WO2019205760A1 - 一种智能设备,商品盘点方法、装置以及设备 - Google Patents

一种智能设备,商品盘点方法、装置以及设备 Download PDF

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Publication number
WO2019205760A1
WO2019205760A1 PCT/CN2019/073834 CN2019073834W WO2019205760A1 WO 2019205760 A1 WO2019205760 A1 WO 2019205760A1 CN 2019073834 W CN2019073834 W CN 2019073834W WO 2019205760 A1 WO2019205760 A1 WO 2019205760A1
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shelf label
electronic shelf
image
module
server
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PCT/CN2019/073834
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English (en)
French (fr)
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孙健康
杨凡
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阿里巴巴集团控股有限公司
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Publication of WO2019205760A1 publication Critical patent/WO2019205760A1/zh

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00Methods 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
    • G06K17/0022Methods 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
    • G06K17/0029Methods 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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  • 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.
  • 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.
  • 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.
  • a smart device provided by an embodiment of the present disclosure includes: a device body, a controller located on the device body, a short-range communication module, a camera, and a power device capable of driving the device body to move;
  • the short-range communication module proximity sensing electronic shelf label determines the intensity of the induced signal emitted by the electronic shelf label
  • the smart device closely senses an electronic shelf label to determine an intensity of an induced signal emitted by the electronic shelf label
  • Adjacent to the electronic shelf label in accordance with the location to read product information from the electronic shelf label;
  • the product information and the image are transmitted to a server such that the server visually recognizes the number of products based on the image, and performs inventory based on the product information and the number of the products.
  • a proximity sensing module a proximity sensing electronic shelf label, determining an intensity of the sensing signal emitted by the electronic shelf label
  • a location determining module determining a location of the electronic shelf label according to the intensity of the sensing signal
  • a position moving module according to the position, bringing the device close to the electronic shelf label, so that the proximity sensing module reads commodity information from the electronic shelf label;
  • the camera module captures an item on the shelf corresponding to the electronic shelf label to obtain an image
  • the sending module sends the product information and the image to the server, so that the server visually recognizes the quantity of the product according to the image, and performs an inventory according to the product information and the quantity of the product.
  • At least one processor and,
  • 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:
  • the proximity sensing electronic shelf label determines the intensity of the induced signal emitted by the electronic shelf label
  • Adjacent to the electronic shelf label in accordance with the location to read product information from the electronic shelf label;
  • the product information and the image are transmitted to a server such that the server visually recognizes the number of products based on the image, and performs inventory based on the product information and the number of the products.
  • 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.
  • FIG. 1 is a schematic diagram of the overall principle of the solution of the present specification in a practical application scenario
  • FIG. 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.
  • the embodiments of the present specification provide a smart device, a commodity inventory method, device, and device.
  • the scheme of this specification considers at least this step to be automated.
  • the solution of the present specification provides a smart device that can be moved, can be short-range communication, can be photographed, can use visual recognition services, and can be used to provide product information and determine the position of the product, and can be closely sensed. Shelf labels, as well as visual recognition technology, enable 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 perform close proximity sensing and imaging with the electronic shelf labels corresponding to various commodities on the shelf, and further, the smart device can utilize the visual recognition service provided by the own module or other device. The number of items is identified in the image obtained by the camera.
  • FIG. 2 is a schematic structural diagram of a smart device according to an embodiment of the present disclosure.
  • the smart device mainly includes an apparatus main body 11, a controller 12 located on the apparatus main body 11, a short-range communication module 13, a camera 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.
  • 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 goods on the shelf and have corresponding electronic shelf labels.
  • 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 proximity communication module 13 closely senses the electronic shelf label to determine the intensity of the induced signal emitted by the electronic shelf label; the controller 12 determines the position of the electronic shelf label according to the intensity of the induced signal; and controls the power according to the position
  • the device 15 drives the device body 11 close to the electronic shelf label, so that the proximity communication module 13 reads the product information from the electronic shelf label; and controls the camera 14 to perform the goods on the shelf corresponding to the electronic shelf label. Imaging, obtaining an image; the product information and the image are used for further analysis processing, for example, visually recognizing the image, and then combining commodity information to inventory commodities and the like.
  • 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.
  • flying devices such as drone-based smart devices, etc.
  • the short-range communication module 13 can also be diverse. For example, it may include at least one of the following: a near field communication (NFC) module, a radio frequency module, a Bluetooth module, an infrared sensing module, and an acoustic wave sensing module.
  • NFC near field communication
  • radio frequency module a radio frequency module
  • Bluetooth a Bluetooth module
  • infrared sensing module a wireless fidelity module
  • acoustic wave sensing module acoustic wave sensing module
  • the electronic shelf label should also have an NFC function.
  • the Received Signal Strength Indication determines the intensity of the induced signal.
  • the position of the electronic shelf label is determined, that is, the position corresponding to the commodity corresponding to the electronic shelf label is basically determined.
  • Imaging of the merchandise on the shelf by the camera 14 can generally be performed during the process of the device body 11 approaching the electronic shelf 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 electronic shelf label, and for a large product, it can be photographed when it is relatively far from the electronic shelf label.
  • the distance and angle between the device body 11 and the electronic shelf label during the imaging can be intelligently adjusted, for example, the electronic shelf label can be firstly accessed from the electronic After successfully reading the product information in the shelf label, it can be photographed in place, or further close to or properly away from the electronic shelf label, so as to be photographed at an appropriate position and angle, such as including the relative position of the shelf or the product in the frame of the camera 14 Size and relative position, etc.
  • the product information and the image may be sent to the server by the smart device, and further analyzed and processed by the server.
  • the smart device function is sufficiently powerful, the smart device may further analyze and process the product information and images without relying on the server.
  • 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 it is assumed that the smart device is mainly responsible for collecting product information and images, and the server is Information and images are further analyzed and processed.
  • the process in Figure 3 can include the following steps:
  • S302 The smart device closely senses an electronic shelf label to determine an intensity of an inductive signal sent by the electronic shelf label.
  • S304 Determine a location of the electronic shelf label according to the induced signal strength.
  • S306 Adjacent to the electronic shelf label according to the location, to read commodity information from the electronic shelf label.
  • S310 Send the commodity information and the image to a server, so that the server visually recognizes the quantity of the commodity according to the 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.
  • 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.
  • 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.
  • the smart device proximity sensing the electronic shelf label may specifically include: the smart device automatically navigating the shelf area to be counted, determining a navigation line; Move in the shelf area and closely sense the electronic shelf labels on nearby shelves.
  • the server may have multiple divisions of labor to work together, and multiple services may be divided for the work in the solution.
  • 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.
  • the smart device may only send the product information and the image to the first server;
  • the server may, according to the image, visually identify the quantity of the product, and perform the inventory according to the product information and the quantity of the product, and may include: the first server receiving the product information and the information sent by the smart device The 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 performs inventory based on the item information and the quantity of the item .
  • visual recognition and inventory can also be performed by the same server.
  • the embodiment of the present specification further provides a schematic diagram of a specific implementation manner of the above commodity inventory method in an actual application scenario, as shown in FIG. 4 .
  • the smart device can move on the ground through the wheel, and the camera and the short-range communication module are located at the top of the device body.
  • the smart device first automatically navigates the shelf area of the inventory, then moves according to the navigation line, and closely senses the nearby electronic shelf label, and closes the electronic shelf label according to the intensity of the sensing signal, and reads the product from the electronic shelf label.
  • the information, and the product corresponding to the electronic shelf label upload the product information and the image obtained by the imaging to the first server providing the visual identification service of the product, the first server identifies the quantity of the product from the image, and then sends the product information and the quantity of the product.
  • a second server that provides a commodity inventory management service, and the second server performs commodity inventory management based on the received information.
  • 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 proximity sensing module 501, the proximity sensing electronic shelf label determines the intensity of the sensing signal emitted by the electronic shelf label
  • the location determining module 502 determines the location of the electronic shelf label according to the intensity of the sensing signal
  • Position moving module 503 according to the location, bringing the device closer to the electronic shelf label, so that the proximity sensing module 501 reads product information from the electronic shelf label;
  • the camera module 504 captures an item on the shelf corresponding to the electronic shelf label to obtain an image
  • the sending module 505 sends the product information and the image to the server, so that the server visually recognizes the quantity of the product according to the image, and performs an inventory according to the product information and the number of the products.
  • the device further includes a navigation module 506;
  • the proximity sensing module 501 senses the electronic shelf label in close proximity, and specifically includes:
  • the navigation module 506 automatically navigates 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 proximity sensing module 501 is close to the distance. Inductive electronic shelf labels on nearby shelves.
  • 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,
  • 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:
  • the proximity sensing electronic shelf label determines the intensity of the induced signal emitted by the electronic shelf label
  • Adjacent to the electronic shelf label in accordance with the location to read product information from the electronic shelf label;
  • the product information and the image are transmitted to a server such that the server visually recognizes the number of products based on the image, and performs inventory based on the product information and the number of the products.
  • 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:
  • the proximity sensing electronic shelf label determines the intensity of the induced signal emitted by the electronic shelf label
  • Adjacent to the electronic shelf label in accordance with the location to read product information from the electronic shelf label;
  • the product information and the image are transmitted to a server such that the server visually recognizes the number of products based on the image, and performs inventory based on the product information and the number of the products.
  • 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.
  • PLD Programmable Logic Device
  • FPGA Field Programmable Gate Array
  • HDL Hardware Description Language
  • 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.
  • computer readable program code eg, software or firmware
  • 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.
  • the controller can be logically programmed by means of logic gates, switches, ASICs, programmable logic controllers, and embedding.
  • 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.
  • 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.
  • 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.
  • embodiments of the specification can be provided as a method, system, or computer program product.
  • 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.
  • 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 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.
  • a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
  • processors CPUs
  • input/output interfaces network interfaces
  • memory volatile and non-volatile 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.
  • RAM random access memory
  • ROM read only 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.
  • computer readable media does not include temporary storage of computer readable media, such as modulated data signals and carrier waves.
  • 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.
  • computer-usable storage media including but not limited to disk storage, CD-ROM, optical storage, etc.
  • 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.
  • program modules can be located in both local and remote computer storage media including storage devices.

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Abstract

一种智能设备、商品盘点方法、商品盘点装置以及商品盘点设备。所述方法包括:利用可移动、可近距离通信、可摄像、可利用视觉识别服务的智能设备,通过近距离感应电子货架标签,进行商品的定位以及摄像,再根据所得图像,利用视觉识别服务识别商品数量,自动完成商品盘点。

Description

一种智能设备,商品盘点方法、装置以及设备
相关申请的交叉引用
本专利申请要求于2018年4月25日提交的、申请号为201810377988.1、发明名称为“一种智能设备,商品盘点方法、装置以及设备”的中国专利申请的优先权,该申请的全文以引用的方式并入本文中。
技术领域
本说明书涉及计算机软件技术领域,尤其涉及一种智能设备,商品盘点方法、装置以及设备。
背景技术
线下零售店铺为理清商家的商品库存详情,往往需要每隔一段时间进行商品盘点,以便可以对库存商品的实际数量与保管账上记录的数量相核对,更准确地掌握库存情况。
在现有技术中,基于人工进行商品盘点,需要人员用手持设备对货架上的商品进行逐个盘点。
基于现有技术,需要更高效的商品盘点方案。
发明内容
本说明书实施例提供一种智能设备、商品盘点方法、装置以及设备,用以解决如下技术问题:需要更高效的商品盘点方案。
为解决上述技术问题,本说明书实施例是这样实现的:
本说明书实施例提供的一种智能设备,包括:设备主体、位于所述设备主体上的控制器、近距离通信模块、摄像头,以及能够驱使所述设备主体移动的动力装置;
所述近距离通信模块近距离感应电子货架标签(Electronic Shelf Label,ESL),确定所述电子货架标签发出的感应信号强度;
所述控制器根据所述感应信号强度,确定所述电子货架标签的位置;根据所述位置,控制所述动力装置驱使所述设备主体靠近所述电子货架标签,以便所述近距离通信 模块从所述电子货架标签中读取出商品信息;以及,控制所述摄像头对所述电子货架标签对应的货架上的商品进行摄像,得到图像;所述商品信息和所述图像用于进一步分析处理。
本说明书实施例提供的一种基于上述智能设备的商品盘点方法,包括:
所述智能设备近距离感应电子货架标签,确定所述电子货架标签发出的感应信号强度;
根据所述感应信号强度,确定所述电子货架标签的位置;
根据所述位置,靠近所述电子货架标签,以便从所述电子货架标签中读取出商品信息;以及,
对所述电子货架标签对应的货架上的商品进行摄像,得到图像;
将所述商品信息和所述图像发送给服务器,以使所述服务器根据所述图像,视觉识别出商品数量,以及根据所述商品信息和所述商品数量,进行盘点。
本说明书实施例提供的一种商品盘点装置,包括:
近距离感应模块,近距离感应电子货架标签,确定所述电子货架标签发出的感应信号强度;
位置确定模块,根据所述感应信号强度,确定所述电子货架标签的位置;
位置移动模块,根据所述位置,使所述装置靠近所述电子货架标签,以便所述近距离感应模块从所述电子货架标签中读取出商品信息;
摄像模块,对所述电子货架标签对应的货架上的商品进行摄像,得到图像;
发送模块,将所述商品信息和所述图像发送给服务器,以使所述服务器根据所述图像,视觉识别出商品数量,以及根据所述商品信息和所述商品数量,进行盘点。
本说明书实施例提供的一种商品盘点设备,包括:
至少一个处理器;以及,
与所述至少一个处理器通信连接的存储器;其中,
所述存储器存储有可被所述至少一个处理器执行的指令,所述指令被所述至少一个处理器执行,以使所述至少一个处理器能够:
近距离感应电子货架标签,确定所述电子货架标签发出的感应信号强度;
根据所述感应信号强度,确定所述电子货架标签的位置;
根据所述位置,靠近所述电子货架标签,以便从所述电子货架标签中读取出商品信息;以及,
对所述电子货架标签对应的货架上的商品进行摄像,得到图像;
将所述商品信息和所述图像发送给服务器,以使所述服务器根据所述图像,视觉识别出商品数量,以及根据所述商品信息和所述商品数量,进行盘点。
本说明书实施例采用的上述至少一个技术方案能够达到以下有益效果:能够降低对人工的依赖,自动化而高效地进行商品盘点。
附图说明
为了更清楚地说明本说明书实施例或现有技术中的技术方案,下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本说明书中记载的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。
图1为本说明书的方案在一种实际应用场景下的整体原理示意图;
图2为本说明书实施例提供的一种智能设备的结构示意图;
图3为本说明书实施例提供的基于上述智能设备的一种商品盘点方法的流程示意图;
图4为本说明书实施例提供的一种实际应用场景下,上述商品盘点方法的具体实施方案示意图;
图5为本说明书实施例提供的对应于图3的商品盘点装置的结构示意图。
具体实施方式
本说明书实施例提供一种智能设备,商品盘点方法、装置以及设备。
为了使本技术领域的人员更好地理解本说明书中的技术方案,下面将结合本说明书实施例中的附图,对本说明书实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本申请一部分实施例,而不是全部的实施例。基于本说明书实施例,本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例,都应当属 于本申请保护的范围。
在实际应用中,通过人工方式进行商品盘点费时费力,商品盘点过程中,最麻烦的往往是确认库存的实际情况,因此,本说明书的方案考虑至少将这一步自动化。为此,本说明书的方案提供了一种智能设备,智能设备可移动、可近距离通信、可摄像、可利用视觉识别服务,与用于提供商品信息和确定商品位置、可近距离感应的电子货架标签,以及视觉识别技术配合使用,从而能够实现自动化地确认库存的实际情况,以助于提高商品盘点效率。
图1为本说明书的方案在一种实际应用场景下的整体原理示意图。可以看到,智能设备能够在货架区域移动,并与货架上分别对应各种商品的电子货架标签进行近距离感应,以及摄像,进一步地,智能设备能够利用自身模块或者其他设备提供的视觉识别服务,在摄像得到的图像中识别商品数量。
下面主要基于上述原理,对本说明书的方案进行说明。
图2为本说明书实施例提供的一种智能设备的结构示意图。在图2中,智能设备主要包括:设备主体11、位于设备主体11上的控制器12、近距离通信模块13、摄像头14,以及能够驱使设备主体11移动的动力装置15。智能设备能够应用于在库商品情况确认和分析,比如,盘点商品、检测商品品相、登记商品图像等。除了上述构成部分以外,智能设备比如还包括导航模块16等其他部分。
智能设备的工作区域包括但不限于:以货架承载商品并具有相应的电子货架标签的商品库房、商品卖场等。电子货架标签是一种带有信息收发功能的电子显示装置,主要应用于超市、便利店、药方等处以显示价格、名称等商品信息,放置在货架上,可替代传统纸质标签,每个电子货架标签通过有线或者无线网络,与计算机数据库相连,并将最新的商品信息进行显示。
图2中的智能设备的一种工作流程包括以下步骤:
近距离通信模块13近距离感应电子货架标签,确定所述电子货架标签发出的感应信号强度;控制器12根据所述感应信号强度,确定所述电子货架标签的位置;根据所述位置,控制动力装置15驱使设备主体11靠近所述电子货架标签,以便近距离通信模块13从所述电子货架标签中读取出商品信息;以及,控制摄像头14对所述电子货架标签对应的货架上的商品进行摄像,得到图像;所述商品信息和所述图像用于进一步分析处理,比如,对所述图像进行视觉识别,进而结合商品信息盘点商品等。
本说明书对设备主体11的形状并不做限定,其形状至少要适应于其移动方式。设备主体11的移动方式可以是多样的。比如,在地面上通过轮子或者履带等方式移动;再比如,预先对货架或者其他支架进行改造,为设备主体11提供轨道,以供设备主体11在轨道上移动;再比如,若设备主体11上具有飞行装置(如基于无人机的智能设备等),则可以在空中飞行移动;等等。
近距离通信模块13也可以是多样的。其比如可以包括以下至少一种:近场通信(NFC)模块、射频模块、蓝牙模块、红外感应模块、声波感应模块。当然,无论采用哪种模块,需要电子货架标签具有对应的通信能力。
例如,若近距离通信模块13为NFC模块,则电子货架标签也应具有NFC功能。比如可以根据近距离通信模块13与电子货架标签间近场通信时,接收信号强度指示(Received Signal Strength Indication,RSSI)确定上述的感应信号强度。
在本说明书实施例中,由于电子货架标签一般距离其对应的商品很近,因此,确定了电子货架标签的位置,即相当于基本确定了该电子货架标签对应的商品的位置。摄像头14对货架上的商品进行摄像一般可以在设备主体11靠近电子货架标签的过程中执行。具体策略可以根据实际情况配置,比如,对于小型商品,可以相对更靠近电子货架标签时再摄像,而对于大型商品,可以在距离电子货架标签相对远时就摄像。当然,为了比较精确地拍摄到电子货架标签对应的货架上的商品,可以智能化地调整摄像时设备主体11与电子货架标签之间的距离和角度,比如,可以先靠近电子货架标签,从电子货架标签中成功读取除商品信息后,再在原地摄像,或者进一步靠近或者适当远离电子货架标签,以在合适的位置和角度摄像,调整依据比如包括摄像头14取景框中的货架或者商品的相对大小和相对位置等。
在本说明书实施例中,商品信息和图像可以由智能设备发送给服务器,由服务器进一步分析处理。或者,若智能设备功能足够强大,也可以不依赖于服务器而由智能设备自己对商品信息和图像进一步分析处理。
基于同样的思路,本说明书实施例还提供了基于上述智能设备的一种商品盘点方法的流程示意图,该流程由上述的智能设备执行,假定智能设备主要负责采集商品信息和图像,由服务器对商品信息和图像进一步分析处理。
图3中的流程可以包括以下步骤:
S302:所述智能设备近距离感应电子货架标签,确定所述电子货架标签发出的感 应信号强度。
S304:根据所述感应信号强度,确定所述电子货架标签的位置。
S306:根据所述位置,靠近所述电子货架标签,以便从所述电子货架标签中读取出商品信息。
S308:对所述电子货架标签对应的货架上的商品进行摄像,得到图像。
S310:将所述商品信息和所述图像发送给服务器,以使所述服务器根据所述图像,视觉识别出商品数量,以及根据所述商品信息和所述商品数量,进行盘点。所采用的视觉识别算法这里不做具体限定,可以选择目前已有的视觉识别算法。盘点比如具体包括:对商品的库存信息进行更新,并对商品售卖情况进行核对等。
通过图3的方法,能够降低对人工的依赖,自动化而高效地进行商品盘点。
在本说明书实施例中,为了提高方案的可靠性,还可以加以人工辅助。比如,若视觉识别商品数量失败或者识别结果明显不合理时,通过人工重新识别商品数量,以获得准确的识别结果。
在本说明书实施例中,前面已经提到,智能设备上还可以具有导航模块,导航模块用于帮助智能设备更合理地在待盘点的货架区域中移动,进而,有助于智能设备更全面和准确地采集商品信息和图像。在这种情况下,对于步骤S302,所述智能设备近距离感应电子货架标签,具体可以包括:所述智能设备针对待盘点的货架区域进行自动导航,确定导航线路;按照所述导航线路在所述货架区域中移动,并近距离感应附近货架上的电子货架标签。
在本说明书实施例中,服务器可以有多台分工协同工作,对于本方案中的工作也可以划分多项服务实现。比如,所述服务器可以包括提供商品视觉识别服务的第一服务器、提供商品库存管理服务的第二服务器,则对于步骤S310,智能设备可以只将商品信息和图像发送给第一服务器;进而,所述服务器根据所述图像,视觉识别出商品数量,以及根据所述商品信息和所述商品数量,进行盘点,具体可以包括:所述第一服务器接收所述智能设备发送的所述商品信息和所述图像,根据所述图像,视觉识别出商品数量,将所述商品信息和所述商品数量发送给所述第二服务器;所述第二服务器根据所述商品信息和所述商品数量,进行盘点。需要说明的是,在实际应用中,视觉识别和盘点也可以由同一服务器执行。
根据上面的说明,更直观地,本说明书实施例还提供了一种实际应用场景下,上 述商品盘点方法的具体实施方案示意图,如图4所示。在该实际应用场景下,智能设备能够通过轮子在地面上移动,摄像头和近距离通信模块位于设备主体的顶端。在工作时,智能设备首先对待盘点的货架区域进行自动导航,然后,按照导航线路移动,并近距离感应附近的电子货架标签,根据感应信号强度,靠近电子货架标签,从电子货架标签读取商品信息,以及为电子货架标签对应的商品摄像,将商品信息和摄像得到的图像上传至提供商品视觉识别服务的第一服务器,第一服务器从图像中识别商品数量,再将商品信息和商品数量发送给提供商品库存管理服务的第二服务器,第二服务器根据接收的信息进行商品库存管理。
基于同样的思路,本说明书实施例还提供了上述方法对应的装置,如图5所示。
图5为本说明书实施例提供的对应于图3的商品盘点装置的结构示意图,虚线方框表示可选的模块,所述装置包括:
近距离感应模块501,近距离感应电子货架标签,确定所述电子货架标签发出的感应信号强度;
位置确定模块502,根据所述感应信号强度,确定所述电子货架标签的位置;
位置移动模块503,根据所述位置,使所述装置靠近所述电子货架标签,以便所述近距离感应模块501从所述电子货架标签中读取出商品信息;
摄像模块504,对所述电子货架标签对应的货架上的商品进行摄像,得到图像;
发送模块505,将所述商品信息和所述图像发送给服务器,以使所述服务器根据所述图像,视觉识别出商品数量,以及根据所述商品信息和所述商品数量,进行盘点。
可选地,所述装置还包括导航模块506;
所述近距离感应模块501近距离感应电子货架标签,具体包括:
所述导航模块506针对待盘点的货架区域进行自动导航,确定导航线路;所述位置移动模块503按照所述导航线路使所述装置在所述货架区域中移动,所述近距离感应模块501近距离感应附近货架上的电子货架标签。
基于同样的思路,本说明书实施例还提供了上述方法对应的设备和非易失性计算机存储介质。
本说明书实施例提供的对应于图3的一种商品盘点设备,包括:
至少一个处理器;以及,
与所述至少一个处理器通信连接的存储器;其中,
所述存储器存储有可被所述至少一个处理器执行的指令,所述指令被所述至少一个处理器执行,以使所述至少一个处理器能够:
近距离感应电子货架标签,确定所述电子货架标签发出的感应信号强度;
根据所述感应信号强度,确定所述电子货架标签的位置;
根据所述位置,靠近所述电子货架标签,以便从所述电子货架标签中读取出商品信息;以及,
对所述电子货架标签对应的货架上的商品进行摄像,得到图像;
将所述商品信息和所述图像发送给服务器,以使所述服务器根据所述图像,视觉识别出商品数量,以及根据所述商品信息和所述商品数量,进行盘点。
本说明书实施例提供的对应于图3的一种非易失性计算机存储介质,存储有计算机可执行指令,所述计算机可执行指令设置为:
近距离感应电子货架标签,确定所述电子货架标签发出的感应信号强度;
根据所述感应信号强度,确定所述电子货架标签的位置;
根据所述位置,靠近所述电子货架标签,以便从所述电子货架标签中读取出商品信息;以及,
对所述电子货架标签对应的货架上的商品进行摄像,得到图像;
将所述商品信息和所述图像发送给服务器,以使所述服务器根据所述图像,视觉识别出商品数量,以及根据所述商品信息和所述商品数量,进行盘点。
上述对本说明书特定实施例进行了描述。其它实施例在所附权利要求书的范围内。在一些情况下,在权利要求书中记载的动作或步骤可以按照不同于实施例中的顺序来执行并且仍然可以实现期望的结果。另外,在附图中描绘的过程不一定要求示出的特定顺序或者连续顺序才能实现期望的结果。在某些实施方式中,多任务处理和并行处理也是可以的或者可能是有利的。
本说明书中的各个实施例均采用递进的方式描述,各个实施例之间相同相似的部分互相参见即可,每个实施例重点说明的都是与其他实施例的不同之处。尤其,对于装置、设备、非易失性计算机存储介质实施例而言,由于其基本相似于方法实施例,所以 描述的比较简单,相关之处参见方法实施例的部分说明即可。
本说明书实施例提供的装置、设备、非易失性计算机存储介质与方法是对应的,因此,装置、设备、非易失性计算机存储介质也具有与对应方法类似的有益技术效果,由于上面已经对方法的有益技术效果进行了详细说明,因此,这里不再赘述对应装置、设备、非易失性计算机存储介质的有益技术效果。
在20世纪90年代,对于一个技术的改进可以很明显地区分是硬件上的改进(例如,对二极管、晶体管、开关等电路结构的改进)还是软件上的改进(对于方法流程的改进)。然而,随着技术的发展,当今的很多方法流程的改进已经可以视为硬件电路结构的直接改进。设计人员几乎都通过将改进的方法流程编程到硬件电路中来得到相应的硬件电路结构。因此,不能说一个方法流程的改进就不能用硬件实体模块来实现。例如,可编程逻辑器件(Programmable Logic Device,PLD)(例如现场可编程门阵列(Field Programmable Gate Array,FPGA))就是这样一种集成电路,其逻辑功能由用户对器件编程来确定。由设计人员自行编程来把一个数字系统“集成”在一片PLD上,而不需要请芯片制造厂商来设计和制作专用的集成电路芯片。而且,如今,取代手工地制作集成电路芯片,这种编程也多半改用“逻辑编译器(logic compiler)”软件来实现,它与程序开发撰写时所用的软件编译器相类似,而要编译之前的原始代码也得用特定的编程语言来撰写,此称之为硬件描述语言(Hardware Description Language,HDL),而HDL也并非仅有一种,而是有许多种,如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)等,目前最普遍使用的是VHDL(Very-High-Speed Integrated Circuit Hardware Description Language)与Verilog。本领域技术人员也应该清楚,只需要将方法流程用上述几种硬件描述语言稍作逻辑编程并编程到集成电路中,就可以很容易得到实现该逻辑方法流程的硬件电路。
控制器可以按任何适当的方式实现,例如,控制器可以采取例如微处理器或处理器以及存储可由该(微)处理器执行的计算机可读程序代码(例如软件或固件)的计算机可读介质、逻辑门、开关、专用集成电路(Application Specific Integrated Circuit,ASIC)、可编程逻辑控制器和嵌入微控制器的形式,控制器的例子包括但不限于以下微控制器:ARC 625D、Atmel AT91SAM、Microchip PIC18F26K20以及Silicone Labs C8051F320,存储器控制器还可以被实现为存储器的控制逻辑的一部分。本领域技术人员也知道,除 了以纯计算机可读程序代码方式实现控制器以外,完全可以通过将方法步骤进行逻辑编程来使得控制器以逻辑门、开关、专用集成电路、可编程逻辑控制器和嵌入微控制器等的形式来实现相同功能。因此这种控制器可以被认为是一种硬件部件,而对其内包括的用于实现各种功能的装置也可以视为硬件部件内的结构。或者甚至,可以将用于实现各种功能的装置视为既可以是实现方法的软件模块又可以是硬件部件内的结构。
上述实施例阐明的系统、装置、模块或单元,具体可以由计算机芯片或实体实现,或者由具有某种功能的产品来实现。一种典型的实现设备为计算机。具体的,计算机例如可以为个人计算机、膝上型计算机、蜂窝电话、相机电话、智能电话、个人数字助理、媒体播放器、导航设备、电子邮件设备、游戏控制台、平板计算机、可穿戴设备或者这些设备中的任何设备的组合。
为了描述的方便,描述以上装置时以功能分为各种单元分别描述。当然,在实施本说明书时可以把各单元的功能在同一个或多个软件和/或硬件中实现。
本领域内的技术人员应明白,本说明书实施例可提供为方法、系统、或计算机程序产品。因此,本说明书实施例可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且,本说明书实施例可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
本说明书是参照根据本说明书实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器,使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中,使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品,该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上,使得在计 算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理,从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
在一个典型的配置中,计算设备包括一个或多个处理器(CPU)、输入/输出接口、网络接口和内存。
内存可能包括计算机可读介质中的非永久性存储器,随机存取存储器(RAM)和/或非易失性内存等形式,如只读存储器(ROM)或闪存(flash RAM)。内存是计算机可读介质的示例。
计算机可读介质包括永久性和非永久性、可移动和非可移动媒体可以由任何方法或技术来实现信息存储。信息可以是计算机可读指令、数据结构、程序的模块或其他数据。计算机的存储介质的例子包括,但不限于相变内存(PRAM)、静态随机存取存储器(SRAM)、动态随机存取存储器(DRAM)、其他类型的随机存取存储器(RAM)、只读存储器(ROM)、电可擦除可编程只读存储器(EEPROM)、快闪记忆体或其他内存技术、只读光盘只读存储器(CD-ROM)、数字多功能光盘(DVD)或其他光学存储、磁盒式磁带,磁带磁磁盘存储或其他磁性存储设备或任何其他非传输介质,可用于存储可以被计算设备访问的信息。按照本文中的界定,计算机可读介质不包括暂存电脑可读媒体(transitory media),如调制的数据信号和载波。
还需要说明的是,术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含,从而使得包括一系列要素的过程、方法、商品或者设备不仅包括那些要素,而且还包括没有明确列出的其他要素,或者是还包括为这种过程、方法、商品或者设备所固有的要素。在没有更多限制的情况下,由语句“包括一个……”限定的要素,并不排除在包括所述要素的过程、方法、商品或者设备中还存在另外的相同要素。
本领域技术人员应明白,本说明书实施例可提供为方法、系统或计算机程序产品。因此,本说明书可采用完全硬件实施例、完全软件实施例或结合软件和硬件方面的实施例的形式。而且,本说明书可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
本说明书可以在由计算机执行的计算机可执行指令的一般上下文中描述,例如程序模块。一般地,程序模块包括执行特定任务或实现特定抽象数据类型的例程、程序、 对象、组件、数据结构等等。也可以在分布式计算环境中实践本说明书,在这些分布式计算环境中,由通过通信网络而被连接的远程处理设备来执行任务。在分布式计算环境中,程序模块可以位于包括存储设备在内的本地和远程计算机存储介质中。
本说明书中的各个实施例均采用递进的方式描述,各个实施例之间相同相似的部分互相参见即可,每个实施例重点说明的都是与其他实施例的不同之处。尤其,对于系统实施例而言,由于其基本相似于方法实施例,所以描述的比较简单,相关之处参见方法实施例的部分说明即可。
以上所述仅为本说明书实施例而已,并不用于限制本申请。对于本领域技术人员来说,本申请可以有各种更改和变化。凡在本申请的精神和原理之内所作的任何修改、等同替换、改进等,均应包含在本申请的权利要求范围之内。

Claims (10)

  1. 一种智能设备,包括:设备主体、位于所述设备主体上的控制器、近距离通信模块、摄像头,以及能够驱使所述设备主体移动的动力装置;
    所述近距离通信模块近距离感应电子货架标签,确定所述电子货架标签发出的感应信号强度;
    所述控制器根据所述感应信号强度,确定所述电子货架标签的位置;根据所述位置,控制所述动力装置驱使所述设备主体靠近所述电子货架标签,以便所述近距离通信模块从所述电子货架标签中读取出商品信息;以及,控制所述摄像头对所述电子货架标签对应的货架上的商品进行摄像,得到图像;所述商品信息和所述图像用于进一步分析处理。
  2. 如权利要求1所述的智能设备,所述设备主体移动,具体包括:
    所述设备主体在地面上移动;或者,
    所述设备主体在所述货架或其他支架提供的轨道上移动;或者,
    所述设备主体在空中飞行移动。
  3. 如权利要求1所述的智能设备,所述近距离通信模块包括以下至少一种:近场通信NFC模块、射频模块、蓝牙模块、红外感应模块、声波感应模块。
  4. 一种基于如权利要求1~3任一项所述的智能设备的商品盘点方法,包括:
    所述智能设备近距离感应电子货架标签,确定所述电子货架标签发出的感应信号强度;
    根据所述感应信号强度,确定所述电子货架标签的位置;
    根据所述位置,靠近所述电子货架标签,以便从所述电子货架标签中读取出商品信息;以及,
    对所述电子货架标签对应的货架上的商品进行摄像,得到图像;
    将所述商品信息和所述图像发送给服务器,以使所述服务器根据所述图像,视觉识别出商品数量,以及根据所述商品信息和所述商品数量,进行盘点。
  5. 如权利要求4所述的方法,所述智能设备近距离感应电子货架标签,具体包括:
    所述智能设备针对待盘点的货架区域进行自动导航,确定导航线路;
    按照所述导航线路在所述货架区域中移动,并近距离感应附近货架上的电子货架标签。
  6. 如权利要求4所述的方法,所述服务器包括提供商品视觉识别服务的第一服务器、提供商品库存管理服务的第二服务器;
    所述服务器根据所述图像,视觉识别出商品数量,以及根据所述商品信息和所述商 品数量,进行盘点,具体包括:
    所述第一服务器接收所述智能设备发送的所述商品信息和所述图像,根据所述图像,视觉识别出商品数量,将所述商品信息和所述商品数量发送给所述第二服务器;
    所述第二服务器根据所述商品信息和所述商品数量,进行盘点。
  7. 如权利要求4~6任一项所述的方法,所述盘点包括:
    对商品的库存信息进行更新,并对商品售卖情况进行核对。
  8. 一种商品盘点装置,包括:
    近距离感应模块,近距离感应电子货架标签,确定所述电子货架标签发出的感应信号强度;
    位置确定模块,根据所述感应信号强度,确定所述电子货架标签的位置;
    位置移动模块,根据所述位置,使所述装置靠近所述电子货架标签,以便所述近距离感应模块从所述电子货架标签中读取出商品信息;
    摄像模块,对所述电子货架标签对应的货架上的商品进行摄像,得到图像;
    发送模块,将所述商品信息和所述图像发送给服务器,以使所述服务器根据所述图像,视觉识别出商品数量,以及根据所述商品信息和所述商品数量,进行盘点。
  9. 如权利要求8所述的装置,所述装置还包括导航模块;
    所述近距离感应模块近距离感应电子货架标签,具体包括:
    所述导航模块针对待盘点的货架区域进行自动导航,确定导航线路;所述位置移动模块按照所述导航线路使所述装置在所述货架区域中移动,所述近距离感应模块近距离感应附近货架上的电子货架标签。
  10. 一种商品盘点设备,包括:
    至少一个处理器;以及,
    与所述至少一个处理器通信连接的存储器;其中,
    所述存储器存储有可被所述至少一个处理器执行的指令,所述指令被所述至少一个处理器执行,以使所述至少一个处理器能够:
    近距离感应电子货架标签,确定所述电子货架标签发出的感应信号强度;
    根据所述感应信号强度,确定所述电子货架标签的位置;
    根据所述位置,靠近所述电子货架标签,以便从所述电子货架标签中读取出商品信息;以及,
    对所述电子货架标签对应的货架上的商品进行摄像,得到图像;
    将所述商品信息和所述图像发送给服务器,以使所述服务器根据所述图像,视觉识 别出商品数量,以及根据所述商品信息和所述商品数量,进行盘点。
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