CN108764391A - A kind of smart machine, business suspended method, apparatus and equipment - Google Patents
A kind of smart machine, business suspended method, apparatus and equipment Download PDFInfo
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device
- G06K17/0029—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device the arrangement being specially adapted for wireless interrogation of grouped or bundled articles tagged with wireless record carriers
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Abstract
This specification embodiment discloses a kind of smart machine, business suspended method, apparatus and equipment.Scheme includes：Using it is removable, can short-range communication, can image, using the smart machine of visual identity service, incude electronic shelf label by short distance, the positioning and camera shooting of commodity is carried out, further according to gained image, identification commodity amount is serviced using visual identity, automatically completes business suspended.
Description
Technical Field
The specification relates to the technical field of computer software, in particular to an intelligent device, a commodity checking method, a commodity checking device and commodity checking equipment.
Background
In order to clear inventory details of commodities of merchants in an off-line retail store, commodity counting is often required at intervals, so that the actual quantity of the inventory commodities can be checked with the quantity recorded on a custody account, and inventory conditions can be accurately mastered.
In the prior art, the commodity counting is carried out manually, and personnel are required to count commodities on a shelf one by using handheld equipment.
Based on the prior art, there is a need for a more efficient inventory scheme.
Disclosure of Invention
The embodiment of the specification provides an intelligent device, a commodity checking method, a commodity checking device and a commodity checking device, and aims to solve the following technical problems: there is a need for a more efficient inventory scheme.
In order to solve the above technical problem, the embodiments of the present specification are implemented as follows:
an embodiment of this specification provides an intelligent device, includes: the device comprises a device body, a controller, a near field communication module, a camera and a power device, wherein the controller, the near field communication module and the camera are positioned on the device body;
the short-distance communication module is used for short-distance induction of an Electronic Shelf Label (ESL) and determining the strength of an induction signal sent by the ESL;
the controller determines the position of the electronic shelf label according to the strength of the induction signal; controlling the power device to drive the equipment main body to be close to the electronic shelf label according to the position so that the short-distance communication module can read commodity information from the electronic shelf label; controlling the camera to shoot the goods on the shelf corresponding to the electronic shelf label to obtain an image; the commodity information and the image are used for further analysis processing.
An embodiment of the present specification provides a commodity inventory method based on the above-mentioned intelligent device, including:
the intelligent equipment closely senses the electronic shelf label and determines the strength of a sensing signal sent by the electronic shelf label;
determining the position of the electronic shelf label according to the strength of the induction signal;
according to the position, the electronic shelf label is close to the electronic shelf label so as to read commodity information from the electronic shelf label; and the number of the first and second groups,
shooting the commodity on the shelf corresponding to the electronic shelf label to obtain an image;
and sending the commodity information and the image to a server so that the server visually identifies the quantity of the commodities according to the image and performs inventory according to the commodity information and the quantity of the commodities.
An article of manufacture device that this specification embodiment provided includes:
the short-distance sensing module is used for sensing the electronic shelf label in a short distance and determining the strength of a sensing signal sent by the electronic shelf label;
the position determining module is used for determining the position of the electronic shelf label according to the strength of the induction signal;
the position moving module enables the device to be close to the electronic shelf label according to the position, so that the short-distance sensing module can read commodity information from the electronic shelf label;
the camera module is used for shooting the commodities on the shelf corresponding to the electronic shelf label to obtain an image;
and the sending module is used for sending the commodity information and the image to a server so that the server visually identifies the quantity of the commodities according to the image and performs inventory according to the commodity information and the quantity of the commodities.
An article of manufacture equipment that this specification embodiment provided includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
the method comprises the steps of sensing an electronic shelf label in a close range, and determining the strength of a sensing signal sent by the electronic shelf label;
determining the position of the electronic shelf label according to the strength of the induction signal;
according to the position, the electronic shelf label is close to the electronic shelf label so as to read commodity information from the electronic shelf label; and the number of the first and second groups,
shooting the commodity on the shelf corresponding to the electronic shelf label to obtain an image;
and sending the commodity information and the image to a server so that the server visually identifies the quantity of the commodities according to the image and performs inventory according to the commodity information and the quantity of the commodities.
The embodiment of the specification adopts at least one technical scheme which can achieve the following beneficial effects: the dependence on manpower can be reduced, and the commodity inventory can be automatically and efficiently carried out.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.
FIG. 1 is a schematic overall schematic diagram of the solution of the present disclosure in a practical application scenario;
fig. 2 is a schematic structural diagram of an intelligent device provided in an embodiment of the present specification;
fig. 3 is a schematic flowchart of a commodity checking method based on the intelligent device according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of a specific implementation of the commodity inventory method in an actual application scenario provided in an embodiment of this specification;
fig. 5 is a schematic structural diagram of an article counting device corresponding to fig. 3 provided in an embodiment of the present disclosure.
Detailed Description
The embodiment of the specification provides intelligent equipment, a commodity checking method, a commodity checking device and commodity checking equipment.
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 below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any inventive step based on the embodiments of the present disclosure, shall fall within the scope of protection of the present application.
In practical application, it is time-consuming and labor-consuming to perform commodity counting in a manual mode, and in the commodity counting process, the most troublesome is to confirm the actual condition of inventory, so that the scheme in the specification considers that at least the step is automated. Therefore, the scheme of the specification provides the intelligent device which is movable, can perform near field communication, can perform camera shooting, can utilize visual identification service, and is matched with an electronic shelf label which is used for providing commodity information, determining the position of a commodity and performing near field induction and a visual identification technology, so that the actual condition of inventory can be automatically confirmed, and the commodity counting efficiency can be improved.
Fig. 1 is a schematic overall principle diagram of the solution of the present specification in a practical application scenario. The intelligent equipment can move in the shelf area, respectively perform close-range induction on the electronic shelf labels corresponding to various commodities on the shelf and perform shooting, and further can identify the quantity of the commodities in the shot images by using visual identification services provided by the module of the intelligent equipment or other equipment.
The following describes a scheme of the present specification, mainly based on the above principle.
Fig. 2 is a schematic structural diagram of an intelligent device provided in an embodiment of the present specification. In fig. 2, the smart device mainly includes: the device comprises a device body 11, a controller 12 positioned on the device body 11, a short-range communication module 13, a camera 14 and a power device 15 capable of driving the device body 11 to move. The smart device can be applied to in-store merchandise situation confirmation and analysis, such as checking merchandise, detecting merchandise phase, registering merchandise image, and the like. In addition to the above-mentioned components, the smart device may further include other components such as a navigation module 16.
The working area of the smart device includes but is not limited to: a commodity storehouse, a commodity store and the like, wherein the commodity storehouse, the commodity store and the like are provided with corresponding electronic shelf labels for bearing commodities. The electronic shelf label is an electronic display device with an information receiving and sending function, is mainly applied to supermarkets, convenience stores, prescriptions and the like to display commodity information such as price, name and the like, is placed on a shelf, can replace the traditional paper label, is connected with a computer database through a wired or wireless network, and displays the latest commodity information.
One workflow of the smart device of fig. 2 includes the following steps:
the short-distance communication module 13 is used for short-distance sensing the electronic shelf label and determining the strength of a sensing signal sent by the electronic shelf label; the controller 12 determines the position of the electronic shelf label according to the strength of the induction signal; according to the position, the power device 15 is controlled to drive the equipment main body 11 to approach the electronic shelf label, so that the short-distance communication module 13 reads commodity information from the electronic shelf label; controlling the camera 14 to pick up the images of the commodities on the shelf corresponding to the electronic shelf label to obtain images; the commodity information and the image are used for further analysis and processing, for example, the image is visually recognized, and then commodities are checked in combination with the commodity information.
The shape of the apparatus body 11 is not limited in this specification, and the shape is at least adapted to the movement manner thereof. The moving manner of the apparatus body 11 may be various. For example, the device can move on the ground by means of wheels or tracks; for another example, a shelf or other supports are reformed in advance to provide a rail for the apparatus main body 11, so that the apparatus main body 11 moves on the rail; for another example, if the device body 11 has a flying device (e.g., an intelligent device based on an unmanned aerial vehicle), the device can fly and move in the air; and so on.
The short-range communication module 13 may also be varied. It may for example comprise at least one of the following: the device comprises a Near Field Communication (NFC) module, a radio frequency module, a Bluetooth module, an infrared induction module and a sound wave induction module. Of course, whichever module is employed, the electronic shelf label is required to have a corresponding communication capability.
For example, if the near field communication module 13 is an NFC module, the electronic shelf label should also have an NFC function. For example, the sensing signal Strength may be determined according to a Received Signal Strength Indication (RSSI) when near field communication is performed between the near field communication module 13 and the electronic shelf label.
In the embodiment of the present specification, since the electronic shelf label is generally close to the corresponding product, the position of the electronic shelf label is determined, that is, the position of the product corresponding to the electronic shelf label is basically determined. The imaging of the goods on the shelf by the camera 14 may be generally performed during the approach of the apparatus body 11 to the electronic shelf label. The specific strategy can be configured according to actual conditions, for example, for small-sized commodities, the image can be shot when the small-sized commodities are relatively closer to the electronic shelf label, and for large-sized commodities, the image can be shot when the large-sized commodities are relatively far away from the electronic shelf label. Of course, in order to photograph the goods on the shelf corresponding to the electronic shelf label more accurately, the distance and angle between the apparatus main body 11 and the electronic shelf label during photographing may be intelligently adjusted, for example, the apparatus main body may first approach the electronic shelf label, successively read the goods removal information from the electronic shelf label, and then photograph the goods in situ, or further approach or appropriately leave the electronic shelf label, so as to photograph the goods at an appropriate position and angle, and the adjustment depends on the relative size and relative position of the shelf or goods in the view finder frame including the camera 14, for example.
In this embodiment, the commodity information and the image may be sent to the server by the smart device, and further analyzed and processed by the server. Or, if the intelligent device is powerful enough, the intelligent device can further analyze and process the commodity information and the image without depending on the server.
Based on the same idea, the embodiment of the present specification further provides a schematic flow chart of a commodity checking method based on the intelligent device, where the flow chart is executed by the intelligent device, and it is assumed that the intelligent device is mainly responsible for collecting commodity information and images, and the server further analyzes and processes the commodity information and images.
The flow in fig. 3 may include the following steps:
s302: the intelligent equipment closely senses the electronic shelf label and determines the strength of a sensing signal sent by the electronic shelf label.
S304: and determining the position of the electronic shelf label according to the strength of the induction signal.
S306: and according to the position, approaching the electronic shelf label so as to read the commodity information from the electronic shelf label.
S308: and shooting the commodity on the shelf corresponding to the electronic shelf label to obtain an image.
S310: and sending the commodity information and the image to a server so that the server visually identifies the quantity of the commodities according to the image and performs inventory according to the commodity information and the quantity of the commodities. The adopted visual recognition algorithm is not specifically limited, and an existing visual recognition algorithm can be selected. The inventory includes, for example: and updating the inventory information of the commodity, and checking the selling condition of the commodity.
By the method of fig. 3, dependence on labor can be reduced, and product inventory can be performed automatically and efficiently.
In the embodiment of the specification, manual assistance can be added to improve the reliability of the scheme. For example, if the visual recognition of the number of the commodities fails or the recognition result is obviously unreasonable, the number of the commodities is manually re-recognized to obtain an accurate recognition result.
In the embodiment of the present specification, it has been mentioned above that the smart device may further have a navigation module thereon, and the navigation module is configured to help the smart device move more reasonably in the shelf area to be inventoried, so as to help the smart device collect the commodity information and the image more comprehensively and accurately. In this case, for step S302, the smart device proximity sensing electronic shelf label may specifically include: the intelligent equipment automatically navigates the goods shelf area to be checked and determines a navigation route; and moving in the shelf area according to the navigation line, and closely sensing the electronic shelf labels on the nearby shelves.
In the embodiment of the present specification, a server may have multiple servers working cooperatively, and the work in this scheme may also be implemented by dividing multiple services. For example, the server may include a first server providing a visual recognition service for the goods and a second server providing a stock management service for the goods, and for step S310, the smart device may send only the goods information and the image to the first server; furthermore, the server visually identifies the number of the commodities according to the image, and performs inventory according to the commodity information and the number of the commodities, which may specifically include: the first server receives the commodity information and the image sent by the intelligent equipment, visually identifies the quantity of commodities according to the image, and sends the commodity information and the quantity of the commodities to the second server; and the second server checks according to the commodity information and the commodity quantity. It should be noted that, in practical applications, the visual recognition and the inventory may be performed by the same server.
According to the above description, more intuitively, the embodiment of the present specification further provides a schematic diagram of a specific implementation of the above commodity checking method in an actual application scenario, as shown in fig. 4. Under this practical application scene, the smart machine can be through the wheel subaerial removal, and camera and near field communication module are located the top of equipment main part. During operation, the intelligent device firstly automatically navigates a shelf area to be checked, then moves according to a navigation line, closely senses a nearby electronic shelf label, approaches the electronic shelf label according to the strength of a sensing signal, reads commodity information from the electronic shelf label, captures a picture of a commodity corresponding to the electronic shelf label, uploads the commodity information and the picture obtained by capturing the picture to a first server providing visual identification service of the commodity, the first server identifies the quantity of the commodity from the picture, and then sends the commodity information and the quantity of the commodity to a second server providing inventory management service of the commodity, and the second server performs inventory management of the commodity according to the received information.
Based on the same idea, the embodiment of the present specification further provides a device corresponding to the above method, as shown in fig. 5.
Fig. 5 is a schematic structural diagram of an article counting device corresponding to fig. 3 provided in an embodiment of the present specification, where a dashed box represents an optional module, and the device includes:
the short-distance sensing module 501 is used for sensing the electronic shelf label in a short distance and determining the strength of a sensing signal sent by the electronic shelf label;
a position determining module 502, for determining the position of the electronic shelf label according to the strength of the sensing signal;
a position moving module 503, which makes the apparatus approach to the electronic shelf label according to the position, so that the short-distance sensing module 501 reads the commodity information from the electronic shelf label;
the camera module 504 is used for shooting the commodities on the shelf corresponding to the electronic shelf label to obtain an image;
the sending module 505 sends the commodity information and the image to a server, so that the server visually recognizes the quantity of the commodities according to the image and performs inventory according to the commodity information and the quantity of the commodities.
Optionally, the apparatus further comprises a navigation module 506;
the close range induction module 501 is used for close range induction of the electronic shelf label, and specifically comprises:
the navigation module 506 performs automatic navigation for the shelf area to be checked, and determines a navigation route; the position moving module 503 moves the device in the shelf area according to the navigation route, and the proximity sensing module 501 senses the electronic shelf labels on the nearby shelves in a proximity manner.
Based on the same idea, the embodiment of the present specification further provides an apparatus and a non-volatile computer storage medium corresponding to the above method.
An article checking device provided by the embodiment of the present specification and corresponding to fig. 3 includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
the method comprises the steps of sensing an electronic shelf label in a close range, and determining the strength of a sensing signal sent by the electronic shelf label;
determining the position of the electronic shelf label according to the strength of the induction signal;
according to the position, the electronic shelf label is close to the electronic shelf label so as to read commodity information from the electronic shelf label; and the number of the first and second groups,
shooting the commodity on the shelf corresponding to the electronic shelf label to obtain an image;
and sending the commodity information and the image to a server so that the server visually identifies the quantity of the commodities according to the image and performs inventory according to the commodity information and the quantity of the commodities.
A non-volatile computer storage medium corresponding to fig. 3 provided by the embodiments of the present description stores computer-executable instructions configured to:
the method comprises the steps of sensing an electronic shelf label in a close range, and determining the strength of a sensing signal sent by the electronic shelf label;
determining the position of the electronic shelf label according to the strength of the induction signal;
according to the position, the electronic shelf label is close to the electronic shelf label so as to read commodity information from the electronic shelf label; and the number of the first and second groups,
shooting the commodity on the shelf corresponding to the electronic shelf label to obtain an image;
and sending the commodity information and the image to a server so that the server visually identifies the quantity of the commodities according to the image and performs inventory according to the commodity information and the quantity of the commodities.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the embodiments of the apparatus, the device, and the nonvolatile computer storage medium, since they are substantially similar to the embodiments of the method, the description is simple, and for the relevant points, reference may be made to the partial description of the embodiments of the method.
The apparatus, the device, the nonvolatile computer storage medium, and the method provided in the embodiments of the present specification correspond to each other, and therefore, the apparatus, the device, and the nonvolatile computer storage medium also have advantageous technical effects similar to those of the corresponding method.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually manufacturing an integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as ABEL (Advanced Boolean Expression Language), AHDL (alternate Hardware Description Language), traffic, CUPL (core universal Programming Language), HDCal, jhddl (Java Hardware Description Language), Lava, Lola, HDL, PALASM, rhyd (Hardware Description Language), and the like, which are currently used in the field-Hardware Language. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, 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 convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the various elements may be implemented in the same one or more software and/or hardware implementations of the present description.
As will be appreciated by one skilled in the art, the present specification embodiments may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present 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, and so forth) having computer-usable program code embodied therein.
The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, the embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, 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, and the like) having computer-usable program code embodied therein.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present specification, and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A smart device, comprising: the device comprises a device body, a controller, a near field communication module, a camera and a power device, wherein the controller, the near field communication module and the camera are positioned on the device body;
the short-distance communication module is used for short-distance sensing the electronic shelf label and determining the strength of a sensing signal sent by the electronic shelf label;
the controller determines the position of the electronic shelf label according to the strength of the induction signal; controlling the power device to drive the equipment main body to be close to the electronic shelf label according to the position so that the short-distance communication module can read commodity information from the electronic shelf label; controlling the camera to shoot the goods on the shelf corresponding to the electronic shelf label to obtain an image; the commodity information and the image are used for further analysis processing.
2. The smart device of claim 1, wherein the device body is mobile, and specifically comprises:
the device body moves on the ground; or,
the device body moves on a track provided by the shelf or other support; or,
the device body moves in flight in the air.
3. The smart device of claim 1, the close-range communication module comprising at least one of: the NFC module, the radio frequency module, the bluetooth module, infrared induction module, sound wave induction module.
4. A commodity inventory method based on the intelligent device as claimed in any one of claims 1 to 3, comprising:
the intelligent equipment closely senses the electronic shelf label and determines the strength of a sensing signal sent by the electronic shelf label;
determining the position of the electronic shelf label according to the strength of the induction signal;
according to the position, the electronic shelf label is close to the electronic shelf label so as to read commodity information from the electronic shelf label; and the number of the first and second groups,
shooting the commodity on the shelf corresponding to the electronic shelf label to obtain an image;
and sending the commodity information and the image to a server so that the server visually identifies the quantity of the commodities according to the image and performs inventory according to the commodity information and the quantity of the commodities.
5. The method of claim 4, wherein the smart device proximity-sensitive electronic shelf label specifically comprises:
the intelligent equipment automatically navigates the goods shelf area to be checked and determines a navigation route;
and moving in the shelf area according to the navigation line, and closely sensing the electronic shelf labels on the nearby shelves.
6. The method of claim 4, the server comprising a first server providing a visual identification service for the goods, a second server providing an inventory management service for the goods;
the server visually identifies the number of the commodities according to the image, and performs inventory according to the commodity information and the number of the commodities, and the inventory method specifically comprises the following steps:
the first server receives the commodity information and the image sent by the intelligent equipment, visually identifies the quantity of commodities according to the image, and sends the commodity information and the quantity of the commodities to the second server;
and the second server checks according to the commodity information and the commodity quantity.
7. The method of any of claims 4 to 6, the inventorying comprising:
and updating the inventory information of the commodity and checking the selling condition of the commodity.
8. An article inventory device, comprising:
the short-distance sensing module is used for sensing the electronic shelf label in a short distance and determining the strength of a sensing signal sent by the electronic shelf label;
the position determining module is used for determining the position of the electronic shelf label according to the strength of the induction signal;
the position moving module enables the device to be close to the electronic shelf label according to the position, so that the short-distance sensing module can read commodity information from the electronic shelf label;
the camera module is used for shooting the commodities on the shelf corresponding to the electronic shelf label to obtain an image;
and the sending module is used for sending the commodity information and the image to a server so that the server visually identifies the quantity of the commodities according to the image and performs inventory according to the commodity information and the quantity of the commodities.
9. The apparatus of claim 8, further comprising a navigation module;
closely respond to module closely responds to electron goods shelves label specifically includes:
the navigation module automatically navigates the goods shelf area to be checked to determine a navigation route; the position moving module enables the device to move in the shelf area according to the navigation line, and the close-range induction module closely induces the electronic shelf labels on the nearby shelves.
10. An article inventory device, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
the method comprises the steps of sensing an electronic shelf label in a close range, and determining the strength of a sensing signal sent by the electronic shelf label;
determining the position of the electronic shelf label according to the strength of the induction signal;
according to the position, the electronic shelf label is close to the electronic shelf label so as to read commodity information from the electronic shelf label; and the number of the first and second groups,
shooting the commodity on the shelf corresponding to the electronic shelf label to obtain an image;
and sending the commodity information and the image to a server so that the server visually identifies the quantity of the commodities according to the image and performs inventory according to the commodity information and the quantity of the commodities.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810377988.1A CN108764391A (en) | 2018-04-25 | 2018-04-25 | A kind of smart machine, business suspended method, apparatus and equipment |
| PCT/CN2019/073834 WO2019205760A1 (en) | 2018-04-25 | 2019-01-30 | Intelligent device, inventory taking method, device and apparatus |
| TW108105087A TW201945994A (en) | 2018-04-25 | 2019-02-15 | Intelligent device, inventory taking method, device and apparatus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810377988.1A CN108764391A (en) | 2018-04-25 | 2018-04-25 | A kind of smart machine, business suspended method, apparatus and equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108764391A true CN108764391A (en) | 2018-11-06 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810377988.1A Pending CN108764391A (en) | 2018-04-25 | 2018-04-25 | A kind of smart machine, business suspended method, apparatus and equipment |
Country Status (3)
| Country | Link |
|---|---|
| CN (1) | CN108764391A (en) |
| TW (1) | TW201945994A (en) |
| WO (1) | WO2019205760A1 (en) |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109784323A (en) * | 2019-01-21 | 2019-05-21 | 北京旷视科技有限公司 | Method, apparatus, electronic equipment and the computer storage medium of image recognition |
| WO2019205760A1 (en) * | 2018-04-25 | 2019-10-31 | 阿里巴巴集团控股有限公司 | Intelligent device, inventory taking method, device and apparatus |
| CN110610149A (en) * | 2019-09-03 | 2019-12-24 | 卓尔智联(武汉)研究院有限公司 | Information processing method and device and computer storage medium |
| CN111325931A (en) * | 2018-12-14 | 2020-06-23 | 东芝泰格有限公司 | Wireless tag reading apparatus, control method, storage medium, and electronic device |
| CN111380535A (en) * | 2020-05-13 | 2020-07-07 | 广东星舆科技有限公司 | Navigation method and device based on visual label, mobile machine and readable medium |
| CN111428743A (en) * | 2019-01-09 | 2020-07-17 | 阿里巴巴集团控股有限公司 | Commodity identification method, commodity processing device and electronic equipment |
| WO2020248152A1 (en) * | 2019-06-12 | 2020-12-17 | 浙江汉朔电子科技有限公司 | Electronic price tag position detection apparatus and method |
| CN112950246A (en) * | 2019-12-11 | 2021-06-11 | 汉朔科技股份有限公司 | Positioning system and method for commercial and super-commercial products |
| CN112975976A (en) * | 2021-03-03 | 2021-06-18 | 北京京东乾石科技有限公司 | Article checking method and system, robot control device and robot |
| CN113298452A (en) * | 2020-06-01 | 2021-08-24 | 阿里巴巴集团控股有限公司 | Commodity inventory determining method and device, and commodity processing method and device |
| CN114503178A (en) * | 2019-07-15 | 2022-05-13 | 思电子系统意象公司 | Imaging device for shelf support and shelf system comprising the imaging device |
| CN116306755A (en) * | 2023-05-24 | 2023-06-23 | 汉朔科技股份有限公司 | Commodity checking method, commodity checking system, computer equipment and storage medium |
| JP7512726B2 (en) | 2020-07-14 | 2024-07-09 | Ｔｏｐｐａｎホールディングス株式会社 | Product judgment system, product judgment method, and product judgment program |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101853387A (en) * | 2010-04-02 | 2010-10-06 | 北京物资学院 | Stereoscopic warehouse goods checking method and system |
| CN103971220A (en) * | 2014-05-21 | 2014-08-06 | 上海第二工业大学 | Intelligent hazardous chemical substance warehouse management system |
| CN104787102A (en) * | 2015-04-28 | 2015-07-22 | 成坤 | Intelligent shopping cart, intelligent shopping system and using method thereof |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108764391A (en) * | 2018-04-25 | 2018-11-06 | 阿里巴巴集团控股有限公司 | A kind of smart machine, business suspended method, apparatus and equipment |
-
2018
- 2018-04-25 CN CN201810377988.1A patent/CN108764391A/en active Pending
-
2019
- 2019-01-30 WO PCT/CN2019/073834 patent/WO2019205760A1/en active Application Filing
- 2019-02-15 TW TW108105087A patent/TW201945994A/en unknown
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101853387A (en) * | 2010-04-02 | 2010-10-06 | 北京物资学院 | Stereoscopic warehouse goods checking method and system |
| CN103971220A (en) * | 2014-05-21 | 2014-08-06 | 上海第二工业大学 | Intelligent hazardous chemical substance warehouse management system |
| CN104787102A (en) * | 2015-04-28 | 2015-07-22 | 成坤 | Intelligent shopping cart, intelligent shopping system and using method thereof |
Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019205760A1 (en) * | 2018-04-25 | 2019-10-31 | 阿里巴巴集团控股有限公司 | Intelligent device, inventory taking method, device and apparatus |
| CN111325931A (en) * | 2018-12-14 | 2020-06-23 | 东芝泰格有限公司 | Wireless tag reading apparatus, control method, storage medium, and electronic device |
| CN111325931B (en) * | 2018-12-14 | 2022-08-23 | 东芝泰格有限公司 | Wireless tag reading apparatus, control method, storage medium, and electronic device |
| CN111428743B (en) * | 2019-01-09 | 2023-04-18 | 阿里巴巴集团控股有限公司 | Commodity identification method, commodity processing device and electronic equipment |
| CN111428743A (en) * | 2019-01-09 | 2020-07-17 | 阿里巴巴集团控股有限公司 | Commodity identification method, commodity processing device and electronic equipment |
| CN109784323B (en) * | 2019-01-21 | 2020-11-27 | 北京旷视科技有限公司 | Image recognition method and device, electronic equipment and computer storage medium |
| CN109784323A (en) * | 2019-01-21 | 2019-05-21 | 北京旷视科技有限公司 | Method, apparatus, electronic equipment and the computer storage medium of image recognition |
| WO2020248152A1 (en) * | 2019-06-12 | 2020-12-17 | 浙江汉朔电子科技有限公司 | Electronic price tag position detection apparatus and method |
| CN114503178A (en) * | 2019-07-15 | 2022-05-13 | 思电子系统意象公司 | Imaging device for shelf support and shelf system comprising the imaging device |
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| CN112950246B (en) * | 2019-12-11 | 2024-04-23 | 汉朔科技股份有限公司 | Commercial supercommodity positioning system and method |
| CN111380535A (en) * | 2020-05-13 | 2020-07-07 | 广东星舆科技有限公司 | Navigation method and device based on visual label, mobile machine and readable medium |
| CN113298452A (en) * | 2020-06-01 | 2021-08-24 | 阿里巴巴集团控股有限公司 | Commodity inventory determining method and device, and commodity processing method and device |
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| WO2022183782A1 (en) * | 2021-03-03 | 2022-09-09 | 北京京东乾石科技有限公司 | Item inventory method and system, and robot control apparatus and robot |
| CN112975976A (en) * | 2021-03-03 | 2021-06-18 | 北京京东乾石科技有限公司 | Article checking method and system, robot control device and robot |
| CN116306755A (en) * | 2023-05-24 | 2023-06-23 | 汉朔科技股份有限公司 | Commodity checking method, commodity checking system, computer equipment and storage medium |
| CN116306755B (en) * | 2023-05-24 | 2023-10-17 | 汉朔科技股份有限公司 | Commodity checking method, commodity checking system, computer equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| TW201945994A (en) | 2019-12-01 |
| WO2019205760A1 (en) | 2019-10-31 |
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