CN110334570A - The automatic banking process of recognition of face, device, equipment and storage medium - Google Patents
The automatic banking process of recognition of face, device, equipment and storage medium Download PDFInfo
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- CN110334570A CN110334570A CN201910253948.0A CN201910253948A CN110334570A CN 110334570 A CN110334570 A CN 110334570A CN 201910253948 A CN201910253948 A CN 201910253948A CN 110334570 A CN110334570 A CN 110334570A
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- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
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- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
- G06V40/173—Classification, e.g. identification face re-identification, e.g. recognising unknown faces across different face tracks
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Abstract
The present invention relates to the technical fields of image recognition, and more particularly, to a kind of automatic banking process of recognition of face, device, equipment and storage medium, the automatic banking process of recognition of face includes: the facial image obtained into shop personnel；User identifier is obtained according to facial image, and obtains corresponding user data from database according to user identifier；If obtaining according to facial image less than user identifier, determine to be to enter shop customer for the first time, and user data table is established according to the facial image for entering shop customer for the first time automatically in the database into shop personnel；User data table is marked using the characteristic value for the facial image for entering shop customer for the first time, and facial image and corresponding characteristic value are stored to user data table；It will be written in corresponding user data table into the consumer behavior information of shop personnel, obtain user data.The present invention has according to face recognition result to provide corresponding service into shop personnel, promotes the effect to the efficiency of Customer management.
Description
Technical field
The present invention relates to the technical field of image recognition, more particularly, to a kind of automatic banking process of recognition of face, device,
Equipment and storage medium.
Background technique
Currently, the management for customer and staff in shop, the personnel that usually arrange work in shop are to shop
Interior customer services, wherein can provide corresponding member's rank for customer to promote the consumption experience of customer.And these
Member's rank is stored in database of the shop perhaps in market but the work when customer enters shop or market, in shop
Making personnel can only can know whether customer is member or the customer by inquiry customer or when customer settles accounts
Membership grade, so as to cause the inefficient of the management to customer, therefore there are rooms for improvement.
Recognition of face is the image containing face to be shot by photographic device, and identify in image by edge collecting technology
The face image of human body, and after carrying out gray proces and binaryzation to the face image, extract the face image.
Summary of the invention
The object of the present invention is to provide a kind of to be identified into shop personnel using face recognition technology, and according to recognition result be into
Shop personnel provide corresponding service, are promoted to the automatic banking process of the recognition of face of the efficiency of Customer management, device, equipment and are deposited
Storage media.
Foregoing invention purpose one of the invention has the technical scheme that
A kind of automatic banking process of recognition of face, the automatic banking process of recognition of face include:
S10: the facial image into shop personnel is obtained；
S20: user identifier is obtained according to the facial image, and corresponding use is obtained from database according to the user identifier
User data；
S30: if being obtained according to the facial image less than the user identifier, judgement is described to be cared for into shop personnel to enter shop for the first time
Visitor, and user data table is established according to the facial image for entering shop customer for the first time automatically in the database；
S40: being marked the user data table using the characteristic value of the facial image, and by the facial image with
And the corresponding characteristic value is stored to the user data table；
S50: the consumer behavior information into shop personnel is written in the corresponding user data table, the user is obtained
Data.
By using above-mentioned technical proposal, in customer into behind shop, face knowledge is carried out to customer by the photographic device in shop
It not, has been for the customer of registered member and in the database that the customer establishes solely to obtain facial image
Vertical user data can identify user identifier according to the facial image, can obtain user data according to the mark, make work
Personnel can know the case where member of customer in time；If obtaining by recognition of face less than user identifier, this can be determined that
Customer is to first enter the shop, for first entering the customer in the shop, establishes user data table automatically for the customer, and
User identifier is set according to the facial image of the customer, and newly-built user data table is marked by the user identifier
Note, consumer behavior of the customer in shop can be written in the user data table, be provided in time pair convenient for staff
The service answered, to improve the efficiency to Customer management by recognition of face.
The present invention is further arranged to: the step S10 includes:
S11: according to shop address information, unique identification is set for shop photographic device inside, wherein the shop photographic device inside is at least
It is 1；
S12: the facial image into shop personnel is obtained by the shop photographic device inside.
By using above-mentioned technical proposal, multiple photographic devices are set in shop, can preferably obtain user in shop
Consumer behavior, improve the richness of user data.
The present invention is further arranged to: the step S20 includes:
S21: being user identifier setting identification score according to the user data；
S22: the characteristic value of the facial image is obtained by face recognition algorithms, and the user is obtained according to the characteristic value
Mark；
S23: scoring to the characteristic value, and the scoring is compared with the identification score, if the face figure
The identification score of the user identifier is not achieved in the scoring of the characteristic value of picture, then reacquires the facial image automatically.
By using above-mentioned technical proposal, identification score is arranged according to user identifier, can be set according to the membership grade of customer
The identification score is set, the precision of customer's identification for high-level member is can be improved, ensure that the accuracy of identification, avoid missing
Knowledge causes to provide and the unmatched service of customer's membership grade.
The present invention is further arranged to: the step S30 includes:
S31: if being obtained according to the facial image less than the user identifier, according to automatic newly-built institute in the database
State user data table；
S32: being described into the shop personnel setting user identifier according to the characteristic value of the recognition of face image, and described in use
User identifier is that the user data table is marked.
By using above-mentioned technical proposal, user data table, Neng Gou can be established automatically for the customer for the first time into shop
The user data table records the consumer behavior in customer shop.
The present invention is further arranged to: after the step S50, the automatic banking process of recognition of face further include:
S51: the facial image that will acquire is updated in the corresponding user data according to the user identifier, and is remembered
Record current storage time；
S52: it is ranked up according to the storage time for the facial image in the user data；
S53: if the quantity of the facial image in the user data is more than preset threshold value, by the storage time
The earliest facial image is deleted from the user data.
By using above-mentioned technical proposal, since the complexion of face can be produced according to time passage or the change of individual aesthetic
Life gradually changes, and after the facial image for getting customer every time, the face picture being added at first is deleted and is guaranteeing data
While the memory headroom of library, it is also able to ascend the precision of identification.
Foregoing invention purpose two of the invention has the technical scheme that
Library device is built in a kind of recognition of face automatically, and the recognition of face builds library device automatically and includes:
Image collection module, for obtaining the facial image into shop personnel；
Data acquisition module, for obtaining user identifier according to the facial image, and according to the user identifier from database
It is middle to obtain corresponding user data；
Table establishes module automatically, if for being obtained according to the facial image less than the user identifier, determine it is described into
Shop personnel are to enter shop customer for the first time, and build automatically in the database according to the facial image for entering shop customer for the first time
Vertical user data table；
Memory module, for using the characteristic value of the facial image for entering shop customer for the first time to the user data table
It is marked, and the facial image and the corresponding characteristic value is stored to the user data table；
Data update module, for the corresponding user data table to be written in the consumer behavior information into shop personnel
It is interior, obtain the user data.
By using above-mentioned technical proposal, in customer into behind shop, face knowledge is carried out to customer by the photographic device in shop
It not, has been for the customer of registered member and in the database that the customer establishes solely to obtain facial image
Vertical user data can identify user identifier according to the facial image, can obtain user data according to the mark, make work
Personnel can know the case where member of customer in time；If obtaining by recognition of face less than user identifier, this can be determined that
Customer is to first enter the shop, for first entering the customer in the shop, establishes user data table automatically for the customer, and
User identifier is set according to the facial image of the customer, and newly-built user data table is marked by the user identifier
Note, consumer behavior of the customer in shop can be written in the user data table, be provided in time pair convenient for staff
The service answered, to improve the efficiency to Customer management by recognition of face.
Foregoing invention purpose three of the invention has the technical scheme that
A kind of computer equipment, including memory, processor and storage are in the memory and can be on the processor
The computer program of operation, the processor realize above-mentioned recognition of face automatic banking process when executing the computer program
Step.
Foregoing invention purpose four of the invention has the technical scheme that
A kind of computer readable storage medium, the computer-readable recording medium storage have computer program, the computer
The step of above-mentioned recognition of face automatic banking process is realized when program is executed by processor.
In conclusion advantageous effects of the invention are as follows:
1. recognition of face is carried out to customer by the photographic device in shop into behind shop in customer, so that facial image is obtained, for
The customer of registered member and be in the database that the customer establishes independent user data, can be according to the face
Image recognition goes out user identifier, can obtain user data according to the mark, staff is enable to know the meeting of customer in time
The case where member；
2. if can be determined that the customer is to first enter the shop, for head obtain by recognition of face less than user identifier
The secondary customer into the shop establishes user data table for the customer automatically, and is arranged according to the facial image of the customer and is used
Family mark, and newly-built user data table is marked by the user identifier, it can be by the customer disappearing in shop
Expense behavior is written in the user data table, provides corresponding service in time convenient for staff, to be mentioned by recognition of face
The efficiency to Customer management is risen.
Detailed description of the invention
Fig. 1 is a flow chart of the automatic banking process of recognition of face in one embodiment of the invention；
Fig. 2 is the implementation flow chart of step S10 in the automatic banking process of recognition of face in one embodiment of the invention；
Fig. 3 is the implementation flow chart of step S20 in the automatic banking process of recognition of face in one embodiment of the invention；
Fig. 4 is the implementation flow chart of step S30 in the automatic banking process of recognition of face in one embodiment of the invention；
Fig. 5 is another implementation flow chart in one embodiment of the invention in the automatic banking process of recognition of face；
Fig. 6 is the functional block diagram that library device is built in recognition of face automatically in one embodiment of the invention；
Fig. 7 is a schematic diagram of computer equipment in one embodiment of the invention.
Specific embodiment
Below in conjunction with attached drawing, invention is further described in detail.
Embodiment one:
In one embodiment, as shown in Figure 1, being specifically included as follows the invention discloses a kind of automatic banking process of recognition of face
Step:
S10: the facial image into shop personnel is obtained.
In the present embodiment, refer to the personnel into shop or market into shop personnel, including in customer and shop
Staff.
Specifically, photographic device is installed in shop or market, the photographic device is enable to take into shop personnel's
Face area.The facial image into shop personnel is shot and obtained by the photographic device.
S20: user identifier is obtained according to facial image, and obtains corresponding number of users from database according to user identifier
According to.
In the present embodiment, user identifier refers to the unique identification for distinguishing each user, wherein can be user's
Identity information, or the user id automatically generated by server.User data refers to that storage record has consumer record, the meeting of customer
Member's grade or the data set for information such as the attendance records of staff.Database is for storing shop or market user
Data, wherein the database is PostgreSQL database, can be used alone for some shop, or is all in some market
Shops is shared to be used.
Specifically, for registering with the customer in shop or market member or in staff's registration, in registration
Automatically generate the data set that can be used for storing the user data.It is shot in the staff of customer or registration to registered members
Human face photo for being compared, and corresponding characteristic value is extracted by existing face identification method, according to this feature value
Automatically generate label of unique user identifier as the data set, and by the body of the user identifier and customer or staff
Part information binding association.
Further, pass through the facial image got into behind shop in the customer of registered members or staff, obtain
To after characteristic value, corresponding user identifier is obtained, and corresponding user data is got by the user identifier.It can be by the user
Data are sent in the mobile terminal of the staff in shop, and the staff in shop is made to know the member of customer's StoreFront.
S30: if being obtained according to facial image less than user identifier, determine into shop personnel to be to enter shop customer, and root for the first time
User data table is established automatically in the database according to the facial image for entering shop customer for the first time.
In the present embodiment, user data table refers to the use of the data of the customer for first entering shop or market
User data table.
Specifically, if being obtained according to the facial image that gets less than user identifier, headed by determining the customer into shop
It is secondary enter shop customer.It is then that customer establishes user data table automatically according to the corresponding characteristic value of the facial image got.
Preferably, after establishing user data table, the mobile terminal of from the staff to shop sends corresponding
Message is that staff knows that the customer into shop is for the first time into shop.
S40: being marked user data table using the characteristic value for the facial image for entering shop customer for the first time, and by face
Image and corresponding characteristic value are stored to user data table.
Specifically, according to the characteristic value for the facial image for entering shop customer for the first time, the mode of step S20 is used to enter for the first time for this
User identifier is arranged in shop customer, and the use of the user identifier is that the user data table is marked.Further, by the face
Image and corresponding characteristic value are stored to the user data table, are convenient for subsequent identification.
Preferably, it if this enters shop after entering shop customer departure for the first time again, can be learnt by identifying the facial image of the customer
The customer is the customer accessed again.
S50: it will be written in corresponding user data table into shop personnel consumer behavior information, obtain user data.
In the present embodiment, consumer behavior information is behavioural information of the fingering shop personnel in shop or market.Wherein
Purchaser record and browsing record including customer.
Specifically, the consumer behavior information of customer is written in corresponding user data table, is obtained into behind shop in customer
User data.
Preferably for staff, work people can be added in identification record by identifying the identity of the staff
In the attendance record of member.
In the present embodiment, recognition of face is carried out to customer by the photographic device in shop into behind shop in customer, thus
It has been for the customer of registered member and in the database that the customer establishes independent number of users to facial image
According to, can identify user identifier according to the facial image, can according to the mark obtain user data, enable staff and
The case where member of customer Shi Zhidao；If obtaining by recognition of face less than user identifier, it can be determined that the customer is for the first time
Into the shop, for first entering the customer in the shop, user data table is established automatically for the customer, and according to the customer
Facial image user identifier is set, and newly-built user data table is marked by the user identifier, can should
Consumer behavior of the customer in shop is written in the user data table, provides corresponding service in time convenient for staff, from
And the efficiency to Customer management is improved by recognition of face.
In one embodiment, as shown in Fig. 2, in step slo, that is, obtaining the facial image into shop personnel, specifically including
Following steps:
S11: according to shop address information, unique identification is set for shop photographic device inside, wherein shop photographic device inside is at least 1
It is a.
Specifically, 1 photographic device is arranged in the doorway in shop, and is shop photographic device inside according to shop address information
Unique identification is set, binds the facial image got by photographic device with the shop or market.
Preferably, richer and more acurrate in the data of StoreFront internal staff's behavior in order to make to get, it can be in shop
Doorway, 1-2 photographic device is respectively set in cashier and shop, make the data in database in addition to including into shop personnel
Data, can also by be set in shop and in the photographic device acquisition shop of cashier personnel behavior, such as by obtaining
The region for taking customer to walk and stop in shop analyzes the region that customer compares aggregation in shop, thus according to the region
The commercial analysis of ornaments goes out more interested type of merchandise of customer etc..
S12: the facial image into shop personnel is obtained by shop photographic device inside.
Specifically, it is shot by shop photographic device inside into shop personnel, to obtain the facial image into shop personnel.
Further, as shown in figure 3, in step S20, i.e., user identifier is obtained according to facial image, and according to user
Mark obtains corresponding user data from database, specifically comprises the following steps:
S21: being user identifier setting identification score according to user data.
In the present embodiment, identification score refers to for the accuracy to recognition of face to different user settings.
Specifically, it is staff for user identifier, due to being related to system of attendance, the identification point can be set
Number 85%；It is each section for user identifier, for customer member of different stage, the identification point that can be arranged according to the grade of member
Number, such as 80%, 75%, 70% etc..
S22: the characteristic value of facial image is obtained by face recognition algorithms, and user identifier is obtained according to characteristic value.
Specifically, after carrying out gray proces, binaryzation to facial image by face recognition algorithms, facial image is extracted
Characteristic value.Further, specific user identifier is got according to this feature value.
S23: scoring to characteristic value, and scoring is compared with identification score, if the characteristic value of facial image
The identification score of user identifier is not achieved in scoring, then reacquires facial image automatically.
Specifically, after the corresponding characteristic value of the facial image for the personnel of entering is identified in step S22, according to this feature value
Matching inquiry goes out the user identifier of the personnel that enter, and identification point corresponding with the user identifier is obtained from the user identifier
Number.Since the identification score is one of accuracy scoring for embodying recognition of face, then identification essence that can first to this feature value
Degree scores, and compares by the scoring and identification score memory, automatic to reacquire people if the scoring is lower than identification score
Face image.
Intelligible, which is to further ensure that the result of identification is corresponding with true individual.Pass through
Recognition of face identifies that the personnel of entering are the customer of 80% corresponding member's rank, but identifies that score is only 76%, in order to guarantee to know
Other authenticity then needs to carry out recognition of face to the personnel that enter again, until identification score reaches 80% or more.
In one embodiment, as shown in figure 4, in step s 30, even being obtained according to facial image less than user identifier,
Then determine to be to enter shop customer for the first time, and establish and use automatically in the database according to the facial image for entering shop customer for the first time into shop personnel
User data table, specifically comprises the following steps:
S31: if being obtained according to facial image less than user identifier, according to automatic newly-built user data table in the database.
Specifically, if obtaining according to facial image less than user identifier, illustrate that this for for the first time into shop, then exists into shop personnel
Automatically user data table is established in database, for storing this for the first time into the data into shop personnel in shop.
S32: being user identifier to be arranged into shop personnel, and using user identifier is to use according to the characteristic value of recognition of face image
User data table is marked.
Specifically, by the method in step S22, this is obtained for the first time into the characteristic value into shop personnel in shop, and for should be into
Shop personnel generate unique subscriber identification, and the user identifier and the user data table are marked.
Preferably, the user data table can record this for the first time into shop customer visiting time and residence time most
Long shelf area.If recognizing the customer again into shop, staff can or phase similar for the customer recommendation shelf area
The product of pass.
In one embodiment, as shown in figure 5, after step S50, the automatic banking process of recognition of face further include:
S51: the facial image that will acquire is updated in corresponding user data according to user identifier, and records current storage
Time.
In the present embodiment, when storage time refers to that every facial image is stored into corresponding user data, specifically
Time.
Specifically, when every time updating storage facial image to corresponding user data according to user identifier, record is worked as
The preceding time makees label as the storage time, and with the storage time and the facial image.It should be noted that the update is such as
The facial image of user data is the facial image for reaching corresponding identification score.
S52: it is ranked up according to storage time for the facial image in user data.
It specifically, is number of users according to the storage time since first time stores facial image into user data
Facial image in is ranked up.
S53: if the quantity of the facial image in user data is more than preset threshold value, by the earliest people of storage time
Face image is deleted from user data.
Specifically, if in user data, the quantity of the facial image of storage is more than 10, then that storage time is earliest
Facial image is deleted from user data.
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 invention constitutes any limit
It is fixed.
Embodiment two:
In one embodiment, a kind of recognition of face is provided and builds library device automatically, which builds library device and above-mentioned reality automatically
The automatic banking process of recognition of face in example is applied to correspond.As shown in fig. 6, it includes that image obtains that library device is built in the recognition of face automatically
Modulus block 10, data acquisition module 20, table establish module 30, memory module 40 and data update module 50 automatically.Each function
Detailed description are as follows for module:
Image collection module 10, for obtaining the facial image into shop personnel；
Data acquisition module 20, for obtaining user identifier according to the facial image, and according to the user identifier from data
Corresponding user data is obtained in library；
Table establishes module 30 automatically, if described in being used to be determined according to facial image acquisition less than the user identifier
Into shop personnel to enter shop customer for the first time, and it is automatic in the database according to the facial image for entering shop customer for the first time
Establish user data table；
Memory module 40, for using the characteristic value of the facial image for entering shop customer for the first time to the user data table
Lattice are marked, and the facial image and the corresponding characteristic value are stored to the user data table；
Data update module 50, for the corresponding user data table to be written in the consumer behavior information into shop personnel
It is interior, obtain the user data.
Preferably, image collection module 10 includes:
Mark setting submodule 11, for unique identification to be arranged for shop photographic device inside according to shop address information, wherein described
Shop photographic device inside is at least 1；
Image acquisition submodule 12, for obtaining the facial image into shop personnel by the shop photographic device inside.
Preferably, data acquisition module 20 includes:
Submodule 21 is arranged in score, for being user identifier setting identification score according to the user data；
Mark generates submodule 22, for obtaining the characteristic value of the facial image by face recognition algorithms, and according to described
Characteristic value obtains the user identifier；
Data acquisition submodule 23 is carried out for scoring the characteristic value, and by the scoring with the identification score
It compares, if the identification score of the user identifier is not achieved in the scoring of the characteristic value of the facial image, automatically again
Obtain the facial image.
Preferably, table establishes module 30 automatically and includes:
The automatic setting up submodule 31 of table, if basis exists for being obtained according to the facial image less than the user identifier
Automatically the user data table is created in the database；
Submodule 32 is marked, for being described into shop personnel setting user's mark according to the characteristic value of the recognition of face image
Know, and the use of the user identifier is that the user data table is marked.
Preferably, library device is built in recognition of face automatically further include:
Time recording module 51, the facial image for will acquire are updated to corresponding described according to the user identifier
In user data, and record current storage time；
Sorting module 52, for being that the facial image in the user data is ranked up according to the storage time；
Data iteration module 53, if the quantity for the facial image in the user data is more than preset threshold value,
Then the earliest facial image of the storage time is deleted from the user data.
The specific restriction for building library device automatically about recognition of face may refer to build library automatically above for recognition of face
The restriction of method, details are not described herein.The modules in the device of library are built in above-mentioned recognition of face automatically can be fully or partially through
Software, hardware and combinations thereof are realized.Above-mentioned each module can be embedded in the form of hardware or independently of the place in computer equipment
It manages in device, can also be stored in a software form in the memory in computer equipment, in order to which processor calls execution or more
The corresponding operation of modules.
Embodiment three:
In one embodiment, a kind of computer equipment is provided, which can be server, internal structure chart
It can be as shown in Figure 7.The computer equipment includes processor, memory, network interface and the data connected by system bus
Library.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory of the computer equipment includes non-
Volatile storage medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and database.
The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The computer is set
Standby database is used for user data and consumer behavior information.The network interface of the computer equipment is used for logical with external terminal
Cross network connection communication.To realize a kind of automatic banking process of recognition of face when the computer program is executed by processor.
In one embodiment, a kind of computer equipment is provided, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, processor perform the steps of when executing computer program
S10: the facial image into shop personnel is obtained；
S20: user identifier is obtained according to the facial image, and corresponding use is obtained from database according to the user identifier
User data；
S30: if being obtained according to the facial image less than the user identifier, judgement is described to be cared for into shop personnel to enter shop for the first time
Visitor, and user data table is established according to the facial image for entering shop customer for the first time automatically in the database；
S40: being marked the user data table using the characteristic value of the facial image for entering shop customer for the first time,
And the facial image and the corresponding characteristic value are stored to the user data table；
S50: the consumer behavior information into shop personnel is written in the corresponding user data table, the user is obtained
Data.
Example IV:
In one embodiment, a kind of computer readable storage medium is provided, computer program, computer journey are stored thereon with
It is performed the steps of when sequence is executed by processor
S10: the facial image into shop personnel is obtained；
S20: user identifier is obtained according to the facial image, and corresponding use is obtained from database according to the user identifier
User data；
S30: if being obtained according to the facial image less than the user identifier, judgement is described to be cared for into shop personnel to enter shop for the first time
Visitor, and user data table is established according to the facial image for entering shop customer for the first time automatically in the database；
S40: being marked the user data table using the characteristic value of the facial image for entering shop customer for the first time,
And the facial image and the corresponding characteristic value are stored to the user data table；
S50: the consumer behavior information into shop personnel is written in the corresponding user data table, the user is obtained
Data.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM(EPROM), electrically erasable ROM(EEPROM) or flash memory.Volatile memory may include
Random-access memory (ram) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM(SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM(ESDRAM), synchronization link (Synchlink) DRAM(SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
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 described device is divided into different functional unit or module, more than completing
The all or part of function of description.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained 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 for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of automatic banking process of recognition of face, which is characterized in that the automatic banking process of recognition of face includes:
S10: the facial image into shop personnel is obtained；
S20: user identifier is obtained according to the facial image, and corresponding use is obtained from database according to the user identifier
User data；
S30: if being obtained according to the facial image less than the user identifier, judgement is described to be cared for into shop personnel to enter shop for the first time
Visitor, and user data table is established according to the facial image for entering shop customer for the first time automatically in the database；
S40: being marked the user data table using the characteristic value of the facial image for entering shop customer for the first time,
And the facial image and the corresponding characteristic value are stored to the user data table；
S50: the consumer behavior information into shop personnel is written in the corresponding user data table, the user is obtained
Data.
2. the automatic banking process of recognition of face as described in claim 1, which is characterized in that the step S10 includes:
S11: according to shop address information, unique identification is set for shop photographic device inside, wherein the shop photographic device inside is at least
It is 1；
S12: the facial image into shop personnel is obtained by the shop photographic device inside.
3. the automatic banking process of recognition of face as described in claim 1, which is characterized in that the step S20 includes:
S21: being user identifier setting identification score according to the user data；
S22: the characteristic value of the facial image is obtained by face recognition algorithms, and the user is obtained according to the characteristic value
Mark；
S23: scoring to the characteristic value, and the scoring is compared with the identification score, if the face figure
The identification score of the user identifier is not achieved in the scoring of the characteristic value of picture, then reacquires the facial image automatically.
4. the automatic banking process of recognition of face as described in claim 1, which is characterized in that the step S30 includes:
S31: if being obtained according to the facial image less than the user identifier, according to automatic newly-built institute in the database
State user data table；
S32: being described into the shop personnel setting user identifier according to the characteristic value of the recognition of face image, and described in use
User identifier is that the user data table is marked.
5. the automatic banking process of recognition of face as described in claim 1, which is characterized in that described after the step S50
The automatic banking process of recognition of face further include:
S51: the facial image that will acquire is updated in the corresponding user data according to the user identifier, and is remembered
Record current storage time；
S52: it is ranked up according to the storage time for the facial image in the user data；
S53: if the quantity of the facial image in the user data is more than preset threshold value, by the storage time
The earliest facial image is deleted from the user data.
6. library device is built in a kind of recognition of face automatically, which is characterized in that the recognition of face builds library device automatically and includes:
Image collection module, for obtaining the facial image into shop personnel；
Data acquisition module, for obtaining user identifier according to the facial image, and according to the user identifier from database
It is middle to obtain corresponding user data；
Table establishes module automatically, if for being obtained according to the facial image less than the user identifier, determine it is described into
Shop personnel are to enter shop customer for the first time, and build automatically in the database according to the facial image for entering shop customer for the first time
Vertical user data table；
Memory module, for using the characteristic value of the facial image for entering shop customer for the first time to the user data table
It is marked, and the facial image and the corresponding characteristic value is stored to the user data table；
Data update module, for the corresponding user data table to be written in the consumer behavior information into shop personnel
It is interior, obtain the user data.
7. library device is built in recognition of face as claimed in claim 6 automatically, which is characterized in that described image obtains module and includes:
Mark setting submodule, for unique identification being arranged for shop photographic device inside, wherein the shop according to shop address information
Photographic device inside is at least 1；
Image acquisition submodule, for obtaining the facial image into shop personnel by the shop photographic device inside.
8. library device is built in recognition of face as claimed in claim 6 automatically, which is characterized in that the data acquisition module includes:
Submodule is arranged in score, for being user identifier setting identification score according to the user data；
Mark generates submodule, for obtaining the characteristic value of the facial image by face recognition algorithms, and according to the spy
Value indicative obtains the user identifier；
Data acquisition submodule compares for scoring the characteristic value, and by the scoring with the identification score
It is right, if the identification score of the user identifier is not achieved in the scoring of the characteristic value of the facial image, obtain again automatically
Take the facial image.
9. a kind of computer equipment, including memory, processor and storage are in the memory and can be in the processor
The computer program of upper operation, which is characterized in that the processor realized when executing the computer program as claim 1 to
The step of any one of 5 recognitions of face automatic banking process.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In library side is built in realization recognition of face as described in any one of claim 1 to 5 automatically when the computer program is executed by processor
The step of method.
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