CN109214290A - A kind of shops's client management method and device based on recognition of face - Google Patents
A kind of shops's client management method and device based on recognition of face Download PDFInfo
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Abstract
This application provides a kind of shops's client management method based on recognition of face, shops's customer account management device based on recognition of face, terminal device and computer readable storage medium, the described method includes: obtaining the face picture of the client entered in video camera coverage, the face picture is compared with picture in face database, obtain comparison result, judge the client for new client or frequent customer according to the comparison result, and generate judging result, a client is increased newly in shops's service server to shop information and to record, according to the judging result and the first User Status, the first user terminal or second user terminal are pushed to shop information by described, it realizes and shops is descended to quickly recognize old and new customers and corresponding business information online using face recognition technology, and suitable contact staff is notified to receive in time.
Description
Technical field
The application belongs to technical field of face recognition more particularly to a kind of customer account management side of shops based on recognition of face
Method, shops's customer account management device, terminal device and computer readable storage medium based on recognition of face.
Background technique
With the rise upsurge of artificial intelligence technology, face recognition technology has been widely used in more and more industries,
The industry of comparative maturity is mostly in fields such as public security deployment, security protection, transport and communications at present, however commercial field it is few at
Ripe application, but commercial field is not without the market of artificial intelligence.
Xian Xia shops just faces some problems at present, for example when VIP client arrives shop, he bought in the past it is a little what
Commodity, which branch he went to；Frequent visitor how is identified from into customer family, and enters the number of shops's browsing product；Shops
Male to female ratio in passenger flow is how many, and mainstream customers age distribution is in which age bracket；Client arrives shop, how quickly and effectively to lead to
Know that contact staff receives, how contact staff understands the previous consumption of client and hobby etc..
Summary of the invention
In view of this, shops's client management method that this application provides a kind of based on recognition of face, being based on recognition of face
Shops's customer account management device, terminal device and computer readable storage medium, may be implemented using face recognition technology it is online
Lower shops quickly recognizes old and new customers and corresponding business information, and suitable contact staff is notified to receive in time.
The application first aspect provides a kind of shops's client management method based on recognition of face, which comprises
Obtain the face picture of the client entered in video camera coverage；
The face picture is compared with picture in face database, obtains comparison result；
Judge that the client for new client or frequent customer, and generates judging result according to the comparison result；
A client is increased newly in shops's service server to shop information and to record；
According to the judging result and the first User Status, the first user terminal or second are pushed to shop information by described
User terminal.
The application second aspect provides a kind of shops's customer account management device based on recognition of face, and described device includes:
Face picture module is obtained, for obtaining the face picture of the client entered in video camera coverage；
Comparison module obtains comparison result for the face picture to be compared with picture in face database；
First judgment module, for according to the comparison result judge client for new client or frequent customer, and give birth to
At judging result；
Generation module to shop information and is recorded for increasing a client newly in shops's service server；
Pushing module, for being pushed to first to shop information for described according to the judging result and the first User Status
User terminal or second user terminal.
The application third aspect provides a kind of terminal device, including memory, processor and is stored in above-mentioned memory
In and the computer program that can be run on above-mentioned processor, which is characterized in that above-mentioned processor executes above-mentioned computer program
The step of Shi Shixian such as above method.
The application fourth aspect provides a kind of computer readable storage medium, and above-mentioned computer-readable recording medium storage has
Computer program, which is characterized in that realize when above-mentioned computer program is executed by processor such as the step of the above method.
In the embodiment of the present application, the face picture for obtaining the client entered in video camera coverage, by the face
Picture is compared with picture in face database, obtains comparison result, judges the client for new client according to the comparison result
Or frequent customer, and judging result is generated, it increases a client newly in shops's service server and to shop information and records, according to institute
Judging result and the first User Status are stated, is pushed to the first user terminal or second user terminal to shop information for described, is realized
The shops is descended to quickly recognize old and new customers and corresponding business information online using face recognition technology, and notice is suitable in time
Contact staff receive.
Detailed description of the invention
It in order to more clearly explain the technical solutions in the embodiments of the present application, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only some of the application
Embodiment for those of ordinary skill in the art without any creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is a kind of implementation process for shops's client management method based on recognition of face that the embodiment of the present application one provides
Schematic diagram；
Fig. 2 is a kind of implementation process for shops's client management method based on recognition of face that the embodiment of the present application one provides
Schematic diagram；
Fig. 3 is a kind of implementation process for shops's client management method based on recognition of face that the embodiment of the present application two provides
Schematic diagram；
Fig. 4 is a kind of implementation process for shops's client management method based on recognition of face that the embodiment of the present application three provides
Schematic diagram；
Fig. 5 is a kind of implementation process for shops's client management method based on recognition of face that the embodiment of the present application four provides
Schematic diagram；
Fig. 6 is a kind of implementation process for shops's client management method based on recognition of face that the embodiment of the present application five provides
Schematic diagram；
Fig. 7 is a kind of structural representation for shops's customer account management device based on recognition of face that the embodiment of the present application six provides
Figure；
Fig. 8 is the structural schematic diagram for the robot that the embodiment of the present application seven provides.
Specific embodiment
In being described below, for illustration and not for limitation, the tool of such as particular system structure, technology etc is proposed
Body details, so as to provide a thorough understanding of the present application embodiment.However, it will be clear to one skilled in the art that there is no these specific
The application also may be implemented in the other embodiments of details.In other situations, it omits to well-known system, device, electricity
The detailed description of road and method, so as not to obscure the description of the present application with unnecessary details.
A kind of corpus acquisition method applied to robot provided by the embodiments of the present application is suitable for can be with people's information exchange
Robot.
In order to illustrate the above-mentioned technical solution of the application, the following is a description of specific embodiments.
Embodiment one
As shown in Figure 1, present embodiments providing a kind of shops's client management system 100 based on recognition of face, the system
System includes: face application server 10, video camera 20, face recognition engine 30, shops's service server 40 and terminal device 50.
Face application server 10 is connect with video camera 20, recognition of face server 30, shops's service server 40 with terminal device 50.
Face application server 10 is monitored for the picture by coming to upload, files, and calls recognition of face
Engine 30 carries out recognition of face, and identification data are then passed to Portal Service server 40 and carry out other operations.
Video camera 20 for capturing to the face for entering range of video region, and will capture picture by network and pass
Give face application server 10.
Face recognition engine 30, for the picture received to be carried out search operaqtion in face database, and search result
Return to face application server 10；Meanwhile face recognition engine such as also supports the increasing of face database, deletes, changes, looking at the common processing.
Shops's service server 40 is terminal for docking and integrating with the operation system of client and shops's system
Equipment 50 provides related data.Shops's system, which refers to, can be used for Xian Xia shops, to shops provide the daily identification into customer family,
A series of system of complete functions such as maintenance, management and tracking.The operation system of the client refers to including recording, counting client's
The system of business.
Terminal device 50, is equipped with mobile APP, concretely operates in the mobile phones such as Android, apple or tablet computer, is convenient for
Carry out business datum displaying.The terminal device 50 includes the first user terminal and second user terminal.
As shown in Fig. 2, present embodiments providing a kind of shops's client management method based on recognition of face, the method packet
Include the following steps successively executed:
Step S201: the face picture of the client entered in video camera coverage is obtained.
In a particular application, the video camera is mounted on the doorway position of shops, enters video camera shooting model for shooting
The face picture of client in enclosing.The video camera utilizes network high-definition camera or existing shops's security protection camera, works as someone
When entering in coverage, an optimal face picture is actively grabbed.
Step S202: the face picture is compared with picture in face database, obtains comparison result.
In a particular application, face database includes VIP (Very Important People, member) customer data, can also be with
New customer data is constantly added in face recognition process.
Step S203: according to the comparison result judge the client for new client or frequent customer, and generate judgement knot
Fruit.
In a particular application, frequent customer is the frequent customer of VIP client either once Lai Guo shops；It is on the contrary then be considered as new visitor
Family.
Step S204: a client is increased newly in shops's service server and to shop information and is recorded.
In a particular application, it is described to shop information include basic to shop time, Customer ID (Identification, body
Part information), client's picture, the information such as shops position.
Step S205: according to the judging result and the first User Status, the first user is pushed to shop information by described
Terminal or second user terminal.
In a particular application, first user refers to the bottom-up employees such as salesman, can be multiple.The second user
Refer to the employee of the higher levels such as shopkeeper or manager, or multiple.First User Status includes having activated and unactivated state.
The state of activation is that first user is on-job state.The unactivated state indicates that first user is leaving office shape
State.First user terminal is the hand-held mobile terminal of first user, thereon equipped with the APP for receiving pushed information
(Application, application program).The second user terminal is the hand-held mobile terminal of the second user, is equipped with thereon
For receiving the APP (Application, application program) of pushed information.
In the embodiment of the present application, the face picture for obtaining the client entered in video camera coverage, by the face
Picture is compared with picture in face database, obtains comparison result, judges the client for new client according to the comparison result
Or frequent customer, and judging result is generated, it increases a client newly in shops's service server and to shop information and records, according to institute
Judging result and the first User Status are stated, is pushed to the first user terminal or second user terminal to shop information for described, is realized
The shops is descended to quickly recognize old and new customers and corresponding business information online using face recognition technology, and notice is suitable in time
Contact staff receive.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present application constitutes any limit
It is fixed.
Embodiment two
As shown in figure 3, present embodiments provide a kind of shops's client management method based on recognition of face, it is described obtain into
The face picture for entering the client in video camera coverage specifically includes the following steps successively executed:
Step S301: at least picture of the client entered in video camera coverage is obtained.
In a particular application, video camera shooting enters the multiple pictures of the client in range, in order to select optimal picture.
Step S302: glue file is written into an at least picture.
In a particular application, the glue file is located in the face application server, for storing described at least one
Picture.
Step S303: it obtains and increases picture in the glue file newly.
In a particular application, just occur when glue file is written in an at least picture, in the glue file new
Increase picture.
Step S304: the quality of human face image in the detection newly-increased picture.
In a particular application, the quality of human face image is the picture quality of face region.
Step S305: if described image quality is greater than or equal to first threshold, the newly-increased picture is considered as face figure
Piece.
In a particular application, it is preferential that recognition of face is called to draw after face application server gets the information of newly-increased picture
The Face datection interface held up, according to judgement quality of human face image is returned the result, if described image quality is greater than or equal to the first threshold
Value, then be considered as face picture for the newly-increased picture.
Step S306: if described image quality is less than first threshold, being considered as not can recognize face picture and directly deletes
The newly-increased picture.
In a particular application, if described image quality is less than first threshold, it is considered as and does not can recognize face picture and direct
The newly-increased picture is deleted, the occupancy of server resource is avoided.
In the embodiment of the present application, the plurality of pictures of video capture is screened, obtains the picture that can be considered face.
Embodiment three
As shown in figure 4, present embodiments provide a kind of shops's client management method based on recognition of face, it is described will be described
Face picture is compared with picture in face database, obtains comparison result, specifically includes the following steps successively executed:
Step S401: calling the face searching interface of face recognition engine, by picture in the face picture and face database
It is compared.
In a particular application, the face characteristic value of the face picture is extracted, the face characteristic value is according to face five
Company's numerical value that the factors such as official position, light, the colour of skin extract.
Step S402: it obtains corresponding greater than all pictures of second threshold with the similarity of face in the face picture
Face information and business information, as comparison result.
In a particular application, the similarity of the face is the comparison result of face characteristic value.
In the present embodiment, by calling the face searching interface of face recognition engine, by the face picture and face
Picture is compared in library, to carry out precise alignment, obtains accurately comparison result.
Example IV
As shown in figure 5, a kind of shops's client management method based on recognition of face is present embodiments provided, it is described according to institute
State comparison result and judge that the client for new client or frequent customer, and generates judging result, specifically include successively execute with
Lower step:
Step S501: if including face information in the comparison result, determine the client for frequent customer.
In a particular application, if including face information in the comparison result, illustrate that face database has had the visitor
The face information at family, then the client is the frequent customer of VIP client either once Lai Guo shops.
Step S502: if not including face information in the comparison result, determine that the client is new client, and create
New customer information；Wherein, the customer information includes face information and business information.
In a particular application, the customer information includes Customer ID.The face information is the face characteristic value, described
Business information is the consumer record of the client.
Step S503: the new customer information and the face picture are added in the face database, and establish institute
State the corresponding relationship of customer information Yu the face picture.
In a particular application, the new customer information and the face picture are added in the face database, and built
The corresponding relationship of the customer information Yu the face picture is found, to complete the face in-stockroom operation of new client.
In the present embodiment, according to the comparison result judge the client for new client or frequent customer, and generate sentence
Break as a result, the new customer information and the face picture are added to the face database when the client is new client
In, and the corresponding relationship of the customer information Yu the face picture is established, to complete the face in-stockroom operation of new client.
Embodiment five
As shown in fig. 6, a kind of shops's client management method based on recognition of face is present embodiments provided, it is described according to institute
Judging result and the first User Status are stated, is pushed to the first user terminal or second user terminal to shop information for described, specifically
Including the following steps successively executed:
Step S601: if the client is frequent customer, judge whether first User Status activates.
In a particular application, first user refers to the bottom-up employees such as salesman, can be multiple.The second user
Refer to the employee of the higher levels such as shopkeeper or manager, or multiple.First User Status includes having activated and unactivated state.
The state of activation is that first user is on-job state.The unactivated state indicates that first user is leaving office shape
State.First user terminal is the hand-held mobile terminal of first user, such as mobile phone, thereon equipped with for receiving push
The APP (Application, application program) of information.The second user terminal is the hand-held mobile terminal of the second user,
Thereon equipped with the APP (Application, application program) for receiving pushed information.Face application server is according to identification
Customer information inquires the information of corresponding salesman from shops's service server, because each frequent customer can be tied to specific shop
Member, each salesman can be responsible for receiving multiple clients；If it is new client to shop, then can preferentially be assigned to shopkeeper, then again shop
It is long that resource is added to common pool, then notify all employees to get to common pool.
Step S602: if first User Status has activated, judge whether first user is online.
In a particular application, face application server is sentenced according to the salesman's information inquired from shops's service server
It is disconnected, if salesman's information un-activation, then it represents that the salesman has left office, and client is directly pushed to shop to shop information by system
It is long；If salesman's state normal Activate, carries out next step judgement.
Step S603: if the first user is online, the first user terminal is pushed to shop information by described.
Step S604: if the first user is not online, second user terminal is pushed to shop information by described.
In a particular application, in salesman's state activation, if salesman online if indicate that the salesman normally goes to work,
On direct PUSH message to salesman's mobile phone；On the contrary then be considered as and do not go to work, system directly pushes messages to shopkeeper, then by shop
It is long to turn to task the salesman to go to work.
Step S605: if the first User Status un-activation, second user terminal is pushed to shop information by described.
Step S606: if the client is new client, second user terminal is pushed to shop information by described.
Step S607: when the client to shop information is pushed to the first user terminal, according to first user terminal
Application system, to determine the push channel of PUSH message.
Step S608: when the client to shop information is pushed to second user terminal, according to the second user terminal
Application system, to determine the push channel of PUSH message.
In a particular application, determine client is pushed to the salesman of shopkeeper or working to shop information after, need into
One step first judges to receive the logged in cell phone system of account of information, to determine the push channel of PUSH message.If it is Android system
Mobile phone of uniting logs in, then carries out message push using the MQTT frame of open source；It is logged in if it is apple system mobile phone, then uses apple
The included channel APNS carries out message push；After mobile phone shops APP receives message push, message initiated APP is clicked；APP is certainly
It is dynamic that shops's service server interface acquisition related data is called to be shown.
In the present embodiment, the client according to judging result is new client or frequent customer and the first user shape
State is pushed to described on the mobile terminal of suitable contact staff to shop information, improves experiencing into shop for client.
Embodiment six
The embodiment of the present application three provides a kind of shops's customer account management device based on recognition of face, for ease of description,
Part relevant to the application is only shown, as shown in figure 8, described device 700 includes:
Face picture module 701 is obtained, for obtaining the face picture of the client entered in video camera coverage；
Comparison module 702 obtains comparison result for the face picture to be compared with picture in face database；
First judgment module 703, for according to the comparison result judge the client for new client or frequent customer, and
Generate judging result；
Generation module 704 to shop information and is recorded for increasing a client newly in shops's service server；
Pushing module 705 is pushed to the to shop information for described for according to the judging result and the first User Status
One user terminal or second user terminal.
In one embodiment, the acquisition face picture module 701, specifically includes:
First acquisition unit, for obtaining at least picture of the client entered in video camera coverage；
Writing unit, for glue file to be written in an at least picture；
Second acquisition unit increases picture newly for obtaining in the glue file；
Detection unit, for detecting the quality of human face image in the newly-increased picture；
The newly-increased picture is considered as by the first testing result unit if being greater than first threshold for described image quality
Face picture；
Second testing result detection unit, if being less than or equal to first threshold for described image quality, being considered as can not
Identification face picture simultaneously directly deletes the newly-increased picture.
Specifically, the judgment module includes:
First execution unit obtains described in execution if the answer statement editing instruction for receiving active user's input
The step of answer sentence for taking active user to send.
Second execution unit, if the answer statement editing instruction for not receiving active user's input, described in execution
The step of obtaining the doubt statement that active user sends.
In one embodiment, the comparison module 702, specifically includes:
Comparing unit will be in the face picture and face database for calling the face searching interface of face recognition engine
Picture is compared；
Comparison result unit is obtained, for obtaining the institute for being greater than second threshold with the similarity of face in the face picture
There are the corresponding face information of picture and business information, as comparison result.
In one embodiment, first judgment module 703 specifically include:
First judging unit, if determining the client for frequent customer for including face information in the comparison result；
Second judging unit, if determining that the client is new visitor for not including face information in the comparison result
Family, and create new customer information；Wherein, the customer information includes face information and business information；
Adding unit for the new customer information and the face picture to be added in the face database, and is built
Found the corresponding relationship of the customer information Yu the face picture.
In one embodiment, pushing module 705 specifically include:
First judging unit judges whether first User Status activates if being frequent customer for the client；
Second judgment unit judges whether first user is online if having activated for first User Status；
If first push unit is pushed to the first user terminal to shop information for described online for the first user；
If second push unit is pushed to second user terminal to shop information for described not online for the first user；
Third push unit is pushed to the first user end to shop information for described if being new client for the client
End；
4th push unit is pushed to second to shop information for described if being used for the first User Status un-activation
User terminal；
First push channel unit, when for the client to shop information to be pushed to the first user terminal, according to described
The application system of first user terminal, to determine the push channel of PUSH message；
Second push channel unit, when for the client to shop information to be pushed to second user terminal, according to described
The application system of second user terminal, to determine the push channel of PUSH message.
It should be noted that the contents such as information exchange, implementation procedure between each module/unit of above-mentioned apparatus, due to
The application embodiment of the method is based on same design, concrete function and bring technical effect, and for details, reference can be made to embodiments of the method
Part, details are not described herein again.
Embodiment seven
Fig. 8 is the schematic diagram for the terminal device 8 that the embodiment of the present application four provides.As shown in figure 5, the terminal of the embodiment is set
Standby 8 include: processor 80, memory 81 and are stored in the meter that can be run in above-mentioned memory 81 and on above-mentioned processor 80
Calculation machine program 82.Above-mentioned processor 80 realizes the step in above-mentioned each embodiment of the method when executing above-mentioned computer program 82,
Such as step S101 to S105 shown in FIG. 1.Alternatively, above-mentioned processor 80 realized when executing above-mentioned computer program 82 it is above-mentioned each
The function of each module/unit in Installation practice, such as the function of module 501 to 504 shown in Fig. 5.
Above-mentioned terminal device 8 may include, but be not limited only to, processor 80, memory 81.Those skilled in the art can manage
Solution, Fig. 8 is only the example of terminal device 8, does not constitute the restriction to terminal device 8, may include more or more than illustrating
Few component perhaps combines certain components or different components, such as above-mentioned pet robot can also include input and output
Equipment, network access equipment, bus etc..
Alleged processor 80 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng.
Above-mentioned memory 81 can be the internal storage unit of above-mentioned terminal device 8, such as the hard disk or interior of terminal device 8
It deposits.Above-mentioned memory 81 is also possible to the External memory equipment of above-mentioned terminal device 8, such as be equipped on above-mentioned terminal device 8
Plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card dodge
Deposit card (Flash Card) etc..Further, above-mentioned memory 81 can also both include the storage inside list of above-mentioned terminal device 8
Member also includes External memory equipment.Above-mentioned memory 81 is for storing needed for above-mentioned computer program and above-mentioned pet robot
Other programs and data.Above-mentioned memory 81 can be also used for temporarily storing the data that has exported or will export.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of above-mentioned apparatus is divided into different functional unit or module, more than completing
The all or part of function of description.Each functional unit in embodiment, module can integrate in one processing unit, can also
To be that each unit physically exists alone, can also be integrated in one unit with two or more units, it is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.In addition, each function list
Member, the specific name of module are also only for convenience of distinguishing each other, the protection scope being not intended to limit this application.Above system
The specific work process of middle unit, module, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in detail or remembers in some embodiment
The part of load may refer to the associated description of other embodiments.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
Scope of the present application.
In embodiment provided herein, it should be understood that disclosed device/terminal device and method, it can be with
It realizes by another way.For example, device described above/terminal device embodiment is only schematical, for example, on
The division of module or unit is stated, only a kind of logical function partition, there may be another division manner in actual implementation, such as
Multiple units or components can be combined or can be integrated into another system, or some features can be ignored or not executed.Separately
A bit, shown or discussed mutual coupling or direct-coupling or communication connection can be through some interfaces, device
Or the INDIRECT COUPLING or communication connection of unit, it can be electrical property, mechanical or other forms.
Above-mentioned unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If above-mentioned integrated module/unit be realized in the form of SFU software functional unit and as independent product sale or
In use, can store in a computer readable storage medium.Based on this understanding, the application realizes above-mentioned implementation
All or part of the process in example method, can also instruct relevant hardware to complete, above-mentioned meter by computer program
Calculation machine program can be stored in a computer readable storage medium, the computer program when being executed by processor, it can be achieved that on
The step of stating each embodiment of the method application.Wherein, above-mentioned computer program includes computer program code, above-mentioned computer journey
Sequence code can be source code form, object identification code form, executable file or certain intermediate forms etc..It is above-mentioned computer-readable
Medium may include: any entity or device, recording medium, USB flash disk, mobile hard that can carry above-mentioned computer program code
Disk, magnetic disk, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory
(RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It needs to illustrate
It is that the content that above-mentioned computer-readable medium includes can be fitted according to the requirement made laws in jurisdiction with patent practice
When increase and decrease, such as in certain jurisdictions, according to legislation and patent practice, computer-readable medium does not include electric carrier wave letter
Number and telecommunication signal.
Above above-described embodiment is only to illustrate the technical solution of the application, rather than its limitations；Although referring to aforementioned reality
Example is applied the application is described in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope of each embodiment technical solution of the application that it does not separate the essence of the corresponding technical solution should all
Comprising within the scope of protection of this application.
Claims (10)
1. a kind of shops's client management method based on recognition of face, which is characterized in that the described method includes:
Obtain the face picture of the client entered in video camera coverage；
The face picture is compared with picture in face database, obtains comparison result；
Judge that the client for new client or frequent customer, and generates judging result according to the comparison result；
A client is increased newly in shops's service server to shop information and to record；
According to the judging result and the first User Status, the first user terminal or second user are pushed to shop information by described
Terminal.
2. shops's client management method based on recognition of face as described in claim 1, described obtain enters video camera shooting
The face picture of client in range, specifically includes:
Obtain at least picture of the client entered in video camera coverage；
Glue file is written into an at least picture；
It obtains and increases picture in the glue file newly；
Detect the quality of human face image in the newly-increased picture；
If described image quality is greater than or equal to first threshold, the newly-increased picture is considered as face picture；
If described image quality is less than first threshold, being considered as not can recognize face picture and directly deletes the newly-increased picture.
3. shops's client management method based on recognition of face as described in claim 1, which is characterized in that described by the people
Face picture is compared with picture in face database, obtains comparison result, specifically includes:
The face searching interface for calling face recognition engine, the face picture is compared with picture in face database；
Face corresponding more than or equal to all pictures of second threshold with the similarity of face in the face picture is obtained to believe
Breath and business information, as comparison result.
4. shops's client management method based on recognition of face as described in claim 1, which is characterized in that described according to
Comparison result judges that the client for new client or frequent customer, and generates judging result, specifically includes:
If including face information in the comparison result, determine the client for frequent customer；
If not including face information in the comparison result, determine that the client is new client, and create new customer information；
Wherein, the customer information includes face information and business information；
The new customer information and the face picture are added in the face database, and establish the customer information and institute
State the corresponding relationship of face picture.
5. shops's client management method based on recognition of face as described in claim 1, which is characterized in that described according to
Judging result and the first User Status are pushed to the first user terminal or second user terminal to shop information for described, specific to wrap
It includes:
If the client is frequent customer, judge whether first User Status activates；
If first User Status has activated, judge whether first user is online；
If the first user is online, the first user terminal is pushed to shop information by described；
If the first user is not online, second user terminal is pushed to shop information by described；
If the first User Status un-activation is pushed to second user terminal to shop information for described；
If the client is new client, second user terminal is pushed to shop information by described；
When the client to shop information is pushed to the first user terminal, according to the application system of first user terminal, come
Determine the push channel of PUSH message；
When the client to shop information is pushed to second user terminal, according to the application system of the second user terminal, come
Determine the push channel of PUSH message.
6. a kind of shops's customer account management device based on recognition of face, which is characterized in that described device includes:
Face picture module is obtained, for obtaining the face picture of the client entered in video camera coverage；
Comparison module obtains comparison result for the face picture to be compared with picture in face database；
First judgment module, for according to the comparison result judge client for new client or frequent customer, and generation sentence
Disconnected result；
Generation module to shop information and is recorded for increasing a client newly in shops's service server；
Pushing module, for being pushed to the first user to shop information for described according to the judging result and the first User Status
Terminal or second user terminal.
7. shops's customer account management device based on recognition of face as claimed in claim 6, which is characterized in that the acquisition face
Picture module specifically includes:
First acquisition unit, for obtaining at least picture of the client entered in video camera coverage；
Writing unit, for glue file to be written in an at least picture；
Second acquisition unit increases picture newly for obtaining in the glue file；
Detection unit, for detecting the quality of human face image in the newly-increased picture；
First testing result unit regards the newly-increased picture if being greater than or equal to first threshold for described image quality
For face picture；
Second testing result detection unit is considered as if being less than first threshold for described image quality and not can recognize face figure
Piece simultaneously directly deletes the newly-increased picture.
8. shops's customer account management device based on recognition of face as claimed in claim 6, which is characterized in that the comparison mould
Block specifically includes:
Comparing unit, for calling the face searching interface of face recognition engine, by picture in the face picture and face database
It is compared；
Comparison result unit is obtained, is greater than or equal to second threshold with the similarity of face in the face picture for obtaining
The corresponding face information of all pictures and business information, as comparison result.
9. a kind of terminal device, including memory, processor and storage are in the memory and can be on the processor
The computer program of operation, which is characterized in that the processor realizes such as claim 1 to 5 when executing the computer program
The step of any one the method.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In when the computer program is executed by processor the step of any one of such as claim 1 to 5 of realization the method.
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| CN201810879520.2A CN109214290A (en) | 2018-08-03 | 2018-08-03 | A kind of shops's client management method and device based on recognition of face |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810879520.2A CN109214290A (en) | 2018-08-03 | 2018-08-03 | A kind of shops's client management method and device based on recognition of face |
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| CN109214290A true CN109214290A (en) | 2019-01-15 |
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| CN201810879520.2A Pending CN109214290A (en) | 2018-08-03 | 2018-08-03 | A kind of shops's client management method and device based on recognition of face |
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| CN109886739A (en) * | 2019-01-31 | 2019-06-14 | 傲宝珠宝文化发展(深圳)有限公司 | Based on jewelry shops shopping guide's management method, system and its storage medium |
| CN110032655A (en) * | 2019-04-16 | 2019-07-19 | 杭州潜能科技有限公司 | A method of establishing face database automatically |
| CN110276648A (en) * | 2019-06-28 | 2019-09-24 | 中国工商银行股份有限公司 | Client's identification and based reminding method and device |
| CN110309716A (en) * | 2019-05-22 | 2019-10-08 | 深圳壹账通智能科技有限公司 | Service tracks method, apparatus, equipment and storage medium based on face and posture |
| CN110659575A (en) * | 2019-08-22 | 2020-01-07 | 中国平安财产保险股份有限公司 | Online customer service method and device, computer device and storage medium |
| CN110765958A (en) * | 2019-10-29 | 2020-02-07 | 成都旺小宝科技有限公司 | Channel risk control method, device and system based on face recognition |
| CN111046360A (en) * | 2019-11-14 | 2020-04-21 | 秒针信息技术有限公司 | Customer information management method and system based on face recognition |
| CN111160765A (en) * | 2019-12-27 | 2020-05-15 | 北京市商汤科技开发有限公司 | Resource allocation method, device and storage medium |
| CN111178966A (en) * | 2019-12-30 | 2020-05-19 | 武汉零客思唯科技有限公司 | Latent customer behavior analysis method and system based on face recognition |
| CN111260400A (en) * | 2020-01-16 | 2020-06-09 | 广东超悦科技有限公司 | Member identification method and passenger flow analysis method |
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| CN111950364A (en) * | 2020-07-07 | 2020-11-17 | 北京思特奇信息技术股份有限公司 | System and method for identifying face of tens of millions of base libraries in different libraries |
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| CN112380437A (en) * | 2020-11-17 | 2021-02-19 | 上海明略人工智能(集团)有限公司 | Method and system for obtaining customer preference information based on feature recognition |
| CN113222638A (en) * | 2021-02-26 | 2021-08-06 | 深圳前海微众银行股份有限公司 | Architecture method, device, equipment, medium and program product of store visitor information |
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| CN109886739A (en) * | 2019-01-31 | 2019-06-14 | 傲宝珠宝文化发展(深圳)有限公司 | Based on jewelry shops shopping guide's management method, system and its storage medium |
| CN110032655A (en) * | 2019-04-16 | 2019-07-19 | 杭州潜能科技有限公司 | A method of establishing face database automatically |
| CN110309716A (en) * | 2019-05-22 | 2019-10-08 | 深圳壹账通智能科技有限公司 | Service tracks method, apparatus, equipment and storage medium based on face and posture |
| CN110276648A (en) * | 2019-06-28 | 2019-09-24 | 中国工商银行股份有限公司 | Client's identification and based reminding method and device |
| CN110659575A (en) * | 2019-08-22 | 2020-01-07 | 中国平安财产保险股份有限公司 | Online customer service method and device, computer device and storage medium |
| CN110765958A (en) * | 2019-10-29 | 2020-02-07 | 成都旺小宝科技有限公司 | Channel risk control method, device and system based on face recognition |
| CN111046360A (en) * | 2019-11-14 | 2020-04-21 | 秒针信息技术有限公司 | Customer information management method and system based on face recognition |
| CN111160765A (en) * | 2019-12-27 | 2020-05-15 | 北京市商汤科技开发有限公司 | Resource allocation method, device and storage medium |
| CN111178966A (en) * | 2019-12-30 | 2020-05-19 | 武汉零客思唯科技有限公司 | Latent customer behavior analysis method and system based on face recognition |
| CN111260400A (en) * | 2020-01-16 | 2020-06-09 | 广东超悦科技有限公司 | Member identification method and passenger flow analysis method |
| CN111311266A (en) * | 2020-02-14 | 2020-06-19 | 北京三快在线科技有限公司 | Account operation method and device and electronic equipment |
| CN111476613A (en) * | 2020-05-09 | 2020-07-31 | 苏州中仑网络科技有限公司 | Shopping guide auxiliary method and device based on passenger flow analysis, server and storage medium |
| CN111523512A (en) * | 2020-05-09 | 2020-08-11 | 苏州中仑网络科技有限公司 | Shop security method and device based on passenger flow analysis, server and storage medium |
| CN111950364A (en) * | 2020-07-07 | 2020-11-17 | 北京思特奇信息技术股份有限公司 | System and method for identifying face of tens of millions of base libraries in different libraries |
| CN111950364B (en) * | 2020-07-07 | 2024-03-22 | 北京思特奇信息技术股份有限公司 | System and method for identifying library-separating face of tens of millions of libraries |
| CN112200630A (en) * | 2020-10-12 | 2021-01-08 | 绿瘦健康产业集团有限公司 | User distribution processing method, device, medium and terminal equipment |
| CN112380437A (en) * | 2020-11-17 | 2021-02-19 | 上海明略人工智能(集团)有限公司 | Method and system for obtaining customer preference information based on feature recognition |
| CN114627594A (en) * | 2020-12-10 | 2022-06-14 | 中国联合网络通信集团有限公司 | Information security guarantee method and related device of self-service terminal |
| CN113222638A (en) * | 2021-02-26 | 2021-08-06 | 深圳前海微众银行股份有限公司 | Architecture method, device, equipment, medium and program product of store visitor information |
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