KR20170060740A

KR20170060740A - Offline Fashion-sales Active System

Info

Publication number: KR20170060740A
Application number: KR1020150165259A
Authority: KR
Inventors: 박진수
Original assignee: 박진수
Priority date: 2015-11-25
Filing date: 2015-11-25
Publication date: 2017-06-02

Abstract

The offline fashion / apparel shop sales activation solution according to the present invention includes a user recognizing unit for recognizing information of a user upon entry of a user and creating and calling a profile of the user; A body information measuring unit for recognizing the user's body shape information in the called profile; A camera module for recognizing the motion and taking a picture when the fitting of the user is finished; An apparel information separating and storing unit for separately storing information on consumers and clothes in the photographed photographs; A central control unit for grasping the pattern of the clothes based on the photographed clothes photograph and recommending the user to the store or the clothes of the nearby shops; A display unit for outputting the recognized body information, a photo capturing screen, clothing information, and the like on the display is constituted as a fashion view module, and is connected to a fashion view fashion view, a user terminal and a manufacturer using a wireless network, The user can easily confirm clothing information corresponding to his / her taste in a plurality of adjacent stores, thereby contributing to the purchase and contributing to the activation of sales of the offline store.

Description

Offline Fashion / Sales Store Activation Solution {Offline Fashion-sales Active System}

The present invention relates to a system for activating sales in an offline fashion / apparel store, and more particularly, to a system for enabling a consumer to easily compare clothes worn in various apparel stores, &Lt; RTI ID = 0.0 > offline fashion / apparel < / RTI >

In general, when purchasing clothes at a clothing store, the user often wears the clothes he or she wants to purchase before purchasing them to check whether they are suitable for themselves and whether they fit well with their body. To this end, a garment shop is provided with a separate fitting room, and a user-visible mirror is provided in the garment shop.

Korean Patent Laid-Open No. 10-2014-0018599 (fitting room system for customized service and its method, publication date: 2014.02.13 ) Is disclosed.

The disclosed patent is a technique of utilizing a virtual image using an image captured by a camera installed in a fitting room.

The prior art described above is a technology that can be used in one store. The user is more likely to check various garments at various stores or purchase them after wearing them, rather than checking only the clothes he wants to purchase The above-mentioned prior art has a problem in practicality.

Generally, in the offline store, the user can not provide the product information to the consumer in the offline store until the user enters the store, and the user can make a self-made flyer or send it at random or hang around the banner for advertising And indirectly provides information to users.

As an example of a conventional technology for solving these problems and providing information to users in an offline store, Korean Patent Laid-Open No. 10-2002-0047809 (a system for providing a shop information service and a method of operating the system, Feb. 22, 2002).

The prior art as described above relates to a commercial information providing system and a method of operating the system, and when a customer visits a shopping mall or a large-sized store building, the customer provides information on each store in the building through the terminal And when an unexpected event or the like occurs in a specific store in the building, the information can be provided through a terminal of a customer visiting the building.

However, in the case of such a shopping information providing system, the system can not be utilized when the offline store is not occupied in a large shopping mall or a department store, and information can not be provided even when the user does not enter the store.

Korean Patent Publication No. 10-2014-0018599 "Fitting Room System and Method for Customized Service" Korean Patent Publication No. 10-2002-0047809 "Shopping information providing service system and method of operating this system"

In the fitting room system and the method for customized service as described above, it is impossible for the consumer to compare the clothes with each other in real time, There were problems in the process of consumers comparing and purchasing clothing in other stores.

Also, in the above-described prior arts, the commercial information providing service system and the operating method of this system can transmit product information or event information of a plurality of stores to a user. However, in order to transmit information of a store, The user has to enter stores and department stores, and the user has a disadvantage in that it only recognizes the information advertised in the stores in a fragmentary manner and receives the information desired by the user.

It is an object of the present invention to solve the problems occurring in the related art as described above, and to analyze the consumption patterns and tastes of users in the offline shops by planning the information collection process of the software based on the flow until the in- To provide customized information to users adjacent to the store, and to establish an efficient system by establishing a system between the offline store and the manufacturer and the distributor.

In order to achieve the above object, the offline fashion / apparel shop sales activation solution according to the present invention includes a user recognition unit for recognizing information of a user upon entry of a user and creating and calling a profile of the user; A body information measuring unit for recognizing the user's body shape information in the called profile; A camera module for recognizing the motion and taking a picture when the fitting of the user is finished; An apparel information separating and storing unit for separately storing information on consumers and clothes in the photographed photographs; A central control unit for grasping a pattern of the clothes based on the user information and the photographed clothes photograph to recommend a user to the user at the store or a nearby store; A display unit for outputting the recognized body information, the photographing screen, clothing information, and the like to the display through the digital signage is connected to the fashion view server, the manufacturer (distributor), and the user terminal And is managed through an administrator.

The user recognition unit may be an iris recognition unit applied to the entrance of the fitting room to recognize the iris of the user's eye when the user enters the fitting room. A fingerprint recognition unit for recognizing the fingerprint when the iris recognition is not easy; And an address recognizing unit for recognizing the user by using a name, a telephone number, and the like. When the user is an initial user, the user registration process is performed.

The user recognition unit performs a customer information analysis process on the recognized user through age group analysis, gender analysis, and purchase pattern analysis, and forms a database.

Wherein the body information measuring unit comprises: an elongation measuring unit using a sensor in a fitting room installed to measure a body shape of a user recognized through a user recognizing unit; The body fat analyzer analyzes the body fat based on the height and weight of the user through the body weight measuring part and the body fat measuring part installed on the floor of the fitting room and measures the body shape of the user using the body part analyzing algorithm.

The body fat measurement unit is provided with a foot-sized electrode unit on the bottom of the fitting room, and the installed electrode unit analyzes the body composition through a bioelectrical impedance analysis (BIA) method to dataize the body shape of the user.

The body shape analyzing algorithm analyzes a height and a width of a user image, and divides the space into A01, A02, and A03 to Z99 to divide the user and the background area in the analyzed image. A body image quantification process for expressing a user's body shape by digitizing a user part of the zone, an information matching process for inferring a user's body shape by comparing digitized image data with a body shape database, Extracting a body shape information from the extracted body shape information, and storing the extracted body shape information in the database.

The camera module photographs the fitting picture through motion recognition, voice recognition, and display touch operation when the user's fitting is finished.

The clothing information separating and storing unit is divided into an identification unit for separating / storing data of an image, a lower recognition unit for separating / storing lower data, and an accessory recognition unit for separating / storing shoes and other accessory data .

The display unit is a panel made up of digital signage, and provides an interface unit to a user, and provides advertisement / promotion when there is no user.

Wherein the interface unit displays the clothes separated through the clothing information separating and storing unit on the display and combines the clothes in a new combination by the user using the separated clothing data; And a virtual fitting unit that can virtually fit clothes that the user has not worn using clothes information registered in the store through the RFID chip and adjust the sizes (S, M, and L) according to the body shape of the body, .

The central control unit stores data collected in the user recognition unit, the body information measurement unit, the camera module, and the clothing information separation / storage unit in a database, provides information to the user, And collects / analyzes clothing information such as color, design, and material, and provides the information to the fashion view server through a network.

The central control unit uses an RFID chip (Radio Frequency Identification Chip) for real-time product management and information collection in a store.

And the central control unit uses a garment type analysis algorithm to collect information of the garment design worn by the user.

The garment type analysis algorithm is a process of analyzing images of garments and dividing a space between A1 and A2 to Z9 for distinguishing between clothing and background in the analyzed image, An image matching process for analogizing the design of clothing by comparing digitized image data with a clothing type database, a clothing information extracting process for extracting a user's clothing taste based on the matched data, And storing the user's clothing information extracted through the process in a database.

And the central control unit uses a color algorithm to collect color information of the clothes worn by the user.

The color algorithm includes a color image data conversion process of analyzing a captured image to produce a data, a color extraction process of extracting colors of the image data, a color grouping process of arranging color information used in the clothing by grouping extracted colors, And a color information extracting step of extracting the color information and determining a color used in the garment, and the extracted color information of the user is stored in the database.

The fashion view server collectively analyzes the collected / analyzed information from the central control unit of the fashion view module installed in each store, and provides the collected information to a manufacturer (distributor) and a user terminal through a network.

The fashion view server collects fashion information of Twitter, Facebook, and portal sites and performs grouping and analysis of keywords based on the data collected in the fashion view module to provide customized analysis data for each store to users and manufacturers (distributors) To the user.

The fashion view server is characterized by being provided with a software upgrade such as a pattern of a user-recognized motion of a camera module by an administrator, an algorithm for analyzing clothing information collected at a central control unit, and hardware maintenance / repair.

The user terminal is connected to the fashion view server through the fashion view APP, and the fashion view APP stores the consumption statistics for each store visited by the user, the history of wearing the clothes worn, And is capable of communicating with acquaintances in cooperation with SNS and text messages.

The fashion view APP includes a product reservation / purchase function of a product desired by the user in real time by grasping the product inventory in the store.

According to the present invention, the offline fashion / clothing store sales activation solution enables the merchant to quickly and broadly manage the data on the clothing items of the store, and the information gathering process of the software based on the flow until the offline store visitors become the customers It is possible to provide merchandise tailored to the customers visiting the store by planning, overcoming the shortcomings of the offline store by linking the information of the user's personal information and providing customized information in real time, and linking information about the product with the manufacturer and distributor It is effective.

1 is a block diagram of a fashion view module of an offline fashion / apparel store sales activation solution of the present invention.
2 is a configuration diagram of the user recognition unit of the present invention.
3 is a block diagram of the body information measuring unit of the present invention.
4 is a configuration diagram of the clothing information separation / storage unit of the present invention.
5 is a configuration diagram of a display unit of the present invention.
6 is an overall block diagram of an offline fashion / apparel store sales activation solution of the present invention.
Fig. 7 is a configuration diagram of a body-part analysis algorithm of the present invention.
FIG. 8 is a configuration diagram of a clothing type analysis algorithm of the present invention.
9 is a block diagram of the color algorithm of the present invention.

Preferred embodiments of the present invention will be described more specifically with reference to the accompanying drawings.

1 is a block diagram of a fashion view module of an offline fashion / apparel shop sales activation solution according to an embodiment of the present invention.

The fashion view of the present invention collectively refers to a system of an offline fashion / apparel sales activation solution.

The fashion view module of the offline fashion / apparel store sales activation solution according to the present invention includes a user recognition unit 10, a body information measurement unit 20, a camera module 30, a clothing information separation / storage unit 40, 50, a database 60, and a display unit 70.

The user recognition unit 10 shown in FIG. 2 includes an entrance of a fitting room of a store; Generally, when a door of a fitting room is installed, the user's identity is recognized when the user enters the fitting room to wear the clothing selected by the user, and the user's information is retrieved.

The user recognition unit 10 includes an iris recognition unit 11 for recognizing a user's iris when entering a fitting room and recognizing the identity of the user; A fingerprint recognition unit 12 for recognizing a user through a fingerprint when recognition of the user through iris recognition is not easy; An address recognition unit 13 for searching registered information using a name and a telephone number if the iris and fingerprint recognition are not easy due to an external factor or performing an initial user registration process when the user has never used the system, And the information is updated by calling a user profile registered in advance when there is a change in the user's body due to a change in the user's recognition.

The user recognition unit 10 performs a customer information analysis process on the recognized user through age group analysis, gender analysis, and purchase pattern analysis, thereby forming a database.

The body information measuring unit 20 shown in FIG. 3 measures the body shape information at the time of fitting to the user's profile recognized through the user recognition unit 10 to shape the body shape of the user, So that they can help you to recommend it.

The body information measuring unit 20 includes an elongation measuring unit 21 for recognizing the elongation of the user by using a camera and a sensor of a display unit 70 installed in the fitting room. A weight measuring unit 22 installed on the floor of the fitting room for measuring the weight of the user; The body fat analyzer 24 analyzes the body fat based on the height and weight of the user through the body fat measuring unit 23 provided on the floor of the fitting room to measure the body fat to provide the body fat data, .

The body fat measurement device of the body fat measurement part 23 roughly includes electrodes for body fat measurement for measuring the living body impedance from a human body and an electric circuit part for signal processing the living body impedance signal received from the electrodes. In the body fat measuring device, it is divided into four points, six points, and eight points according to the number of electrodes contacting the human body.

In general, the electrode for measuring body fat may be formed by attaching a clip-shaped electrode to the wrist or ankle, or attaching a disposable electrode to the left and right wrists, a foot, a back of a hand or the like in combination or attaching a contact type electrode to the left and right palms and soles So that a micro current is applied to the human body and a voltage is measured therefrom to measure the bioelectrical impedance.

The body fat measurement unit 23 is provided with a foot-sized electrode unit on the bottom of the fitting room. The electrode unit analyzes the body composition using bioelectrical impedance analysis (BIA), and the elongation measurement unit 21 ), Analyzing the body shape based on the body fat measured by the body fat measurement unit on the height and the body weight measured by the body weight measuring unit 22, and characterizing the body of the user, which is generally hard to grasp, such as around the waist circumference and the hip circumference .

The body shape analysis algorithm 24 shown in FIG. 7 analyzes a height and an area of a user image, and forms a body image data (A01, A02, A03 through Z99) 241), a body image quantification step 242 for expressing a body shape of a user by digitizing a user part of a region generated through an image data processing step, a step of comparing the digitized image data with a body type database 245, A body information extraction process 244 for extracting a body shape information of a user based on the matched data, and the body shape information extracted by the process is stored in a database 60 .

In order to finely analyze the user's body shape in the process of image data generation (241), it is based on finely dividing the space into A01, A02, and A03 to Z99.

After the wearer wears the clothing in the fitting room, the camera module 30 takes an action designated by the user through the motion recognition of the user, or performs voice recognition of the user and user interface control of the display unit 70, And a photograph of the fitting which is worn by the wearer is photographed.

The clothing information separating and storing unit 40 shown in FIG. 4 separates and stores information on a user and clothes based on photographs of fittings of a user photographed by the camera module 30, And data is provided so as to be newly assembled.

The clothing information separating and storing unit 40 includes a recognizing unit 41 for recognizing and separating / storing data corresponding to an image of a fitting photograph of a user photographed by the camera module 30; A lower recognition unit 42 for recognizing and separating / storing data corresponding to the lower level; And an accessory recognition unit 43 for recognizing and separating / storing shoes and other accessories except for the upper and lower parts.

The central control unit 50 of the fashion view module 130 shown in FIGS. 1 and 6 includes the user recognition unit 10, the body information measurement unit 20, the camera module 30, 40 to the database 60 and provides information to the user through the display unit 70 and transmits the information stored in the database 60 to the fashion view server 80 through the network 120 .

The central control unit 50 collects clothing information such as a brand, a color, a design, and a material of the clothing worn by the user from the clothing information separating and storing unit 40 and links them to the fashion view server 80, It is characterized by comparing and analyzing clothing of nearby shops and recommending clothes that user may prefer and providing information.

The central control unit 50 uses an RFID chip (Radio Frequency Identification Chip) for collecting clothing information of a store, and the RFID chip is attached to a location where products such as goods, boxes, etc. can be identified, Chain Management (SCM). It can be used to manage the product information in the stores that need real-time data. It can not only compensate the barcode limits such as storage capacity and recognition distance, And stores and manages the product list in the fashion view server 80. The user stores the fashion view module 130 and the fashion view APP 101 of the fitting room, The user terminal 100 can confirm the information of the clothing held at the nearby store and if necessary, the information of the clothes is called using the fashion view module 130 to display a virtual image Yonghan virtual fitting to a road characterized in that it enables.

In the above RFID chip, RFID has information on all processes of production, circulation, storage and consumption in a tag attached to a product, and has its own antenna. The reader reads this information and integrates with the information system in connection with the communication network It refers to the activity or chip to be used. It is a technology that uses radio frequency to recognize tags attached to objects or persons distant from several centimeters to tens of meters, and to exchange information from tags.

The RFID operation principle is as follows. RFID tags are used to input information according to the purpose. The inputted RFID tag is attached to a product, a box, a pallet, etc., and a frequency emitted from a reader installed at a gate / POS is brought into contact with the RFID tag. The RFID tag responds to the frequency and transmits the input data to the antenna. The antenna modulates the transmitted data and transmits it to the reader. The reader decodes the data and transmits it to the host computer.

Comparison of characteristics by media division barcode Magnetic card IC card RFID Recognition method Contactless Contact type Contact type Contactless Recognition distance 0 ~ 50cm Insert in Reader Insert in Reader 0 ~ 27m Recognition speed 4 seconds 4 seconds 1 second 0.01 to 0.1 second Recognition rate 95% or less 99.9% or more 99.9% or more 99.9% or more Permeability impossible impossible impossible possible Period of use impossible Within ten thousand (four years) 10,000 times (5 years) 100,000 times (60 years) Data storage 1 to 100 bytes 1 to 100 bytes 16 to 64 kbytes 64kbyte or less Write function impossible possible possible possible Damage rate Very frequent Frequent Frequent Almost none Tag Cost Cheapest cheap height usually Security capability Almost none Almost none Not reproducible Not reproducible recycle impossible impossible possible possible

As shown in Table 1, RFID has several characteristics. Unlike bar codes, RFID uses radio waves, unlike bar codes that read using light. It is not only operating at short distances, it can read tags from a distance, and can receive information through objects.

The characteristics of RFID can be seen in various ways. First, RFID can store as much data as can be compared with existing wireless recognition systems. Secondly, it is possible to recognize several tags at a high speed at the same time, thereby saving the cost of waiting and allowing information to be transmitted through objects. Third, it is non-contact type, so it can be used in harsh outdoor environment. Fourth, RFID is excellent in durability and can be used semi-permanently for long life. It is capable of real-time inventory identification and location tracking because it can be recognized while moving. Finally, replication and tampering / tampering are difficult, enabling the use of security and activation features.

The central control unit 50 uses a clothing type analysis algorithm 51 to collect information on the clothing design worn by the user.

The garment type analysis algorithm 51 shown in Fig. 8 includes a garment image data conversion process 511 for analyzing images of garments and dividing a space into A1 and A2 to Z9 for distinguishing between clothing and background in an analyzed image, An image matching process 513 for comparing the digitized image data with the clothing type database to infer the design of the clothes, and the image matching process 513 for comparing the digitized image data with the clothing type database. And an apparel information extracting process 514 for extracting clothes taste of the user based on the matched data. The apparel information of the user extracted through the process is stored in the database 60.

The central control unit 50 uses a color algorithm 52 to collect color information of the clothes worn by the user.

The color algorithm 52 shown in FIG. 9 includes a color image data conversion process 521 for analyzing a captured image to produce a data, a color extraction process 522 for extracting colors of the image data, And a color information extraction process 524 for extracting the color information and determining a color used in the garment. The extracted color information 524 may include a color information And stores the color information in the database (60).

The display unit 70 shown in FIG. 5 is a panel made up of digital signage. The display unit 70 implements the above process on a display and provides an interface unit 72 that can be operated by a user. If there is no user, Or an advertisement / promotion 71 function for providing advertisement or the like through digital signage.

The interface unit 72 displays the clothes separated through the clothing information separating and storing unit 40 on the right side of the display, and the actual clothing data can be combined with the clothes that the user has not worn using the separated clothes data on the right side And provides a fitting portion 73 screen.

In addition, the clothes that are not worn by the user can be virtually fitted using the clothing information in the store registered in the fashion view server 80 via the RFID chip, and the size (S, M, L And the like, and provides a virtual fitting portion 72 capable of photographing fittings.

The network 120 includes a central control unit 50 of the fashion view module 130, a fashion view server 80, a user terminal 100 and a manufacturer (distributor) 90 and a 3G, 4G, LTE, wifi, bluetooth And an Internet network.

The fashion view server 80 collects fashion information on Twitter, Facebook, and portal sites, performs keyword grouping and analysis on the basis of data collected in the fashion view module 13, And a manufacturer (distributor).

The present invention according to the entire configuration diagram of the offline fashion / apparel shop sales activation solution shown in FIG. 6 associates user data collected through the fashion view module 130 in each store with the fashion view server 80, And transmits the data to the user terminal 100 through the fashion view APP 101. The data is also sold to a manufacturer (distributor) 90 or provided by a customer for clothing, It is characterized by being able to help the manufacturer (distributor) to analyze and provide the clothing item desired by the consumer.

The fashion view server 80 includes a software updater such as a pattern of a user-recognized motion of the camera module 30 by the manager 110, an algorithm for analyzing clothing information collected by the central controller 50, Maintenance is provided.

While the present invention has been particularly shown and described with respect to preferred embodiments thereof, it should be understood that the scope of the appended claims is not limited to the illustrated embodiments. And determined. It will be apparent to those skilled in the art that various changes and modifications can be made by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

10:
11: iris recognition unit 12: fingerprint recognition unit
13: address recognition section
20: Body information measuring unit
21: height measuring unit 22: weight measuring unit
23: body fat measurement part 24: body shape analysis algorithm
241: Body image data conversion 242: Body image quantification
243: Information matching 244: Body shape information extraction
245: body type database
30: Camera module
40: Clothing information separation / storage unit
41: image recognition unit 42:
43: Accessory recognition unit
50:
51: Clothing type analysis algorithm 511: Apparel image dataization
512: Apparel image quantification 513: Image matching
514: Clothing information extraction 515: Clothing type database
52: Color algorithm 521: Color image dataization
522: Color Extraction 523: Color Grouping
524: Color information extraction
60: Database
70:
71: Advertisement / Promotion 72: Interface part
73: Actual fitting portion 74: Virtual fitting portion
80: fashion view server
90: Manufacturer (distributor)
100: user terminal 101: fashion view APP
110: Manager
120: Network
130: Fashion view module

Claims

A user recognition unit 10 for recognizing information of a user upon entering the user and creating and calling a profile of the user;
A body information measuring unit 20 for recognizing the user's body shape information in the called profile;
A camera module (30) for recognizing the motion and taking a picture when the fitting of the user is finished;
An apparel information separating and storing unit (40) for separately storing information on consumers and clothes in the photographed photographs;
A central control unit (50) for recognizing the pattern of the clothes based on the user information and the photographed clothes photograph and recommending the user to the store or the clothes of the nearby shops;
The display unit 70, which outputs the recognized body information, the photographed image, the clothing information, and the like to the display through the digital signage, constitutes the fashion view module 130 to form the fashion view server 80, (Distributor) 90 and the user terminal 100, and is managed through the manager 110. The offline-style fashion /

[6] The apparatus of claim 1, wherein the user recognition unit (10) comprises: an iris recognition unit (11) which is applied to an entrance of a fitting room and recognizes an iris of a user's eye when the user enters a fitting room;
A fingerprint recognizing unit (12) for recognizing iris recognition through a fingerprint when the iris recognition is not easy;
And an address recognizing unit (13) for recognizing the user by using a name, a telephone number, and the like. When the user is an initial user, a user registration process is performed.

The method according to claim 1, wherein the user recognition unit (10) performs a customer information analysis process on the recognized user through age group analysis, gender analysis, and purchase pattern analysis, solution.

The body-information measuring unit 20 according to claim 1, wherein the body-information measuring unit 20 comprises: an elongation measuring unit 21 using a sensor inside a fitting room installed to measure a body shape of the user recognized through the user recognizing unit 10;
The user's body shape is measured by analyzing the body fat based on the height and weight of the user through the body weight measuring unit 22 and the body fat measuring unit 23 provided on the floor of the fitting room, Offline fashion / clothing store sales activation solution.

[3] The body fat measurement unit according to claim 1, wherein the body fat measurement unit (23) is provided with a foot size electrode unit on the bottom of the fitting room, and the body part of the body part is analyzed by a bioelectrical impedance analysis (BIA) To-date fashion / clothing store sales activation solution.

2. The offline fashion / clothing store sales activation solution according to claim 1, wherein the camera module (30) photographs a fitting picture through operation through motion recognition, speech recognition, and display touch when the user's fitting is finished.

[2] The apparatus of claim 1, wherein the clothing information separating and storing unit (40) comprises: a recognizing unit (41) for separating / storing data of clothing,
A lower recognition section 42 for separating / storing lower data;
And an accessory recognition unit (43) for separating / storing shoes and other accessory data.

The display device according to claim 1, wherein the display unit (70) is a panel made of digital signage, and provides an interface unit (72) to the user and provides an advertisement / promotion (71) Clothing store sales activation solution.

The central control unit 50 controls the central control unit 50 to transmit data collected by the user recognition unit 10, the body information measurement unit 20, the camera module 30 and the clothing information separation and storage unit 40 to the database 60 ), Provides information to the user, collects / analyzes clothing information such as the brand information, the color, the design, and the material of the clothing worn by the user, and provides the information to the fashion view server 80 through the network Features an off-line fashion / clothing store sales activation solution.

2. The offline fashion / clothing store sales activation solution according to claim 1, wherein the central control unit (50) uses an RFID chip (Radio Frequency Identification Chip) for real time product management and information collection in the store.

The fashion view server (80) according to claim 1, wherein the fashion view server (80) integrates and analyzes the information collected / analyzed by the central control unit (50) of the fashion view module (130) (120) to the terminal (100) via the network (120).

The fashion view server (80) according to claim 1, wherein the fashion view server (80) comprises a software updater such as a pattern of a user-recognized motion of the camera module (30) and an algorithm for analyzing clothing information collected by the central controller And hardware maintenance / repair are provided.

The fashion view server (80) according to claim 1, wherein the fashion view server (80) collects fashion information of Twitter, Facebook, and portal sites and performs grouping and analysis of keywords based on data collected from the fashion view module (130) An offline fashion / clothing store sales activation solution featuring custom analytics to users and manufacturers (distributors).

3. The offline fashion / clothing store sales activation solution as claimed in claim 1, wherein the central control unit (50) utilizes a clothing type analysis algorithm (51) to collect information of the clothing design worn by the user.

3. The offline fashion / clothing store sales activation solution as claimed in claim 1, wherein the central control unit (50) uses a color algorithm (52) to collect color information of the wearer's clothing.

[4] The method according to claim 4, wherein the body shape analysis algorithm (24) analyzes the height and the width of the user image, and divides the space into A01, A02, and A03 to Z99 Step 241;
A body image quantification process (242) for expressing a user's body shape by digitizing a user part of a zone generated through an image data process;
An information matching step (243) of comparing the digitized image data with the body type database to infer the body shape of the user;
And a body information extracting step (244) of extracting body shape information of the user based on the matched data, and the body shape information of the user extracted through the process is stored in the databit (60) / Clothing store sales activation solution.

[8] The apparatus according to claim 8, wherein the interface unit (72) displays clothes separated through the clothing information separation / storage unit (40) 73); A virtual fitting portion 74 for fitting clothing that is not worn by the user using the clothing information in the store registered through the RFID chip and adjusting the size (S, M, L) according to the body shape of the body, Wherein the offline fashion / clothing store sales activation solution is provided.

The user view terminal according to claim 11, wherein the user terminal (100) is connected to the fashion view server (80) through a fashion view APP (101) It provides a recommended product for each user's taste analyzed through history and algorithms, and is able to communicate with the acquaintances in conjunction with SNS and text messages.

[Claim 15] The method according to claim 14, wherein the clothing type analysis algorithm (51) comprises: an apparel image data acquisition process (511) for analyzing images of the clothes and dividing the space into A1 and A2 to Z9 for distinction between clothes and background in the analyzed images;
A garment image digitizing process (512) for collecting garment data by digitizing a garment portion of a zone generated through an image dataizing process;
An image matching process 513 for comparing the digitized image data with the clothing type database to infer the design of the clothing;
An apparel information extracting step (514) of extracting clothes taste of the user based on the matched data; And stores the user's clothing information extracted through the process in the database (60).

[Claim 15] The method of claim 15, wherein the color algorithm (52) comprises: a color image data conversion process (521) for analyzing and digitizing the photographed image;
A color extraction process 522 for extracting a color of the data image;
A color grouping step (523) of arranging color information used in the clothes through grouping of the extracted colors; A color information extracting step (524) of extracting the sorted color information and determining a color used in the garment; And stores the extracted color information of the user in the database (60). &Lt; RTI ID = 0.0 > [10] < / RTI >

[Claim 17] The offline fashion / apparel store sales activating solution according to claim 17, wherein the fashion view APP (101) includes a function of reserving / purchasing goods desired by the user in real time while grasping the product stock in the store.