CN112132587A - Method for automatically identifying preferential account settlement of member based on face brushing of AI camera - Google Patents
Method for automatically identifying preferential account settlement of member based on face brushing of AI camera Download PDFInfo
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- CN112132587A CN112132587A CN202011071356.6A CN202011071356A CN112132587A CN 112132587 A CN112132587 A CN 112132587A CN 202011071356 A CN202011071356 A CN 202011071356A CN 112132587 A CN112132587 A CN 112132587A
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- 230000001680 brushing effect Effects 0.000 title claims abstract description 28
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000004891 communication Methods 0.000 claims description 15
- 238000010191 image analysis Methods 0.000 claims description 14
- 230000000694 effects Effects 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 abstract description 2
- 238000004458 analytical method Methods 0.000 description 2
- 238000013475 authorization Methods 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 230000002452 interceptive effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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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
- G06Q20/38—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
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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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0226—Incentive systems for frequent usage, e.g. frequent flyer miles programs or point systems
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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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
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Abstract
The invention discloses a method for automatically identifying member preferential checkout based on face brushing of an AI camera, relating to the technical field of face brushing payment, in particular to a method for automatically identifying member preferential checkout based on face brushing of the AI camera. According to the method for automatically identifying preferential checkout of the member based on face brushing of the AI camera, the member is automatically identified when portrait information enters the area of the AI intelligent camera through the connection of the AI intelligent camera and the WeChat. The system can be used without a membership card, does not need to collect portrait information, directly and automatically judges whether a consumer in the camera is a member in a cashier software system of a shop by using the technology, realizes the functions of enjoying points, coupons, member rights and interests and the like, and completes payment.
Description
Technical Field
The invention relates to the technical field of face brushing payment, in particular to a method for automatically identifying preferential checkout of members based on face brushing of an AI camera.
Background
The personalized service can be provided based on the attribute analysis (such as age, gender and the like) of the member, the past consumption records and the product promotion information, the customer satisfaction degree is improved, the consumption conversion is promoted, the better interactive marketing experience is realized, and a human face information full life cycle safety management mechanism is established by the member unit. In the acquisition link, user authorization and minimum sufficiency are adhered to, the user is clearly informed of the purpose, mode and range of information use, the user authorization is obtained, and the characteristic acquisition irrelevant to the requirement is avoided. In the storage link, the original face information is encrypted and stored, and is safely isolated from the personal privacy of the user such as a bank account number or a payment account number, an identity card number and the like. In the using link, the intermediate links such as the acquiring mechanism, the merchant and the like can not collect or intercept the original face information, and the end-to-end personal privacy protection is realized.
A plurality of face-brushing payment devices in the market only support face-brushing payment, and the members cannot enjoy the related rights and interests of the members when the face-brushing payment devices are used alone for payment.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for automatically identifying preferential checkout of a member based on face brushing of an AI camera, and solves the problems that a plurality of face brushing payment devices in the market only support face brushing payment at present and the member cannot enjoy the rights and interests related to the member when the face brushing payment device is used alone for payment.
In order to achieve the purpose, the invention is realized by the following technical scheme: the method for automatically identifying membership preferential checkout based on AI camera face brushing comprises an intelligent camera, wherein the output end of the intelligent camera is connected with a local database, the output end of the local database is respectively connected with a guest dispersing module and a recharging module, the output end of the guest dispersing module is connected with a payment module, the output end of the recharging module is connected with a personal information module, and the output end of the personal information module is connected with a member module.
Optionally, the intelligent camera comprises an image acquisition module, an intelligent identification module, an image analysis module and an image storage module, wherein the output end of the image acquisition module is connected with the intelligent identification module, the output end of the intelligent identification module is connected with the image analysis module, the output end of the image analysis module is connected with the image storage module, and the image acquisition module, the intelligent identification module, the image analysis module and the image storage module are all connected in series and electrically connected through wires.
Optionally, the intelligent camera is in data communication with the local database through an API interface, and the local database is in signal connection with the guest dispersing module and the recharge module.
Optionally, the guest-loosing module realizes data communication with the payment module through an API interface.
Optionally, the recharge module realizes data communication with the personal information module through the API interface, the personal information module realizes data communication with the member module through the API interface, and the member module realizes data communication with the payment module through the API interface.
Optionally, the method for automatically identifying membership preferential checkout based on face brushing of the AI camera includes the following steps:
s1: when the checkout of the cashier desk uses the intelligent camera to brush the face, the personal information of the customer is obtained;
s2: searching a local member library according to the personal information of the user, and if the member is found, inquiring whether the member has a discount or a promotion activity at present by an order form, and refreshing the payment amount of the order form;
s3: and submitting the payment code of the customer for payment and settlement according to the preferential amount.
The invention provides a method for automatically identifying preferential membership checkout based on face brushing of an AI camera, which has the following beneficial effects:
1. according to the method for automatically identifying preferential checkout of the member based on face brushing of the AI camera, the member is automatically identified when portrait information enters the area of the AI intelligent camera through the connection of the AI intelligent camera and the WeChat. The system can be used without a membership card, does not need to collect portrait information, directly and automatically judges whether a consumer in the camera is a member in a cashier software system of a shop by using the technology, realizes the functions of enjoying points, coupons, member rights and interests and the like, and completes payment.
2. According to the method for automatically identifying the preferential checkout of the member based on the AI camera face brushing, the member does not need to acquire information such as a portrait, does not need to show member certificates when arriving at a store, does not need to draw out a mobile phone, can complete member identity verification only through AI intelligent camera identification, achieves 'no card', confirms the identity and enjoys discount and related member rights and interests when paying.
3. The method for automatically identifying the preferential checkout of the member based on the AI camera face brushing can provide personalized service, improve customer satisfaction, promote consumption conversion and realize better interactive marketing experience based on attribute analysis (such as age, gender and the like) of the member, past consumption records and product promotion information.
Drawings
FIG. 1 is a schematic view of the flow structure of the present invention;
fig. 2 is a schematic structural diagram of the intelligent camera of the present invention.
In the figure: 1. an intelligent camera; 101. an image acquisition module; 102. an intelligent identification module; 103. an image analysis module; 104. an image storage module; 2. a local database; 3. a guest-scattering module; 4. a payment module; 5. a recharge module; 6. a personal information module; 7. and a member module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "connected" and "connected" are to be interpreted broadly, e.g., as being fixed or detachable or integrally connected; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Referring to fig. 1 to 2, the present invention provides a technical solution: the method for automatically identifying membership preferential checkout based on AI camera face brushing comprises an intelligent camera 1, wherein the output end of the intelligent camera 1 is connected with a local database 2, the output end of the local database 2 is respectively connected with a guest loosing module 3 and a recharging module 5, the output end of the guest loosing module 3 is connected with a payment module 4, the output end of the recharging module 5 is connected with a personal information module 6, and the output end of the personal information module 6 is connected with a membership module 7.
In the invention: the intelligent camera 1 comprises an image acquisition module 101, an intelligent recognition module 102, an image analysis module 103 and an image storage module 104, wherein the output end of the image acquisition module 101 is connected with the intelligent recognition module 102, the output end of the intelligent recognition module 102 is connected with the image analysis module 103, the output end of the image analysis module 103 is connected with the image storage module 104, and the image acquisition module 101, the intelligent recognition module 102, the image analysis module 103 and the image storage module 104 are electrically connected in series through wires; the image collecting module 101 is used for collecting the customer figure, identifying the customer figure through the smart identification module 102, and the image analyzing module 103 analyzes the personal information of the customer, compares the personal information of the customer with the information of the member module 7 in the local database 2, and stores the member customer figure.
In the invention: the intelligent camera 1 realizes data communication with the local database 2 through an API (application programming interface), and the local database 2 is in signal connection with the guest-scattering module 3 and the recharge module 5; the intelligent camera 1 identifies the customer information, transmits the customer information to the local database 2, analyzes the personal information of the customer, and distinguishes whether the customer information is a member or not.
In the invention: the guest-scattering module 3 realizes data communication with the payment module 4 through an API (application programming interface); when payment is made, the payment module 4 generates a WeChat or Paibao two-dimensional code.
In the invention: the recharge module 5 realizes data communication with the personal information module 6 through the API interface, the personal information module 6 realizes data communication with the member module 7 through the API interface, and the member module 7 realizes data communication with the payment module 4 through the API interface.
In the invention, the method for automatically identifying the preferential membership checkout based on the face brushing of the AI camera comprises the following steps:
s1: when the checkout counter uses the intelligent camera 1 to brush faces, the personal information of the customer is obtained;
s2: searching a local member library according to the personal information of the user, and if the member is found, inquiring whether the member has a discount or a promotion activity at present by an order form, and refreshing the payment amount of the order form;
s3: and submitting the payment code of the customer for payment and settlement according to the preferential amount.
In summary, according to the method for automatically identifying the membership offer settlement based on the AI camera face brushing, when in use, the smart camera 1 shoots an image of a customer, the image acquisition module 101 is used for acquiring the image of the customer, the image of the customer is identified through the smart identification module 102, the image analysis module 103 analyzes personal information of the customer, compares the personal information of the customer with information of the membership module 7 in the local database 2, searches the local membership library according to the personal information of the customer, finds out a member, and then inquires whether a membership offer or a promotion activity exists at present through an order, refreshes the settlement amount of the order, and the payment module 4 generates a WeChat or Paibao two-dimensional code.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be able to cover the technical scope of the present invention and the equivalent alternatives or modifications according to the technical solution and the inventive concept of the present invention within the technical scope of the present invention.
Claims (6)
1. The utility model provides a method for automatic identification member preferential checkout based on AI camera face brushing, includes intelligent camera (1), its characterized in that: the output of intelligence camera (1) is connected with local database (2), and the output of local database (2) is connected with guest module (3) and recharges module (5) respectively, the output of guest module (3) is connected with payment module (4), the output of recharging module (5) is connected with personal information module (6), and the output of personal information module (6) is connected with member module (7).
2. The method for automatically identifying preferential checkout of members based on face brushing of AI camera as claimed in claim 1, wherein: the intelligent camera (1) comprises an image acquisition module (101), an intelligent recognition module (102), an image analysis module (103) and an image storage module (104), wherein the output end of the image acquisition module (101) is connected with the intelligent recognition module (102), the output end of the intelligent recognition module (102) is connected with the image analysis module (103), the output end of the image analysis module (103) is connected with the image storage module (104), and the image acquisition module (101), the intelligent recognition module (102), the image analysis module (103) and the image storage module (104) are all connected in series and electrically connected through wires.
3. The method for automatically identifying preferential checkout of members based on face brushing of AI camera as claimed in claim 1, wherein: the intelligent camera (1) is in data communication with the local database (2) through an API (application programming interface), and the local database (2) is in signal connection with the guest dispersing module (3) and the recharging module (5).
4. The method for automatically identifying preferential checkout of members based on face brushing of AI camera as claimed in claim 1, wherein: and the guest-loosing module (3) realizes data communication with the payment module (4) through an API (application programming interface).
5. The method for automatically identifying preferential checkout of members based on face brushing of AI camera as claimed in claim 1, wherein: the recharging module (5) is in data communication with the personal information module (6) through the API, the personal information module (6) is in data communication with the member module (7) through the API, and the member module (7) is in data communication with the payment module (4) through the API.
6. The method for automatically identifying preferential checkout of members based on face brushing of AI camera as claimed in claim 1, wherein: the method for automatically identifying the membership preferential checkout based on the face brushing of the AI camera comprises the following steps:
s1: when the checkout of the cashier uses the intelligent camera (1) to brush the face, the personal information of the customer is obtained;
s2: searching a local member library according to the personal information of the user, and if the member is found, inquiring whether the member has a discount or a promotion activity at present by an order form, and refreshing the payment amount of the order form;
s3: and submitting the payment code of the customer for payment and settlement according to the preferential amount.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011071356.6A CN112132587A (en) | 2020-10-09 | 2020-10-09 | Method for automatically identifying preferential account settlement of member based on face brushing of AI camera |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011071356.6A CN112132587A (en) | 2020-10-09 | 2020-10-09 | Method for automatically identifying preferential account settlement of member based on face brushing of AI camera |
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| CN112132587A true CN112132587A (en) | 2020-12-25 |
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| CN202011071356.6A Pending CN112132587A (en) | 2020-10-09 | 2020-10-09 | Method for automatically identifying preferential account settlement of member based on face brushing of AI camera |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104268725A (en) * | 2014-10-30 | 2015-01-07 | 胡新元 | Client management system and method on basis of face identification technology |
| CN108416637A (en) * | 2018-05-03 | 2018-08-17 | 珠海横琴盛达兆业科技投资有限公司 | A method of pharmacy's Member Information acquisition is realized based on face recognition technology |
| CN109034889A (en) * | 2018-07-18 | 2018-12-18 | 数腾天下（北京）信息技术发展有限公司 | Recognition of face membership service system based on separation of software and hardware method |
| CN109658085A (en) * | 2018-09-10 | 2019-04-19 | 杭州乐优客科技有限公司 | A kind of cash register system of brush face identification member |
| CN109685580A (en) * | 2019-01-03 | 2019-04-26 | 伊甸城(北京)信息技术有限公司 | A kind of member management method and system based on recognition of face |
| CN109753869A (en) * | 2018-11-19 | 2019-05-14 | 常熟安智生物识别技术有限公司 | The member system system of recognition of face |
| CN110664170A (en) * | 2019-09-30 | 2020-01-10 | 易思空间(北京)国际装饰工程有限公司 | Intelligent display cabinet for pharmacy |
-
2020
- 2020-10-09 CN CN202011071356.6A patent/CN112132587A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104268725A (en) * | 2014-10-30 | 2015-01-07 | 胡新元 | Client management system and method on basis of face identification technology |
| CN108416637A (en) * | 2018-05-03 | 2018-08-17 | 珠海横琴盛达兆业科技投资有限公司 | A method of pharmacy's Member Information acquisition is realized based on face recognition technology |
| CN109034889A (en) * | 2018-07-18 | 2018-12-18 | 数腾天下（北京）信息技术发展有限公司 | Recognition of face membership service system based on separation of software and hardware method |
| CN109658085A (en) * | 2018-09-10 | 2019-04-19 | 杭州乐优客科技有限公司 | A kind of cash register system of brush face identification member |
| CN109753869A (en) * | 2018-11-19 | 2019-05-14 | 常熟安智生物识别技术有限公司 | The member system system of recognition of face |
| CN109685580A (en) * | 2019-01-03 | 2019-04-26 | 伊甸城(北京)信息技术有限公司 | A kind of member management method and system based on recognition of face |
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