CN104392370A - Electronic commerce system and method for automatically acquiring customer information - Google Patents
Electronic commerce system and method for automatically acquiring customer information Download PDFInfo
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Abstract
The invention discloses an electronic commerce system and method for automatically acquiring customer information. According to the electronic commerce system and method for automatically acquiring customer information, facial feature data of customers who have patronized a shop are recorded and are matched with the facial features of customers who enter the shop and perform payment, if matching information is found, basic membership data and cumulative consumption data related to the customers are retrieved, if matching information is not found, the facial features of the customers are saved. According to the electronic commerce system and method for automatically acquiring customer information, face recognition technologies are combined with an electronic commerce platform, so that customers can be automatically recognized, and therefore, timely grasp of consumption preferences can be facilitated for operators, and high-efficiency shopping guide can be realized, and payment speed can be increased.
Description
Technical field
The present invention relates to a kind of e-commerce system and method, specifically refer to a kind of e-commerce system based on face recognition technology automatic acquisition Customer Information and method.
Background technology
Along with the development and progress of science and technology, face recognition technology is ripe day by day.Therefore, based on face recognition technology, can make that various business platform is more intelligent serves the general public more easily.
Present all kinds of retail shops, there is every day a lot of client to pass in and out and browse shopping, with human brain memory, Shopping Guide only cannot remember that the current client coming into retail shop is patron or new client at all, if the words of patron, it is partial to the commodity liking what style or type, consumer record once, discount enjoyed etc. information.
Therefore, present all kinds of retail shops, no matter scale, all all kinds of consumption information being carried out management of consumer by membership system, but this category information could read after also only only showing member card when client checks and show, Shopping Guide cannot know its name and hobby client in entering shop, shooting the arrow at the target for not accomplishing during customer recommendation commodity, the shopping side often touching not potential client to.
Based on above-mentioned, need to provide a kind of can based on the e-commerce system of the automatic quick obtaining Customer Information of face recognition technology and method, it can assist Shopping Guide better is in time customer service.
Summary of the invention
The object of the present invention is to provide a kind of e-commerce system and method for automatic acquisition Customer Information, based on face recognition technology, it is combined with e-commerce platform, client is identified automatically, be conducive to operator and grasp consumption deflection in time, efficient shopping guide can be realized, and accelerate checkout speed.
In order to achieve the above object, the invention provides a kind of e-commerce system of automatic acquisition Customer Information, comprise: stored data base, the face feature data of the client of retail shop and corresponding user profile patronized in its record; Face recognition module, it is connected with described stored data base, carries out recognition of face to as the client advancing into retail shop and in stored data base, finds the customer files of face feature data match; User profile acquisition module, it is connected with described face recognition module and stored data base respectively, according to the customer files of the coupling that face recognition module searches out, calls corresponding user profile in stored data base.
Described face recognition module comprises: the first acquisition module, and it is arranged on position, doorway, shop, carries out acquisition and recording to the facial image information of the client entering shop; Second acquisition module, it is arranged on cash register location, carries out acquisition and recording to the facial image information of the client of shopping checkout; Extraction module, it is connected with the first described acquisition module and the second acquisition module respectively, receives the customer face image information of the first acquisition module or the second acquisition module record, and extracts the face feature data of this client; Matching module, it is connected with described extraction module, the customer files that the customer face characteristic that searching and extraction module obtain in stored data base matches.
The first described acquisition module and the second acquisition module are camera or camera.
Described user profile acquisition module comprises: calling module, it is connected with described matching module and stored data base respectively, according to the customer files of the coupling that matching module searches out, in stored data base, call the user profile corresponding with it, comprise basic member data and cumulative consumption data; Analysis module, it is connected with described calling module, receives the cumulative consumption data that calling module obtains, analyzes and generate customer consumption deflection figure; Display module, it is connected with described calling module and analysis module respectively, the customer consumption deflection figure of display analysis CMOS macro cell, and the basic member data that display calling module obtains.
The present invention also provides a kind of E-commerce method of automatic acquisition Customer Information, comprises following steps:
S1, face recognition module are carried out recognition of face to as the client advancing into retail shop and in stored data base, find the customer files that whether there is face feature data match; As found, then performing step S2, as do not found, then performing step S3;
The customer files matched that S2, user profile acquisition module search out according to face recognition module, calls the cumulative consumption data in corresponding user profile in stored data base;
S3, the face characteristic data of current customer are recorded in stored data base;
Settle accounts after S4, customer purchase, the customer files matched that user profile acquisition module searches out according to face recognition module, in stored data base, call the basic member data in corresponding user profile, and the consumption data of this shopping of client is recorded in stored data base.
Described step S1 comprises following steps:
S1.1, the first acquisition module facial image information to the client entering shop carries out acquisition and recording;
S1.2, extraction module receive the facial image information of the client of the first acquisition module record, and extract the face feature data of this client;
The customer files that the customer face characteristic that S1.3, matching module are found in stored data base and extraction module obtains matches; As found, performing step S2.1, as do not found, performing step S3.
Described step S2 comprises following steps:
The customer files of the coupling that S2.1, calling module search out according to matching module, finds the cumulative consumption data in the user profile corresponding with it in stored data base; As found, performing step S2.2, as do not found, performing step S4;
S2.2, analysis module receive the cumulative consumption data that calling module obtains, and analyze and generate customer consumption deflection figure;
The customer consumption deflection figure of S2.3, display module display analysis CMOS macro cell.
Described step S4 comprises following steps:
S4.1, client this time non-purchase and consumption, terminates;
Settle accounts after S4.2, customer purchase, face recognition module is carried out recognition of face to the client of current checkout and in stored data base, is found the customer files of face feature data match;
The customer files of the coupling that S4.3, user profile acquisition module search out according to face recognition module, the basic member data in the user profile corresponding with it is found in stored data base, complete checkout, and this consumption data of doing shopping is recorded in stored data base.
Described step S4.2 specifically comprises following steps:
Settle accounts after S4.2.1, customer purchase, the second acquisition module carries out acquisition and recording to the facial image information of this checkout client;
S4.2.2, extraction module receive the facial image information of the client of the second acquisition module record, and extract the face feature data of this client;
The customer files that the customer face characteristic that S4.2.3, matching module are found in stored data base and extraction module obtains matches.
Described step S4.3 specifically comprises following steps:
The customer files of the coupling that S4.3.1, calling module search out according to matching module, finds the basic member data in the user profile corresponding with it in stored data base, as found, performs step S4.3.2; As do not found, perform step S4.3.3;
Basic member data described in the display of S4.3.2, display module, cashier completes checkout according to this basic member data, and is recorded in stored data base by this consumption data of doing shopping;
S4.3.3, complete checkout, and the consumption data of the basic member data of client and this shopping is recorded in stored data base.
In sum, the e-commerce system of automatic acquisition Customer Information provided by the present invention and method, based on face recognition technology, it is combined with e-commerce platform, client is identified automatically, is conducive to operator and grasps consumption deflection in time, efficient shopping guide can be realized, and accelerate checkout speed, greatly reduce the situation of queuing checkout time in market.
Accompanying drawing explanation
Fig. 1 is the structural representation of the e-commerce system of automatic acquisition Customer Information provided by the invention;
Fig. 2 is the basic flow sheet of the E-commerce method of automatic acquisition Customer Information provided by the invention;
Fig. 3 is the particular flow sheet of the E-commerce method of automatic acquisition Customer Information provided by the invention.
Embodiment
Below in conjunction with Fig. 1 ~ Fig. 3, by describing a preferably specific embodiment in detail, the present invention is further elaborated.
As shown in Figure 1, be the structural representation of the e-commerce system of automatic acquisition Customer Information provided by the present invention, this system comprises: stored data base 1, and the face feature data of the client of retail shop and corresponding user profile patronized in its record; Face recognition module 2, it is connected with described stored data base 1, carries out recognition of face to as the client advancing into retail shop and in stored data base 1, finds the customer files of face feature data match; User profile acquisition module 3, it is connected with described face recognition module 2 and stored data base 1 respectively, according to the customer files of the coupling that face recognition module 2 searches out, calls corresponding user profile in stored data base 1.
Further, described face recognition module 2 comprises: the first acquisition module 21, and it is arranged on position, doorway, shop, carries out acquisition and recording to the facial image information of the client entering shop; Second acquisition module 24, it is arranged on cash register location, carries out acquisition and recording to the facial image information of the client of shopping checkout; Extraction module 22, it is connected with the first described acquisition module 21 and the second acquisition module 24 respectively, receives the customer face image information of the first acquisition module 21 or the second acquisition module 24 record, and extracts the face feature data of this client; Matching module 23, it is connected with described extraction module 22, the customer files that the customer face characteristic that searching and extraction module 22 obtain in stored data base 1 matches.
The first described acquisition module 21 and the second acquisition module 24 are camera or camera.
Described user profile acquisition module 3 comprises: calling module 31, it is connected with described matching module 23 and stored data base 1 respectively, according to the customer files of the coupling that matching module 23 searches out, in stored data base 1, call the user profile corresponding with it, comprise basic member data and cumulative consumption data; Analysis module 32, it is connected with described calling module 31, receives the cumulative consumption data that calling module 31 obtains, analyzes and generate customer consumption deflection figure; Display module 33, it is connected with described calling module 31 and analysis module 32 respectively, the customer consumption deflection figure that display analysis module 32 generates, and the basic member data that display calling module 31 obtains.
Described basic member data comprises: the name of client, the age, birthday, Shipping Address, telephone number, scores accumulated, the discount information etc. that should enjoy; Described cumulative consumption data comprise the passing consumer record of client, such as its inventory once bought, the type of merchandise bought and the style information etc. of preference.
As shown in Figures 2 and 3, be the process flow diagram of the E-commerce method of automatic acquisition Customer Information provided by the invention, the method includes the steps of:
S1, face recognition module 2 are carried out recognition of face to as the client advancing into retail shop and in stored data base 1, find the customer files that whether there is face feature data match; As found, then performing step S2, as do not found, then performing step S3;
The customer files matched that S2, user profile acquisition module 3 search out according to face recognition module 2, calls the cumulative consumption data in corresponding user profile in stored data base 1;
S3, the face characteristic data of current customer are recorded in stored data base 1;
S4, when client settles accounts after shopping, the customer files matched that user profile acquisition module 3 searches out according to face recognition module 2, in stored data base 1, call the basic member data in corresponding user profile, and the consumption data of this shopping of client is recorded in stored data base 1.
Wherein, described step S1 comprises following steps:
S1.1, the facial image information of the first acquisition module 21 to the client entering shop carry out acquisition and recording;
S1.2, extraction module 22 receive the facial image information of the client that the first acquisition module 21 records, and extract the face feature data of this client;
The customer files that the customer face characteristic that S1.3, matching module 23 are found in stored data base 1 and extraction module 22 obtains matches; As found, illustrating and once coming head store between this client, then perform step S2.1, as do not found, illustrating that this client comes head store first time, then performing step S3.
Described step S2 comprises following steps:
The customer files of the coupling that S2.1, calling module 31 search out according to matching module 23, finds the cumulative consumption data in the user profile corresponding with it in stored data base 1; As found, once at head store post-consumer before this client being described, performing step S2.2, as do not found, only coming head store before this client is described, but not consuming, perform step S4;
S2.2, analysis module 32 receive the cumulative consumption data that calling module 31 obtains, and analyze and generate customer consumption deflection figure;
The customer consumption deflection figure that S2.3, display module 33 display analysis module 32 generate, makes Shopping Guide specifically can like for client and carries out shopping guide's service.
Described step S4 comprises following steps:
S4.1, client this time non-purchase and consumption, terminates;
Settle accounts after S4.2, customer purchase, face recognition module 2 is carried out recognition of face to the client of current checkout and in stored data base 1, is found the customer files of face feature data match;
The customer files of the coupling that S4.3, user profile acquisition module 3 search out according to face recognition module 2, the basic member data in the user profile corresponding with it is found in stored data base 1, complete checkout, and this consumption data of doing shopping is recorded in stored data base 1.
Described step S4.2 specifically comprises following steps:
Settle accounts after S4.2.1, customer purchase, the second acquisition module 24 carries out acquisition and recording to the facial image information of this checkout client;
S4.2.2, extraction module 22 receive the facial image information of the client that the second acquisition module 24 records, and extract the face feature data of this client;
The customer files that the customer face characteristic that S4.2.3, matching module 23 are found in stored data base 1 and extraction module 22 obtains matches.
Described step S4.3 specifically comprises following steps:
The customer files of the coupling that S4.3.1, calling module 31 search out according to matching module 23, the basic member data in the user profile corresponding with it is found in stored data base 1, as found, once at head store post-consumer before this client is described, perform step S4.3.2; As do not found, this being described customers first time in head store consumption, performing step S4.3.3;
S4.3.2, display module 33 show described basic member data, after cashier and client confirm the relevant information such as name, Shipping Address (if the deliver goods of customer need retail shop), the discount information should enjoyed according to it completes checkout and cumulative integral, is finally recorded in stored data base 1 by this consumption data of doing shopping;
S4.3.3, complete checkout, and the consumption data of the basic member data of client and this shopping is recorded in stored data base 1.
In sum, the e-commerce system of automatic acquisition Customer Information provided by the present invention and method, based on face recognition technology, it is combined with e-commerce platform, client is identified automatically, is conducive to operator and grasps consumption deflection in time, efficient shopping guide can be realized, and accelerate checkout speed, greatly reduce the situation of queuing checkout time in market.
Although content of the present invention has done detailed introduction by above preferred embodiment, will be appreciated that above-mentioned description should not be considered to limitation of the present invention.After those skilled in the art have read foregoing, for multiple amendment of the present invention and substitute will be all apparent.Therefore, protection scope of the present invention should be limited to the appended claims.
Claims (10)
1. an e-commerce system for automatic acquisition Customer Information, is characterized in that, comprises:
Stored data base (1), the face feature data of the client of retail shop and corresponding user profile patronized in its record;
Face recognition module (2), it is connected with described stored data base (1), carries out recognition of face to as the client advancing into retail shop and in stored data base (1), finds the customer files of face feature data match;
User profile acquisition module (3), it is connected with described face recognition module (2) and stored data base (1) respectively, according to the customer files of the coupling that face recognition module (2) searches out, in stored data base (1), call corresponding user profile.
2. the e-commerce system of automatic acquisition Customer Information as claimed in claim 1, it is characterized in that, described face recognition module (2) comprises:
First acquisition module (21), it is arranged on position, doorway, shop, carries out acquisition and recording to the facial image information of the client entering shop;
Second acquisition module (24), it is arranged on cash register location, carries out acquisition and recording to the facial image information of the client of shopping checkout;
Extraction module (22), it is connected with described the first acquisition module (21) and the second acquisition module (24) respectively, receive the customer face image information that the first acquisition module (21) or the second acquisition module (24) record, and extract the face feature data of this client;
Matching module (23), it is connected with described extraction module (22), the customer files that the customer face characteristic that searching and extraction module (22) obtain in stored data base (1) matches.
3. the e-commerce system of automatic acquisition Customer Information as claimed in claim 2, it is characterized in that, described the first acquisition module (21) and the second acquisition module (24) are camera or camera.
4. the e-commerce system of automatic acquisition Customer Information as claimed in claim 2, it is characterized in that, described user profile acquisition module (3) comprises:
Calling module (31), it is connected with described matching module (23) and stored data base (1) respectively, according to the customer files of the coupling that matching module (23) searches out, in stored data base (1), call the user profile corresponding with it, comprise basic member data and cumulative consumption data;
Analysis module (32), it is connected with described calling module (31), receives the cumulative consumption data that calling module (31) obtains, analyzes and generate customer consumption deflection figure;
Display module (33), it is connected with described calling module (31) and analysis module (32) respectively, the customer consumption deflection figure that display analysis module (32) generates, and the basic member data that display calling module (31) obtains.
5. an E-commerce method for automatic acquisition Customer Information, is characterized in that, the method comprises following steps:
S1, face recognition module (2) carry out recognition of face and the customer files that whether there is face feature data match in the middle searching of stored data base (1) to working as the client advancing into retail shop; As found, then performing step S2, as do not found, then performing step S3;
The customer files matched that S2, user profile acquisition module (3) search out according to face recognition module (2), calls the cumulative consumption data in corresponding user profile in stored data base (1);
S3, the face characteristic data of current customer are recorded in stored data base (1);
Settle accounts after S4, customer purchase, the customer files matched that user profile acquisition module (3) searches out according to face recognition module (2), in stored data base (1), call the basic member data in corresponding user profile, and the consumption data of this shopping of client is recorded in stored data base (1).
6. the E-commerce method of automatic acquisition Customer Information as claimed in claim 5, it is characterized in that, described step S1 comprises following steps:
S1.1, the facial image information of the first acquisition module (21) to the client entering shop carry out acquisition and recording;
S1.2, extraction module (22) receive the facial image information of the client that the first acquisition module (21) records, and extract the face feature data of this client;
The customer files that the customer face characteristic that S1.3, matching module (23) are found in stored data base (1) and extraction module (22) obtains matches; As found, performing step S2.1, as do not found, performing step S3.
7. the E-commerce method of automatic acquisition Customer Information as claimed in claim 6, it is characterized in that, described step S2 comprises following steps:
The customer files of the coupling that S2.1, calling module (31) search out according to matching module (23), finds the cumulative consumption data in the user profile corresponding with it in stored data base (1); As found, performing step S2.2, as do not found, performing step S4;
S2.2, analysis module (32) receive the cumulative consumption data that calling module (31) obtains, and analyze and generate customer consumption deflection figure;
The customer consumption deflection figure that S2.3, display module (33) display analysis module (32) generate.
8. the E-commerce method of automatic acquisition Customer Information as claimed in claim 5, it is characterized in that, described step S4 comprises following steps:
S4.1, client this time non-purchase and consumption, terminates;
Settle accounts after S4.2, customer purchase, face recognition module (2) is carried out recognition of face to the client of current checkout and in stored data base (1), is found the customer files of face feature data match;
The customer files of the coupling that S4.3, user profile acquisition module (3) search out according to face recognition module (2), the basic member data in the user profile corresponding with it is found in stored data base (1), complete checkout, and this consumption data of doing shopping is recorded in stored data base (1).
9. the E-commerce method of automatic acquisition Customer Information as claimed in claim 8, it is characterized in that, described step S4.2 specifically comprises following steps:
Settle accounts after S4.2.1, customer purchase, the second acquisition module (24) carries out acquisition and recording to the facial image information of this checkout client;
S4.2.2, extraction module (22) receive the facial image information of the client that the second acquisition module (24) records, and extract the face feature data of this client;
The customer files that the customer face characteristic that S4.2.3, matching module (23) are found in stored data base (1) and extraction module (22) obtains matches.
10. the E-commerce method of automatic acquisition Customer Information as claimed in claim 9, it is characterized in that, described step S4.3 specifically comprises following steps:
The customer files of the coupling that S4.3.1, calling module (31) search out according to matching module (23), finds the basic member data in the user profile corresponding with it in stored data base (1), as found, performs step S4.3.2; As do not found, perform step S4.3.3;
Basic member data described in the display of S4.3.2, display module (33), cashier completes checkout according to this basic member data, and is recorded in stored data base (1) by this consumption data of doing shopping;
S4.3.3, complete checkout, and the consumption data of the basic member data of client and this shopping is recorded in stored data base (1).
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