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WO2018137136A1 - Vending machine and operation method thereof - Google Patents

Vending machine and operation method thereof Download PDF

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Publication number
WO2018137136A1
WO2018137136A1 PCT/CN2017/072468 CN2017072468W WO2018137136A1 WO 2018137136 A1 WO2018137136 A1 WO 2018137136A1 CN 2017072468 W CN2017072468 W CN 2017072468W WO 2018137136 A1 WO2018137136 A1 WO 2018137136A1
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WO
WIPO (PCT)
Prior art keywords
sale
background server
processor
shelf
vending machine
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Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
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PCT/CN2017/072468
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French (fr)
Chinese (zh)
Inventor
吴天祥
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangzhou Yidao Hulianwang Co Ltd
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Guangzhou Yidao Hulianwang Co Ltd
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Application filed by Guangzhou Yidao Hulianwang Co Ltd filed Critical Guangzhou Yidao Hulianwang Co Ltd
Priority to PCT/CN2017/072468 priority Critical patent/WO2018137136A1/en
Publication of WO2018137136A1 publication Critical patent/WO2018137136A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07FCOIN-FREED OR LIKE APPARATUS
    • G07F11/00Coin-freed apparatus for dispensing, or the like, discrete articles

Definitions

  • the invention relates to the technical field of vending machines, in particular to a vending machine and a running method thereof.
  • Vending machines are common equipment for commercial automation. They are not limited by time and place, saving manpower and facilitating transactions.
  • vending machines on the market mainly purchase in the form of first payment and pick-up, and the products for sale are displayed on the shelves.
  • the user selects the corresponding products through certain operation methods, and then completes the coin or other payment form.
  • the vending machine releases the merchandise purchased by the user.
  • the vending machine of this structure needs to display the merchandise, so the shelf capacity is small, the freight lane cost is high, and the user needs to select the merchandise and then perform one.
  • the series operation can then complete the payment, and for vending machine maintenance personnel, when replenishing the merchandise, it is necessary to strictly place the merchandise on the designated position on the shelf. Once placed incorrectly, the actual transaction merchandise will be In the case of inconsistent purchases by users, it is easy to cause trading risks.
  • the existing vending machine has a large freight yard cost, and has the defects that the user purchase process is complicated and the maintenance requirements are high.
  • a vending machine includes a box body and a built-in shelf thereof, wherein the box body is provided with a camera;
  • the camera is connected to a processor, and the processor is connected to the background server through a network;
  • the camera captures real-time image information of the goods for sale on the shelf, and sends the information to the background server through the processor;
  • the camera captures real-time image information of the goods for sale on the shelf, and identifies the first item for sale and the first quantity on the shelf according to the real-time image information;
  • the background server determines the type and quantity of the extracted goods for sale according to the first item for sale and the first quantity, and performs settlement according to the type and quantity of the item for sale.
  • the mobile intelligent terminal accesses the background server by using the account, and the background server initiates a shopping process, acquires the extracted types and quantities of the goods for sale, and performs a settlement process on the account according to the type and quantity of the products for sale.
  • the vending machine of the present invention and the operating method thereof use the camera on the upper part of the shelf to acquire image data of the goods for sale, and the background server uses the image data to identify and calculate the type and quantity of the goods for sale, and reduce the cost of the goods lane. Increase the shelf capacity, but also reduce the complexity of the user's purchase process and reduce maintenance requirements.
  • Figure 1 is a partial structural schematic view of a vending machine of the present invention
  • Figure 2 is a plan view of a shelf of an embodiment
  • Fig. 3 is a circuit configuration diagram of a vending machine of an embodiment.
  • FIG. 1 is a partial schematic structural view of a vending machine according to the present invention, which mainly includes a cabinet 10 and a built-in shelf 110 therein.
  • the camera 10 is provided with a camera 120; the camera 120 is connected to the processing.
  • the processor 140 is connected to the background server 20 through a network; wherein the location of the camera 120 can be selected according to actual needs;
  • the camera 120 captures real-time image information of the goods for sale on the shelf 110, and identifies the first type of goods for sale and the first quantity on the shelf 110 according to the real-time image information;
  • the background server 20 determines the type and quantity of the goods for sale extracted according to the first type of goods for sale and the first quantity, and performs settlement according to the type and quantity of the items for sale.
  • the vending machine uses the picture information of the appearance of the goods for sale as the identification basis, and the solution of the above embodiment is different from the manner in which the conventional vending machine extracts the goods for sale, and the box 10 can be opened for sale by opening the door.
  • the way of the goods the way the user directly extracts the goods by opening the door, thereby reducing the cost of the goods lane, and avoiding the way of fixing the goods in a fixed position in the conventional manner, and reducing the maintenance requirements.
  • the real-time image information may be a static picture or a dynamic video.
  • an image comparison method based on still pictures may be employed, that is, a static picture
  • the film is compared with pre-stored pictures for sale, and can also be identified by video recognition based on dynamic video.
  • the identification process execution process may be completed locally at the vending machine or on the server side.
  • the local processor 140 does not need a very strong capability, and it can be considered to perform the recognition process on the processor 140, that is, the processor 140 pairs the real-time image.
  • the information is processed to identify the first item of merchandise for sale and the first quantity of the item for sale, and send it to the background server 20; thus the hardware cost is not high, and the central processing pressure of the background server 20 can also be reduced. , reducing the requirements on network bandwidth.
  • the processor 140 transmits the real-time image information to the background server 20; the background server 20 performs arithmetic processing on the real-time image information.
  • a first sale item category and a first quantity of the item for sale are identified and settled.
  • the vending machine local and background server 20 may also be combined with the identification scheme, that is, the processor 140 extracts the feature vector of the map from the real-time image information, and then sends the feature vector to the background server 20;
  • the server 20 calculates the feature vector and the pre-stored product image for sale, and identifies the first item of the item for sale and the first quantity of the item for sale.
  • the processor 140 processes the data semi-finished product. Through the network transmission to the background server 20 for comparison, the amount of data transmission is small, which not only reduces the hardware requirements for the processor 140, but also reduces the network bandwidth requirements.
  • the above embodiment provides three solutions.
  • the user of the patent can comprehensively evaluate and select the corresponding solution according to the network condition, the database size, the vending machine local and the background server 20 end hardware processing capability.
  • the scheme of the vending machine of the present invention can also be set as follows:
  • the vending machine includes a cabinet 10 and a built-in shelf 110, a bottom of the shelf 110 is provided with a camera 120, and a gravity sensor 130 is disposed at the bottom of the shelf 110;
  • the camera 120 and the gravity sensor 130 are respectively connected to the processor 140, the processor 140 is connected to the background server 20 through a network;
  • the camera 120 captures real-time image information of the goods for sale on the shelf 110, and sends it to the background server 20 through the processor 140;
  • the gravity sensor 130 detects the change weight of the shelf 110 before and after the item for sale is sent to the background server 20 by the processor 140;
  • the background server 20 calculates the real-time image information and the for-preferred product image pre-existing in the background server 20, and identifies the first for-sell item category and the first quantity on the shelf 110; according to the change weight and pre-existence Determining, by the background server 20, the weight of each type of item for sale, determining the second type and the second quantity of the item for sale; determining, according to the first item of the item for sale and the first quantity, and the second category and the second quantity The type and quantity of goods for sale.
  • the type and quantity of the goods for sale on the shelf 110 can be identified by the real-time image information; the type and quantity of the goods for sale can also be determined by using the changed weight; and the types of goods for sale finally determined by using the above two identification results And quantity, which improves the accuracy of recognition.
  • the vending machine of the present invention may further include a control lock 150 mounted on the door of the cabinet 10, the control lock 150 being coupled to the processor 140; wherein the control lock 150 may be magnetically locked or electrically inserted. Lock or electric lock, etc.
  • the background server 20 controls the opening of the door of the cabinet 10 by the processor 140 and detects a door closing signal.
  • FIG. 2 is a plan view of a shelf of an embodiment.
  • the number of the cameras 120 may be four, which are respectively installed at four corner positions on the shelf 110, and the shelf 110 is taken from four angles. Real-time image information of the goods sold.
  • the vending machine of the present invention may further include an on-beam photoelectric sensor 160 disposed in front of the shelf 110, the pair of photoelectric sensors 160 being disposed on both sides of the shelf 110 for detecting a blocking signal and detecting Upon the blocking signal, a signal is sent to the processor 140, which turns on the camera 120 and the gravity sensor 130.
  • the vending machine of the present invention may further include a two-dimensional code tag 310 disposed outside the casing 10, the user scanning the two-dimensional code tag 310 using the mobile intelligent terminal, accessing the background server 20, and performing the settlement by the background server 20.
  • the process; through the two-dimensional code tag 310, the mobile intelligent terminal can be quickly accessed and operated.
  • the vending machine may also include a card swiping machine 320 disposed outside the cabinet 10 for reading user card information, accessing the background server 20, and the background server 20 performing a settlement process.
  • the vending machine may further include a biological information collection device 330 disposed outside the cabinet 10 for collecting biometric information of the user, accessing the background server 20, and the background server 20 performing a settlement process; wherein the biometric information includes Fingerprint information, palm print information, palm vein information, finger vein information, eye red film information, or face information.
  • a biological information collection device 330 disposed outside the cabinet 10 for collecting biometric information of the user, accessing the background server 20, and the background server 20 performing a settlement process; wherein the biometric information includes Fingerprint information, palm print information, palm vein information, finger vein information, eye red film information, or face information.
  • the shelf 110 is a multi-layer shelf 110, and a camera 120 is disposed on each shelf 110 and The gravity sensor 130 is separately designed by multiple layers, so that in actual use, when the user selects a product for sale on a certain shelf 110, the detection on the other shelves 110 is not triggered, thereby improving the processing speed and enabling rapid processing. inventory.
  • FIG. 3 is a circuit diagram of a vending machine of an embodiment.
  • the main circuit portion of the vending machine includes a processor 140, and a camera 120, a gravity sensor 130, and a control lock 150 respectively connected to the processor 140;
  • the processor 140 connects to the background server 20 through the network to implement data processing and forwarding control functions; the background server 20 can connect to multiple vending machines.
  • the operating method of the vending machine includes the following:
  • the mobile intelligent terminal accesses the background server 20 by using the account, and the background server 20 initiates a shopping process, acquires the extracted types and quantities of goods for sale, and performs a settlement process on the account.
  • the mobile intelligent terminal may scan the two-dimensional code tag 310 disposed outside the box 10, log in and access the background server 20 by using the account, and the background server 20 starts the settlement process.
  • the mobile smart terminal can be a smart phone, a tablet or a PDA.
  • biometric information collection as an example, through the fingerprint identifier, the user uses the personal fingerprint, enters the fingerprint information and sends it to the background server, or through the face recognizer, the user recognizes the face information and sends the face information to the background server.
  • the credit card machine can be a credit card machine such as a bank card, a transportation card, or a company employee card.
  • the client software of the type such as Alipay, WeChat, Bank APP, and various dedicated APPs may be used for settlement, and details are not described herein again.
  • the door 140 is sent by the processor 140, and the processor 140 opens the control lock 150 installed on the door of the box 10.
  • the background server 20 obtains the door closing signal of the door 10 through the processor 140, and after obtaining the door closing signal, settles the account according to the type and quantity of the goods for sale.
  • the vending machine works as follows:
  • the user scans the two-dimensional code label 310 through the payment tool. After the door of the box 10 is opened, the user reaches out to a certain shelf 110 to select the item for sale, and the hand passes through the opposite side of the shelf 110.
  • the photoelectric sensor 160 is used, the camera 120 at the top of the shelf 110 and the gravity sensor 130 at the bottom of the shelf 110 start to work. If the user takes one or more of the items for sale, the camera 110 captures real-time image information, and the background server 20 identifies the shelf. 110 The type and quantity of the goods for sale, and detecting the door signal of the vending authority.
  • the background server 20 starts the settlement process by comparing the type and quantity of the goods for sale before and after the door is opened, and gravity
  • the sensor 130 calculates the change of gravity occurring before and after closing the door, confirms the type and quantity of the goods for sale extracted by the user, and avoids the calculation error of the image recognition sensor caused by the disorder of the goods for sale; the background server 20 determines the goods for sale by the user. And the amount, calculate the amount of the payment, and deduct the money from the account to complete the purchase.
  • the shopping flow can be as follows:
  • the user closes the door after selecting the item for sale, and the processor 140 detects the door closing signal and sends it to the background server 20. After receiving the door closing signal, the background server 20 performs settlement and deducts the payment by the payment instrument.
  • the mobile intelligent terminal in the embodiment of the present invention may be any terminal device such as a smart phone, a tablet computer, or a PDA; the payment tool may use a payment tool such as Alipay or WeChat.
  • the user opens the door of the vending machine by operating the smart terminal, and the user can directly extract the goods for sale from the shelf without other operations, and after the goods are extracted, the user closes the door, and the background server can calculate The type and quantity of goods for sale extracted by the user are then billed and settled, and the automatic deduction transaction is convenient; the cost of the goods lane is reduced. And for the vending machine maintenance personnel, when the product is replenished, the merchandise placement does not need to be strictly placed on the designated position on the shelf, and even if it is placed at random, the actual transaction product is not inconsistent with the product purchased by the user. To avoid triggering trading risks.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Control Of Vending Devices And Auxiliary Devices For Vending Devices (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Provided are a vending machine and an operation method thereof. The vending machine comprises a camera (120) connected to a processor (140). The processor (140) is connected to a backend server (20) by means of a network. The camera (120) acquires real-time image information of commodities for sale displayed on a shelf and transmits the same to the backend server (20) by means of the processor (140). The camera (120) acquires the real-time image information of the commodities for sale displayed on the shelf, and identifies a category and a first quantity of a first commodity for sale on the shelf. The backend server (20) determines, according to the category and the first quantity of the first commodity, a category and a quantity of a withdrawn commodity to calculate a payment amount. The above vending machine and the operation method thereof reduce operation complexity for a user in a purchase process and lower the requirement on maintenance.

Description

自动售货机及其运行方法Vending machine and operating method thereof 技术领域Technical field

本发明涉及售货机技术领域,特别是涉及一种自动售货机及其运行方法。The invention relates to the technical field of vending machines, in particular to a vending machine and a running method thereof.

背景技术Background technique

自动售货机是商业自动化的常用设备,不受时间、地点的限制,能节省人力、方便交易。Vending machines are common equipment for commercial automation. They are not limited by time and place, saving manpower and facilitating transactions.

目前,市面上的自动售货机主要是通过先支付后取货的形式进行购买,其待售商品陈列在货架上,用户通过一定操作方式,先选择好对应商品,然后投币或其他支付形式完成支付后,自动售货机再释放出用户所购买的商品,这种架构的自动售货机,由于需要将商品陈列,因此,货架容量较小,货道成本高,另外,用户需要选择商品后进行一系列操作然后才能够完成支付,而且对于自动售货机维护人员来说,补充商品的时候,必须要严格地将商品摆放到货架上的指定位置,一旦摆放错误,就会导致实际交易商品与用户购买的商品不一致的情况,容易引发交易风险。At present, vending machines on the market mainly purchase in the form of first payment and pick-up, and the products for sale are displayed on the shelves. The user selects the corresponding products through certain operation methods, and then completes the coin or other payment form. After the payment, the vending machine releases the merchandise purchased by the user. The vending machine of this structure needs to display the merchandise, so the shelf capacity is small, the freight lane cost is high, and the user needs to select the merchandise and then perform one. The series operation can then complete the payment, and for vending machine maintenance personnel, when replenishing the merchandise, it is necessary to strictly place the merchandise on the designated position on the shelf. Once placed incorrectly, the actual transaction merchandise will be In the case of inconsistent purchases by users, it is easy to cause trading risks.

由此可见,现有的自动售货机,货道成本大,而且存在用户购买过程操作比较复杂、维护要求高等缺陷。It can be seen that the existing vending machine has a large freight yard cost, and has the defects that the user purchase process is complicated and the maintenance requirements are high.

发明内容Summary of the invention

基于此,有必要针对上述现有自动售货机存在的货道成本大的技术缺陷,提供一种自动售货机及其运行方法,降低货道成本。Based on this, it is necessary to provide a vending machine and a running method thereof for the technical defects of the above-mentioned existing vending machines, which have a large freight yard cost, and reduce the freight yard cost.

一种自动售货机,包括箱体及其内置的货架,所述箱体内设置有摄像头;A vending machine includes a box body and a built-in shelf thereof, wherein the box body is provided with a camera;

所述摄像头连接至处理器,所述处理器通过网络连接后台服务器;The camera is connected to a processor, and the processor is connected to the background server through a network;

所述摄像头拍摄货架上待售商品的实时图像信息,通过处理器发送至后台服务器;The camera captures real-time image information of the goods for sale on the shelf, and sends the information to the background server through the processor;

所述摄像头拍摄货架上待售商品的实时图像信息,根据所述实时图像信息识别出货架上的第一待售商品种类和第一数量;The camera captures real-time image information of the goods for sale on the shelf, and identifies the first item for sale and the first quantity on the shelf according to the real-time image information;

所述后台服务器根据所述第一待售商品种类和第一数量确定被提取的待售商品的种类和数量,根据所述待售商品的种类和数量进行结算。 The background server determines the type and quantity of the extracted goods for sale according to the first item for sale and the first quantity, and performs settlement according to the type and quantity of the item for sale.

一种基于上述述自动售货机的运行方法,包括:A method for operating a vending machine based on the above, comprising:

移动智能终端利用帐户访问后台服务器,后台服务器发起购物流程,获取所述被提取的待售商品种类和数量,根据所述待售商品种类和数量,对所述账号执行结算流程。The mobile intelligent terminal accesses the background server by using the account, and the background server initiates a shopping process, acquires the extracted types and quantities of the goods for sale, and performs a settlement process on the account according to the type and quantity of the products for sale.

本发明的自动售货机及其运行方法,利用货架上部的摄像头获取待售商品的图像数据,在后台服务器利用图像数据识别并计算出被提取的待售商品种类和数量;降低了货道的成本、增加货架容量,而且也可以降低用户购买过程操作复杂度,并降低了维护要求。The vending machine of the present invention and the operating method thereof use the camera on the upper part of the shelf to acquire image data of the goods for sale, and the background server uses the image data to identify and calculate the type and quantity of the goods for sale, and reduce the cost of the goods lane. Increase the shelf capacity, but also reduce the complexity of the user's purchase process and reduce maintenance requirements.

附图说明DRAWINGS

图1是本发明的自动售货机的部分结构示意图;Figure 1 is a partial structural schematic view of a vending machine of the present invention;

图2是一个实施例的货架俯视图;Figure 2 is a plan view of a shelf of an embodiment;

图3是一个实施例的自动售货机的电路结构图。Fig. 3 is a circuit configuration diagram of a vending machine of an embodiment.

具体实施方式detailed description

下面结合附图阐述本发明的自动售货机及其运行方法的实施例。Embodiments of the vending machine of the present invention and its operating method will be described below with reference to the accompanying drawings.

参考图1所示,图1是本发明的自动售货机的部分结构示意图,主要包括箱体10及其内置的货架110,所述箱体10内设置有摄像头120;所述摄像头120连接至处理器140,所述处理器140通过网络连接后台服务器20;其中,所述摄像头120的位置可以根据实际需求进行选择;Referring to FIG. 1 , FIG. 1 is a partial schematic structural view of a vending machine according to the present invention, which mainly includes a cabinet 10 and a built-in shelf 110 therein. The camera 10 is provided with a camera 120; the camera 120 is connected to the processing. The processor 140 is connected to the background server 20 through a network; wherein the location of the camera 120 can be selected according to actual needs;

所述摄像头120拍摄货架110上待售商品的实时图像信息,根据所述实时图像信息识别出货架110上的第一待售商品种类和第一数量;The camera 120 captures real-time image information of the goods for sale on the shelf 110, and identifies the first type of goods for sale and the first quantity on the shelf 110 according to the real-time image information;

所述后台服务器20根据所述第一待售商品种类和第一数量确定被提取的待售商品的种类和数量,根据所述待售商品的种类和数量进行结算。The background server 20 determines the type and quantity of the goods for sale extracted according to the first type of goods for sale and the first quantity, and performs settlement according to the type and quantity of the items for sale.

上述技术方案中,自动售货机通过将待售商品的外观的图片信息作为识别依据,上述实施例的方案,与传统的自动售货机提取待售商品方式不同,箱体10可以采用开门提取待售商品的方式,用户通过开门直接提取商品的方式,从而减少了货道成本,也避免了传统方式中固定位置来识别商品的方式,降低了维护要求。In the above technical solution, the vending machine uses the picture information of the appearance of the goods for sale as the identification basis, and the solution of the above embodiment is different from the manner in which the conventional vending machine extracts the goods for sale, and the box 10 can be opened for sale by opening the door. The way of the goods, the way the user directly extracts the goods by opening the door, thereby reducing the cost of the goods lane, and avoiding the way of fixing the goods in a fixed position in the conventional manner, and reducing the maintenance requirements.

在上述技术方案中,所述实时图像信息可以是静态图片或动态视频。在利用实时图像信息识别待售商品的种类和数量时,可以采用基于静态图片的图像比对方式,即将静态图 片与预存的待售商品图片进行比对,也可以采用基于动态视频的视频识别方式进行识别。In the above technical solution, the real-time image information may be a static picture or a dynamic video. When real-time image information is used to identify the type and quantity of goods for sale, an image comparison method based on still pictures may be employed, that is, a static picture The film is compared with pre-stored pictures for sale, and can also be identified by video recognition based on dynamic video.

作为实施例,由于自动售货机需要联网到后台服务器20进行订单结算,因此,对于识别处理执行过程,可以在自动售货机本地完成,也可以在服务器端完成。As an embodiment, since the vending machine needs to be networked to the background server 20 for order settlement, the identification process execution process may be completed locally at the vending machine or on the server side.

考虑到当前硬件功能越来越强大,如果处理有限品类待售商品的图像,在本地的处理器140不需要非常强的能力,可以考虑在处理器140执行识别流程,即处理器140对实时图像信息进行运算处理,识别所述待售商品的第一待售商品种类和第一数量,并将其发送至后台服务器20;这样硬件成本并不高,同时也可以降低后台服务器20的中央处理压力,降低对网络带宽的要求。Considering that the current hardware functions are becoming more and more powerful, if the image of the limited item for sale is processed, the local processor 140 does not need a very strong capability, and it can be considered to perform the recognition process on the processor 140, that is, the processor 140 pairs the real-time image. The information is processed to identify the first item of merchandise for sale and the first quantity of the item for sale, and send it to the background server 20; thus the hardware cost is not high, and the central processing pressure of the background server 20 can also be reduced. , reducing the requirements on network bandwidth.

另外,如果考虑到待售商品的类别较多情况,可以全部信息处理在后台服务器20上完成;即处理器140将实时图像信息发送至后台服务器20;后台服务器20对实时图像信息进行运算处理,识别所述待售商品的第一待售商品种类和第一数量,并进行结算。In addition, if a large number of categories of goods for sale are considered, all information processing can be completed on the background server 20; that is, the processor 140 transmits the real-time image information to the background server 20; the background server 20 performs arithmetic processing on the real-time image information. A first sale item category and a first quantity of the item for sale are identified and settled.

作为实施例,也可以采用自动售货机本地和后台服务器20结合识别方案,即处理器140从所述实时图像信息中提取出图的特征向量,然后将特征向量发送至所述后台服务器20;后台服务器20将所述特征向量与预存的待售商品图片进行运算,识别所述待售商品的第一待售商品种类和第一数量;该技术方案中,处理器140处理过程产生的是数据半成品,通过网络传输到后台服务器20进行比对,数据传输量较小,既降低了对处理器140的硬件要求,也降低了对网络带宽的要求。As an embodiment, the vending machine local and background server 20 may also be combined with the identification scheme, that is, the processor 140 extracts the feature vector of the map from the real-time image information, and then sends the feature vector to the background server 20; The server 20 calculates the feature vector and the pre-stored product image for sale, and identifies the first item of the item for sale and the first quantity of the item for sale. In the technical solution, the processor 140 processes the data semi-finished product. Through the network transmission to the background server 20 for comparison, the amount of data transmission is small, which not only reduces the hardware requirements for the processor 140, but also reduces the network bandwidth requirements.

上述实施例提供了三种方案,本专利使用者可以根据网络情况、数据库大小、自动售货机本地和后台服务器20端硬件处理能力三个方面综合评估选择采用相应的方案。The above embodiment provides three solutions. The user of the patent can comprehensively evaluate and select the corresponding solution according to the network condition, the database size, the vending machine local and the background server 20 end hardware processing capability.

作为实施例,本发明的自动售货机的方案,还可以设置如下:As an embodiment, the scheme of the vending machine of the present invention can also be set as follows:

该自动售货机包括箱体10及内置的货架110,所述货架110的底部设置有摄像头120,所述货架110底部设置有重力传感器130;The vending machine includes a cabinet 10 and a built-in shelf 110, a bottom of the shelf 110 is provided with a camera 120, and a gravity sensor 130 is disposed at the bottom of the shelf 110;

所述摄像头120和重力传感器130分别连接至处理器140,所述处理器140通过网络连接后台服务器20;The camera 120 and the gravity sensor 130 are respectively connected to the processor 140, the processor 140 is connected to the background server 20 through a network;

所述摄像头120拍摄货架110上待售商品的实时图像信息,通过处理器140发送至后台服务器20;The camera 120 captures real-time image information of the goods for sale on the shelf 110, and sends it to the background server 20 through the processor 140;

所述重力传感器130检测货架110的待售商品被提取前后的变化重量,通过处理器140发送至后台服务器20; The gravity sensor 130 detects the change weight of the shelf 110 before and after the item for sale is sent to the background server 20 by the processor 140;

所述后台服务器20将所述实时图像信息与预存在后台服务器20的待售商品图片进行运算,识别出货架110上的第一待售商品种类和第一数量;根据所述变化重量和预存在后台服务器20的各个种类待售商品的重量,确定被提取待售商品的第二种类和第二数量;根据所述第一待售商品种类和第一数量以及第二种类和第二数量确定被提取的待售商品种类和数量。The background server 20 calculates the real-time image information and the for-preferred product image pre-existing in the background server 20, and identifies the first for-sell item category and the first quantity on the shelf 110; according to the change weight and pre-existence Determining, by the background server 20, the weight of each type of item for sale, determining the second type and the second quantity of the item for sale; determining, according to the first item of the item for sale and the first quantity, and the second category and the second quantity The type and quantity of goods for sale.

由实时图像信息可以识别出货架110上的待售商品种类和数量;利用变化重量也可以确定被提取待售商品的种类和数量;利用上述两个识别结果,最终确定被提取的待售商品种类和数量,提高了识别准确性。The type and quantity of the goods for sale on the shelf 110 can be identified by the real-time image information; the type and quantity of the goods for sale can also be determined by using the changed weight; and the types of goods for sale finally determined by using the above two identification results And quantity, which improves the accuracy of recognition.

作为实施例,本发明的自动售货机,还可以包括安装在箱体10门上的控制锁具150,所述控制锁具150连接处理器140;其中,所述控制锁具150可以采用磁力锁、电插锁或电控锁等。所述后台服务器20通过处理器140控制所述箱体10门的打开,并检测关门信号。As an embodiment, the vending machine of the present invention may further include a control lock 150 mounted on the door of the cabinet 10, the control lock 150 being coupled to the processor 140; wherein the control lock 150 may be magnetically locked or electrically inserted. Lock or electric lock, etc. The background server 20 controls the opening of the door of the cabinet 10 by the processor 140 and detects a door closing signal.

作为实施例,参考图2,图2是一个实施例的货架俯视图,所述摄像头120的数量可以为四个,分别安装在货架110上的四个角落位置,从四个角度拍摄货架110上待售商品的实时图像信息。As an embodiment, referring to FIG. 2, FIG. 2 is a plan view of a shelf of an embodiment. The number of the cameras 120 may be four, which are respectively installed at four corner positions on the shelf 110, and the shelf 110 is taken from four angles. Real-time image information of the goods sold.

作为实施例,本发明的自动售货机还可以包括设置在货架110前的对射式光电传感器160,所述对射式光电传感器160设置在货架110两侧,用于检测阻挡信号,并在检测到该阻挡信号时,发送信号至处理器140,所述处理器140开启所述摄像头120和重力传感器130。As an embodiment, the vending machine of the present invention may further include an on-beam photoelectric sensor 160 disposed in front of the shelf 110, the pair of photoelectric sensors 160 being disposed on both sides of the shelf 110 for detecting a blocking signal and detecting Upon the blocking signal, a signal is sent to the processor 140, which turns on the camera 120 and the gravity sensor 130.

作为实施例,本发明的自动售货机还可以包括设置在箱体10外部的二维码标签310,用户使用移动智能终端扫描所述二维码标签310,访问后台服务器20,后台服务器20执行结算流程;通过二维码标签310,可以利用移动智能终端快速地访问和操作。As an embodiment, the vending machine of the present invention may further include a two-dimensional code tag 310 disposed outside the casing 10, the user scanning the two-dimensional code tag 310 using the mobile intelligent terminal, accessing the background server 20, and performing the settlement by the background server 20. The process; through the two-dimensional code tag 310, the mobile intelligent terminal can be quickly accessed and operated.

所述自动售货机也还可以包括设置在箱体10外部的刷卡机320,用于读取用户刷卡信息,访问后台服务器20,后台服务器20执行结算流程。The vending machine may also include a card swiping machine 320 disposed outside the cabinet 10 for reading user card information, accessing the background server 20, and the background server 20 performing a settlement process.

另外,所述自动售货机也可以包括设置在箱体10外部的生物信息采集装置330,用于采集用户的生物信息,访问后台服务器20,后台服务器20执行结算流程;其中,所述生物信息包括指纹信息、掌纹信息、掌静脉信息、指静脉信息、眼红膜信息或人脸信息。In addition, the vending machine may further include a biological information collection device 330 disposed outside the cabinet 10 for collecting biometric information of the user, accessing the background server 20, and the background server 20 performing a settlement process; wherein the biometric information includes Fingerprint information, palm print information, palm vein information, finger vein information, eye red film information, or face information.

作为实施例,所述货架110为多层货架110,每层货架110上分别设置摄像头120和 重力传感器130;通过多层分别设计,这样在实际使用当中,用户到某一层货架110上进行选择待售商品时,不会触发其他货架110上的检测,从而可以提高处理速度,能够快速进行盘点。As an embodiment, the shelf 110 is a multi-layer shelf 110, and a camera 120 is disposed on each shelf 110 and The gravity sensor 130 is separately designed by multiple layers, so that in actual use, when the user selects a product for sale on a certain shelf 110, the detection on the other shelves 110 is not triggered, thereby improving the processing speed and enabling rapid processing. inventory.

参考图3所示,图3一个实施例的自动售货机的电路结构图,自动售货机的主要电路部分包括处理器140,以及分别连接处理器140的摄像头120、重力传感器130和控制锁具150;处理器140通过网络连接后台服务器20,实现数据处理和转发控制作用;后台服务器20可以连接多台自动售货机。Referring to FIG. 3, FIG. 3 is a circuit diagram of a vending machine of an embodiment. The main circuit portion of the vending machine includes a processor 140, and a camera 120, a gravity sensor 130, and a control lock 150 respectively connected to the processor 140; The processor 140 connects to the background server 20 through the network to implement data processing and forwarding control functions; the background server 20 can connect to multiple vending machines.

基于上述的自动售货机,本发明提供的自动售货机的运行方法,包括如下:Based on the above vending machine, the operating method of the vending machine provided by the present invention includes the following:

移动智能终端利用帐户访问后台服务器20,后台服务器20发起购物流程,获取所述被提取的待售商品种类和数量,对所述账号执行结算流程。The mobile intelligent terminal accesses the background server 20 by using the account, and the background server 20 initiates a shopping process, acquires the extracted types and quantities of goods for sale, and performs a settlement process on the account.

进一步的,所述移动智能终端可以扫描设置在箱体10外部的二维码标签310,利用所述账号登录访问后台服务器20,后台服务器20开启结算流程。移动智能终端可以是智能手机,平板电脑或PDA等。Further, the mobile intelligent terminal may scan the two-dimensional code tag 310 disposed outside the box 10, log in and access the background server 20 by using the account, and the background server 20 starts the settlement process. The mobile smart terminal can be a smart phone, a tablet or a PDA.

以生物信息采集为例,通过指纹识别器,用户使用个人指纹,录入指纹信息发送到后台服务器,或通过人脸识别器,用户通过靠近识别区识别,录入人脸信息发送至后台服务器。Taking biometric information collection as an example, through the fingerprint identifier, the user uses the personal fingerprint, enters the fingerprint information and sends it to the background server, or through the face recognizer, the user recognizes the face information and sends the face information to the background server.

以刷卡机为例,可以是银行卡,交通卡,公司员工卡等的刷卡机。Take the credit card machine as an example, it can be a credit card machine such as a bank card, a transportation card, or a company employee card.

上述实施例中,对于后台服务器20,可以使用支付宝,微信,银行APP,各种专用APP等类型的客户端软件进行结算,在此不再赘述。In the foregoing embodiment, for the background server 20, the client software of the type such as Alipay, WeChat, Bank APP, and various dedicated APPs may be used for settlement, and details are not described herein again.

进一步的,所述后台服务器20开启结算流程后,通过处理器140发送开门信号,所述处理器140打开安装在箱体10门上的控制锁具150。Further, after the background server 20 starts the settlement process, the door 140 is sent by the processor 140, and the processor 140 opens the control lock 150 installed on the door of the box 10.

进一步的,所述后台服务器20通过处理器140获取箱体10门的关门信号,并在获取到关门信号后,根据被提取的待售商品的种类和数量,对所述账号进行结算。Further, the background server 20 obtains the door closing signal of the door 10 through the processor 140, and after obtaining the door closing signal, settles the account according to the type and quantity of the goods for sale.

作为应用实例,自动售货机工作原理如下:As an application example, the vending machine works as follows:

假设自动售货机有多层,用户通过支付工具扫描二维码标签310,箱体10门打开后,用户伸手到某一层货架110选择待售商品,当手经过货架110两侧的对射式光电感应器160时,此层货架110顶部的摄像头120和底部的重力传感器130开始工作,如果用户取走其中一个或多个待售商品,摄像头110拍摄实时图像信息,后台服务器20识别此层货架110 上的待售商品的种类和数量,并检测自动售货机关门信号,当检测到关门后,后台服务器20开始进行结算流程,通过对比开关门前后的待售商品的种类和数量,同时重力传感器130会计算关门前后发生的重力变化,确认用户提取的待售商品的种类和数量,避免因待售商品摆放错乱而造成图像识别传感器的计算错误;后台服务器20确定用户提取的待售商品及其数量,计算出收款数额,并从帐户中扣除款项,完成购物。Assuming that the vending machine has multiple layers, the user scans the two-dimensional code label 310 through the payment tool. After the door of the box 10 is opened, the user reaches out to a certain shelf 110 to select the item for sale, and the hand passes through the opposite side of the shelf 110. When the photoelectric sensor 160 is used, the camera 120 at the top of the shelf 110 and the gravity sensor 130 at the bottom of the shelf 110 start to work. If the user takes one or more of the items for sale, the camera 110 captures real-time image information, and the background server 20 identifies the shelf. 110 The type and quantity of the goods for sale, and detecting the door signal of the vending authority. When the door is detected to be closed, the background server 20 starts the settlement process by comparing the type and quantity of the goods for sale before and after the door is opened, and gravity The sensor 130 calculates the change of gravity occurring before and after closing the door, confirms the type and quantity of the goods for sale extracted by the user, and avoids the calculation error of the image recognition sensor caused by the disorder of the goods for sale; the background server 20 determines the goods for sale by the user. And the amount, calculate the amount of the payment, and deduct the money from the account to complete the purchase.

基于本发明实施例提供的自动售货机,作为一个应用示例,其购物流程可以如下:According to the vending machine provided by the embodiment of the present invention, as an application example, the shopping flow can be as follows:

1)用户利用持有的移动智能终端,启动支付工具;1) The user activates the payment tool by using the held mobile intelligent terminal;

2)利用支付工具扫描二维码标签310,登录后台服务器20,注册成为会员;2) Scan the QR code tag 310 by using the payment tool, log in to the background server 20, and register as a member;

3)再次扫描二维码标签310,启动购物流程,后台服务器20下发控制信号控制控制锁具150打开箱体10的门;3) scanning the two-dimensional code label 310 again, starting the shopping process, and the background server 20 sends a control signal to control the control lock 150 to open the door of the box 10;

4)用户选择待售商品;4) The user selects the item for sale;

5)用户在选择待售商品后关门,处理器140检测到关门信号,发送至后台服务器20,后台服务器20收到关门信号后,进行结算,通过支付工具扣款。5) The user closes the door after selecting the item for sale, and the processor 140 detects the door closing signal and sends it to the background server 20. After receiving the door closing signal, the background server 20 performs settlement and deducts the payment by the payment instrument.

本发明实施例的移动智能终端可以是智能手机、平板电脑、PDA等任意终端设备;支付工具可以采用诸如支付宝、微信等类型的支付工具。The mobile intelligent terminal in the embodiment of the present invention may be any terminal device such as a smart phone, a tablet computer, or a PDA; the payment tool may use a payment tool such as Alipay or WeChat.

采用本发明的技术方案,用户通过移动智能终端操作,打开自动售货机的门,用户可以直接从货架上提取待售商品,无需其他操作,而提取商品后,用户关上门,后台服务器即可计算出用户提取的待售商品种类和数量,然后计费并进行结算,自动扣款交易方便;减少了货道的成本。并且对于自动售货机维护人员来说,补充商品的时候,商品摆放无需严格地摆放到货架上的指定位置,即使随意摆放,也不会导致实际交易商品与用户购买的商品不一致的情况,避免引发交易风险。With the technical solution of the present invention, the user opens the door of the vending machine by operating the smart terminal, and the user can directly extract the goods for sale from the shelf without other operations, and after the goods are extracted, the user closes the door, and the background server can calculate The type and quantity of goods for sale extracted by the user are then billed and settled, and the automatic deduction transaction is convenient; the cost of the goods lane is reduced. And for the vending machine maintenance personnel, when the product is replenished, the merchandise placement does not need to be strictly placed on the designated position on the shelf, and even if it is placed at random, the actual transaction product is not inconsistent with the product purchased by the user. To avoid triggering trading risks.

以上所述实施例的各技术特征可以进行任意的组合,为使描述简洁,未对上述实施例中的各个技术特征所有可能的组合都进行描述,然而,只要这些技术特征的组合不存在矛盾,都应当认为是本说明书记载的范围。The technical features of the above-described embodiments may be arbitrarily combined. For the sake of brevity of description, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction between the combinations of these technical features, All should be considered as the scope of this manual.

以上所述实施例仅表达了本发明的几种实施方式,其描述较为具体和详细,但并不能因此而理解为对发明专利范围的限制。应当指出的是,对于本领域的普通技术人员来说,在不脱离本发明构思的前提下,还可以做出若干变形和改进,这些都属于本发明的保护范围。因此,本发明专利的保护范围应以所附权利要求为准。 The above-described embodiments are merely illustrative of several embodiments of the present invention, and the description thereof is more specific and detailed, but is not to be construed as limiting the scope of the invention. It should be noted that a number of variations and modifications may be made by those skilled in the art without departing from the spirit and scope of the invention. Therefore, the scope of the invention should be determined by the appended claims.

Claims (10)

一种自动售货机,包括箱体(10)及其内置的货架(110),其特征在于,所述箱体(10)内设置有摄像头(120);A vending machine, comprising a box (10) and a built-in shelf (110), wherein the box (10) is provided with a camera (120); 所述摄像头(120)连接至处理器(140),所述处理器(140)通过网络连接后台服务器(20);The camera (120) is connected to a processor (140), the processor (140) is connected to the background server (20) through a network; 所述摄像头(120)拍摄货架(110)上待售商品的实时图像信息,根据所述实时图像信息识别出货架(110)上的第一待售商品种类和第一数量;The camera (120) captures real-time image information of the item for sale on the shelf (110), and identifies the first item of the item for sale and the first quantity on the shelf (110) according to the real-time image information; 所述后台服务器(20)根据所述第一待售商品种类和第一数量确定被提取的待售商品的种类和数量,根据所述待售商品的种类和数量进行结算。The background server (20) determines the type and quantity of the extracted goods for sale according to the first item for sale and the first quantity, and performs settlement according to the type and quantity of the item for sale. 根据权利要求1所述的自动售货机,其特征在于,所述处理器(140)将实时图像信息发送至后台服务器(20);后台服务器(20)对实时图像信息进行运算处理,识别所述待售商品的第一待售商品种类和第一数量;The vending machine according to claim 1, wherein said processor (140) transmits real-time image information to a background server (20); and the background server (20) performs arithmetic processing on the real-time image information to identify said The first type of goods for sale and the first quantity of the goods for sale; or 所述处理器(140)对实时图像信息行运算处理,识别所述待售商品的第一待售商品种类和第一数量,并将其发送至后台服务器(20);The processor (140) performs real-time image information row operation processing, identifies the first for-sell item category and the first quantity of the for-sold item for sale, and sends it to the background server (20); 其中,所述实时图像信息包括静态图片或动态视频;所述对实时图像信息行运算处理的方法包括:基于静态图片比对方式将静态图片与预存的待售商品图片进行比对,或基于视频分析方式对动态视频进行识别。The real-time image information includes a static picture or a dynamic video; the method for processing the real-time image information line includes: comparing the static picture with the pre-stored product image for sale based on the static picture comparison manner, or based on the video The analysis method identifies the dynamic video. 根据权利要求1所述的自动售货机,其特征在于,所述处理器(140)从所述实时图像信息中提取出图的特征向量,然后将特征向量发送至所述后台服务器(20);所述后台服务器(20)将所述特征向量与预存的待售商品图片进行运算,识别所述待售商品的第一待售商品种类和第一数量。The vending machine according to claim 1, wherein the processor (140) extracts a feature vector of the map from the real-time image information, and then transmits the feature vector to the background server (20); The background server (20) operates the feature vector and the pre-stored product image for sale to identify the first item of the item for sale and the first quantity of the item for sale. 根据权利要求1至3任一项所述的自动售货机,其特征在于,所述货架(110)底部还设置有重力传感器(130),所述重力传感器(130)连接至处理器(140);The vending machine according to any one of claims 1 to 3, characterized in that the bottom of the shelf (110) is further provided with a gravity sensor (130), and the gravity sensor (130) is connected to the processor (140) ; 所述重力传感器(130)检测货架(110)的待售商品被提取前后的变化重量,通过处理器(140)发送至后台服务器(20);The gravity sensor (130) detects the change weight of the shelf (110) before and after the item for sale is sent to the background server (20) through the processor (140); 所述后台服务器(20)根据所述变化重量和预存在后台服务器(20)的各个种类待售商品的重量,确定被提取待售商品的第二种类和第二数量;并根据所述第一待售商品种类 和第一数量以及第二种类和第二数量确定被提取的待售商品种类和数量。The background server (20) determines a second category and a second quantity of the goods for sale for sale according to the changed weight and the weight of the various types of goods for sale pre-stored in the background server (20); and according to the first Type of goods for sale And the first quantity and the second category and the second quantity determine the kind and quantity of goods for sale that are extracted. 根据权利要求1所述的自动售货机,其特征在于,还包括安装在箱体(10)门上的控制锁具(150),所述控制锁具(150)连接处理器(140);其中,所述控制锁具(150)采用磁力锁、电插锁或电控锁。The vending machine according to claim 1, further comprising a control lock (150) mounted on the door of the case (10), the control lock (150) being coupled to the processor (140); The control lock (150) adopts a magnetic lock, an electric lock or an electric lock. 所述后台服务器(20)通过处理器(140)控制所述箱体(10)门的打开,并检测关门信号。The background server (20) controls the opening of the cabinet (10) by a processor (140) and detects a door closing signal. 根据权利要求1所述的自动售货机,其特征在于,还包括设置在货架(110)前的对射式光电传感器(160),所述对射式光电传感器(160)设置在货架(110)两侧,用于检测阻挡信号,并在检测到该阻挡信号时,发送信号至处理器(140),所述处理器(140)开启所述摄像头(120)和重力传感器(130)。The vending machine according to claim 1, further comprising an on-beam photoelectric sensor (160) disposed in front of the shelf (110), the through-beam photoelectric sensor (160) being disposed on the shelf (110) On both sides, for detecting a blocking signal, and when detecting the blocking signal, transmitting a signal to the processor (140), the processor (140) turning on the camera (120) and the gravity sensor (130). 根据权利要求1所述的自动售货机,其特征在于,还包括设置在箱体(10)外部的二维码标签(310),用户使用移动智能终端扫描所述二维码标签(310),访问后台服务器(20),后台服务器(20)执行结算流程;The vending machine according to claim 1, further comprising a two-dimensional code tag (310) disposed outside the case (10), the user scanning the two-dimensional code tag (310) using the mobile smart terminal, Accessing the background server (20), and the background server (20) performs the settlement process; or 还包括设置在箱体(10)外部的刷卡机(320),用于读取用户刷卡信息,访问后台服务器(20),后台服务器(20)执行结算流程;The utility model further comprises a card swiping machine (320) disposed outside the box body (10) for reading the user card swiping information, accessing the background server (20), and the background server (20) performing the settlement process; or 还包括设置在箱体(10)外部的生物信息采集装置(330),用于采集用户的生物信息,访问后台服务器(20),后台服务器(20)执行结算流程;其中,所述生物信息包括指纹信息、掌纹信息、掌静脉信息、指静脉信息、眼红膜信息或人脸信息。The utility model further includes a biological information collecting device (330) disposed outside the cabinet (10) for collecting biological information of the user, accessing the background server (20), and the background server (20) performing a settlement process; wherein the biological information includes Fingerprint information, palm print information, palm vein information, finger vein information, eye red film information, or face information. 根据权利要求4所述的自动售货机,其特征在于,所述货架(110)为多层货架(110),每层货架(110)上分别设置摄像头(120)和重力传感器(130)。The vending machine according to claim 4, wherein the shelf (110) is a multi-layer shelf (110), and a camera (120) and a gravity sensor (130) are respectively disposed on each shelf (110). 一种基于权利要求1至8任一项所述自动售货机的运行方法,其特征在于,包括:A method of operating a vending machine according to any one of claims 1 to 8, characterized in that it comprises: 移动智能终端利用帐户访问后台服务器(20),后台服务器(20)发起购物流程,获取所述被提取的待售商品种类和数量,根据所述待售商品种类和数量,对所述账号执行结算流程。The mobile intelligent terminal accesses the background server (20) by using an account, and the background server (20) initiates a shopping process, acquires the extracted types and quantities of goods for sale, and performs settlement on the account according to the type and quantity of the products for sale. Process. 根据权利要求9所述的自动售货机的运行方法,其特征在于,所述移动智能终端扫描设置在箱体(10)外部的二维码标签(30),利用所述账号登录访问后台服务器(20), 后台服务器(20)开启结算流程;The operating method of the vending machine according to claim 9, wherein the mobile intelligent terminal scans a two-dimensional code tag (30) disposed outside the cabinet (10), and uses the account to log in to access the background server ( 20), The background server (20) starts the settlement process; 所述后台服务器(20)开启结算流程后,通过处理器(140)发送开门信号,所述处理器(140)打开安装在箱体(10)门上的控制锁具(150);After the background server (20) starts the settlement process, the door opening signal is sent by the processor (140), and the processor (140) opens the control lock (150) installed on the door of the box (10); 所述后台服务器(20)通过处理器(140)获取箱体(10)门的关门信号,并在获取到关门信号后,根据被提取的待售商品的种类和数量,对所述账号进行结算。 The background server (20) obtains the door closing signal of the door (10) through the processor (140), and after the door closing signal is acquired, settles the account according to the type and quantity of the goods for sale extracted. .
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Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108710874A (en) * 2018-08-23 2018-10-26 深圳码隆科技有限公司 A kind of automatic vending machine based on image collecting device
CN109243096A (en) * 2018-10-26 2019-01-18 虫极科技(北京)有限公司 A kind of method of Intelligent cargo cabinet and determining commodity of taking
CN109615777A (en) * 2019-01-28 2019-04-12 西安鼎顺物联网科技有限公司 A kind of self-service selling cabinet
CN109858491A (en) * 2018-12-24 2019-06-07 合肥美的智能科技有限公司 Commodity recognition method, storage medium, vending machine and pattern recognition device
CN109872448A (en) * 2019-01-19 2019-06-11 创新奇智(广州)科技有限公司 A kind of foreign matter detecting method, computer readable storage medium and detection system
CN109948538A (en) * 2019-03-19 2019-06-28 成都好享你网络科技有限公司 The visual identity method, apparatus and automatic vending machine of Behavior-based control detection
CN111028421A (en) * 2019-12-26 2020-04-17 安徽点为科技有限公司 Vending device, vending system and control method of vending system
CN111126993A (en) * 2019-12-25 2020-05-08 腾讯科技(深圳)有限公司 Member settlement method and device, image acquisition equipment and storage medium
CN112419624A (en) * 2020-10-28 2021-02-26 福建中锐网络股份有限公司 Intelligent bookcase based on vision, gravity sensing and RFID fusion and working method thereof
CN112489288A (en) * 2020-11-14 2021-03-12 武汉盛硕电子有限公司 Vending cabinet and vending method based on image recognition
CN113723384A (en) * 2021-11-03 2021-11-30 武汉星巡智能科技有限公司 Intelligent order generation method based on fusion after multi-view image acquisition and intelligent vending machine
CN114253253A (en) * 2020-09-24 2022-03-29 科沃斯商用机器人有限公司 Target identification method and device based on artificial intelligence and robot

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104599399A (en) * 2015-02-05 2015-05-06 厦门理工学院 Cake vending machine and control method thereof
WO2016048159A1 (en) * 2014-09-23 2016-03-31 Bubblmee As Vending machine
CN105788075A (en) * 2016-04-20 2016-07-20 谭小军 Device and system for classifying ring-pull cans and automatic selling device

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016048159A1 (en) * 2014-09-23 2016-03-31 Bubblmee As Vending machine
CN104599399A (en) * 2015-02-05 2015-05-06 厦门理工学院 Cake vending machine and control method thereof
CN105788075A (en) * 2016-04-20 2016-07-20 谭小军 Device and system for classifying ring-pull cans and automatic selling device

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108710874A (en) * 2018-08-23 2018-10-26 深圳码隆科技有限公司 A kind of automatic vending machine based on image collecting device
CN109243096A (en) * 2018-10-26 2019-01-18 虫极科技(北京)有限公司 A kind of method of Intelligent cargo cabinet and determining commodity of taking
CN109858491B (en) * 2018-12-24 2023-04-07 合肥美的智能科技有限公司 Commodity identification method, storage medium, vending machine and image identification device
CN109858491A (en) * 2018-12-24 2019-06-07 合肥美的智能科技有限公司 Commodity recognition method, storage medium, vending machine and pattern recognition device
CN109872448A (en) * 2019-01-19 2019-06-11 创新奇智(广州)科技有限公司 A kind of foreign matter detecting method, computer readable storage medium and detection system
CN109615777A (en) * 2019-01-28 2019-04-12 西安鼎顺物联网科技有限公司 A kind of self-service selling cabinet
CN109948538A (en) * 2019-03-19 2019-06-28 成都好享你网络科技有限公司 The visual identity method, apparatus and automatic vending machine of Behavior-based control detection
CN111126993A (en) * 2019-12-25 2020-05-08 腾讯科技(深圳)有限公司 Member settlement method and device, image acquisition equipment and storage medium
CN111028421A (en) * 2019-12-26 2020-04-17 安徽点为科技有限公司 Vending device, vending system and control method of vending system
CN114253253A (en) * 2020-09-24 2022-03-29 科沃斯商用机器人有限公司 Target identification method and device based on artificial intelligence and robot
CN112419624A (en) * 2020-10-28 2021-02-26 福建中锐网络股份有限公司 Intelligent bookcase based on vision, gravity sensing and RFID fusion and working method thereof
CN112489288A (en) * 2020-11-14 2021-03-12 武汉盛硕电子有限公司 Vending cabinet and vending method based on image recognition
CN113723384A (en) * 2021-11-03 2021-11-30 武汉星巡智能科技有限公司 Intelligent order generation method based on fusion after multi-view image acquisition and intelligent vending machine
CN113723384B (en) * 2021-11-03 2022-03-18 武汉星巡智能科技有限公司 Intelligent order generation method and intelligent vending machine based on multi-view image collection and fusion

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