CN111046360A - Customer information management method and system based on face recognition - Google Patents
Customer information management method and system based on face recognition Download PDFInfo
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- CN111046360A CN111046360A CN201911111337.9A CN201911111337A CN111046360A CN 111046360 A CN111046360 A CN 111046360A CN 201911111337 A CN201911111337 A CN 201911111337A CN 111046360 A CN111046360 A CN 111046360A
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Abstract
A customer information management method, system and computer readable storage medium based on face recognition, wherein the method comprises: acquiring store personnel image information, performing face recognition on the store personnel image information based on a customer information database, and creating or updating customer information in the customer information database according to a recognition result; acquiring image information of consumers, carrying out face recognition on the image information of the consumers on the basis of the customer information database, determining corresponding customers according to recognition results, and updating the customer information in the customer information database; and analyzing and managing according to the customer information. In the embodiment of the application, the customer only needs to go to the store, namely, the customer information is kept in the customer information database, and when consumer analysis is carried out, the corresponding customer is directly determined, so that the corresponding customer information is updated, and convenient and fast customer information management can be realized.
Description
Technical Field
The present disclosure relates to the field of information management, and more particularly, to a method, system and computer-readable storage medium for managing client information based on face recognition.
Background
At present, the statistical analysis of the passenger flow volume is more and more emphasized in the offline stores of various chain enterprises. Passenger flow volume statistics is generally carried out by arranging devices such as infrared sensors, but the method is low in accuracy.
In addition, the related technology only simply counts the passenger flow volume information entering and leaving the store every day, and the statistical mode is single, so that the requirement of big data cannot be met.
Disclosure of Invention
The application provides a customer information management method, a customer information management system and a computer-readable storage medium based on face recognition, so as to analyze and manage customer information.
The embodiment of the application provides a customer information management method based on face recognition, which comprises the following steps:
acquiring store personnel image information, performing face recognition on the store personnel image information based on a customer information database, and creating or updating customer information in the customer information database according to a recognition result;
acquiring image information of consumers, carrying out face recognition on the image information of the consumers on the basis of the customer information database, determining corresponding customers according to recognition results, and updating the customer information in the customer information database;
and analyzing and managing according to the customer information.
In one embodiment, the image information of the person arriving at the store comprises a face image of the person arriving at the store and time and position information, the face recognition is carried out on the image information of the person arriving at the store based on a customer information database, and the creating or updating of customer information in the customer information database according to the recognition result comprises:
identifying and matching the face images of the store arriving personnel based on the face images in the customer information database, if the matched face images are not found in the customer information database, establishing a customer in the customer information database, and storing the face images of the customer and the store arriving time and position information; and if the matched face image is found in the customer information database, determining a corresponding customer, and storing the arrival time and position information of the customer in the customer information database.
In an embodiment, the image information of the consumer includes a facial image of the consumer and time and location information, the facial recognition is performed on the image information of the consumer based on the customer information database, a corresponding customer is determined according to a recognition result, and updating the customer information in the customer information database includes:
identifying and matching face images of consumers based on the face images in the client information database, determining corresponding clients according to the matched face images, and storing consumption time and position information of the clients in the client information database.
In an embodiment, the customer information includes a consumption mark, the performing face recognition on the image information of the consumption person based on the customer information database, determining a corresponding customer according to a recognition result, and updating the customer information in the customer information database further includes:
and determining whether the customer is provided with a consumption mark, and if not, adding the consumption mark of the customer in the customer information database.
In an embodiment, after determining the corresponding client according to the recognition result, the method further includes:
and displaying the customer information corresponding to the customer.
In one embodiment, the analyzing and managing according to the customer information includes:
and determining track information of one or more customers and/or customer traffic information of one or more stores according to the arrival time position information and the consumption time position information in the customer information.
In one embodiment, the customer information includes identification information of the customer, a face image, arrival time location information, consumption tag information, and consumption time location information.
An embodiment of the present application further provides a customer information management system based on face recognition, including:
the store-arriving image acquisition module is used for acquiring store personnel image information;
the store arriving personnel analysis module is used for carrying out face recognition on the store arriving personnel image information based on a customer information database, and creating or updating customer information in the customer information database according to a recognition result;
the consumption image acquisition module is used for acquiring image information of consumption personnel;
the consumer analysis module is used for carrying out face recognition on the image information of the consumer based on the client information database, determining a corresponding client according to a recognition result, and updating the client information in the client information database;
the consumer management module is used for analyzing and managing according to the customer information;
and the customer information database is used for storing the customer information.
An embodiment of the present application further provides a customer information management system based on face recognition, including: the client information management method based on the face recognition comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program to realize the client information management method based on the face recognition.
The embodiment of the application also provides a computer-readable storage medium, which stores computer-executable instructions, wherein the computer-executable instructions are used for executing the customer information management method based on the face recognition.
Compared with the related art, the method comprises the following steps: acquiring store personnel image information, performing face recognition on the store personnel image information based on a customer information database, and creating or updating customer information in the customer information database according to a recognition result; acquiring image information of consumers, carrying out face recognition on the image information of the consumers on the basis of the customer information database, determining corresponding customers according to recognition results, and updating the customer information in the customer information database; and analyzing and managing according to the customer information. In the embodiment of the application, the customer only needs to go to the store, namely, the customer information is kept in the customer information database, and when consumer analysis is carried out, the corresponding customer is directly determined, so that the corresponding customer information is updated, and convenient and fast customer information management can be realized.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application. Other advantages of the application may be realized and attained by the instrumentalities and combinations particularly pointed out in the specification, claims, and drawings.
Drawings
The accompanying drawings are included to provide an understanding of the present disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the examples serve to explain the principles of the disclosure and not to limit the disclosure.
Fig. 1 is a flowchart of a customer information management method based on face recognition according to an embodiment of the present application;
fig. 2 is a schematic diagram of a customer information management system based on face recognition according to an embodiment of the present application.
Detailed Description
The present application describes embodiments, but the description is illustrative rather than limiting and it will be apparent to those of ordinary skill in the art that many more embodiments and implementations are possible within the scope of the embodiments described herein. Although many possible combinations of features are shown in the drawings and discussed in the detailed description, many other combinations of the disclosed features are possible. Any feature or element of any embodiment may be used in combination with or instead of any other feature or element in any other embodiment, unless expressly limited otherwise.
The present application includes and contemplates combinations of features and elements known to those of ordinary skill in the art. The embodiments, features and elements disclosed in this application may also be combined with any conventional features or elements to form a unique inventive concept as defined by the claims. Any feature or element of any embodiment may also be combined with features or elements from other inventive aspects to form yet another unique inventive aspect, as defined by the claims. Thus, it should be understood that any of the features shown and/or discussed in this application may be implemented alone or in any suitable combination. Accordingly, the embodiments are not limited except as by the appended claims and their equivalents. Furthermore, various modifications and changes may be made within the scope of the appended claims.
Further, in describing representative embodiments, the specification may have presented the method and/or process as a particular sequence of steps. However, to the extent that the method or process does not rely on the particular order of steps set forth herein, the method or process should not be limited to the particular sequence of steps described. Other orders of steps are possible as will be understood by those of ordinary skill in the art. Therefore, the particular order of the steps set forth in the specification should not be construed as limitations on the claims. Further, the claims directed to the method and/or process should not be limited to the performance of their steps in the order written, and one skilled in the art can readily appreciate that the sequences may be varied and still remain within the spirit and scope of the embodiments of the present application.
As shown in fig. 1, a customer information management method based on face recognition in an embodiment of the present application includes:
The image information of the person arriving at the store may include a face image of the person arriving at the store and time position information.
The time and position information comprises time information and position information, the time information is time for acquiring a face image, the position information can be position information of a store or identification information of image acquisition equipment, the identification information corresponds to the position of the store, for example, the camera can be numbered, the camera also uploads the number of the camera when uploading image data, and the number corresponds to the position information of the camera.
Can gather the face image at shop entrance through the camera to time information and positional information when acquireing the collection obtain shop personnel image information.
The customer information may include identification information of the customer, a face image, arrival time location information, consumption tag information, and consumption time location information. Store location information may be set in advance in the customer information database.
In step 101, the face images of the store arriving personnel are identified and matched based on the face images in the customer information database, and the identification result can be divided into two conditions:
1. client information in newly-built client information database
And if the matched face image is not found in the customer information database, a customer is newly built in the customer information database, and the face image of the customer and the store-arrival time and position information are stored.
Wherein, newly building a client in the client information database is to allocate a new client Identification (ID) in the client information database, and the client identification may also be referred to as a client code.
In this step, when no record is recorded by the store arrival staff, a new client is created and the corresponding store arrival client information (store arrival time and location information) is stored.
2. Updating customer information in a customer information database
And if the matched face image is found in the customer information database, determining a corresponding customer, and storing the arrival time and position information of the customer in the customer information database.
In this step, if there is a relevant record for the store arrival person, the store arrival client information (store arrival time and location information) is updated.
It should be noted that the customer information database may further store a face image of a salesperson, and after obtaining the store staff image information, it is determined that the image information is not matched with the face image of the salesperson, that is, the store staff is not a salesperson but a customer.
102, acquiring image information of a consuming person, carrying out face recognition on the image information of the consuming person based on the customer information database, determining a corresponding customer according to a recognition result, and updating the customer information in the customer information database.
The image information of the consumers can comprise face images of the consumers and time position information.
The face image of a person paying and closing the account at a cash register can be acquired through the camera, and time information and position information of consumption are acquired to obtain image information of the consumer.
Through step 101, the customer information database stores the face images of the store arriving personnel, and the consumer personnel certainly belong to the store arriving personnel, so the customer information database stores the face images of the corresponding customers.
In one embodiment, the step 102 includes:
identifying and matching face images of consumers based on the face images in the client information database, determining corresponding clients according to the matched face images, and storing consumption time and position information of the clients in the client information database.
In one embodiment, the step 102 further comprises:
and determining whether the customer is provided with a consumption mark, and if not, adding the consumption mark of the customer in the customer information database.
Wherein, whether the customer has consumed or not can be judged according to the consumption mark, if no consumption mark exists, the consumption mark is added in the customer information data of the customer; and adds a new consumption record in the customer information database.
In an embodiment, after determining the corresponding client according to the recognition result, the method further includes: and displaying the customer information corresponding to the customer.
The cashier desk can be provided with a display submodule for displaying the searched customer information, and the salesperson can introduce corresponding products according to the customer information.
And 103, analyzing and managing according to the customer information.
In one embodiment, the step 103 comprises:
and determining track information of one or more customers and/or customer traffic information of one or more stores according to the arrival time position information and the consumption time position information in the customer information.
The analysis can be carried out aiming at the customer, and the track information of the customer can be determined, such as the frequency of arriving at a store, the frequency of consumption, frequent visits to the store and the like of the customer, so that more meaningful data can be provided for store managers. In addition, analysis is carried out aiming at one or more stores, and the customer flow and the corresponding time period are determined, so that store managers can reasonably distribute staff conveniently.
In the embodiment of the application, the customer information is retained in the customer information database as long as the customer enters a store, and when the customer analysis is carried out, the corresponding customer is directly determined, so that the related consumption data (such as consumption time and position information) is updated to the corresponding customer information data, and convenient and fast customer information management can be realized. Moreover, the customer information can be analyzed and managed in a deeper level, and the behavior track of the customer can be researched, so that the customer can be better known, store managers can be helped to better manage the life cycle of the customer, and the store opening and address selection can be optimized.
As shown in fig. 2, an embodiment of the present application further provides a customer information management system based on face recognition, including:
the store-arriving image acquisition module 21 is used for acquiring store personnel image information;
the store arriving personnel analysis module 22 is used for carrying out face recognition on the store arriving personnel image information based on the customer information database 23, and creating or updating customer information in the customer information database according to the recognition result;
the consumption image acquisition module 24 is used for acquiring image information of the consumers;
a consumer analysis module 25, configured to perform face recognition on the image information of the consumer based on the client information database 23, determine a corresponding client according to a recognition result, and update the client information in the client information database;
a consumer management module 26 for analyzing and managing according to the customer information;
a customer information database 23 for storing the customer information.
In the embodiment of the application, the customer only needs to go to the store, namely, the customer information is kept in the customer information database, and when consumer analysis is carried out, the corresponding customer is directly determined, so that the corresponding customer information is updated, and convenient and fast customer information management can be realized.
The to-store image acquisition module 21 can be implemented by a camera.
The image information of the person arriving at the store may include a face image of the person arriving at the store and time position information.
The time and position information comprises time information and position information, the time information is time for acquiring a face image, the position information can be position information of a store or identification information of image acquisition equipment, the identification information corresponds to the position of the store, for example, the camera can be numbered, the camera also uploads the number of the camera when uploading image data, and the number corresponds to the position information of the camera.
Can gather the face image at shop entrance through the camera to time information and positional information when acquireing the collection obtain shop personnel image information.
In an embodiment, the to-store personnel analysis module 22 is configured to identify and match the face images of the to-store personnel based on the face images in the customer information database, and if no matched face image is found in the customer information database, create a new customer in the customer information database, and store the face image of the customer and the time-to-store location information; and if the matched face image is found in the customer information database, determining a corresponding customer, and storing the arrival time and position information of the customer in the customer information database.
The customer information may include identification information of the customer, a face image, arrival time location information, consumption tag information, and consumption time location information.
The consumption image acquisition module 24 may be implemented by a camera.
The image information of the consumers can comprise face images of the consumers and time position information.
The face image of a person paying and closing the account at a cash register can be acquired through the camera, and time information and position information of consumption are acquired to obtain image information of the consumer.
In an embodiment, the consumer analysis module 25 is configured to perform recognition and matching on facial images of consumers based on the facial images in the client information database, determine corresponding clients according to the matched facial images, and store consumption time and location information of the clients in the client information database.
In an embodiment, the consumer analysis module 25 is further configured to determine whether the customer has a consumption flag, and if not, add the consumption flag of the customer in the customer information database.
Wherein, whether the customer has consumed or not can be judged according to the consumption mark, if no consumption mark exists, the consumption mark is added in the customer information data of the customer; and adds a new consumption record in the customer information database.
In an embodiment, the consumer analysis module 25 includes a display sub-module for displaying the searched customer information.
The cashier desk can be provided with a display submodule for displaying the searched customer information, and the salesperson can introduce corresponding products according to the customer information.
In an embodiment, the customer management module 26 is configured to determine trajectory information of one or more customers and/or customer traffic information of one or more stores according to the arrival time location information and the consumption time location information in the customer information.
The analysis can be carried out aiming at the customer, and the track information of the customer can be determined, such as the frequency of arriving at a store, the frequency of consumption, frequent visits to the store and the like of the customer, so that more meaningful data can be provided for store managers. In addition, analysis is carried out aiming at one or more stores, and the customer flow and the corresponding time period are determined, so that store managers can reasonably distribute staff conveniently.
In the embodiment of the application, when the information is counted during customer consumption, the corresponding customer information can be directly and quickly found according to the facial image characteristics; even the first-time consumption customer, because the face feature information of the customer is counted by the store-arriving personnel analysis module, the customer account is not required to be reestablished (namely, a new customer identification is not required to be given). In addition, the track and thermodynamic diagrams of the customer on a store distribution network can be obtained by combining the position data, and the enterprise can be helped to select the address of a new store and adjust the passenger flow as a reference.
An embodiment of the present application further provides a customer information management system based on face recognition, including: the client information management method based on the face recognition comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program to realize the client information management method based on the face recognition.
The embodiment of the application also provides a computer-readable storage medium, which stores computer-executable instructions, wherein the computer-executable instructions are used for executing the customer information management method based on the face recognition.
In this embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
It will be understood by those of ordinary skill in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
Claims (10)
1. A customer information management method based on face recognition is characterized by comprising the following steps:
acquiring store personnel image information, performing face recognition on the store personnel image information based on a customer information database, and creating or updating customer information in the customer information database according to a recognition result;
acquiring image information of consumers, carrying out face recognition on the image information of the consumers on the basis of the customer information database, determining corresponding customers according to recognition results, and updating the customer information in the customer information database;
and analyzing and managing according to the customer information.
2. The customer information management method based on face recognition according to claim 1, wherein the image information of the person arriving at the store includes a face image of the person arriving at the store and time position information, the face recognition is performed on the image information of the person arriving at the store based on the customer information database, and creating or updating the customer information in the customer information database according to the recognition result includes:
identifying and matching the face images of the store arriving personnel based on the face images in the customer information database, if the matched face images are not found in the customer information database, establishing a customer in the customer information database, and storing the face images of the customer and the store arriving time and position information; and if the matched face image is found in the customer information database, determining a corresponding customer, and storing the arrival time and position information of the customer in the customer information database.
3. The customer information management method based on face recognition according to claim 1, wherein the image information of the consumers includes face images of the consumers and time and position information, the image information of the consumers is face-recognized based on the customer information database, corresponding customers are determined according to the recognition result, and updating the customer information in the customer information database includes:
identifying and matching face images of consumers based on the face images in the client information database, determining corresponding clients according to the matched face images, and storing consumption time and position information of the clients in the client information database.
4. The customer information management method based on face recognition according to claim 2, wherein the customer information includes a consumption mark, the face recognition is performed on the image information of the consumption person based on the customer information database, a corresponding customer is determined according to the recognition result, and the updating of the customer information in the customer information database further includes:
and determining whether the customer is provided with a consumption mark, and if not, adding the consumption mark of the customer in the customer information database.
5. The customer information management method based on face recognition according to claim 1, wherein after determining the corresponding customer according to the recognition result, the method further comprises:
and displaying the customer information corresponding to the customer.
6. The customer information management method based on face recognition according to claim 1, wherein the analyzing and managing according to the customer information comprises:
and determining track information of one or more customers and/or customer traffic information of one or more stores according to the arrival time position information and the consumption time position information in the customer information.
7. The customer information management method based on face recognition according to any one of claims 1 to 6,
the customer information comprises identification information of a customer, a face image, store arrival time and position information, consumption mark information and consumption time and position information.
8. A customer information management system based on face recognition, comprising:
the store-arriving image acquisition module is used for acquiring store personnel image information;
the store arriving personnel analysis module is used for carrying out face recognition on the store arriving personnel image information based on a customer information database, and creating or updating customer information in the customer information database according to a recognition result;
the consumption image acquisition module is used for acquiring image information of consumption personnel;
the consumer analysis module is used for carrying out face recognition on the image information of the consumer based on the client information database, determining a corresponding client according to a recognition result, and updating the client information in the client information database;
the consumer management module is used for analyzing and managing according to the customer information;
and the customer information database is used for storing the customer information.
9. A customer information management system based on face recognition, comprising: memory, processor and computer program stored on the memory and executable on the processor, characterized in that the processor implements the method as claimed in claims 1 to 7 when executing the program.
10. A computer-readable storage medium storing computer-executable instructions for performing the method of any one of claims 1-7.
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Application publication date: 20200421 |