KR101859719B1 - A Cosmetic Surgery Platform System for Connecting Online and Offline Needs Based on Deep Running Algorithm - Google Patents

Abstract

The present invention relates to a molding platform system of an on-line and off-line linkage structure based on a deep learning algorithm. More particularly, the present invention analyzes selection of a medical institution according to a molding specialty site and a demand for molding of a customer based on a deep learning algorithm, To a forming platform system of on-line and off-line linked structures based on a deep learning algorithm. The forming platform system of the on-line and off-line linked structures based on the deep learning algorithm includes a search unit 121 for connecting the medical institutions S1 to SN or searching for information on the medical institutions S1 to SN; A retrieval unit 123 for retrieving information about the medical institutions (S1 to SN) searched in the search unit 121; A specialty site unit 122 for determining a molding specialty site of the medical institution S1 to SN based on the information transmitted to the search unit 123; A relay platform (11) for processing the information searched in the search unit (121); A connection unit 131 for connecting the customers (C1 to CK) through wired or wireless communication; A characteristic search unit 133 for searching for the characteristics of the customers (C1 to CK) based on the information obtained from the customers (C1 to CK) connected in the connection unit (131); And a matching unit (132) for determining a molding model corresponding to the characteristics of the customers (C1 to CK) based on the information retrieved in the characteristic retrieval unit (133) And relays the medical institutions (S1 to SN) searched by the search unit (121) according to the information.

Description

[0001] The present invention relates to an on-line and off-line coupled molding platform system based on a deep learning algorithm,

The present invention relates to a molding platform system of an on-line and off-line linkage structure based on a deep learning algorithm. More particularly, the present invention analyzes selection of a medical institution according to a molding specialty site and a demand for molding of a customer based on a deep learning algorithm, To a forming platform system of on-line and off-line linked structures based on a deep learning algorithm.

Cosmetic surgery refers to surgery that surgically corrects or restores the body to improve deformation or beauty of the body due to injury or congenital anomaly. Molding can be done by a professional medical institution, but in the case of cosmetic or appearance enhancement, it can be done by a nonprofessional medical institution. However, as the demand for cosmetic or appearance improvement for such a beauty or appearance improves, various problems such as a surge of illegal relay fee due to overheating of competition, overcharging of medical expenses, damage due to molding side effect or dissatisfaction with molding result are appearing. Especially, when the customer is not satisfied with the result of the molding or the side effect due to the plastic surgery is directly related to the human body, it can cause a serious problem. Therefore, a linkage system that can solve this problem needs to be developed.

Patent Publication No. 10-2011-0087809 discloses a method of analyzing serial information of a first application that is driven offline to determine whether the first application is a genuine product, and when the first application is a genuine product, And an online and offline application interworking method and apparatus for providing available information in a second application driven on-line according to coupon information generated when the first application is executed by issuing matching information available at the time of execution.

Patent Registration No. 10-1523494 discloses a system and method for verifying payment settlement generated between online and offline user terminal units and a payment settlement agency when a payment settlement request is made on-line and off-line through a user terminal unit, An online and offline mobile payment relay validation system and method for determining payment of a user's final approval for payment and requesting a payment settlement agency to make a payment settlement.

Although the prior art discloses a method of performing activation or payment authentication while linking online and offline, a method of linking online and offline users and suppliers in an appropriate condition while linking online and offline Is not disclosed.

The present invention has been made to solve the problems of the prior art and has the following purpose.

Prior Art 1: Patent Publication No. 10-2011-0087809 (published by Nexon Korea Co., Ltd., August 03, 2011) Online and offline application interworking device and method Prior Art 2: Patent Registration No. 10-1523494 (Secuve Inc., May 28, 2015) Online and offline mobile payment relay verification system and method

An object of the present invention is to provide a method and apparatus for detecting and storing characteristics of a specialized medical institution related to molding of a specific site and analyzing and determining an appropriate molding pattern on the basis of customer information based on a deep learning algorithm, To provide a molding platform system of on-line and off-line coupled structures based on a deep-running algorithm.

According to a preferred embodiment of the present invention, a forming platform system of on-line and off-line associative structures based on a deep learning algorithm is provided with a search unit for accessing or searching for information about a medical institution; A retrieval unit for retrieving information on the medical institution searched in the search unit; A specialty site unit for determining a molding specialized site of the medical institution based on the information transmitted to the search unit; A relay platform for processing the information searched in the search unit; A connection unit to which a customer connects via wired or wireless communication; A characteristic retrieval unit for retrieving a characteristic of a customer based on information acquired from a customer connected at the connection unit; And a matching unit for determining a molding model matching the characteristics of the customer based on the information retrieved from the characteristic retrieving unit, and the relaying platform relays the retrieved medical institution in the retrieving unit according to the information transmitted from the connecting unit.

According to another preferred embodiment of the present invention, the specialized site unit includes a pattern extracting unit for extracting the molding pattern of the medical institution and a feature extracting unit for extracting and classifying the molding feature in the extracted molding pattern, Is transmitted to and processed in the special character classification unit, and a customer pattern suitable for the medical institution is determined by the matching customer pattern determination unit.

According to another preferred embodiment of the present invention, the matching unit further includes a taste extracting unit for extracting a taste of the customer from the customer's information and a pattern determining unit for determining a forming pattern according to the extracted taste.

The shaping platform system according to the present invention allows offline customers and medical institutions to be connected online and automatically selects a medical institution suited to the requirements of the customer. In addition, the forming platform system according to the present invention allows the customer to be able to confirm the molding result and the problems therefrom through various information, thereby enhancing the customer's satisfaction. In addition, the molding platform system according to the present invention prevents the occurrence of side effects on molding by making it possible to perform operations from a specialized medical institution for each molding site.

Figure 1 shows an embodiment of a forming platform system according to the invention.
FIG. 2 illustrates an embodiment of a process of selecting a specialized medical institution in a forming platform according to the present invention.
FIG. 3 illustrates an exemplary process in which a customer's conditions are processed in a forming platform according to the present invention.
FIG. 4 shows an embodiment of a process of connecting a customer and a specialized medical institution in a forming platform according to the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail with reference to the embodiments shown in the accompanying drawings, but the present invention is not limited thereto. In the following description, components having the same reference numerals in different drawings have similar functions, so that they will not be described repeatedly unless necessary for an understanding of the invention, and the known components will be briefly described or omitted. However, It should not be understood as being excluded from the embodiment of Fig.

1 shows an embodiment of a forming platform system 10 according to the present invention.

Referring to Fig. 1, the forming platform system 10 includes a search unit 121 that connects to the medical institutions S1 to SN or searches for information on the medical institutions S1 to SN; A retrieval unit 123 for retrieving information about the medical institutions (S1 to SN) searched in the search unit 121; A specialty site unit 122 for determining a molding specialty site of the medical institution S1 to SN based on the information transmitted to the search unit 123; A relay platform (11) for processing the information searched in the search unit (121); A connection unit 131 for connecting the customers (C1 to CK) through wired or wireless communication; A characteristic search unit 133 for searching for the characteristics of the customers (C1 to CK) based on the information obtained from the customers (C1 to CK) connected in the connection unit (131); And a matching unit (132) for determining a molding model corresponding to the characteristics of the customers (C1 to CK) based on the information retrieved in the characteristic retrieval unit (133) And relays the medical institutions (S1 to SN) searched by the search unit (121) according to the information.

The forming platform system 10 according to the present invention may have an O2O (online to offline) platform structure in which the clients C1 to CK are connected online to provide services of off-line specialized medical institutions S1 to SN have. Connection to the forming platform system 10 may be via various means of connection including the Internet. Professional medical institutions (S1 to SN) or customers (C1 to CK) can be connected to the forming platform system 10 through mobile devices such as, for example, smart phones, portable tablets, personal computers or similar wireless or wired communications .

The forming platform system 10 may have various computer server architectures known in the art capable of processing and storing data. The relay platform 11 may have a function of providing services for customers (C1 to CK) while functioning as a central processing unit in the forming platform system 10. [ The overall operation of the forming platform system 10 can be controlled by the relay platform 11. [

The search unit 121 may have a function of searching for the specialized medical institutions S1 to SN related to the molding to obtain information or acquiring information by processing the connection of the medical institutions S1 to SN. The information obtained by the search unit 121 may be transmitted to the search unit 123 and the search unit 123 may search the medical institutions S1 to SN based on the obtained information. The retrieval can be accomplished through various information acquisition paths such as, for example, the Internet, a medical institution, or an offline professional institution. For example, the search may be performed through a big data server, and the retrieved data may be filtered and classified and stored. Then, the specialty site unit 122 can determine and store the molding specialty site for each medical institution (S 1 to SN) based on the information retrieved from the retrieval unit 123. In addition, the specialty site unit 122 may determine various specialized sites for the formation and request the search unit 121 to search for the relevant specialty healthcare institution. And stored in the forming database 111.

The customers (C1 to CK) who desire to be formed can connect to the relay platform (11) via the connection unit (131). The connection unit 131 can acquire information on the connected customer and can be searched by the property search unit 133 based on the acquired information. The characteristic retrieved by the characteristic retrieving unit 133 means a characteristic for a forming part preferred by the customers (C1 to CK) based on age, sex, area, current appearance, taste or the like. The characteristic search unit 133 can search for a plurality of preferred molding characteristics based on the information of the customers C1 to CK. The matching unit 132 can determine the characteristics that match the requirements of the customers (C1 to CK) based on the found molding characteristics. The matching unit 132 can determine the matching level for the searched characteristics and the customers (C1 to CK), and can determine the matching level for the plurality of characteristics. And the relay platform 11 may store it in the customer database 112. The relay platform 11 may send the matching level to the relay platform 11, And can relay the customers (C1 to CK) stored in the respective customer databases 112 from the professional medical institutions (S1 to SN) stored in the molding database 111. [ The relays of the clients (C1 to CK) and the specialized medical institutions (S1 to SN) can be performed in various ways and can be performed automatically according to a predetermined method. For example, the matching level determined by the matching unit 132 and the specialty site unit 122 may be connected to search and relay the medical institutions S1 to SN suitable for the customers C1 to CK.

The customers (C1 to CK) and the medical institutions (S1 to SN) can be connected in various ways, and the present invention is not limited to the embodiments shown.

FIG. 2 illustrates an embodiment of a process of selecting a specialized medical institution in a forming platform according to the present invention.

2, the search unit 121 includes a data collecting unit 211 for collecting data on the medical institution S and a specialization classification system for classifying the molding specialty and molding characteristics of the collected medical institution S, Unit 212, as shown in FIG. The data acquisition unit 211 may collect information about all the medical institutions S that can be formed. And information about the collected medical institution (S) may be transmitted to the professional character classification unit (212) together with information retrieved by the retrieval unit (123). The retrieving unit 123 includes a specializing unit 231 for retrieving information from a specialized institution, an Internet unit 232 for collecting general information via the Internet, and an evaluation unit 233 having evaluation information for the medical institution S . When information on the special unit 231, the internet unit 232 and the evaluation unit 233 is transmitted to the data collection unit 211, the data collection unit 211 transmits the collected information together with the collection basis to the professional character classification unit 212).

The data acquisition unit 211 may also transmit the collected information to the specialty site unit 122. [ The specialty site unit 122 includes a pattern extracting unit 221 for analyzing the molding progress pattern for the medical institution S from the collected information, a pattern database 222 for storing information on various molding patterns, and a pattern extracting unit And a feature extracting unit 223 for extracting a feature based on the information extracted by the extracting unit 221. [ The feature extracted from the feature extracting unit 223 can be transmitted to the expert feature classification unit 212 and used as a reference for classifying the characteristics of the medical institution S. [

According to the present invention, a deep running algorithm may be applied in the process of extracting patterns and features from the specialized site unit 122. Specifically, a pattern in which plastic surgery is performed in various medical institutions S can be determined. The pattern can be determined according to the molding site, and information about the plastic surgery progression pattern can be collected from the big data server or other search. A common element can be searched for the patterns of the collected plastic surgery process, and the pattern classification can be performed, which can be a preprocessing process for pattern search. A common feature can then be searched from a plurality of patterns classified to form a feature map. For example, when a pattern is determined according to a molding operation time, a common feature for different treatment time patterns is searched, and common features such as region and overvalue can be searched. A common feature according to different patterns can be searched to create a feature map. Thereafter, the new medical institution S is searched to classify the patterns according to the feature maps, and it can be verified whether the patterns classified again are correct or not. At the same time, new features can be searched if validated. When the pattern is classified in this way and the feature is extracted and transmitted to the feature classification unit 212, the feature classification unit 212 can verify it based on the information transmitted to the data collection unit 211. [ When the molding site, the cosmetic surgery pattern and the characteristics are determined, the verified result can be transmitted to the professional character level determining unit 24. The professional characterization level determination unit 24 can determine the professional characterization level based on indicators such as expertise, price, recovery level, occurrence of side effects, customer evaluation or treatment environment for the molding site. When the level of expertise for each medical institution S is determined, information on this can be transmitted to the matching customer pattern determination unit 25. [ The matching customer pattern determination unit 25 may have information on the pattern of the customer and an appropriate customer pattern may be determined based on the information transmitted from the specialty level determining unit 24 to determine the virtual customer. When a customer having a characteristic suitable for a virtual customer accesses the relay platform, information on the medical institution S can be provided to the customer. The characteristic level and matching virtual customer pattern for the medical institution S can be stored in the connection characteristic storage unit 26. [ The connection property storing unit 26 may be data for searching for a suitable medical institution S for the connected customer. To this end, customer patterns and characteristics need to be determined.

FIG. 3 illustrates an exemplary process in which a customer's conditions are processed in a forming platform according to the present invention.

Referring to FIG. 3, when the customer C connects to the connection unit, information about the customer can be acquired and can be displayed on the display unit of the customer, such as age, sex, molded part, taste, preferred music, Information can be obtained. The customer pattern can be searched by the characteristic search unit 133 when information on the customer C is obtained. The feature search unit 133 may include a general pattern unit 331 generally preferred by the customer C and a fashion pattern unit 332 preferred by fashion according to area or time. Each pattern may be retrieved and transmitted to the pattern data collection unit 31 and the pattern data collection unit 31 may transmit the retrieved pattern and information about the customer C to the matching unit 132. [ The matching unit 132 includes a taste extracting unit 321 for extracting the taste of the customer based on the information about the customer C and the retrieved pattern and a pattern determining unit 322 for determining the customer's preferred forming pattern from the extracted taste ). The information of the pattern data acquisition unit 31 is transferred to the model selection unit 34 and at the same time the pattern determined by the pattern determination unit 322 can be transmitted to the model selection unit 34. [ The model selecting unit 34 can determine a model suitable for the determined pattern by referring to the model database 341 storing the data storing the data of various molding models and transmit the determined model to the pattern model combining unit 35. [ Then, the pattern model combining unit 35 can search for a possible forming model to the customer C while combining the pattern and the model. In this process, the pattern model combining unit 35 can search for a possible forming model to the customer C by applying the deep running algorithm described above. And the search result may be transmitted to the molding result generating unit 36. [ The molding result generating unit 36 can image the molding results in a 2D or 3D model, and can generate a plurality of images. And transmit the generated image to the preference match degree unit 37. [ The liking match degree unit 37 can determine the level reflected in the preference of the customer C and at the same time select the recommendation model and transmit it to the customer C. [ The customer C can select one molding image from the transferred molding image and accordingly the medical institution stored in the matching customer pattern determination unit in which the data on the virtual customer is stored as described above can be selected as the medical institution for molding have.

The pattern or taste extraction for customer C and thus the shaping image determination can be done in a variety of ways, and the invention is not limited to the embodiments shown.

FIG. 4 shows an embodiment of a process of connecting a customer and a specialized medical institution in a forming platform according to the present invention.

Referring to FIG. 4, a method of connecting a customer with a professional medical institution through a molding platform includes searching for a specialized medical institution (P41); A step (P42) of searching for and determining a molding specialty site for the searched specialized medical institution, and determining a level of plastic surgery of the specialized medical institution; A step (P43) in which information of a customer connecting to the forming platform is collected; Determining a customer taste based on the collected customer information (P44); A step (P45) in which molding patterns of various customers for molding are determined; A step (P46) of combining a taste and a forming pattern to select a suitable forming pattern in the customer; The model data is retrieved from the molding model database according to the selected molding pattern to determine a molding model for the customer (P47); A step (P48) in which a medical institution matching the determined molding model is determined; Determining a customer's satisfaction range for the determined molding model and the medical institution (P49); A step P50 of determining a molding progression according to the determination result; And a step P51 of storing the customer's characteristic and pattern data.

The connection between the customer and the specialized medical institution can be initiated by the customer connecting to the molding platform via wired or wireless communication and transmitting the molding instructions. The molding platform can search for information on various medical institutions in advance (P41), and determine and store the level of cosmetic surgery (P42). The customer can access the molding platform through wired or wireless communication to collect customer information (P43), and determine the customer's taste based on the collected information (P44). In addition, the molding platform can retrieve and store information on generally preferred molding patterns and fashionable molding patterns (P45), and can collect customer preferences in advance and combine them with stored patterns (P46). Then, the molding model can be selected from the pre-stored molding model database (P47). In this process, the deep running algorithm described above is applied, and a molding model suitable for the customer can be formed.

The satisfaction level of the customer can be determined by transmitting the image of the molding model to the customer (P49), and if the satisfaction level of the customer is low (NO), the pattern and taste combination process (P46) have. On the other hand, if the customer is satisfied (YES), the molding schedule can be determined (P50). Pattern data of the customer's taste or characteristics can be stored (P51) and stored in other customers.

Such a connection for a customer and a process for creating a molding image and accordingly a molding operation schedule can be automatically performed by the molding platform.

The shaping platform system according to the present invention allows offline customers and medical institutions to be connected online and automatically selects a medical institution suited to the requirements of the customer. In addition, the forming platform system according to the present invention allows the customer to be able to confirm the molding result and the problems therefrom through various information, thereby enhancing the customer's satisfaction. In addition, the molding platform system according to the present invention prevents the occurrence of side effects on molding by making it possible to perform operations from a specialized medical institution for each molding site.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention . The invention is not limited by these variations and modifications, but is limited only by the claims appended hereto.

10: forming platform system 11: relay platform
24: professional characteristic level determining unit 25: matching customer pattern determining unit
26: connection characteristic storing unit 31: pattern data collecting unit
34: Model selection unit 35: Pattern model combination unit
36: molding result producing unit 37: taste matching unit
111: forming database 112: customer database
121: search unit 122: professional site unit
123: search unit 131: connection unit
132: matching unit 133: characteristic search unit
211: data acquisition unit 212: professional character classification unit
221: pattern extracting unit 222: pattern database
223: Feature extraction unit 231:
232 Internet unit 233 Evaluation unit
321: Flavor extraction unit 322: Pattern determination unit
331: general pattern unit 332: fashion pattern unit
341: Model database C, C1 to CK: Customer
S, S1 to SN: Medical institution

Claims (3)

A search unit 121 that connects to the medical institutions S1 to SN or searches for information on the medical institutions S1 to SN;
A retrieval unit 123 for retrieving information about the medical institutions (S1 to SN) searched in the search unit 121;
A specialty site unit 122 for determining a molding specialty site of the medical institution S1 to SN based on the information transmitted to the search unit 123;
A relay platform (11) for processing the information searched in the search unit (121);
A connection unit 131 for connecting the customers (C1 to CK) through wired or wireless communication;
A characteristic search unit 133 for searching for the characteristics of the customers (C1 to CK) based on the information obtained from the customers (C1 to CK) connected in the connection unit (131); And
And a matching unit (132) for determining a molding model that matches the characteristics of the customers (C1 to CK) based on the information retrieved from the characteristic retrieval unit (133)
The relay platform relays the medical institutions (S1 to SN) searched in the search unit (121) according to the information transmitted from the connection unit (131)
The specialty site unit 122 includes a pattern extracting unit 221 for extracting a molding pattern of the medical institutions S1 to SN by applying a deep learning algorithm and a feature extracting unit 221 for extracting and classifying molding features in the extracted molding pattern, (223), the information of the feature extracting unit (223) is transmitted to and processed in the expert property classification unit (212)
The expert characteristic classification unit 212 transmits the verification results of the patterns and features classified by the pattern extraction unit 221 and the feature extraction unit 223 to the expert property level determination unit 24, The characteristic level determination unit 24 determines the level of expertise for each medical institution (S1 to SN) based on the index including the expertise, price, recovery level, occurrence of side effects, customer evaluation, And,
The matching customer pattern determination unit 25 determines a customer pattern suitable for the medical institutions S1 to SN based on the information transmitted from the expertise level determining unit 24, And a forming platform system of an offline linkage structure. delete The matching unit 132 according to claim 1, wherein the matching unit 132 includes a liking extracting unit 321 for extracting a taste of a customer from the information of the customers (C1 to CK), and a pattern determining unit 322 for determining a forming pattern according to the extracted taste Deformed running algorithms based on the on-line and off-line structure of the forming platform system.

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