WO2019205761A1

WO2019205761A1 - Intelligent device, inventory taking method, device and apparatus

Info

Publication number: WO2019205761A1
Application number: PCT/CN2019/073836
Authority: WO
Inventors: 孙健康; 郑梦雪; 黄凯明
Original assignee: 阿里巴巴集团控股有限公司
Priority date: 2018-04-25
Filing date: 2019-01-30
Publication date: 2019-10-31
Also published as: CN108846449B; TW201945995A; CN108846449A

Abstract

An intelligent device, an inventory taking method, device and apparatus. The solution comprises: capturing an image of a shelf to locate a goods label and scan a code thereof using an intelligent device that is movable, capable of capturing an image, scanning a code and using a visual recognition service, locating corresponding goods and capturing an image thereof, and identifying the quantity of the goods according to the obtained goods image using the visual recognition service so as to complete the inventory taking automatically.

Description

Smart device, commodity inventory method, device and device

Cross-reference to related applications

The present application claims priority to Chinese Patent Application No. 20,181,037, 764, filed on Apr. 25, 20, the entire disclosure of which is incorporated herein by reference. The way is incorporated in this article.

Technical field

The present specification relates to the field of computer software technologies, and in particular, to a smart device, a commodity inventory method, device and device.

Background technique

Offline retail stores are clearing the merchandise inventory details of merchants. It is often necessary to conduct commodity inventory at regular intervals so that the actual quantity of inventory merchandise can be checked against the quantity recorded on the custodial account to more accurately grasp the inventory situation.

In the prior art, based on manual inventory, it is necessary for a person to manually inventory the items on the shelf by hand.

Based on the prior art, a more efficient commodity inventory solution is needed.

Summary of the invention

The embodiment of the present specification provides a smart device, a commodity inventory method, a device, and a device, to solve the following technical problem: a more efficient commodity inventory solution is needed.

In order to solve the above technical problem, the embodiment of the present specification is implemented as follows:

A smart device provided by an embodiment of the present disclosure includes: a device body, a controller located on the device body, a camera, a scanner, and a power device capable of driving the device body to move;

The controller controls the camera to image the shelf to obtain a first image; according to the first image, locate a position of the product label on the shelf; according to the position, control the power device to drive the device body Adjacent to the product label; controlling the scanner to scan the product label to obtain product information; controlling the camera to image an item on the shelf to obtain a second image; the product information and the second image Used for further analytical processing.

A commodity inventory method based on the above smart device provided by the embodiment of the present specification includes:

The smart device images the shelf to obtain a first image;

Positioning a product label on the shelf according to the first image;

According to the location, close to the product label;

Scanning the product label to obtain product information;

Imaging the goods on the shelf to obtain a second image;

And transmitting the commodity information and the second image to the server, so that the server visually recognizes the quantity of the commodity according to the second image, and performs inventory according to the commodity information and the quantity of the commodity.

A commodity inventory device provided by an embodiment of the present specification includes:

a first camera module that images the shelf to obtain a first image;

a positioning module, according to the first image, positioning a position of the product label on the shelf;

Position moving module, according to the position, bringing the device close to the product label;

Scanning module, scanning the product label to obtain product information;

a second camera module that images an item on the shelf to obtain a second image;

a sending module, configured to send the commodity information and the second image to a server, so that the server visually recognizes the quantity of the commodity according to the second image, and performs inventory according to the commodity information and the quantity of the commodity .

At least one processor; and,

a memory communicatively coupled to the at least one processor; wherein

The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to:

Camera on the shelf to get the first image;

Positioning a product label on the shelf according to the first image;

According to the location, close to the product label;

Scanning the product label to obtain product information;

Imaging the goods on the shelf to obtain a second image;

The above at least one technical solution adopted by the embodiments of the present specification can achieve the following beneficial effects: the reliance on labor can be reduced, and the commodity inventory can be performed automatically and efficiently.

DRAWINGS

In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings to be used in the embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are only It is a few embodiments described in the present specification, and other drawings can be obtained from those skilled in the art without any creative work.

FIG. 1 is a schematic diagram of the overall principle of the solution of the present specification in a practical application scenario;

2 is a schematic structural diagram of a smart device according to an embodiment of the present disclosure;

FIG. 3 is a schematic flowchart diagram of a commodity inventory method based on the foregoing smart device according to an embodiment of the present disclosure;

FIG. 4 is a schematic diagram of a specific implementation manner of the foregoing commodity inventory method in an actual application scenario according to an embodiment of the present disclosure;

FIG. 5 is a schematic structural diagram of a commodity inventory apparatus corresponding to FIG. 3 according to an embodiment of the present specification.

detailed description

The embodiments of the present specification provide a smart device, a commodity inventory method, device, and device.

In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the specification. The embodiments are only a part of the embodiments of the present application, and not all of them. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present specification without departing from the inventive scope shall fall within the scope of the application.

In practical applications, it takes time and effort to carry out commodity inventory by manual means. In the process of commodity inventory, the most troublesome is often to confirm the actual situation of inventory. Therefore, the scheme of this specification considers at least this step to be automated. To this end, the solution of the present specification provides a smart device that is movable, recordable, scannable, visually identifiable, and a product label for determining the location of the product and providing the product information in a graphic code, and The use of visual recognition technology enables automated confirmation of inventory realities to help increase inventory efficiency.

FIG. 1 is a schematic diagram of the overall principle of the solution of the present specification in a practical application scenario. It can be seen that the smart device can move in the shelf area, and images the shelf to locate the product label on the shelf, and then scans the graphic code on the product label to obtain the product information, and images the product, and further, the smart device can utilize itself. The visual recognition service provided by the module or other device identifies the number of items in the image of the product obtained by the camera.

The scheme of the present specification will be described below mainly based on the above principles.

FIG. 2 is a schematic structural diagram of a smart device according to an embodiment of the present disclosure. In FIG. 2, the smart device mainly includes an apparatus main body 11, a controller 12 located on the apparatus main body 11, a camera 13, a scanner 14, and a power unit 15 capable of driving the apparatus main body 11 to move. The smart device can be applied to the confirmation and analysis of the goods in the library, for example, counting goods, detecting product items, registering product images, and the like. In addition to the above-described components, the smart device includes, for example, other components such as the navigation module 16.

The working area of the smart device includes, but is not limited to, a commodity storehouse, a merchandise store, and the like that carry the merchandise on the shelf and have corresponding merchandise tags with graphic codes. The product label can be in electronic or non-electronic form, for example in electronic form, such as an Electronic Shelf Label (ESL). The electronic shelf label is an electronic display device with information transmission and reception function, which is mainly used in supermarkets, convenience stores, prescriptions, etc. to display product information such as price and name, and is placed on the shelf to replace the traditional paper label, each electronic The shelf label is connected to a computer database via a wired or wireless network and displays the latest product information.

One workflow of the smart device in Figure 2 includes the following steps:

The controller 12 controls the camera 13 to image the shelf to obtain a first image; according to the first image, locates the position of the product label on the shelf; according to the position, the control power device 15 drives the device body 11 to approach the product a label; the control scanner 14 scans the product label to obtain product information; the control camera 13 images the product on the shelf to obtain a second image; the product information and the second image are used for further analysis and processing, For example, the second image is visually recognized, and the commodity information is counted in combination with the commodity information.

The present specification does not limit the shape of the apparatus main body 11, and its shape is at least adapted to the manner of its movement. The manner in which the apparatus body 11 is moved can be varied. For example, moving on the ground by means of wheels or tracks; for example, modifying the shelf or other brackets in advance to provide a track for the device body 11 for the device body 11 to move on the track; for example, if the device body 11 is With flying devices (such as drone-based smart devices, etc.), you can fly in the air; and so on.

In the embodiment of the present specification, if the product label includes an electronic shelf label displaying a graphic code corresponding to the product, the scanner 14 scans the product label, and specifically includes: the scanner 14 scans the electronic shelf label display Corresponds to the graphic code of the product.

In addition, in practical applications, the scanner may not need to rely on the graphic code to obtain product information. For example, the scanner uses Optical Character Recognition (OCR) technology to identify the product name or model number on the product label, and then query for other information of the product. In this case, the product code may not display the graphic code. .

In the embodiment of the present specification, since the product label is generally close to the corresponding product, the position of the product label is determined, that is, the position of the product corresponding to the product label is basically determined. The camera 13 can image the merchandise on the shelf generally in the process of the device body 11 approaching the merchandise label. The specific strategy can be configured according to the actual situation. For example, for a small product, it can be photographed relatively closer to the product label, and for a large product, it can be photographed when it is relatively far from the product label. Of course, in order to accurately capture the product on the shelf corresponding to the product label, the distance and angle between the device body 11 and the product label during the image capturing can be intelligently adjusted. For example, the product label can be close to the product label and succeeded from the product label. After reading the product information, the camera is photographed in the same place, or further close to or appropriately away from the product label, so as to be photographed at an appropriate position and angle, such as including the relative size and relative position of the shelves or products in the frame of the camera 13 .

In the embodiment of the present specification, the commodity information and the second image may be sent by the smart device to the server, and further analyzed and processed by the server. Alternatively, if the smart device function is sufficiently powerful, the smart device may further analyze and process the product information and the second image without relying on the server.

Based on the same idea, the embodiment of the present specification further provides a schematic flowchart of a commodity inventory method based on the foregoing smart device, where the flow is performed by the smart device, and the smart device is mainly responsible for collecting commodity information and a second image by the server. The product information and the second image are further analyzed and processed.

The process in Figure 3 can include the following steps:

S302: The smart device images the shelf to obtain a first image.

S304: Locating a position of the product label on the shelf according to the first image.

S306: Adjacent to the product label according to the location.

S308: Scan the product label to obtain product information.

S310: Camera the product on the shelf to obtain a second image.

S312: Send the commodity information and the second image to a server, so that the server visually recognizes the quantity of the commodity according to the second image, and performs inventory according to the commodity information and the quantity of the commodity. The visual recognition algorithm used is not specifically limited herein, and the existing visual recognition algorithm can be selected. The inventory includes, for example, updating the inventory information of the product, and checking the sales of the product.

According to the method of FIG. 3, it is possible to reduce the dependency on labor and perform commodity inventory automatically and efficiently.

In the embodiment of the present specification, in order to improve the reliability of the solution, manual assistance can also be applied. For example, if the number of visually recognized items fails or the recognition result is obviously unreasonable, the number of items is manually re-identified to obtain an accurate recognition result.

In the embodiment of the present specification, as mentioned above, the smart device may further have a navigation module, and the navigation module is used to help the smart device move more reasonably in the shelf area to be counted, thereby helping the smart device to be more comprehensive and accurate. Collect product information and second image. In this case, for the step S302, the smart device photographing the shelf may specifically include: the smart device automatically navigating the shelf area to be counted, determining a navigation line; and following the navigation line in the shelf area. Move in and take pictures of nearby shelves.

In the embodiment of the present specification, the server may have multiple divisions of labor to work together, and multiple services may be divided for the work in the solution. For example, the server may include a first server that provides a product visual identity service, and a second server that provides a product inventory management service. Then, in step S312, the smart device may only send the product information and the second image to the first server; And the server, according to the second image, visually identifying the quantity of the product, and performing the inventory according to the product information and the quantity of the commodity, where the server may include: the first server receiving the The product information and the second image, according to the second image, visually identifying the quantity of the product, and transmitting the item information and the quantity of the item to the second server; the second server is based on the item information Check the quantity of the goods. It should be noted that in practical applications, visual recognition and inventory can also be performed by the same server.

According to the above description, more specifically, the embodiment of the present specification further provides a schematic diagram of a specific implementation manner of the above-mentioned commodity inventory method in an actual application scenario, as shown in FIG. 4 . In this practical application scenario, the smart device can move on the ground by wheels, and the camera and scanner are located at the top of the device body. At work, the smart device first automatically navigates the shelf area of the inventory, then moves according to the navigation line, and images the nearby shelves, according to the shelf image, visually identifies the location of the product label, close to the product label, and labels the product. The displayed graphic code scan code reads the product information, and captures the product corresponding to the product label, and uploads the product information and the image of the product obtained by the imaging to the first server that provides the product visual recognition service, and the first server identifies the product from the product image. The quantity, the product information and the quantity of the goods are sent to the second server providing the commodity inventory management service, and the second server performs the commodity inventory management according to the received information.

Based on the same idea, the embodiment of the present specification further provides a device corresponding to the foregoing method, as shown in FIG. 5.

FIG. 5 is a schematic structural diagram of a commodity inventory apparatus corresponding to FIG. 3 according to an embodiment of the present disclosure, and a dotted line box indicates an optional module, and the apparatus includes:

The first camera module 501 captures the shelf to obtain a first image;

The positioning module 502 is configured to locate a position of the product label on the shelf according to the first image;

a position moving module 503, according to the position, bringing the device close to the product label;

The scanning module 504 scans the product label to obtain product information;

The second camera module 505 captures the product on the shelf to obtain a second image;

The sending module 506, the product information and the second image are sent to the server, so that the server visually recognizes the quantity of the product according to the second image, and performs according to the product information and the quantity of the product. inventory.

Optionally, the device further includes a navigation module 507;

The first camera module 501 captures the shelf, and specifically includes:

The navigation module 507 automatically navigates to the shelf area to be counted, and determines a navigation line. The location moving module 503 moves the device in the shelf area according to the navigation line, and the first camera module 501 is nearby. Shelf camera.

Based on the same idea, the embodiment of the present specification further provides a device corresponding to the above method and a non-volatile computer storage medium.

A commodity inventory device corresponding to FIG. 3 provided by the embodiment of the present specification includes:

At least one processor; and,

a memory communicatively coupled to the at least one processor; wherein

Camera on the shelf to get the first image;

Positioning a product label on the shelf according to the first image;

According to the location, close to the product label;

Scanning the product label to obtain product information;

Imaging the goods on the shelf to obtain a second image;

A non-volatile computer storage medium corresponding to FIG. 3 provided by the embodiment of the present specification stores computer executable instructions, and the computer executable instructions are set as:

Camera on the shelf to get the first image;

Positioning a product label on the shelf according to the first image;

According to the location, close to the product label;

Scanning the product label to obtain product information;

Imaging the goods on the shelf to obtain a second image;

The foregoing description of the specific embodiments of the specification has been described. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than the embodiments and still achieve the desired results. In addition, the processes depicted in the figures are not necessarily in a particular order or in a sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

The various embodiments in the specification are described in a progressive manner, and the same or similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for a device, device, non-volatile computer storage medium embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment.

The device, the device, the non-volatile computer storage medium and the method provided by the embodiments of the present specification are corresponding, and therefore, the device, the device, and the non-volatile computer storage medium also have similar beneficial technical effects as the corresponding method, since The beneficial technical effects of the method are described in detail, and therefore, the beneficial technical effects of the corresponding device, device, and non-volatile computer storage medium are not described herein.

In the 1990s, improvements to a technology could clearly distinguish between hardware improvements (eg, improvements to circuit structures such as diodes, transistors, switches, etc.) or software improvements (for process flow improvements). However, as technology advances, many of today's method flow improvements can be seen as direct improvements in hardware circuit architecture. Designers almost always get the corresponding hardware circuit structure by programming the improved method flow into the hardware circuit. Therefore, it cannot be said that the improvement of a method flow cannot be implemented by hardware entity modules. For example, a Programmable Logic Device (PLD) (such as a Field Programmable Gate Array (FPGA)) is an integrated circuit whose logic function is determined by the user programming the device. Designers program themselves to "integrate" a digital system on a single PLD without having to ask the chip manufacturer to design and fabricate a dedicated integrated circuit chip. Moreover, today, instead of manually making integrated circuit chips, this programming is mostly implemented using "logic compiler" software, which is similar to the software compiler used in programming development, but before compiling The original code has to be written in a specific programming language. This is called the Hardware Description Language (HDL). HDL is not the only one, but there are many kinds, such as ABEL (Advanced Boolean Expression Language). AHDL (Altera Hardware Description Language), Confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), Lava, Lola, MyHDL, PALASM, RHDL (Ruby Hardware Description Language), etc., are currently the most commonly used VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog. It should also be apparent to those skilled in the art that the hardware flow for implementing the logic method flow can be easily obtained by simply programming the method flow into the integrated circuit with a few hardware description languages.

The controller can be implemented in any suitable manner, for example, the controller can take the form of, for example, a microprocessor or processor and a computer readable medium storing computer readable program code (eg, software or firmware) executable by the (micro)processor. In the form of logic gates, switches, application specific integrated circuits (ASICs), programmable logic controllers, and embedded microcontrollers, examples of controllers include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, The Microchip PIC18F26K20 and the Silicone Labs C8051F320, the memory controller can also be implemented as part of the memory's control logic. Those skilled in the art will also appreciate that in addition to implementing the controller in purely computer readable program code, the controller can be logically programmed by means of logic gates, switches, ASICs, programmable logic controllers, and embedding. The form of a microcontroller or the like to achieve the same function. Such a controller can therefore be considered a hardware component, and the means for implementing various functions included therein can also be considered as a structure within the hardware component. Or even a device for implementing various functions can be considered as a software module that can be both a method of implementation and a structure within a hardware component.

The system, device, module or unit illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product having a certain function. A typical implementation device is a computer. Specifically, the computer can be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or A combination of any of these devices.

For the convenience of description, the above devices are described separately by function into various units. Of course, the functions of the various units may be implemented in one or more software and/or hardware in the implementation of the present specification.

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

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

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

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

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include non-persistent memory, random access memory (RAM), and/or non-volatile memory in a computer readable medium, such as read only memory (ROM) or flash memory. Memory is an example of a computer readable medium.

Computer readable media includes both permanent and non-persistent, removable and non-removable media. Information storage can be implemented by any method or technology. The information can be computer readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory. (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, Magnetic tape cartridges, magnetic tape storage or other magnetic storage devices or any other non-transportable media can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary storage of computer readable media, such as modulated data signals and carrier waves.

It is also to be understood that the terms "comprises" or "comprising" or "comprising" or any other variations are intended to encompass a non-exclusive inclusion, such that a process, method, article, Other elements not explicitly listed, or elements that are inherent to such a process, method, commodity, or equipment. An element defined by the phrase "comprising a ..." does not exclude the presence of additional equivalent elements in the process, method, item, or device including the element.

Those skilled in the art will appreciate that embodiments of the present description can be provided as a method, system, or computer program product. Accordingly, the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment in combination of software and hardware. Moreover, the description 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.) including computer usable program code.

This description can be described in the general context of computer-executable instructions executed by a computer, such as a program module. Generally, program modules include routines, programs, objects, components, data structures, and the like that perform particular tasks or implement particular abstract data types. The present specification can also be practiced in distributed computing environments where tasks are performed by remote processing devices that are connected through a communication network. In a distributed computing environment, program modules can be located in both local and remote computer storage media including storage devices.

The various embodiments in the specification are described in a progressive manner, and the same or similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment.

The above description is only for the embodiments of the present specification, and is not intended to limit the application. Various changes and modifications can be made to the present application by those skilled in the art. Any modifications, equivalents, improvements, etc. made within the spirit and scope of the present application are intended to be included within the scope of the appended claims.

Claims

A smart device comprising: a device body, a controller located on the device body, a camera, a scanner, and a power device capable of driving the device body to move;

The controller controls the camera to image the shelf to obtain a first image; according to the first image, locate a position of the product label on the shelf; according to the position, control the power device to drive the device body Adjacent to the product label; controlling the scanner to scan the product label to obtain product information; controlling the camera to image an item on the shelf to obtain a second image; the product information and the second image Used for further analytical processing.
The smart device of claim 1, wherein the device body moves, specifically comprising:

The device body moves on the ground; or,

The device body moves on a track provided by the shelf or other bracket; or

The device body moves in the air.
The smart device according to claim 1, wherein the product label comprises an electronic shelf label displaying a graphic code corresponding to the product;

The scanner scans the product label, and specifically includes:

The scanner scans the graphic code corresponding to the item displayed by the electronic shelf label.
A commodity inventory method based on the smart device according to any one of claims 1 to 3, comprising:

The smart device images the shelf to obtain a first image;

Positioning a product label on the shelf according to the first image;

According to the location, close to the product label;

Scanning the product label to obtain product information;

Imaging the goods on the shelf to obtain a second image;

And transmitting the commodity information and the second image to the server, so that the server visually recognizes the quantity of the commodity according to the second image, and performs inventory according to the commodity information and the quantity of the commodity.
The method of claim 4, wherein the smart device images the shelf, specifically comprising:

The smart device automatically navigates to a shelf area to be counted, and determines a navigation line;

The navigation line is moved in the shelf area according to the navigation line, and the nearby shelves are imaged.
The method of claim 4, the server comprising a first server providing a product visual identity service, a second server providing a merchandise inventory management service;

The server visually identifies the number of products according to the second image, and performs inventory based on the product information and the number of the products, and specifically includes:

Receiving, by the first server, the product information and the second image sent by the smart device, visually identifying the quantity of the product according to the second image, and sending the product information and the quantity of the product to the Second server;

The second server performs an inventory based on the product information and the number of the products.
The method of any one of claims 4 to 6, wherein the inventory comprises:

Update the inventory information of the product and check the sales situation of the product.
A commodity inventory device comprising:

a first camera module that images the shelf to obtain a first image;

a positioning module, according to the first image, positioning a position of the product label on the shelf;

Position moving module, according to the position, bringing the device close to the product label;

Scanning module, scanning the product label to obtain product information;

a second camera module that images an item on the shelf to obtain a second image;

a sending module, configured to send the commodity information and the second image to a server, so that the server visually recognizes the quantity of the commodity according to the second image, and performs inventory according to the commodity information and the quantity of the commodity .
The apparatus of claim 8 further comprising a navigation module;

The first camera module captures the shelf, and specifically includes:

The navigation module automatically navigates to the shelf area to be counted, and determines a navigation line; the location moving module moves the device in the shelf area according to the navigation line, and the first camera module images the nearby shelf .
A commodity inventory device, comprising:

At least one processor; and,

a memory communicatively coupled to the at least one processor; wherein

The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to:

Camera on the shelf to get the first image;

Positioning a product label on the shelf according to the first image;

According to the location, close to the product label;

Scanning the product label to obtain product information;

Imaging the goods on the shelf to obtain a second image;

And transmitting the commodity information and the second image to the server, so that the server visually recognizes the quantity of the commodity according to the second image, and performs inventory according to the commodity information and the quantity of the commodity.