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WO2018137136A1 - Distributeur automatique et son procédé de fonctionnement - Google Patents

Distributeur automatique et son procédé de fonctionnement 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
Authority
WO
WIPO (PCT)
Prior art keywords
sale
background server
processor
shelf
vending machine
Prior art date
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
Application number
PCT/CN2017/072468
Other languages
English (en)
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
Original Assignee
Guangzhou Yidao Hulianwang Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Guangzhou Yidao Hulianwang Co Ltd filed Critical Guangzhou Yidao Hulianwang Co Ltd
Priority to PCT/CN2017/072468 priority Critical patent/WO2018137136A1/fr
Publication of WO2018137136A1 publication Critical patent/WO2018137136A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • 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

L'invention concerne un distributeur automatique et un procédé de fonctionnement associé. Le distributeur automatique comprend une caméra (120) connectée à un processeur (140). Le processeur (140) est connecté à un serveur gestionnaire (20) au moyen d'un réseau. La caméra (120) acquiert des informations d'image en temps réel de marchandises à vendre exposées sur un rayonnage et les transmet au serveur gestionnaire (20) au moyen du processeur (140). La caméra (120) acquiert les informations d'image en temps réel des marchandises à vendre exposées sur le rayonnage, et identifie une catégorie et une première quantité d'une première marchandise à vendre sur le rayonnage. Le serveur gestionnaire (20) détermine, selon la catégorie et la première quantité de la première marchandise, une catégorie et une quantité d'une marchandise retirée pour calculer une quantité de paiement. Le distributeur automatique susmentionné et son procédé de fonctionnement réduisent la complexité de fonctionnement pour un utilisateur dans un processus d'achat, et réduisent l'exigence de maintenance.
PCT/CN2017/072468 2017-01-24 2017-01-24 Distributeur automatique et son procédé de fonctionnement Ceased WO2018137136A1 (fr)

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Application Number Priority Date Filing Date Title
PCT/CN2017/072468 WO2018137136A1 (fr) 2017-01-24 2017-01-24 Distributeur automatique et son procédé de fonctionnement

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/072468 WO2018137136A1 (fr) 2017-01-24 2017-01-24 Distributeur automatique et son procédé de fonctionnement

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Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108710874A (zh) * 2018-08-23 2018-10-26 深圳码隆科技有限公司 一种基于图像采集装置的自动售货机
CN109243096A (zh) * 2018-10-26 2019-01-18 虫极科技(北京)有限公司 一种智能货柜及确定拿取商品的方法
CN109615777A (zh) * 2019-01-28 2019-04-12 西安鼎顺物联网科技有限公司 一种自助售卖柜
CN109858491A (zh) * 2018-12-24 2019-06-07 合肥美的智能科技有限公司 商品识别方法、存储介质、售卖机和图像识别装置
CN109872448A (zh) * 2019-01-19 2019-06-11 创新奇智(广州)科技有限公司 一种异物检测方法、计算机可读存储介质及检测系统
CN109948538A (zh) * 2019-03-19 2019-06-28 成都好享你网络科技有限公司 基于行为检测的视觉识别方法、装置和自动售货机
CN111028421A (zh) * 2019-12-26 2020-04-17 安徽点为科技有限公司 一种售卖装置、售卖系统以及该系统的控制方法
CN111126993A (zh) * 2019-12-25 2020-05-08 腾讯科技(深圳)有限公司 会员结算的方法、装置、图像采集设备及存储介质
CN112419624A (zh) * 2020-10-28 2021-02-26 福建中锐网络股份有限公司 基于视觉、重力传感、rfid融合的智能图书柜及其工作方法
CN112489288A (zh) * 2020-11-14 2021-03-12 武汉盛硕电子有限公司 一种基于图像识别的售货柜和售货方法
CN113723384A (zh) * 2021-11-03 2021-11-30 武汉星巡智能科技有限公司 多视角采集图像后融合的智能生成订单方法及智能售货机
CN114253253A (zh) * 2020-09-24 2022-03-29 科沃斯商用机器人有限公司 一种基于人工智能的目标识别方法、装置及机器人

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CN104599399A (zh) * 2015-02-05 2015-05-06 厦门理工学院 一种蛋糕自动售货机及其控制方法
WO2016048159A1 (fr) * 2014-09-23 2016-03-31 Bubblmee As Distributeur automatique
CN105788075A (zh) * 2016-04-20 2016-07-20 谭小军 易拉罐分类装置、系统及自动售货装置

Patent Citations (3)

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Publication number Priority date Publication date Assignee Title
WO2016048159A1 (fr) * 2014-09-23 2016-03-31 Bubblmee As Distributeur automatique
CN104599399A (zh) * 2015-02-05 2015-05-06 厦门理工学院 一种蛋糕自动售货机及其控制方法
CN105788075A (zh) * 2016-04-20 2016-07-20 谭小军 易拉罐分类装置、系统及自动售货装置

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108710874A (zh) * 2018-08-23 2018-10-26 深圳码隆科技有限公司 一种基于图像采集装置的自动售货机
CN109243096A (zh) * 2018-10-26 2019-01-18 虫极科技(北京)有限公司 一种智能货柜及确定拿取商品的方法
CN109858491B (zh) * 2018-12-24 2023-04-07 合肥美的智能科技有限公司 商品识别方法、存储介质、售卖机和图像识别装置
CN109858491A (zh) * 2018-12-24 2019-06-07 合肥美的智能科技有限公司 商品识别方法、存储介质、售卖机和图像识别装置
CN109872448A (zh) * 2019-01-19 2019-06-11 创新奇智(广州)科技有限公司 一种异物检测方法、计算机可读存储介质及检测系统
CN109615777A (zh) * 2019-01-28 2019-04-12 西安鼎顺物联网科技有限公司 一种自助售卖柜
CN109948538A (zh) * 2019-03-19 2019-06-28 成都好享你网络科技有限公司 基于行为检测的视觉识别方法、装置和自动售货机
CN111126993A (zh) * 2019-12-25 2020-05-08 腾讯科技(深圳)有限公司 会员结算的方法、装置、图像采集设备及存储介质
CN111028421A (zh) * 2019-12-26 2020-04-17 安徽点为科技有限公司 一种售卖装置、售卖系统以及该系统的控制方法
CN114253253A (zh) * 2020-09-24 2022-03-29 科沃斯商用机器人有限公司 一种基于人工智能的目标识别方法、装置及机器人
CN112419624A (zh) * 2020-10-28 2021-02-26 福建中锐网络股份有限公司 基于视觉、重力传感、rfid融合的智能图书柜及其工作方法
CN112489288A (zh) * 2020-11-14 2021-03-12 武汉盛硕电子有限公司 一种基于图像识别的售货柜和售货方法
CN113723384A (zh) * 2021-11-03 2021-11-30 武汉星巡智能科技有限公司 多视角采集图像后融合的智能生成订单方法及智能售货机
CN113723384B (zh) * 2021-11-03 2022-03-18 武汉星巡智能科技有限公司 多视角采集图像后融合的智能生成订单方法及智能售货机

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