WO2019127255A1 - Procédé et système d'achat en libre-service en nuage, dispositif électronique et produit de programme - Google Patents

Procédé et système d'achat en libre-service en nuage, dispositif électronique et produit de programme Download PDF

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Publication number
WO2019127255A1
WO2019127255A1 PCT/CN2017/119526 CN2017119526W WO2019127255A1 WO 2019127255 A1 WO2019127255 A1 WO 2019127255A1 CN 2017119526 W CN2017119526 W CN 2017119526W WO 2019127255 A1 WO2019127255 A1 WO 2019127255A1
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WO
WIPO (PCT)
Prior art keywords
information
face
user
account
face information
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Application number
PCT/CN2017/119526
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English (en)
Chinese (zh)
Inventor
刘兆祥
廉士国
李少华
Original Assignee
深圳前海达闼云端智能科技有限公司
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.)
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Application filed by 深圳前海达闼云端智能科技有限公司 filed Critical 深圳前海达闼云端智能科技有限公司
Priority to CN201780002673.2A priority Critical patent/CN108235771A/zh
Priority to PCT/CN2017/119526 priority patent/WO2019127255A1/fr
Publication of WO2019127255A1 publication Critical patent/WO2019127255A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/08—Payment architectures
    • G06Q20/20—Point-of-sale [POS] network systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
    • G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/38—Payment protocols; Details thereof
    • G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
    • G06Q20/401—Transaction verification
    • G06Q20/4014—Identity check for transactions
    • G06Q20/40145—Biometric identity checks

Definitions

  • the present application relates to the field of computer technologies, and in particular, to a cloud-based self-service shopping method and system, an electronic device, and a program product.
  • the embodiment of the present application provides a cloud-based self-service shopping method and system, an electronic device, and a program product, which are mainly used for self-service shopping.
  • the embodiment of the present application provides a cloud-based self-service shopping method, where the method includes:
  • the shopping amount is deducted according to the tag information and the matched first face information.
  • an embodiment of the present application provides an electronic device, where the electronic device includes:
  • a memory one or more processors; a memory coupled to the processor via a communication bus; a processor configured to execute instructions in the memory; the storage medium storing instructions for performing the various steps of the method of the first aspect.
  • an embodiment of the present application provides a computer program product for use in conjunction with an electronic device including a display, the computer program product comprising a computer readable storage medium and a computer program mechanism embedded therein, the computer
  • the program mechanism includes instructions for performing the various steps in the method of the first aspect described above.
  • the embodiment of the present application provides a self-service shopping system, where the system includes: a first face collection device, a second face collection device, an account acquisition device, an electronic tag collection device, a data storage unit, and data.
  • Processing unit includes: a first face collection device, a second face collection device, an account acquisition device, an electronic tag collection device, a data storage unit, and data.
  • the first face collecting device is configured to acquire a first face image of the first user
  • the second face collecting device is configured to acquire a second face image of the second user
  • the account obtaining device is configured to obtain an account identifier
  • the electronic label collecting device is configured to collect label information of the goods purchased by the second user
  • the data storage unit is configured to store account information, first face information, and a first association relationship between the account information and the first face information;
  • the data storage unit is further configured to use a second association relationship between the price of the electronic label, the commodity, and the price of each electronic label and the corresponding commodity;
  • the data processing unit is configured to execute the instructions of each step in the method of the first aspect described above.
  • the application obtains the account information of the first user, collects the first face information of the first user, collects the tag information of the product purchased by the second user, and collects the second face information of the second user, when the presence and the second person exist.
  • the face information matches the first face information
  • the purchase amount is deducted according to the tag information and the matched first face information, thereby realizing unmanned self-service shopping.
  • FIG. 1 is a schematic structural diagram of an unmanned shop in the embodiment of the present application.
  • FIG. 2 is a schematic flowchart of a cloud-based self-service shopping method according to an embodiment of the present application
  • FIG. 3 is a schematic flowchart of another cloud-based self-service shopping method according to an embodiment of the present application.
  • FIG. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
  • the embodiment of the present application provides a cloud-based self-service shopping method, which acquires account information of a first user, collects first face information of the first user, and collects tag information of the product purchased by the second user, and collects the first The second face information of the two users, when there is the first face information matching the second face information, deducting the shopping amount according to the tag information and the matched first face information, thereby realizing unmanned self-service shopping .
  • the cloud-based self-service shopping method provided by this embodiment can be run in a self-service shopping system, which is applied to an unmanned shop.
  • the unmanned shop includes at least: entrance (1.1), commodity purchase area (1.2)
  • the self-service shopping system includes at least: a first face collection device (2.1), a second face collection device (2.2), an account acquisition device (2.3), an electronic tag collection device (2.4), a data storage unit (2.5), and data. Processing unit (2.6).
  • the first face collecting device (2.1) is configured to acquire a face image of the user.
  • At least one of the first face collection devices (2.1) is located at the entrance (1.1).
  • the first face collection device (2.1) located at the entrance (1.1) is used to acquire a face image of the user when the user enters the unattended shop. After obtaining the face image, the face image is used as the unique identifier of the user, and the corresponding account information, such as the bank card number, is associated.
  • the first face acquisition device (2.1) can be a camera.
  • the second face collection device (2.2) is also used to acquire a face image.
  • the second face collection device (2.2) is located at the exit (1.3).
  • the second face collection device (2.2) located at the exit (1.3) is used to obtain a face image of the user after the user purchases the item. After acquiring the face image, the face image is compared with the face image acquired by the first face collection device (2.1), and the settlement account of the user is determined to automatically pay the purchase amount.
  • the second face acquisition device (2.2) can be a camera.
  • the account acquisition device (2.3) is used to obtain an account identifier.
  • the account acquisition device (2.3) may be one or more. At least one account acquisition device (2.3) is located at the entrance (1.1).
  • the account obtaining device (2.3) at the entrance (1.1) obtains the account identifier when the user enters the unattended shop, and after obtaining the account identifier, performs the face image obtained by the first face collecting device (2.1). Correlate, so that the corresponding account identifier is found according to the face image at the time of checkout, and the purchase amount is automatically paid.
  • an account acquisition device (2.3) can be installed at the exit (1.3), and the account acquisition device (2.3) at the exit (1.3) can be used when the user face matching is unsuccessful. It is convenient for users to manually pay the purchase amount.
  • the account obtaining device (2.3) may be an account swiping device, and in addition, the account obtaining device (2.3) may also be a scanning device.
  • the account acquisition device (2.3) can also be an account swiping device and a scanning device at the same time.
  • the electronic label collecting device (2.4) is used for collecting label information of the products purchased by the user.
  • the electronic tag collection device (2.4) may be one or more, and at least one electronic tag collection device (2.4) is located at the exit (1.3).
  • each item corresponds to a unique label.
  • the electronic label collection device (2.4) at the exit (1.3) can automatically collect the label of the user's selected item, and determine the item selected by the user according to the label. And the corresponding price, calculate the purchase amount.
  • the electronic tag collection device (2.4) is a radio frequency reader RFID reader.
  • the data storage unit (2.5) is also used to store the relationship between the electronic tag, the price of the product, and the price of each electronic tag and the corresponding item.
  • the data storage unit (2.5) can be a database.
  • the data processing unit (2.6) is configured to execute the cloud-based self-service shopping method provided by the present application to implement a self-service shopping function.
  • the data processing unit (2.6) and the data storage unit (2.5) may be located in the same physical device, such as a server.
  • Figure 1 shows an implementation structure of the above unmanned shop.
  • the entire system includes a camera, an account swipe/scan code device, an RFID reader, a data processing unit, and a data storage unit.
  • the swipe/scan code device, camera and RFID reader can be placed at the entrance and exit of the store.
  • the data processing unit acquires the user's account information, face information, and product information through the swipe/scan code device, the camera, and the RFID reader, and associates and stores the account with the face, face recognition, account matching, price statistics, and debit Delete the face account and other operations.
  • each item in the unmanned shop will be assigned a unique label, such as a unique RFID tag attached to each item in the item purchase area (1.2).
  • the RFID tag is a unique tag of the product, and the RFID tag can be associated with the product name such as the product name, the product price, and the product origin, and the product information such as the product name, the product price, and the product origin can be determined by the RFID tag.
  • the second association relationship between the product information such as the price of the electronic tag and the product, and the product information such as the price of each electronic tag and the corresponding product is stored in the data storage unit (2.5).
  • the flow of the cloud-based self-service shopping method provided by the data processing unit (2.6) is as shown in FIG. 2 .
  • the first user is a user who enters from the entrance (1.1).
  • the account authorization of the first user may be obtained first.
  • the account identifier is obtained, and the account information of the first user is obtained according to the account identifier.
  • the account identifier is generated according to the account authorization.
  • the account information can be a bank account or an electronic money.
  • the bank account authorization binding is performed in advance through the APP dedicated to the user's mobile phone.
  • this step is performed to obtain the bank account.
  • the user's account information is obtained by scanning the QR code.
  • step 202 can be performed automatically. In addition to this, step 202 can also be triggered.
  • the triggering condition is: confirming that the account information of the first user is successfully obtained; or, the first condition that the face information collection is detected is triggered.
  • the first condition includes, but is not limited to, confirming that the account information of the first user is successfully acquired, and the face information collection button displayed at the portal (1.1) is clicked by the user.
  • step 202 is triggered.
  • step 201 is successfully performed, and step 202 is triggered after the face information collection button displayed at the portal (1.1) is clicked by the user.
  • the camera is arranged at the appropriate position of the portal to directly collect the face information without the cooperation of the user.
  • the face image is immediately triggered; or after the account is successfully obtained, the user can also obtain the account. Manually trigger face information collection.
  • the first face image of the first user may be obtained, and the first face image is determined as the first face information; or the first face image of the first user is acquired, and the first face is obtained.
  • the image is subjected to face detection, and the first face feature information is extracted from the detected first face image, and the first face feature information is determined as the first face information.
  • the original face image information may be directly obtained, or may be a second extracted face information, such as performing face detection on the image first, and then based on the detected face image. Extract face features.
  • the account information and the first face information are associated, and the account information, the first face information, and the first information between the account information and the first face information are An association relationship is stored in the data storage unit (2.5) to facilitate automatic checkout after the user completes the purchase.
  • the two are associated according to the time when the account is acquired and the time when the face information is acquired, and the associated information is stored.
  • the data storage unit (2.5) stores, in addition to the electronic tags storing all the products, the price information of the products, and the like, and the second information between the electronic tags and the price of the corresponding products.
  • the face information of all users entering the unattended shop, the account information of all users, and the first relationship between the face information of all users and the account information are also stored.
  • step 202 each user purchases himself in the merchandise purchase area (1.2) of the unmanned shop.
  • the following steps 203 to 205 are performed.
  • the second user is a user who wants to check out and exits from the exit (1.3) after checkout.
  • each item in the unmanned shop has been assigned a unique label, and the product information such as the price of the electronic label and the product, and the price of each electronic label and the corresponding product are the same.
  • the second association relationship is stored in the data storage unit (2.5). Therefore, the implementation of this step is: the electronic tag collection device (2.4) at the exit (1.3) reads the electronic tag of the product purchased by the second user.
  • the sum of the prices of the purchased plurality of items is determined as the purchase amount.
  • the RFID reader disposed in the exit channel for exiting the door automatically reads the RFID tag information within a certain distance, acquires the ID information of the product, and then queries the database to count the price of the user's purchased product.
  • step 204 can be performed automatically. In addition to this, step 204 can also be triggered.
  • the trigger condition is: confirm that the at least one tag information is successfully collected; or the second condition that the face information is detected is triggered.
  • the second condition includes but is not limited to: the face information collection button displayed at the exit (1.3) is clicked by the user.
  • step 203 the electronic tag collection device (2.4) at the exit (1.3) successfully reads an electronic tag of a product purchased by the second user.
  • the face information collection button displayed at the exit (1.3) is clicked by the user.
  • the camera automatically collects the face image
  • the RFID reader can also trigger the collection of the face image. For example, after the RFID reader recognizes the product, the face image is immediately triggered.
  • the image is also subjected to face recognition. Specifically, acquiring a second face image of the second user, determining the second face image as the second face information; or acquiring the second face image of the second user, and performing the face on the second face image The detecting, extracting the second face feature information from the detected second face image, and determining the second face feature information as the second face information.
  • face detection and feature extraction are performed.
  • each first face information stored in the data storage unit (2.5) is also matched with the second face information collected in step 204, and each first face information and the second person are calculated.
  • the similarity between the face information if there is a similarity between the first face information and the second face information is greater than a preset threshold, determining that there is first face information matching the second face information, the The first face information whose similarity of the two face information is greater than the preset threshold is the matched first face information.
  • the second face information is compared with the first face information in the database for similarity (if the face information in the library is the original image information of the face, the feature extraction is required first), and the similarity can pass through the European The distance or the cosine distance is measured. After finding the most similar face, it is judged whether the similarity exceeds the set threshold. If it is exceeded, the matching is successful.
  • the matching fails.
  • the information mismatch message may be sent to the second user, so that the second user may trigger the face information collection according to the message.
  • the second condition or, is such that the second user manually pays for the purchase amount based on the message.
  • the user can be reminded to re-paint the face, or pay by hand.
  • the shopping amount is deducted according to the tag information and the matched first face information.
  • Step 205 Determine, according to the matched first face information and the first association relationship, account information corresponding to the matched first face information, and deduct the purchase amount according to the corresponding account information.
  • the user's account information is matched according to the face information, and the deduction is performed, and finally the face information and the account information are deleted from the database.
  • the cloud-based self-service shopping method provided by the present application is completed, and the self-service shopping of the user is realized.
  • the user searches for the payment account authorized by the mobile phone, and captures the face information through the camera.
  • the system associates the user account and face information with the database and stores it in the database.
  • the database also stores all the information. Product ID and price information. All items are tagged with RFID.
  • the RFID card reader obtains the ID information on the user's product
  • the camera obtains the face information
  • the account information of the first user is acquired, the first face information of the first user is collected, the tag information of the product purchased by the second user is collected, and the second face information of the second user is collected, when the presence and the When the first face information of the two face information matches, the purchase amount is deducted according to the tag information and the matched first face information, thereby realizing unmanned self-service shopping.
  • the embodiment of the present application further provides an electronic device.
  • the electronic device includes:
  • the storage medium stores instructions for performing the following steps:
  • the shopping amount is deducted according to the tag information and the matched first face information.
  • the method before acquiring the account information of the first user, the method further includes:
  • obtaining account information of the first user including:
  • the method before collecting the first face information of the first user, the method further includes:
  • the first condition for monitoring the face information collection is triggered.
  • collecting the first face information of the first user including:
  • Obtaining a first face image of the first user performing face detection on the first face image, extracting first face feature information from the detected first face image, and determining the first face feature information as the first Face information.
  • the method further includes:
  • the first relationship between the account information, the first face information, and the account information and the first face information is stored.
  • an electronic tag is placed for each item
  • the method further includes:
  • the second association between the price of the electronic tag, the item, and the price of each electronic tag and the corresponding item is stored.
  • collecting tag information of the product purchased by the second user including:
  • the method further includes:
  • the price of the item purchased by the second user is determined according to the electronic tag and the second association relationship, and the price is determined as the purchase amount.
  • the method before collecting the second face information of the second user, the method further includes:
  • the second condition for monitoring the face information collection is triggered.
  • collecting second face information of the second user including:
  • Obtaining a second face image of the second user performing face detection on the second face image, extracting second face feature information from the detected second face image, and determining the second face feature information as the second Face information.
  • the similarity between the matched first face information and the second face information is greater than a preset threshold.
  • the method before deducting the purchase amount according to the label information and the matched first face information, the method further includes:
  • the information does not match the message, so that the second user triggers the second condition of the face information collection according to the message, or so that the second user according to the message Manually pay for the purchase amount.
  • the shopping amount is deducted according to the tag information and the matched first face information, including:
  • the purchase amount is deducted according to the corresponding account information.
  • the method further includes:
  • the matching first face information, the matching account information corresponding to the first face information, the first matching face information and the corresponding account information are deleted.
  • the account information of the first user is acquired, the first face information of the first user is collected, the tag information of the product purchased by the second user is collected, and the second face information of the second user is collected, when the presence and the When the first face information of the two face information matches, the purchase amount is deducted according to the tag information and the matched first face information, thereby realizing unmanned self-service shopping.
  • an embodiment of the present application further provides a computer program product for use in conjunction with an electronic device including a display, the computer program product comprising a computer readable storage medium and a computer program mechanism embedded therein,
  • the computer program mechanism includes instructions for performing the various steps described below:
  • the shopping amount is deducted according to the tag information and the matched first face information.
  • the method before acquiring the account information of the first user, the method further includes:
  • obtaining account information of the first user including:
  • the method before collecting the first face information of the first user, the method further includes:
  • the first condition for monitoring the face information collection is triggered.
  • collecting the first face information of the first user including:
  • Obtaining a first face image of the first user performing face detection on the first face image, extracting first face feature information from the detected first face image, and determining the first face feature information as the first Face information.
  • the method further includes:
  • the first relationship between the account information, the first face information, and the account information and the first face information is stored.
  • an electronic tag is placed for each item
  • the method further includes:
  • the second association between the price of the electronic tag, the item, and the price of each electronic tag and the corresponding item is stored.
  • collecting tag information of the product purchased by the second user including:
  • the method further includes:
  • the price of the item purchased by the second user is determined according to the electronic tag and the second association relationship, and the price is determined as the purchase amount.
  • the method before collecting the second face information of the second user, the method further includes:
  • the second condition for monitoring the face information collection is triggered.
  • collecting second face information of the second user including:
  • Obtaining a second face image of the second user performing face detection on the second face image, extracting second face feature information from the detected second face image, and determining the second face feature information as the second Face information.
  • the similarity between the matched first face information and the second face information is greater than a preset threshold.
  • the method before deducting the purchase amount according to the label information and the matched first face information, the method further includes:
  • the information does not match the message, so that the second user triggers the second condition of the face information collection according to the message, or so that the second user according to the message Manually pay for the purchase amount.
  • the shopping amount is deducted according to the tag information and the matched first face information, including:
  • the purchase amount is deducted according to the corresponding account information.
  • the method further includes:
  • the matching first face information, the matching account information corresponding to the first face information, the first matching face information and the corresponding account information are deleted.
  • the account information of the first user is acquired, the first face information of the first user is collected, the tag information of the product purchased by the second user is collected, and the second face information of the second user is collected, when the presence and the When the first face information of the two face information matches, the purchase amount is deducted according to the tag information and the matched first face information, thereby realizing unmanned self-service shopping.
  • embodiments of the present application can be provided as a method, system, or computer program product.
  • the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment in combination of software and hardware.
  • the application 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.

Abstract

L'invention concerne un procédé et un système d'achat en libre-service en nuage, un dispositif électronique et un produit de programme. Le procédé obtient les informations de compte d'un premier utilisateur ; de premières informations de visage du premier utilisateur sont collectées ; des informations d'étiquette d'un produit acheté par un deuxième utilisateur sont collectées ; des deuxièmes informations de visage du deuxième utilisateur sont collectées. Lorsque des premières informations de visage correspondant aux deuxièmes informations de visage sont présentées, le montant d'achat est déduit en fonction des informations d'étiquette et des premières informations de visage correspondantes. Sur la base de la technologie de nuage, les premières informations de visage du premier utilisateur sont collectées par obtention des informations de compte du premier utilisateur, les informations d'étiquette du produit acheté par le deuxième utilisateur sont collectées, et les deuxièmes informations de visage du deuxième utilisateur sont collectées. Lorsque les premières informations de visage appariées aux deuxièmes informations de visage sont présentées, le montant de l'achat est déduit en fonction des informations d'étiquette et des premières informations de visage appariées, ce qui permet de réaliser des achats en libre-service sans personnel.
PCT/CN2017/119526 2017-12-28 2017-12-28 Procédé et système d'achat en libre-service en nuage, dispositif électronique et produit de programme WO2019127255A1 (fr)

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Application Number Priority Date Filing Date Title
CN201780002673.2A CN108235771A (zh) 2017-12-28 2017-12-28 基于云端的自助购物方法和系统、电子设备、程序产品
PCT/CN2017/119526 WO2019127255A1 (fr) 2017-12-28 2017-12-28 Procédé et système d'achat en libre-service en nuage, dispositif électronique et produit de programme

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CN111240938A (zh) * 2020-01-10 2020-06-05 深圳市五联云科技有限公司 基于刷脸支付的数据拥堵处理方法及装置
CN113095836A (zh) * 2021-04-22 2021-07-09 北京市商汤科技开发有限公司 自助购物方法及装置、电子设备和存储介质
CN113627930A (zh) * 2021-07-08 2021-11-09 支付宝(杭州)信息技术有限公司 一种电子券的核销方法、装置、电子设备以及存储介质

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