CN110852264A - Method and device for service directional recommendation based on face recognition - Google Patents
Method and device for service directional recommendation based on face recognition Download PDFInfo
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Abstract
The invention discloses a service directional recommendation method based on face recognition, which comprises a queuing and number-taking device, wherein the queuing and number-taking device comprises a face recognition device; when a client walks into the recognition range of the face recognition camera of the interactive queuing machine, the client information is acquired by the face recognition device and then transmitted to the queuing and number-taking device; the queuing and number-taking device collects the number of clicks of the service on the queuing and number-taking device and the client information within a certain historical period, and establishes a matching relation between the service and the client information; and the queuing and number-taking device sends the service option to the client according to the matching relation. The invention also discloses a device for service directional recommendation based on face recognition, which comprises a face recognition device, a service processing device and a customer behavior statistical device.
Description
Technical Field
The invention relates to an autonomous registration and recommendation method, in particular to a customer marketing registration and service directional recommendation method and device based on face recognition, which are used by a queuing number-taking device.
Background
On the basis that a queuing machine device provides an effective queuing and number calling function for a network point in the hall places such as banks, administrative service centers, telecom intelligent business halls, tax halls, organs and the like, the concepts of scientific shunting of queued clients, emphasis on optimization of resource allocation, first-come first-serve, fair-serve, high-quality client priority service, high-end client one-to-one service and the like are realized, the hall working efficiency is finally improved, the client waiting time is reduced, and the client satisfaction is improved. The prior hall customer distribution equipment is developing towards the directions of self-service, intellectualization, no humanization and the like, and how to help a hall to identify accurate customers is the problem to be solved by intelligent equipment for intelligently recommending relevant products of the customers and knowing the requirements of the customers.
The common hall service equipment with face recognition is difficult to realize that different service contents exist for different clients, the hall service equipment is only used as a recognition function and does not deeply mine the interactive function of the hall service equipment, and for clients with fuzzy recognition, basic information of the clients cannot be mastered in time, so that marketing opportunities are possibly missed.
Disclosure of Invention
In order to solve the problems, the patent designs a method and a device for service directional recommendation based on face recognition, so that a customer directly feels self-service intelligence and convenience, and the independent rapid distribution and accurate marketing functions of the customer are realized.
In order to achieve the purpose, the invention adopts the technical scheme that: a business directional recommendation method based on face recognition comprises a queuing and number-taking device, wherein the queuing and number-taking device comprises a face recognition device;
when a client walks into the recognition range of the face recognition camera of the interactive queuing machine, the client information is acquired by the face recognition device and then transmitted to the queuing and number-taking device;
the queuing and number-taking device collects the number of clicks of the service on the queuing and number-taking device (the range can be the number of transactions or clicks of a certain service on the queuing and number-taking device in the mechanism) and the client information (such as age, sex and the like) within a certain historical period, and establishes the matching relationship between the service and the client information; the matching relationship is the result after the information is comprehensively compared, and has traceability and causality.
And the queuing and number-taking device sends the service option to the client according to the matching relation.
Further, the method also comprises the following steps:
step 1, after acquiring customer information, a face recognition device judges whether the customer information is matched with a face information base;
step 2, if the matching is successful, finishing the accurate identification of the client, and executing step 4; if the matching is not successful, the accurate identification of the client is not completed, and whether the client is registered is judged;
step 3, if the customer registers, certificate recognition is carried out, customer information is collected through a face recognition device, registration is completed, and step 4 is executed;
and 4, the queuing and number-taking device sends service options to the client according to the matching relation, and after number taking is completed, the queuing and number-taking device counts client information and service data.
Further, the method also comprises the following steps: step 3.1, if the client does not successfully register in the step 3, judging whether to re-register, if so, executing the step 3; if the customer registration is successful, the queuing and number-taking device sends the customer information to a bank CRM system, and the accuracy of the bank for obtaining the customer information is guaranteed.
Further, the method also comprises the following steps: and 3.2, if the client who does not finish the registration does not perform the registration, analyzing the gender and/or the age based on the client information acquired by the face recognition device, and pushing service options according to the matching relation between the client information and the number of clicks of the service, namely installing a fuzzy recognition mode to recommend the service.
Further, the client information matching mode in step 1 is as follows: the queuing and number-taking device is connected with the bank CRM service platform through an interface, the uniformity of customer information is ensured, and customer identification information in the queuing and number-taking device is matched with customer head portrait information of the bank CRM service platform.
Further, the method for calculating the matching relationship between the service and the client information comprises the following steps: the queuing and number-taking device is combined with historical business handling data, the gender and the age in the client information are counted, and the matching relation between different ages and the gender and the handled business is calculated.
Further, the data on which the matching relationship between the service and the client information depends further includes: customer classification statistics and/or customer behavior statistics (e.g., rating information of currently transacted customers, records of prior transaction of currently transacted customers).
In a preferred mode, the advertisement is played circularly when no client transacts business in the front; when the face recognition device recognizes that a client transacts business before, the face recognition device collects client information and matches the client information in a face information base.
The invention also discloses a device for recommending the business orientation based on the face recognition, which comprises a face recognition device, a business processing device and a customer behavior statistical device;
the face recognition device comprises a face recognition camera and a face recognition processing device, and the face recognition camera is used for collecting client information; the face recognition processing device is used for recognizing the collected client information and judging whether the client information is matched with the face information base;
the client behavior statistical device is used for counting the matching relation between the client information and the transacted business data;
and the business processing device is connected with the face recognition device and the client behavior statistical device, and processes the data sent by the face recognition processing device based on the matching relationship to obtain business options sent to the client.
Further, the certificate recognition system also comprises a certificate reader and a face registration device, and the certificate recognition registration is carried out on the client who fails in matching of the face information base.
The invention has the following beneficial effects: the application device based on face recognition and big data statistics can be used for carrying out targeted business promotion and marketing aiming at different target specific crowds, and can enable a user to selectively register, so that not only can accurate marketing be carried out, but also marketing effects can be fed back in real time.
The system camera is used for face recognition, butt joint of a CRM system connected with a bank is supported, data statistics is carried out in a big data mode, targeted and accurate marketing butt joint is carried out on people of different sexes and ages, meanwhile, a client shunting and number taking function can be completed, connection of a bank client recognition system is supported, integration and unification of bank equipment are completed, and expansibility, inheritance, interestingness and purposiveness of the equipment are improved.
The queuing and number-taking device adopts a modular system structure, the introduction of new functions does not influence the original functional modules, and the queuing and number-taking device has good expandability. The queuing and number-taking device provides a simple and interactive interface, and the interaction process is smooth, simple and convenient. The queuing and number-taking device realizes the marketing function and the service recommendation of the client by combining the face recognition device with the voice broadcast.
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Fig. 1 is a flowchart of an implementation of a method for service-oriented recommendation based on face recognition according to an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and specific examples.
The method and the device for customer marketing registration and service directional recommendation based on face recognition comprise a display screen, wherein the display screen is used for interactive display with customers and customer confirmation and modification information. The face recognition device comprises a face recognition camera and a face recognition processing device. The system also comprises a face registration device and a customer behavior statistical device.
The face recognition camera is used for carrying out preliminary feature acquisition on the face. And the face recognition processing device is used for carrying out accurate recognition or fuzzy recognition (incomplete accurate recognition) on the collected face data. And the business processing device processes the data sent by the face recognition processing device, and returns the optimal business information of the client through the business judgment algorithm. And the customer behavior statistical device is used for counting number taking information and concerned business data of different customers.
In the queuing and number-taking device, the camera equipment is fixed at the specified position of the queuing and number-taking device; circularly playing advertisements when no client transacts business in the future; when the camera equipment identifies that a client transacts business before, the camera equipment collects face characteristic information and matches the face characteristic information in a face information base in a bank CRM service platform;
if the matching is not successful, confirming that the client is fuzzy identification, giving appropriate welcome guide prompt information, guiding the client to complete identity registration, swiping an identity card by the client in a certificate reader (such as an identity card identification area), acquiring the identity information of the client through a program peripheral device at the moment, and giving privacy authority confirmation on a page; and when the client agrees to register, the queuing device sends corresponding client information and the client face information acquired by the camera to the face recognition device for registering.
In the scene, the customers have the right of awareness and the right of self-selection, and the customer information is stored in the bank CRM system in an information code stream mode.
As shown in fig. 1, an implementation flowchart of the service targeting recommendation method based on face recognition in this embodiment is shown. The business with the largest number handled in the last 30 days can be counted, the system is called as hot spot business, and the business with the largest number can be recommended to the client with emphasis. The system is combined with historical transaction data, the gender and age group analysis of the client are counted, the business transacted by the client of different ages and genders is calculated, when the client transacts the business in the future, the algorithm is combined with face recognition information to match the age group and the gender of the client to proper business options, and then differentiated business recommendation is formed. Such as: the face recognizes that the client is 40 years old and the female, and the most frequently transacted business of the female of about 40 years old is calculated by combining an algorithm and is a financial business; in addition, the most frequently handled service is the integrated service by combining the historical handling data of nearly 30 days, and the recommended services given by the system on the interface are financial services and integrated services respectively.
In the queuing and number-taking device of the embodiment, the equipment can use a display device, a certificate reader device and a ticket issuing device, and is also integrated with a face recognition camera. When no person handles the business, the advertisement is played circularly, when a client enters an effective identification area, the characteristics of the age, the gender and the like of the current face are identified, whether the current client is the accurate identification client is judged by combining the data in the face information base, and the most close business which is expected by the client is intelligently recommended according to the big data statistical information which is returned after the queuing machine device processes, so that exclusive marketing and business handling are carried out. When the client confirms to transact the recommended service or autonomously selects the service, the service of operation and the identity information of the current client are recorded, and the data are sent to a statistical device for big data statistics to be used as basic data for next scene recognition. If the client identification is fuzzy identification, the interactive queuing machine device prompts the client to carry out personal information registration through voice in the whole process and stores the client information; the accurate and personalized customization service is guaranteed to be provided subsequently, and meanwhile the selection right and the informed right of the client registration information are guaranteed. And after the person finishes number taking and leaves, storing the number taking information of the client and carrying out circular default advertisement playing or other operations according to a default flow.
Although the present invention has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A method for service directional recommendation based on face recognition is characterized in that: the queuing and number-taking device comprises a face recognition device;
when a client walks into the recognition range of the face recognition camera of the interactive queuing machine, the client information is acquired by the face recognition device and then transmitted to the queuing and number-taking device;
the queuing and number-taking device collects the number of clicks of the service on the queuing and number-taking device and the client information within a certain historical period, and establishes a matching relation between the service and the client information;
and the queuing and number-taking device sends the service option to the client according to the matching relation.
2. The method for recommending service direction based on face recognition according to claim 1, further comprising the steps of:
step 1, after acquiring customer information, a face recognition device judges whether the customer information is matched with a face information base;
step 2, if the matching is successful, finishing the accurate identification of the client, and executing step 4; if the matching is not successful, the accurate identification of the client is not completed, and whether the client is registered is judged;
step 3, if the customer registers, certificate recognition is carried out, customer information is collected through a face recognition device, registration is completed, and step 4 is executed;
and 4, the queuing and number-taking device sends service options to the client according to the matching relation, and after number taking is completed, the queuing and number-taking device counts client information and service data.
3. The method for recommending service direction based on face recognition according to claim 2, further comprising the steps of:
step 3.1, if the client does not successfully register in the step 3, judging whether to re-register, if so, executing the step 3; if the customer registration is successful, the queuing and number-taking device sends the customer information to the bank CRM system.
4. The method for recommending service orientation based on face recognition according to claim 2 or 3, further comprising the following steps:
and 3.2, if the client who does not finish the registration does not perform the registration, analyzing the gender and/or the age based on the client information acquired by the face recognition device, and pushing the service options according to the matching relationship between the client information and the number of clicks of the service.
5. The method for service oriented recommendation based on face recognition according to claim 2, wherein:
the client information matching mode in the step 1 is as follows: the queuing and number-taking device is connected with the bank CRM service platform through an interface, the uniformity of customer information is ensured, and customer identification information in the queuing and number-taking device is matched with customer head portrait information of the bank CRM service platform.
6. The method for service oriented recommendation based on face recognition according to claim 1 or 2, characterized in that:
the method for calculating the matching relationship between the service and the client information comprises the following steps: the queuing and number-taking device is combined with historical business handling data, the gender and the age in the client information are counted, and the matching relation between different ages and the gender and the handled business is calculated.
7. The method for service oriented recommendation based on face recognition according to claim 6, wherein:
the data depended by the matching relation of the service and the client information further comprises: customer classification statistics and/or customer behavior statistics.
8. The method for service oriented recommendation based on face recognition according to any one of claims 1 to 3, characterized by:
circularly playing advertisements when no client transacts business in the future; when the face recognition device recognizes that a client transacts business before, the face recognition device collects client information and matches the client information in a face information base.
9. A device for service directional recommendation based on face recognition is characterized in that: the system comprises a face recognition device, a business processing device and a customer behavior statistical device;
the face recognition device comprises a face recognition camera and a face recognition processing device, and the face recognition camera is used for collecting client information; the face recognition processing device is used for recognizing the collected client information and judging whether the client information is matched with the face information base;
the client behavior statistical device is used for counting the matching relation between the client information and the transacted business data;
and the business processing device is connected with the face recognition device and the client behavior statistical device, and processes the data sent by the face recognition processing device based on the matching relationship to obtain business options sent to the client.
10. The apparatus for service oriented recommendation based on face recognition according to claim 9, wherein: the certificate recognition system also comprises a certificate reader and a face registration device, and is used for carrying out certificate recognition registration on a client with unsuccessful matching of the face information base.
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