CN110188226A - A kind of customer portrait generation method and device based on recognition of face - Google Patents
A kind of customer portrait generation method and device based on recognition of face Download PDFInfo
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Abstract
The invention discloses a kind of customer portrait generation method and device based on recognition of face, this method comprises: acquisition user data, corresponding user's portrait information is generated according to user data, user is drawn a portrait into information storage into database, and be user setting unique identifier；The facial image obtained by camera, identifies user identity, and obtain the unique identifier of user；According to unique identifier, user's portrait information is obtained from database；Secondary operation is carried out to user's portrait information, generates the hum pattern of user；The hum pattern of user is shown on mobile terminals.The present invention is by combining face recognition technology and customer portrait analysis, the customer information of client and database in reality are associated, the relevant information of client is obtained in a manner of rapidly and efficiently, substantially reduce the time for communication of client and attendant, it allows attendant to have client more more fully to understand, improves the service experience of client.
Description
Technical field
The present invention relates to big data user's Portrait brand technology field, in particular to a kind of customer portrait based on recognition of face is raw
At method and device.
Background technique
Big data era, our construction of social informatization are more and more flourishing, and people produce more and more data and connect
Enter in network.The mode linked up between people and people is also not only traditional face-to-face simultaneously, tradition understand people, with people's ditch
Basic change has occurred in logical mode.
User's portrait refers to the labeling abstracted according to information such as the attribute of user, preference, living habit, behaviors
User model.Popular theory is exactly to label to user, and label is highly refined by analyzing user information
Signature identification.By labelling to user, some high level overviews, readily comprehensible feature can use to describe user, it can be with
Allow people to be easier to understand user, understand user be essential really Seeking Truth what.
User's Portrait brand technology used at present is only limited to the arrangement combination of back-end data, there is no and actual life
Specific individual consumers associate, to help to solve the problems, such as that customer information and actual customer disconnect.
Summary of the invention
In order to solve problems in the prior art, the embodiment of the invention provides a kind of, and the customer portrait based on recognition of face is raw
It is not and real to overcome the arrangement that user's Portrait brand technology is only limited to back-end data in the prior art to combine at method
The problems such as specific individual consumers of life associate.
To solve said one or multiple technical problems, the technical solution adopted by the present invention is that:
On the one hand, a kind of customer portrait generation method based on recognition of face is provided, this method comprises the following steps:
S1: acquisition user data generates corresponding user's portrait information according to the user data, the user is drawn a portrait
Information is stored into database, and is the user setting unique identifier；
S2: the facial image obtained by camera identifies user identity, and obtain the unique identification of the user
Code；
S3: according to the unique identifier, user's portrait information is obtained from the database；
S4: secondary operation is carried out to user portrait information, generates the hum pattern of the user；
S5: the hum pattern of the user is shown on mobile terminals.
Further, the acquisition user data includes:
Go out the off-line data of user by hive database matching；And/or
Obtain the real time data of user in real time by real-time interface mode.
Further, the step S2 is specifically included:
S2.1: the facial image that camera captures client is obtained；
S2.2: being based on preset face characteristic data, judge whether the facial image includes face, if comprising will
The facial image is converted to corresponding base64 coding, otherwise returns to identification mistake；
S2.3: the corresponding base64 coding is compared with the data in face database, if comparing successfully,
The title of the face picture to match is then returned, otherwise, is returned empty；
S2.4: according to the title of the face picture to match, the unique identifier of the user is obtained.
Further, described to include: for the user setting unique identifier
Unique account information is generated corresponding to each user；
The account information is encoded using preset coding mode, obtains the unique identifier of the user.
Further, the step S3 is specifically included:
Using decoding process corresponding with the preset coding mode, the unique identifier is decoded, is obtained
The account information of the user obtains the corresponding user from the database and draws according to the account information of the user
As information.
On the other hand, a kind of customer portrait generating means based on recognition of face are provided, described device includes:
Data processing module generates corresponding user's portrait information according to the user data for acquiring user data,
The user is drawn a portrait into information storage into database, and is the user setting unique identifier；
Picture recognition module, the facial image for being obtained by camera, identifies user identity, and obtains the use
The unique identifier at family；
Data acquisition module is believed for according to the unique identifier, obtaining the user from the database and drawing a portrait
Breath；
Information generating module, user carry out secondary operation to user portrait information, generate the hum pattern of the user；
Information display module, for the hum pattern of the user to be shown on mobile terminals.
Further, the data processing module includes:
Data acquisition unit, for going out the off-line data of user by hive database matching；And/or
Obtain the real time data of user in real time by real-time interface mode.
Further, described image identification module includes:
Image acquisition unit captures the facial image of client for obtaining camera；
Judging unit is based on preset face characteristic data, judges whether the facial image includes face, if comprising,
The facial image is then converted into corresponding base64 coding, otherwise returns to identification mistake；
Image comparing unit, for comparing the corresponding base64 coding with the data in face database
It is right, if comparing the title for successfully returning to the face picture to match, otherwise, return empty；
User identification unit obtains the unique identifier of the user according to the title of the face picture to match.
Further, the data processing module further include:
Account generation unit generates unique account information for corresponding to each user；
Coding unit obtains the user's for encoding using preset coding mode to the account information
Unique identifier.
Further, the data acquisition module includes:
Decoding unit, for use decoding process corresponding with the preset coding mode, to the unique identifier
It is decoded, obtains the account information of the user；
Query unit obtains the corresponding user for the account information according to the user from the database
Portrait information.
Technical solution provided in an embodiment of the present invention has the benefit that
1, the customer portrait generation method and device provided in an embodiment of the present invention based on recognition of face, by recognition of face skill
Art and customer portrait analysis combine, and the customer information of client and database in reality are associated, with rapidly and efficiently
Mode obtain the relevant information of client, can accurately look for channel be offering customers service, substantially reduce client with
The time for communication of attendant also allows attendant to have client and more more fully understands, and can bring preferably for client
Service experience；
2, the customer portrait generation method and device provided in an embodiment of the present invention based on recognition of face, passes through real-time interface
User tag data are obtained, are uniformly thrown to kafka module, carried out real-time update by label of the kafka module to user and are pushed away
It send, by elasticsearch search engine, user behavior is scanned for analyzing in 4T data, enable user information
It accesses and timely updates, attendant is allowed more preferably more fully to understand client.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings other
Attached drawing.
Fig. 1 is the flow chart of the customer portrait generation method shown according to an exemplary embodiment based on recognition of face；
Fig. 2 is the facial image shown according to an exemplary embodiment obtained by camera, identifies user identity,
And obtain the flow chart of the unique identifier of the user；
Fig. 3 is the structural schematic diagram that the customer portrait shown according to an exemplary embodiment based on recognition of face generates.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached in the embodiment of the present invention
Figure, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only this
Invention a part of the embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art exist
Every other embodiment obtained under the premise of creative work is not made, shall fall within the protection scope of the present invention.
Customer portrait generation method and device provided in an embodiment of the present invention based on recognition of face is suitable for Xian Xia shops
It markets relevant scene, it can allow the attendants such as customer manager of shops to obtain the correlation of client in a manner of rapidly and efficiently
Information, can accurately look for channel is offering customers service.Compared with existing shops's marketing mode, the present invention contracts significantly
The short time for communication of client and attendant, also allows attendant to have client and more more fully understands, therefore also can
Better service experience is brought for client.
Fig. 1 is the flow chart of the customer portrait generation method shown according to an exemplary embodiment based on recognition of face,
Shown in referring to Fig.1, this method comprises the following steps:
S1: acquisition user data generates corresponding user's portrait information according to the user data, the user is drawn a portrait
Information is stored into database, and is the user setting unique identifier.
Specifically, the user data of acquisition may include network behavior data, service class behavior data, user content preference
Data, customer transaction data etc..Network behavior data include number of enlivening, page browsing amount, access duration, activity ratio, outside
Contact, social data etc., service class behavior data include browse path, page residence time, access depth, unique page browsing
Number etc., user content just good data: browsing/collection content, comment content, interaction content, lifestyle preference, Brang Preference
It include contribution rate, visitor's unit price, related rate, turn-head-rate, turnover rate etc. Deng, customer transaction data.Then to collected number of users
According to being handled, behavior modeling is carried out, to take out the label of user.The process can be realized by mathematical algorithm model.
Finally by the essential attribute of user (age, gender, region), purchasing power, behavioural characteristic, hobby, psychological characteristics, social activity
The generally labeling such as network generates corresponding user and draws a portrait information.What needs to be explained here is that in the embodiment of the present invention, mark
Labelization can be by the way of multistage label, multiclass classification.For example, it is essential information (name, gender that level-one label, which can be set,
Deng), second level label is consumption habit, user behavior etc., and first-level class includes the ascribed characteristics of population, and the ascribed characteristics of population includes believing substantially again
The secondary classifications such as breath, geographical location, geographical location divide the three-levels such as work address and home address to classify again.
The user that the above process is obtained draws a portrait information storage into database and in search engine, aspect subsequent calls
Corresponding user's portrait information.This is it should be noted that database uses Hbase, and Hbase is one in the embodiment of the present invention
The distributed, PostgreSQL database towards column, is different from general relational database, and Hbase is suitble to store unstructured data.It searches
It is the server based on Lucene that index, which is held up using ElasticSearch, ElasticSearch, it provides a distribution
The full-text search engine of multi-user capability.
It is also each user setting unique identifier in the embodiment of the present invention, it is convenient to call phase subsequently through the identification code
The user's portrait information answered.
S2: the facial image obtained by camera identifies user identity, and obtain the unique identification of the user
Code.
Specifically, facial image can by camera configure realize (for example, can shops set up high-definition camera,
Capture the facial image of client automatically when client enters shops), the facial image grabbed is sent automatically to people by camera
Face identifying system, face identification system is by calling algorithm to identify user identity from face database and obtain unique knowledge of user
Other code.
S3: according to the unique identifier, user's portrait information is obtained from the database.
S4: secondary operation is carried out to user portrait information, generates the hum pattern of the user.
Specifically, carrying out secondary operation to the user's portrait information got, the hum pattern of user is generated.The information of user
Figure includes at least essential information figure (for example, name, date of birth, home address, marital status, income etc.) and user behavior rail
Mark figure (for example, page browsing, stay time, jump out rate, exit rate etc.).Drawing a portrait to the user got, information progress is secondary to be added
Work is showed in a manner of another including processing some sensitive informations of user.For example, by the assets of user
Information is classified according to assets are big, is packed according to rank to specific data, is showed in the form of grade.
S5: the hum pattern of the user is shown on mobile terminals.
Specifically, the hum pattern of user is shown on mobile terminal (such as IPAD, smart phone etc.), i.e., in visitor
When family enters shops, the hum pattern of user can be returned on mobile terminal, and the attendants such as the customer manager of shops is facilitated to look into
It sees, so that the attendants such as customer manager can obtain the relevant information of client in a manner of rapidly and efficiently.It needs exist for
Bright, in the embodiment of the present invention, the hum pattern that user can be set enters the sequence of shops according to client, on mobile terminals
Auto-sequencing, to facilitate the attendants such as customer manager can be quickly by the user information of client and mobile terminal push under line
On Rapid matching, working efficiency is improved.
As a kind of preferably embodiment, in the embodiment of the present invention, the acquisition user data includes:
Go out the off-line data of user by hive database matching；And/or
Obtain the real time data of user in real time by real-time interface mode.
Specifically, user's portrait is more three-dimensional, is more nearly real user in order to make, in the embodiment of the present invention, acquisition
User data not only includes off-line data, further includes real time data.Off-line data mainly passes through hive database matching and goes out user
Basic data, such as according to daily browsing financing the page behavior act, purchase product movement etc., generate one such as: nearly 3 days
Inside there is the label of label or page residence time greater than 10 minutes of purchase finance product.Real time data mainly passes through kafka reality
When receive, such as: user has placed an order certain commodity, then stamps the label that a particular point in time places an order to user in real time.Using offline
Data are combined with real time data, and family portrait can be used and constantly corrected according to the basic data of variation, and can be according to known
Data take out new label, keep user's portrait more and more three-dimensional, so as to accomplishing precision marketing to user.It needs exist for
Illustrate, in the embodiment of the present invention, the real time data of user can also pass through HTTP, RSF etc. except through kafka acquisition
Mode obtains, we can be summarized by unified module after obtaining data.
Fig. 2 is the facial image shown according to an exemplary embodiment obtained by camera, identifies user identity,
And the flow chart of the unique identifier of the user is obtained, referring to shown in Fig. 2, as a kind of preferably embodiment, the present invention
In embodiment, the step S2 is specifically included:
S2.1: the facial image that camera captures client is obtained；
S2.2: being based on preset face characteristic data, judge whether the facial image includes face, if comprising will
The facial image is converted to corresponding base64 coding, otherwise returns to identification mistake；
Specifically, presetting a face characteristic, the facial image captured is judged according to face characteristic data
It whether include face.Preset face characteristic data can be a default profile, in the facial image captured by judgement
Whether judge whether facial image includes face comprising the data that match with the profile.If in facial image including people
Facial image is then converted to corresponding base64 coding by face, if not including face in facial image, is then illustrated to capture and be lost
It loses, returns to identification mistake.
S2.3: the corresponding base64 coding is compared with the data in face database, if comparing successfully,
The title of the face picture to match is then returned, otherwise, is returned empty.
Specifically, the corresponding base64 coding of facial image is compared with the data in face database, inquire
Corresponding face information in face database, if inquiring the face information to match then returns to the face picture to match
Title, if not inquiring the face information to match then returns to sky, illustrate inquiry failure.
S2.4: according to the title of the face picture to match, the unique identifier of the user is obtained.
Specifically, the corresponding user of the title is searched, to obtain user's according to the title of the face picture to match
Unique identifier.What needs to be explained here is that if identification failure (i.e. facial image recognition failures), can also be arranged logical
Cell-phone number, identification card number or the other information of client's offer are crossed, to transfer the relevant information of client.
As a kind of preferably embodiment, in the embodiment of the present invention, described is the user setting unique identifier packet
It includes:
Unique account information is generated corresponding to each user；
The account information is encoded using preset coding mode, obtains the unique identifier of the user.
Specifically, a unique account information first can be generated to each user when user's unique identifier is arranged,
Then according to specific requirements, the coding mode for being suitble to data type is selected, account information is encoded, corresponding use is generated
The unique identifier at family.What needs to be explained here is that not limited to specific coding mode in the embodiment of the present invention.
As a kind of preferably embodiment, in the embodiment of the present invention, the step S3 is specifically included:
Using decoding process corresponding with the preset coding mode, the unique identifier is decoded, is obtained
The account information of the user obtains the corresponding user from the database and draws according to the account information of the user
As information.
Specifically, after getting unique identifier, it is unique to this using decoding process corresponding with preset coding mode
Identification code is decoded accordingly, obtains the account information of user, is then inquired in the database using the account information of user,
Obtain corresponding user's portrait information.
Fig. 3 is the structural schematic diagram that the customer portrait shown according to an exemplary embodiment based on recognition of face generates,
Referring to shown in Fig. 3, which includes:
Data processing module generates corresponding user's portrait information according to the user data for acquiring user data,
The user is drawn a portrait into information storage into database, and is the user setting unique identifier；
Picture recognition module, the facial image for being obtained by camera, identifies user identity, and obtains the use
The unique identifier at family；
Data acquisition module is believed for according to the unique identifier, obtaining the user from the database and drawing a portrait
Breath；
Information generating module, user carry out secondary operation to user portrait information, generate the hum pattern of the user；
Information display module, for the hum pattern of the user to be shown on mobile terminals.
As a kind of preferably embodiment, in the embodiment of the present invention, the data processing module includes:
Data acquisition unit, for going out the off-line data of user by hive database matching；And/or by connecing in real time
Mouth mode obtains the real time data of user in real time.
As a kind of preferably embodiment, in the embodiment of the present invention, described image identification module includes:
Image acquisition unit captures the facial image of client for obtaining camera；
Judging unit is based on preset face characteristic data, judges whether the facial image includes face, if comprising,
The facial image is then converted into corresponding base64 coding, otherwise returns to identification mistake；
Image comparing unit, for comparing the corresponding base64 coding with the data in face database
It is right, if comparing the title for successfully returning to the face picture to match, otherwise, return empty；
User identification unit obtains the unique identifier of the user according to the title of the face picture to match.
As a kind of preferably embodiment, in the embodiment of the present invention, the data processing module further include:
Account generation unit generates unique account information for corresponding to each user；
Coding unit obtains the user's for encoding using preset coding mode to the account information
Unique identifier.
As a kind of preferably embodiment, in the embodiment of the present invention, the data acquisition module includes:
Decoding unit, for use decoding process corresponding with the preset coding mode, to the unique identifier
It is decoded, obtains the account information of the user；
Query unit obtains the corresponding user for the account information according to the user from the database
Portrait information.
In conclusion technical solution provided in an embodiment of the present invention has the benefit that
1, the customer portrait generation method and device provided in an embodiment of the present invention based on recognition of face, by recognition of face skill
Art and customer portrait analysis combine, and the customer information of client and database in reality are associated, with rapidly and efficiently
Mode obtain the relevant information of client, can accurately look for channel be offering customers service, substantially reduce client with
The time for communication of attendant also allows attendant to have client and more more fully understands, and can bring preferably for client
Service experience；
2, the customer portrait generation method and device provided in an embodiment of the present invention based on recognition of face, passes through real-time interface
User tag data are obtained, are uniformly thrown to kafka module, carried out real-time update by label of the kafka module to user and are pushed away
It send, by elasticsearch search engine, user behavior is scanned for analyzing in 4T data, enable user information
It accesses and timely updates, attendant is allowed more preferably more fully to understand client.
It should be understood that the customer portrait generating means provided by the above embodiment based on recognition of face are in triggering client
Draw a portrait generation business when, only the example of the division of the above functional modules, in practical application, can according to need and
Above-mentioned function distribution is completed by different functional modules, i.e., the internal structure of device is divided into different functional modules, with
Complete all or part of function described above.In addition, the customer portrait provided by the above embodiment based on recognition of face is raw
Belong to same design at device and the customer portrait generation method embodiment based on recognition of face, i.e., the device is based on based on this
The customer portrait generation method of recognition of face, specific implementation process is detailed in embodiment of the method, and which is not described herein again.
Those of ordinary skill in the art will appreciate that realizing that all or part of the steps of above-described embodiment can pass through hardware
It completes, relevant hardware can also be instructed to complete by program, the program can store in a kind of computer-readable
In storage medium, storage medium mentioned above can be read-only memory, disk or CD etc..
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of customer portrait generation method based on recognition of face, which is characterized in that described method includes following steps:
S1: acquisition user data generates corresponding user's portrait information according to the user data, by user portrait information
It stores in database, and is the user setting unique identifier；
S2: the facial image obtained by camera identifies user identity, and obtain the unique identifier of the user；
S3: according to the unique identifier, user's portrait information is obtained from the database；
S4: secondary operation is carried out to user portrait information, generates the hum pattern of the user；
S5: the hum pattern of the user is shown on mobile terminals.
2. the customer portrait generation method according to claim 1 based on recognition of face, which is characterized in that the acquisition is used
User data includes:
Go out the off-line data of user by hive database matching；And/or
Obtain the real time data of user in real time by real-time interface mode.
3. the customer portrait generation method according to claim 1 or 2 based on recognition of face, which is characterized in that the step
Rapid S2 is specifically included:
S2.1: the facial image that camera captures client is obtained；
S2.2: being based on preset face characteristic data, judge whether the facial image includes face, if comprising will be described
Facial image is converted to corresponding base64 coding, otherwise returns to identification mistake；
S2.3: the corresponding base64 coding is compared with the data in face database, if comparing successfully, is returned
The title of the face picture to match is returned, otherwise, is returned empty；
S2.4: according to the title of the face picture to match, the unique identifier of the user is obtained.
4. the customer portrait generation method according to claim 1 or 2 based on recognition of face, which is characterized in that described to be
The user setting unique identifier includes:
Unique account information is generated corresponding to each user；
The account information is encoded using preset coding mode, obtains the unique identifier of the user.
5. the customer portrait generation method according to claim 4 based on recognition of face, which is characterized in that the step S3
It specifically includes:
Using decoding process corresponding with the preset coding mode, the unique identifier is decoded, described in acquisition
The account information of user obtains the corresponding user from the database and draws a portrait and believe according to the account information of the user
Breath.
6. a kind of customer portrait generating means based on recognition of face, which is characterized in that described device includes:
Data processing module generates corresponding user's portrait information according to the user data, by institute for acquiring user data
It states user and draws a portrait information storage into database, and be the user setting unique identifier；
Picture recognition module, the facial image for being obtained by camera, identifies user identity, and obtains the user's
Unique identifier；
Data acquisition module, for according to the unique identifier, obtaining user's portrait information from the database；
Information generating module, user carry out secondary operation to user portrait information, generate the hum pattern of the user；
Information display module, for the hum pattern of the user to be shown on mobile terminals.
7. the customer portrait generating means according to claim 6 based on recognition of face, which is characterized in that at the data
Managing module includes:
Data acquisition unit, for going out the off-line data of user by hive database matching；And/or
Obtain the real time data of user in real time by real-time interface mode.
8. the customer portrait generating means according to claim 6 or 7 based on recognition of face, which is characterized in that the figure
As identification module includes:
Image acquisition unit captures the facial image of client for obtaining camera；
Judging unit is based on preset face characteristic data, judges whether the facial image includes face, if comprising will
The facial image is converted to corresponding base64 coding, otherwise returns to identification mistake；
Image comparing unit, for the corresponding base64 coding to be compared with the data in face database, if
It compares successfully, then returns to the title of the face picture to match, otherwise, return empty；
User identification unit obtains the unique identifier of the user according to the title of the face picture to match.
9. the customer portrait generating means according to claim 6 or 7 based on recognition of face, which is characterized in that the number
According to processing module further include:
Account generation unit generates unique account information for corresponding to each user；
Coding unit obtains the unique of the user for encoding using preset coding mode to the account information
Identification code.
10. the customer portrait generating means according to claim 9 based on recognition of face, which is characterized in that the data
Obtaining module includes:
Decoding unit, for use decoding process corresponding with the preset coding mode, to unique identifier progress
Decoding, obtains the account information of the user；
Query unit obtains corresponding user's portrait for the account information according to the user from the database
Information.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110825808A (en) * | 2019-09-23 | 2020-02-21 | 重庆特斯联智慧科技股份有限公司 | Distributed human face database system based on edge calculation and generation method thereof |
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