CN111666440A - Face recognition client distribution system and use method - Google Patents
Face recognition client distribution system and use method Download PDFInfo
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- CN111666440A CN111666440A CN202010449083.8A CN202010449083A CN111666440A CN 111666440 A CN111666440 A CN 111666440A CN 202010449083 A CN202010449083 A CN 202010449083A CN 111666440 A CN111666440 A CN 111666440A
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- 230000006399 behavior Effects 0.000 abstract description 2
- 238000013024 troubleshooting Methods 0.000 abstract description 2
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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Abstract
The invention relates to a face recognition client distribution system and a use method thereof, the technology automatically performs client recognition binding sorting by a face memory ID correlation module through a face recognition technology, greatly improves client troubleshooting and registration efficiency, and can effectively prevent order skipping behaviors such as filling false information and not performing transaction standardization and the like.
Description
Technical Field
The invention relates to the field of internet, in particular to a face recognition client distribution system and a use method thereof.
Background
At present, in the field of sales including real estate and the like requiring broker or agent service, protection and search calibration of a client's broker or agent has been a difficult problem. Whether the offline is manual or the online customer marking is carried out, the client is eliminated, the information input ratio is equivalent, the working efficiency is low, and errors are easy to occur. Particularly, at present, on-line customer identification is automatically calibrated only by a telephone or a developer, and the form skipping is likely to occur by changing the telephone, reporting false telephone, intentionally not marking a deal and the like, so that a lot of disputes are caused.
Disclosure of Invention
To overcome the drawbacks of the prior art, the present invention is directed to a face recognition client distribution system and method for use to solve the above problems. The invention is realized by the following technical scheme:
the technical scheme of the invention is that the system comprises a face information acquisition module, a storage module, a face memory ID correlation module and a searching and comparing module;
the face information acquisition module is used for acquiring face information;
the face memory ID association module is used for binding with ID information of associated clients to form independent associated IDs or marks;
the searching and comparing module is used for searching the face information memory in the storage module, comparing with the obtained face information, and searching corresponding client information through the associated ID;
the storage module is used for storing face information and storing ID or mark information.
According to the technical scheme, when a user visits, the system automatically scans face information, identifies information of a broker or an agent, automatically associates strange user information with the ID of the broker or the agent to form an independent associated ID or mark, and stores corresponding information in a storage module;
when the strange user visits again, the face information is automatically scanned, or when the face information of the client is identified, the correlation ID or the mark is searched through the searching and comparing module, and the corresponding broker or agent information is searched.
The technical solution of the present invention, wherein the using method may include one or more of the following methods of associating the ID or the mark method with a broker or an agent:
the method comprises the following steps: when a user registers, face information is identified, and a corresponding broker or agent is bound to form an independent associated ID or mark;
the second method comprises the following steps: the first step, face recognition is carried out when the broker or the agent registers, and relevant information is memorized and stored, and the second step, face information of the broker or the agent and the client is automatically scanned when the broker or the agent visits with the client. Thirdly, a searching and comparing module is used for identifying the information of the broker or the agent and the face information of the client, if the user does not bind the information of the broker or the agent, the strange user information is automatically associated to the ID of the broker or the agent to form an independent associated ID or mark, and the corresponding information is stored in a storage module; if the user has bound other broker or agent information, the binding is unsuccessful.
The technical scheme of the invention, wherein the using method can comprise a method for identifying a broker or an agent by client transaction:
the first step, after the customer deals with, automatically identify the face information of the customer,
and secondly, searching a comparison module, searching the correlation ID or mark through the face information of the client, and then identifying the information of the broker or the agent. Then, the client is subjected to deal calibration, and the broker or the agent is automatically notified. The calibration can not be specially searched, so that the labor cost is saved, the working efficiency is improved, and the intentional uncalibrated skip of the order after the transaction can be avoided.
In the visiting reception process of the client, each visiting of the client is calibrated by the method, and then the visiting information is informed to the broker or the agent.
Compared with the prior art, the technology automatically performs client identification, binding and sorting through the face memory ID association module by the face identification technology, greatly improves client troubleshooting and registration efficiency, and can effectively prevent order skipping behaviors such as filling false information and not performing transaction standardization and the like.
Drawings
FIG. 1 is a schematic diagram of a face recognition client distribution system according to the present invention;
FIG. 2 is a schematic diagram illustrating a method for associating a user with a broker or an agent for ID or tagging according to the present invention
The drawings are identified below:
the system comprises a 1-face information acquisition module, a 2-storage module, a 3-face memory ID correlation module and a 4-search comparison module.
S101, when a broker or an agent visits with a client, automatically scanning face information of the broker or the agent and the client;
s102 searching and comparing module for identifying broker or agent information and customer face information
S103, if the user does not bind the information of the broker or the agent, automatically associating the strange user information to the ID of the broker or the agent to form an independent associated ID or mark, and storing the corresponding information in a storage module; if the user has bound other broker or agent information, the binding is unsuccessful.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
As shown in fig. 1
The technical scheme of the invention is that the system comprises a 1-face information acquisition module, a 2-storage module, a 3-face memory ID correlation module and a 4-search comparison module;
the 1-face information acquisition module is used for acquiring face information;
the 3-face memory ID association module is used for binding with the ID information of the associated client to form an independent associated ID or mark;
the 4-searching comparison module is used for searching the face information memory in the 2-storage module, comparing the face information memory with the obtained face information, and searching corresponding client information through the associated ID;
the 2-storage module is used for storing face information and storing ID or mark information.
According to the technical scheme, when a user visits, the system automatically scans face information, identifies information of a broker or an agent, automatically associates strange user information with the ID of the broker or the agent to form an independent associated ID or mark, and stores corresponding information in a 2-storage module;
when the strange user visits again, the face information is automatically scanned, or the face information of the client is identified, the correlation ID or the mark is searched through the 4-search comparison module, and the corresponding broker or agent information is searched.
The technical solution of the present invention, wherein the using method may include one or more of the following methods of associating the ID or the mark method with a broker or an agent:
the method comprises the following steps: when a user registers, face information is identified, and a corresponding broker or agent is bound to form an independent associated ID or mark;
as shown in fig. 2
The second method comprises the following steps: when the broker or the agent registers, the face recognition is carried out, and the relevant information is memorized and stored,
s101, when a broker or an agent visits with a client, automatically scanning face information of the broker or the agent and the client;
s1024-search comparison module for identifying broker or agent information and customer face information
S103, if the user does not bind the information of the broker or the agent, automatically associating the strange user information to the ID of the broker or the agent to form an independent associated ID or mark, and storing the corresponding information in a 2-storage module; if the user has bound other broker or agent information, the binding is unsuccessful.
The technical scheme of the invention, wherein the using method can comprise a method for identifying a broker or an agent by client transaction:
the first step, after the customer deals with, automatically identify the face information of the customer,
and step two, a 4-searching comparison module searches the correlation ID or mark through the face information of the client and then identifies the information of the broker or the agent. Then, the client is subjected to deal calibration, and the broker or the agent is automatically notified. The calibration can not be specially searched, so that the labor cost is saved, the working efficiency is improved, and the intentional uncalibrated skip of the order after the transaction can be avoided.
In the visiting reception process of the client, each visiting of the client is calibrated by the method, and then the visiting information is informed to the broker or the agent.
The present invention is not limited to the above-described embodiments, and any variations, modifications, and substitutions which may occur to those skilled in the art may be made without departing from the spirit of the invention.
Claims (4)
1. A face recognition client distribution system and a use method are characterized in that the system comprises a face information acquisition module, a storage module, a face memory ID association module and a searching and comparing module;
the face information acquisition module is used for acquiring face information;
the face memory ID association module is used for binding with ID information of associated clients to form independent associated IDs or marks;
the searching and comparing module is used for searching the face information memory in the storage module, comparing with the obtained face information, and searching corresponding client information through the associated ID;
the storage module is used for storing face information and storing ID or mark information.
2. The system of claim 1, wherein when a user visits, the system automatically scans face information to identify broker or agent information, and then automatically associates strange user information with the broker or agent ID to form an independent association ID or label, and stores the corresponding information in the storage module;
when the strange user visits again, the face information is automatically scanned, or when the face information of the client is identified, the correlation ID or the mark is searched through the searching and comparing module, and the corresponding broker or agent information is searched.
3. The system as claimed in claim 1, wherein the method of use comprises one or more of the following methods of associating a user with a broker or agent with an ID or tag:
the method comprises the following steps: when a user registers, face information is identified, and a corresponding broker or agent is bound to form an independent associated ID or mark;
the second method comprises the following steps: firstly, carrying out face recognition when a broker or an agent registers, and memorizing and storing related information; secondly, automatically scanning face information of the broker or the agent and the client when the broker or the agent visits with the client; thirdly, a searching and comparing module is used for identifying the information of the broker or the agent and the face information of the client, if the user does not bind the information of the broker or the agent, the strange user information is automatically associated to the ID of the broker or the agent to form an independent associated ID or mark, and the corresponding information is stored in a storage module; if the user has bound other broker or agent information, the binding is unsuccessful.
4. The face recognition client distribution system and method of use as claimed in claim 1, wherein said method of use may comprise a client deal recognition broker or agent method:
the first step, after the customer deals with, automatically identify the face information of the customer,
and secondly, searching a comparison module, searching the correlation ID or mark through the face information of the client, and then identifying the information of the broker or the agent.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010449083.8A CN111666440A (en) | 2020-05-25 | 2020-05-25 | Face recognition client distribution system and use method |
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| CN202010449083.8A CN111666440A (en) | 2020-05-25 | 2020-05-25 | Face recognition client distribution system and use method |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108596706A (en) * | 2018-03-27 | 2018-09-28 | 王升 | A kind of application method of agency business system and corresponding network platform |
| WO2018184301A1 (en) * | 2017-04-07 | 2018-10-11 | 平安科技（深圳）有限公司 | Business outlet sales service system, method, server and storage medium |
| CN108694626A (en) * | 2018-07-09 | 2018-10-23 | 重庆锐云科技有限公司 | Customer profile method for building up and device |
| CN109492998A (en) * | 2018-11-02 | 2019-03-19 | 广东阅云科技有限公司 | A kind of method and system for preventing from flying list based on recognition of face |
| CN109978621A (en) * | 2019-03-25 | 2019-07-05 | 重庆锐云科技有限公司 | Real estate channel customer and commission settlement management method, integral system |
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2020
- 2020-05-25 CN CN202010449083.8A patent/CN111666440A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018184301A1 (en) * | 2017-04-07 | 2018-10-11 | 平安科技（深圳）有限公司 | Business outlet sales service system, method, server and storage medium |
| CN108596706A (en) * | 2018-03-27 | 2018-09-28 | 王升 | A kind of application method of agency business system and corresponding network platform |
| CN108694626A (en) * | 2018-07-09 | 2018-10-23 | 重庆锐云科技有限公司 | Customer profile method for building up and device |
| CN109492998A (en) * | 2018-11-02 | 2019-03-19 | 广东阅云科技有限公司 | A kind of method and system for preventing from flying list based on recognition of face |
| CN109978621A (en) * | 2019-03-25 | 2019-07-05 | 重庆锐云科技有限公司 | Real estate channel customer and commission settlement management method, integral system |
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