at the top, the upper left corner (or the upper right corner) and other positions of the unmanned goods shelf, and the viewing area of the image acquisition module can cover the area where goods are located and the standing area of a target object.

The display module can include equipment that has the display function such as liquid crystal display, LED screen. This display module assembly can install at the top of unmanned goods shelves, makes display screen and target object's sight parallel and level basically among the display module assembly, has better shopping experience.

Therefore, in the embodiment, the image acquisition module is arranged in the unmanned goods shelf system, the image acquisition module acquires images of the video monitoring area, the processor tracks the target objects and goods purchased by the target objects according to the images, and finally, the payment channel identifiers are provided for the target objects. By adopting the video monitoring mode in the embodiment, the target object which is forgotten to pay or maliciously not paid after the commodity is selected can be determined, the target object is conveniently searched or reminded, the number of lost commodities is reduced, and therefore the loss of a provider is reduced. In addition, the payment channel identifier can be generated according to the commodity list of the target object, the APP does not need to be downloaded by the target object, the shopping flow can be simplified, and the shopping experience is improved.

Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.

It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.