CUSTOMER-TAILORED BIG DATA ANALYSIS SYSTEM USING COSMETIC INFORMATION AND BIOMETRIC INFORMATION

Abstract

A customer-customized big data analysis system using cosmetic information and biometric information according to the present invention, the big data analysis system comprises: a skin care device used by each customer, generating a microcurrent to increase penetration of cosmetics, and detecting biometric information related to skin; a customer terminal connected to the skin care device through short-distance communication, input member information through an application, and displaying the biometric information; and a big data server including a member biometric information DB unit connected to customer terminals through long-distance communication, and receiving and storing member information and biometric information from the customer terminals, and a cosmetics DB unit storing information of cosmetics and additives, wherein the application recommends cosmetics by analyzing big data with its own algorithm.

Claims

1. A customer-customized big data analysis system using cosmetic information and biometric information comprises: a skin care device 100 individually used by each customer, generating a microcurrent to increase penetration of cosmetics, and detecting biometric information related to a customer's skin information through a sensor 110; a customer terminal 200 connected to the skin care device 100 through short-distance communication, input member information through a pre-installed application, and displaying the biometric information provided from the skin care device 100; and a big data server 300 including: a member biometric information DB unit 400 connected to a plurality of customer terminals 200 through long-distance communication, and receiving and storing member information and biometric information from the customer terminals 200, and a cosmetics DB unit 500 storing information on types of cosmetics and additives included in the cosmetics, wherein the application of the customer terminal 200 recommends one or more types of cosmetics included in the cosmetics DB unit 500, by analyzing big data including the information of the member biometric information DB unit 400 and the information of the cosmetics DB unit 500 with its own algorithm.

2. The customer-customized big data analysis system of claim 1, wherein the biometric information displayed on the customer terminal 200 includes information related to moisture content, oil content, skin elasticity, skin aging, and lightness of the skin.

3. The customer-customized big data analysis system of claim 1, wherein the member information input through the customer terminal 200 includes member ID, age, gender, occupational group, skin type, living environment, disease, and eating habits.

4. The customer-customized big data analysis system of claim 1, wherein the application of the customer terminal 200 includes: a before use record unit 210 recording skin condition before use of cosmetics and the skin care device 100; an after use record unit 220 recording skin condition after use of the cosmetics and the skin care device 100, and a comparison and determination unit 230 analyzing and determining a degree of skin improvement by comparing and analyzing data of the before use record unit 210 and the after use record unit 220.

5. The customer-customized big data analysis system of claim 4, wherein the information related to the degree of skin improvement of the comparison and determination unit 230 is stored in the member biometric information DB unit 400 of the big data server 300.

6. The customer-customized big data analysis system of claim 1, wherein the information of the additives stored in the cosmetic DB unit 500 is automatically uploaded by recognizing an ingredient QR code of a cosmetic through the customer terminal 200, or by recognizing the cosmetic QR code and self-searching an ingredient list of the cosmetic through search algorithm of a website 600 in the big data server 300.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0023] FIG. 1 is a drawing illustrating an overall configuration of a customer-tailored big data analysis system using cosmetic information and biometric information according to the present invention.

[0024] FIG. 2 is an exemplary drawing illustrating information exchanged between a customer terminal and a big data server in the system according to the present invention.

[0025] FIG. 3 is a drawing illustrating a configuration identifying the degree of improvement of the skin on a customer terminal application in the system according to the present invention.

DETAILED DESCIPTION EMBODIEMENTS OF THE INVENTIONS

[0026] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the description of the present invention, if a detailed description of related known functions or configurations may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted.

[0027] Referring to FIG. 1, a customer-customized big data analysis system using cosmetic information and biometric information of the present invention comprises: a skin care device 100 individually used by each customer, generating a microcurrent to increase penetration of cosmetics, and detecting biometric information related to a customer's skin information through a sensor 110; a customer terminal 200 connected to the skin care device 100 through short-distance communication, input member information through a pre-installed application, and displaying biometric information provided from the skin care device 100; and a big data server 300 including a member biometric information DB unit 400 connected to a plurality of customer terminals 200 through long-distance communication, and receiving and storing member information and biometric information from the customer terminals 200, and a cosmetics DB unit 500 storing information on types of cosmetics and additives included in the cosmetics.

[0028] The application of the customer terminal 200 recommends one or more types of cosmetics included in the cosmetics DB unit 500, by analyzing the big data including the information of the member biometric information DB unit 400 and the information of the cosmetics DB unit 500 through the application of the customer terminal 200, using its own algorithm.

[0029] The skin care device 100 of the present invention is used by a customer, and generates a microcurrent in a state where cosmetics are applied to the skin, to stimulate the internal cellular tissue of the skin, increase the elasticity of the tissue, and ionize the skin to help the cosmetics to penetrate deep into the skin, thereby increasing the absorption rate of cosmetics.

[0030] The skin care device 100 detects in real time biometric information related to the skin information of the customer through the sensor 110 installed therein. The detected information is related to moisture content, oil content, skin elasticity, skin aging, and lightness of the skin.

[0031] The customer terminal 200 of the present invention is connected to the skin care device 100 using short-distance communication such as Bluetooth. The biometric information measured by the skin care device 100 is displayed on the screen of the customer terminal 200 through the application installed in the customer terminal 200, so that the customer can directly check the condition of the skin. In this case, the biometric information displayed on the customer terminal 200 includes information related to moisture content, oil content, skin elasticity, skin aging, and lightness of the skin.

[0032] In addition, the member information is input through the application of the customer terminal 200. The member information input through the customer terminal 200 may include information of member ID, age, gender, occupational group, skin type, living environment, disease, and eating habits.

[0033] The big data server 300 of the present invention is connected to a plurality of customer terminals 200 through long-distance communication such as internet, and member information and biometric information provided from each customer terminal 200 are stored in the member biometric DB unit 400, and types of cosmetics and information on additives included in cosmetics are stored in the cosmetics DB unit 500.

[0034] The big data server 300 provides the information of the member biometric DB unit and the cosmetic DB unit 500 to the customer terminal 200, and the application of the customer terminal 200 analyzes big data including the provided information to determine the most suitable cosmetics for the customer to recommends the certain type of cosmetics and displays them on the customer terminal 200.

[0035] As shown in FIG. 3, the application of the customer terminal 200 may include a before use record unit 210 recording the skin condition before use of cosmetics and the skin care device 100; an after use record unit 220 recording the skin condition after use of the cosmetics and the skin care device 100, and a comparison and determination unit 230 to analyze and determine the degree of skin improvement by comparing and analyzing the data of the before use record unit 210 and the after use record unit 220. When the skin condition before use and the skin condition after use are compared and the degree of skin improvement is displayed on the customer terminal 200, the customer can objectively identify the effect of the skin care device 100 and cosmetics.

[0036] Meanwhile, the information related to the degree of skin improvement of the comparison and determination unit 230 is stored in the member biometric information DB unit 400 of the big data server 300.

[0037] When the data related to the degree of skin improvement is accumulated in a large amount in the big data server 300, more accurate, customer-tailored cosmetics can be recommended. Specifically, the system analyzes the additives of the certain cosmetic groups by which the level of skin improvement improves, identifies common additives included in the certain cosmetic groups, and recommends other types of cosmetics containing a large amount of the corresponding additives.

[0038] On the other hand, if the level of skin improvement deteriorates by using certain cosmetics, the additives contained in those cosmetics are analyzed and excluded specific cosmetics containing the same or similar ingredients from the list of recommendations, and provides the customer with information of specific cosmetics that are required not to use.

[0039] Accordingly, the present invention can predict the skin condition of the members and recommend suitable, customized cosmetics for each customer without using cosmetics, by analyzing the correlation with biometric information based on the information of members including age, gender, occupational group, skin type, living environment, disease, and eating habits, and guiding a customer who install the application for the first time to simply enter member information.

[0040] For example, if information such as 42 years old, male, field worker, or dry skin type is entered as member information, the system finds other customers who have similar conditions, and then recommends certain cosmetics that those customers use, or other cosmetics that have significant skin improvement to those customers, or have specific additives similar to those included in the cosmetics used by the existing customer.

[0041] Meanwhile, the information of additives stored in the cosmetic DB unit 500 is not directly input by a server manager. The information of additives is automatically uploaded by recognizing the ingredient QR code of the cosmetic through the customer terminal 200, or by recognizing the cosmetic QR code and self-searching the ingredient list of the cosmetic through search algorithm of the website 600 in the server. In this case, the additive Information on the website 600 may be obtained by automatically extracting data existing on the website 600 through a crawling program installed in the application of the customer terminal 200.

[0042] As described above, since the user directly updates the cosmetics DB unit 500 through the customer terminal 200, the manager does not need to input cosmetic information one by one, and as the number of customers increases, cosmetic information can be accumulated in the cosmetics DB unit 500.

[0043] The customer-tailored big data analysis system of the present invention can provide customized cosmetics use guidance for each customer and help customers find cosmetics suitable for them, by storing customer's biometric information, member information, and cosmetic information as big data and repeatedly learning the correlation between both data.

[0044] In addition, since the customer-tailored big data analysis system of the present invention uses biometric information provided by the skin care device without any human intervention, it is possible to have objective and accurate judgment in evaluating each cosmetic. In addition, as the data accumulate, the accuracy can be further improved.

[0045] Meanwhile, when any one of the cosmetics recommended through the application of the customer terminal 200 is selected and purchased, the system operator may be automatically paid the advertising cost from the manufacturer or seller of the corresponding cosmetics. Accordingly, with this operation, the system of the present invention can activate the cosmetics market.

[0046] Although the present invention has been described above with reference to the above embodiments, various modifications are possible within the scope of the technical spirit of the present invention.