KR20210101146A - System and method for providing services for artificial intelligence-based fashion design education and support for the start-up of fashion items - Google Patents

Abstract

A method of providing AI-based fashion design education and startup support service according to an embodiment of the present invention comprises the steps of: subscribing a the curriculum service corresponding to the age or learning difficulty after executing a fashion design education service platform in a member terminal; performing online submission of images and production intentions for fashion design products and production processes in which fashion design knowledge learned in a step-by-step learning process of the registered curriculum at the member terminal is reflected; analyzing the images of the fashion design products and the production processes by using an AI analysis algorithm in a platform management server, detecting an image area that reflects the knowledge or skills or characteristics related to the academic content introduced in the corresponding curriculum, and evaluating and grading the understanding of the curriculum through a combination of detected image regions; and providing the member terminal with a curriculum in which the difficulty of the class is adjusted according to the level of understanding. Systematic training can be provided.

Description

Artificial intelligence-based fashion design education and start-up support service providing method and system {System and method for providing services for artificial intelligence-based fashion design education and support for the start-up of fashion items}

The present invention relates to a method and system for providing AI-based fashion design education and startup support services.

The continuous growth of domestic and foreign convergence digital contents industry and the role of technology convergence growth engine industry is increasing. Accordingly, there is a need for nurturing and nurturing talents who can creatively converge science and technology with art.

Recently, the meeting of science and technology and IT technology and design education creates a dazzling synergy effect and creates a new market. It is creating and developing a new market for the digital fashion industry as a new field of the creative economy. It is necessary to develop convergence-type educational programs to enter the new market of the digital fashion content market.

Laid-Open Patent Publication No. 10-2016-0082761

An object of the present invention is to provide a method and system for providing artificial intelligence-based fashion design education and startup support services that can solve conventional problems.

The method for providing AI-based fashion design education and start-up support service according to an embodiment of the present invention for solving the above problems is a curriculum service corresponding to age or learning difficulty after executing a fashion design education service platform in a member terminal. to join; online submission of images and production intentions for fashion design products and production processes in which fashion design knowledge learned in the step-by-step learning process of the registered curriculum at the member terminal is reflected; The platform management server analyzes the image of the fashion design product and production process using AI analysis algorithm to detect the image area reflecting the knowledge or skills or characteristics related to the academic content introduced in the curriculum, and the combination of the detected image areas evaluating and grading the understanding of the curriculum; and providing, to the member terminal, a curriculum in which the difficulty of the class is adjusted according to the level of understanding.

The method for providing AI-based fashion design education and start-up support service according to an embodiment of the present invention for solving the above problems is to use a fashion design education service platform to subscribe to a fashion design curriculum service corresponding to age or learning difficulty, and , member terminals that submit online images and production intentions of fashion design products and production processes that reflect fashion design knowledge learned in the step-by-step learning process of the subscribed fashion design curriculum; and AI analysis algorithm to analyze the image of the fashion design product and production process to detect the image area reflecting the knowledge or skills or characteristics related to the academic content introduced in the curriculum, and to detect the image area through the combination of the detected image areas It includes a platform management server that evaluates and grades the degree of understanding of and provides a curriculum whose difficulty is adjusted according to the degree of understanding to the member terminal.

By using the artificial intelligence-based fashion design education and business start-up support service providing method and system according to an embodiment of the present invention, anyone, regardless of age or gender, can receive systematic education in fashion design education and start-up to those interested in the field of fashion design. There is an advantage that you can.

In addition, according to the present invention, the degree of knowledge application can be evaluated through an artificial intelligence algorithm for works produced using the knowledge of the curriculum, and furthermore, the degree of distortion of the knowledge provided by the curriculum and the knowledge to be corrected. And there is an advantage that the direction of production can be judged through the produced work.

In addition, according to the present invention, after learning information about the unique features of designs and products released by various role models (fashion department professors, producers, designers) in the field of fashion design through a machine learning learning algorithm, fashion By providing a curriculum that reflects the knowledge of the characteristics of the role models selected by the students participating in the design education, it provides the advantage of being able to broaden the students' educational choices.

In addition, according to the present invention, by providing information on startups in the fashion field for students who have completed the fashion design curriculum, the advantage of being able to support educational services for the entire process from fashion design education to startups is have.

1 is a network configuration diagram of an artificial intelligence-based fashion design education and startup support service providing system according to an embodiment of the present invention.
FIG. 2 is a block diagram showing the detailed configuration of the curriculum platform management server shown in FIG. 1 .
3 to 6 are exemplary views for explaining the execution screen of the fashion design education and startup support service platform presented in the present invention.
6 is a flowchart illustrating an AI-based fashion design education and startup support service method according to an embodiment of the present invention.
7 illustrates an example computing environment in which one or more embodiments disclosed herein may be implemented.

Hereinafter, embodiments of the present specification will be described with reference to the accompanying drawings. However, it is to be understood that the technology described herein is not limited to specific embodiments, and includes various modifications, equivalents, and/or alternatives of the embodiments of the present specification. . In connection with the description of the drawings, like reference numerals may be used for like components. In the present specification, expressions such as “have,” “may have,” “include,” or “may include” indicate the presence of a corresponding characteristic (eg, a numerical value, function, operation, or component such as a part). and does not exclude the presence of additional features.

In this specification, expressions such as "A or B," "at least one of A and/and B," or "one or more of A or/and B" may include all possible combinations of the items listed together. . For example, "A or B," "at least one of A and B," or "at least one of A or B" means (1) includes at least one A, (2) includes at least one B; Or (3) it may refer to all cases including both at least one A and at least one B.

As used herein, expressions such as "first," "second," "first," or "second," can modify various elements, regardless of order and/or importance, and refer to one element. It is used only to distinguish it from other components, and does not limit the components. For example, the first user equipment and the second user equipment may represent different user equipment regardless of order or importance. For example, without departing from the scope of the rights described herein, a first component may be referred to as a second component, and similarly, the second component may also be renamed as a first component.

A component (eg, a first component) is "coupled with/to (operatively or communicatively)" to another component (eg, a second component); When referring to "connected to", it should be understood that the certain element may be directly connected to the other element or may be connected through another element (eg, a third element). On the other hand, when it is said that a component (eg, a first component) is "directly connected" or "directly connected" to another component (eg, a second component), the component and the It may be understood that other components (eg, a third component) do not exist between other components.

As used herein, the expression "configured to (or configured to)" depends on the context, for example, "suitable for," "having the capacity to ," "designed to," "adapted to," "made to," or "capable of." The term “configured (or configured to)” may not necessarily mean only “specifically designed to” in hardware. Instead, in some circumstances, the expression “a device configured to” may mean that the device is “capable of” with other devices or parts.

For example, the phrase “a processor configured (or configured to perform) A, B, and C” refers to a dedicated processor (eg, an embedded processor) for performing the operations, or by executing one or more software programs stored in a memory device. , may mean a generic-purpose processor (eg, a CPU or an application processor) capable of performing corresponding operations.

The terms used herein are used only to describe specific embodiments, and may not be intended to limit the scope of other embodiments. The singular expression may include the plural expression unless the context clearly dictates otherwise. Terms used herein, including technical or scientific terms, may have the same meanings as commonly understood by one of ordinary skill in the art described herein. Among the terms used herein, terms defined in a general dictionary may be interpreted with the same or similar meaning as the meaning in the context of the related art, and unless explicitly defined in the present specification, have ideal or excessively formal meanings. is not interpreted as In some cases, even the terms defined in this specification cannot be construed to exclude the embodiments of the present specification.

Hereinafter, a fashion design class education service platform and a system providing the same according to an embodiment of the present invention will be described in more detail based on the accompanying drawings.

1 is a network configuration diagram of a system for providing AI-based fashion design education and start-up support service according to an embodiment of the present invention.

As shown in FIG. 1 , the AI-based fashion design education and startup support service providing system 100 according to an embodiment of the present invention includes a member terminal 200 and a platform management server 300 .

The member terminal 200 and the platform management server 300 perform network communication. Here, the network refers to a connection structure in which information exchange is possible between each node, such as a plurality of terminals and servers, and examples of such networks include RF, 3rd Generation Partnership Project (3GPP) network, Long Term Evolution (LTE). ) network, 5rd Generation Partnership Project (5GPP) network, WIMAX (World Interoperability for Microwave Access) network, Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth (Bluetooth) network, NFC network, satellite broadcasting network, analog broadcasting network, DMB (Digital Multimedia Broadcasting) network, etc. include, but are not limited thereto.

In the following, the term at least one is defined as a term including the singular and the plural, and even if at least one term does not exist, each element may exist in the singular or plural, and may mean the singular or plural. it will be self-evident In addition, whether each component is provided in singular or plural may be changeable depending on the embodiment.

First, the member terminal 200 may be a terminal of a member who executes the fashion design education service platform provided by the platform management server 300 to be described later, and then subscribes to the curriculum service corresponding to the age or learning difficulty.

The member terminal 200 is provided with fashion design curriculum services by grade for fashion, beauty, sculpture, craft design, etc. using the fashion design education service platform 10, and at each time point when a chapter of the fashion design curriculum by grade is completed. It may be a terminal that provides an image of a fashion design product and a production process, which is learned in the corresponding chapter or based on the introduced educational information, to a platform management server to be described later.

In addition, the member terminal 200 may be a terminal that receives evaluation information for understanding the curriculum analyzed based on the image from the platform management server 300 to be described later.

In addition, the member terminal 200 may be a terminal that is provided with a curriculum whose difficulty is adjusted according to the evaluation of comprehension.

In addition, when a member completes all the curriculum of the fashion design education service, the member terminal 200 provides a wearing image wearing a fashion design product produced based on the educational information learned in each chatter or chapter of the curriculum. It may be a terminal.

In addition, the member terminal 200 may be a terminal that shares a wearing image wearing a fashion design product between members and the general public on SNS, and receives a review on the production result.

In addition, the member terminal 200 may be a terminal accessible to the virtual runway supported by the platform management server 300 to be described later, and fashion design products produced based on the educational information learned from each chapter or chapters of the curriculum. It may be a terminal that executes a runway of an avatar wearing an image.

For example, the image of the fashion design product is processed into a three-dimensional image in the platform management server and applied to the avatar walking on the virtual runway, and the member can control the avatar's runway operation.

For reference, the runway virtual space may be a space provided for each individual or group only when the member has completed the entire course of the registered curriculum.

In addition, when the member terminal 200 is a terminal of a student who has the highest response level of online participants (audiences) participating in the virtual runway space, the member terminal 200 may be a terminal that receives educational information on starting a business.

In addition, the member terminal 200 may be a terminal that is provided with a personal exhibition space in the fashion design education service platform for the students who have the highest responsiveness of online participants (audiences) participating in the virtual runway space.

On the other hand, the member terminal 200 is provided with 1:1 customized information about a manufacturing method for a product that can be manufactured using the curriculum service supported by the fashion design education service platform 10, a place to purchase materials required for product manufacturing, etc. It may be a terminal.

The member terminal 200 is a terminal connectable to the fashion design education service platform 10 , and may be implemented as a computer capable of accessing a remote server or terminal through a network.

Here, the computer may include, for example, a laptop computer, a desktop computer, and a laptop computer. In addition, the consumer terminal 200, as a wireless communication device that guarantees portability and mobility, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA(Personal Digital Assistant), IMT(International Mobile Telecommunication)-2000, CDMA(Code Division Multiple Access)-2000, W-CDMA(W-Code Division Multiple Access), Wibro(Wireless Broadband Internet) terminal, smartphone ), a smart pad, a tablet PC, and the like, may include all kinds of handheld-based wireless communication devices.

On the other hand, the fashion design education service platform (10, KAART) presented herein may include an art class UI (11), a fashion class UI (12), and a startup support UI (13).

The art class UI 11 is a user interface that provides information on a fashion curriculum for children under the age of 17. Based on the information introduced in the curriculum, fashion items created by children are displayed online and for children. It supports an exhibition/sharing function that allows users to share the fashion show videos they wear and shoot on social services.

In addition, the art class UI 11 provides a different fashion item production curriculum according to the age (8-10, 11-13, 14-17) of young children, It supports the function to register for each production process.

In addition, the art class UI 11 uses an AI analysis algorithm to analyze the images of the productions and production processes made by children to detect the image area that reflects the knowledge or skills or characteristics related to the academic content introduced in the curriculum, It is possible to provide a graded result by evaluating the understanding of the curriculum through the combination of the detected image regions.

Next, the fashion class UI 12 provides the adult fashion designer experience curriculum (for example, ①thinking/thinking, ②creating your own brand collage map, ③creating text tiles using fabric, ④color & pattern play production, ⑤ Fashion Illustration Art Week, ⑥ Costume Design Experience, ⑦ Store Interior Composition, ⑧ Portfolio Completion & Sharing, etc.) are provided.

The fashion class UI 11 uses an AI analysis algorithm to analyze images of products and production processes made by adults to detect and detect image areas that reflect knowledge or skills or characteristics related to academic content introduced in the curriculum. It is possible to provide a graded result by evaluating the understanding of the curriculum through the combination of image regions.

The fashion class platform 12 supports a function of sharing between members after a user (member) registers a product created based on the information introduced in the fashion design experience curriculum online.

The fashion class UI 12 may provide a knowledge search function that can search knowledge information related to fashion, art, and other disciplines linked to or originating from the corresponding curriculum, and may search for production items produced according to the curriculum. Supports the online registration function for each production process.

In addition, by applying the fashion items produced by members to the avatars of the virtual runway, each member launches a virtual runway show to support a runway sharing service that can be shared with other members.

Next, the start-up support UI 13 is an interface that is activated in the member terminals selected as the participants with the highest responsiveness of the online participants (audiences) who participated in the virtual runway space. It may be an interface that provides information.

In addition, the start-up UI 13 supports a personal online exhibition space, and the member can use the personal online exhibition space as a marketing space, for example, a promotional space for a personal brand.

Next, the platform management server 300 analyzes the image of the fashion design product and the production process using the AI analysis algorithm to detect the image area in which knowledge or skills or characteristics related to the academic content introduced in the curriculum are reflected, The degree of understanding of the curriculum is evaluated and graded through the combination of the detected image regions, and the curriculum in which the difficulty of the class is adjusted according to the grade of understanding is provided to the member terminal.

When the platform management server 300 completes the entire process of the curriculum subscribed to by the member terminal, the virtual runway for each individual or group is executed using the fashion design product and the image of the production process produced in the entire process. It may be a configuration that supports the runway space.

The platform management server 300 may be configured to provide educational information on starting a business to the member terminal for students who have the highest response level of online participants (audiences) participating in the virtual runway space.

In addition, the platform management server 300 may be configured to support a personal exhibition space in the fashion design education service platform for students who have the highest response level of online participants (audiences) participating in the virtual runway space.

More specifically, the platform management server 300 includes a student management unit 310 , a curriculum providing unit 320 , an artificial intelligence learning unit 330 , an evaluation unit 340 , a virtual service unit 350 , and a start-up support unit 360 . ) is included.

The student management unit 310 may be configured to register and manage member information of members who have subscribed to the fashion design education service.

In addition, the student management unit 310 classifies the registered members by age group into new members and existing members, and in the case of existing members, the course information of the members is updated with a curriculum grade whose difficulty is adjusted according to the evaluation result of the evaluation unit to be described later. It may be a configuration that

The student management unit 310 may register and manage images provided by the member terminal 200 (images of fashion design products manufactured by members and images of production processes) for each member.

The curriculum program providing unit 320 may be configured to provide age-specific fashion design curriculum programs.

For example, the curriculum program providing unit 320 may be a configuration that provides various educational programs for the study of fashion design, characteristic education of famous brands, fashion design design-production, product launch and fashion show process, and personal brand start-up. have.

On the other hand, the curriculum program providing unit 320 may be configured to provide a customized curriculum program in which the difficulty of the standard curriculum provided to the corresponding member is adjusted based on the evaluation result for each member of the evaluation unit 340 to be described later.

In addition, the curriculum program providing unit 320 is provided from the cognitive intelligence learning unit 330, which describes the fashion features of famous fashion designers, famous products, etc. designated by the member, and may be configured to be provided in the member's fashion design curriculum.

Next, the artificial intelligence learning unit 330 self-learning the customized standard difficulty appropriate for the age based on the evaluation information and feedback information of the member who has learned the standard curriculum program provided by the above-described curriculum program providing unit 320. can be configuration.

The artificial intelligence learning unit 330 employs a deep learning learning algorithm, and the deep learning learning algorithm includes a Deep Belief Network, Autoencoder, Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Deep Q-Network, etc. and the deep learning learning algorithm listed in the present invention is only an example, and is not limited thereto.

In the present invention, an example of applying CNN (Convolutional Neural Network), which is one of the deep learning learning algorithms listed above, is applied to the fashion design education service of the present application. A deep learning learning algorithm of may be used.

Next, the evaluation unit 340 analyzes the image of the fashion design production and production process provided by the member terminal using the AI analysis algorithm, and the image area in which the knowledge or skills or characteristics related to the academic content introduced in the curriculum are reflected. may be configured to detect and grade the understanding of the curriculum through a combination of detected image regions.

The evaluation unit 340 is provided with evaluation point information that is important in each detailed chapter of the curriculum programs provided by the above-described curriculum program providing unit 320, and includes a configuration for detecting an image region including the evaluation point information. can do.

Next, when the virtual service unit 350 completes the entire course of the curriculum subscribed to by the member terminal, the virtual runway for each individual or group is executed using the fashion design product and the image of the production process produced in the entire process. It may be a configuration that supports a virtual runway space for

In addition, when the virtual service unit 350 completes the entire process of the curriculum subscribed to by the member terminal, the image of the fashion design product and the production process produced in the entire process is 3D stereoscopic using a 3D customizing technique, It may be a configuration that is applied to a virtual runway space by being worn on a virtual avatar to which race, body, and walking motion specified by the member are applied.

In addition, the virtual service unit 350 may be configured to support an emotion display function for users accessing the virtual runway space to display an evaluation of a product image presented by a corresponding member.

Next, the start-up support unit 360 may be configured to support educational information on start-up for students who have the highest response level of online participants (audiences) participating in the virtual runway space.

Here, the educational information on entrepreneurship includes knowledge information on fashion design management, specialization, and practical experiences of seniors.

The start-up support unit 360 may be configured to support a personal exhibition space within the fashion design education service platform for students who have the highest response level of online participants (audiences) participating in the virtual runway space.

7 is a flowchart illustrating an AI-based fashion design education and startup support service method according to an embodiment of the present invention.

Referring to FIG. 7 , the AI-based fashion design education and startup support service method ( S700 ) according to an embodiment of the present invention executes a fashion design education service platform in a member terminal, Subscribe to the curriculum service (S710).

Thereafter, images and production intentions of fashion design products and production processes in which fashion design knowledge learned in the step-by-step learning process of the subscribed curriculum from the member terminal are reflected are submitted online (S720).

Next, by using the AI analysis algorithm in the platform management server 300 to analyze the image of the fashion design production and production process, the image area that reflects the knowledge or skills or characteristics related to the academic content introduced in the curriculum is detected, After evaluating and grading the understanding of the curriculum through the combination of the detected image regions (S730), the curriculum in which the difficulty of the class is adjusted according to the grade of understanding is provided to the member terminal (S740).

On the other hand, the AI-based fashion design education and start-up support service method (S700) according to an embodiment of the present invention is a fashion design production and production produced in the entire process when the entire process of the curriculum subscribed to the member terminal is completed. The method further includes a process (S750) of providing a virtual runway space for executing a virtual runway for each individual or group by using the image for the process.

In addition, the AI-based fashion design education and start-up support service method (S700) according to an embodiment of the present invention provides education on entrepreneurship for students who have the highest responsiveness of online participants (audiences) participating in the virtual runway space. The process of providing a personal exhibition space in the information and fashion design education service platform (S760) may be further included.

On the other hand, the fashion design education service platform (10, KAART) presented herein may include an art class UI (11), a fashion class UI (12), and a startup support UI (13).

The art class UI 11 is a user interface that provides information on a fashion curriculum for children under the age of 17. Based on the information introduced in the curriculum, fashion items created by children are displayed online and for children. It supports an exhibition/sharing function that allows users to share the fashion show videos they wear and shoot on social services.

In addition, the art class UI 11 provides a different fashion item production curriculum according to the age (8-10, 11-13, 14-17) of young children, It supports the function to register for each production process.

In addition, the art class UI 11 uses an AI analysis algorithm to analyze the images of the productions and production processes made by children to detect the image area that reflects the knowledge or skills or characteristics related to the academic content introduced in the curriculum, It is possible to provide a graded result by evaluating the understanding of the curriculum through the combination of the detected image regions.

Next, the fashion class UI 12 provides the adult fashion designer experience curriculum (for example, ①thinking/thinking, ②creating your own brand collage map, ③creating text tiles using fabric, ④color & pattern play production, ⑤ Fashion Illustration Art Week, ⑥ Costume Design Experience, ⑦ Store Interior Composition, ⑧ Portfolio Completion & Sharing, etc.) are provided.

The fashion class UI 11 uses an AI analysis algorithm to analyze images of products and production processes made by adults to detect and detect image areas that reflect knowledge or skills or characteristics related to academic content introduced in the curriculum. It is possible to provide a graded result by evaluating the understanding of the curriculum through the combination of image regions.

The fashion class platform 12 supports a function of sharing between members after a user (member) registers a product created based on the information introduced in the fashion design experience curriculum online.

The fashion class UI 12 may provide a knowledge search function that can search knowledge information related to fashion, art, and other disciplines linked to or originating from the corresponding curriculum, and may search for production items produced according to the curriculum. Supports the online registration function for each production process.

In addition, by applying the fashion items produced by members to the avatars of the virtual runway, each member launches a virtual runway show to support a runway sharing service that can be shared with other members.

Therefore, by using the AI-based fashion design education and business start-up support service providing method and system according to an embodiment of the present invention, it is possible to provide a fashion design education experience to people of all ages, regardless of age or gender, who are interested in fashion. there is this

This has the advantage of being able to develop a new type of fashion nurturing education service and communication content online/offline, and creating a new market for the digital fashion industry as a new field of the creative economy.

9 is a diagram illustrating an example computing environment in which one or more embodiments disclosed herein may be implemented, and is an illustration of a system 1000 including a computing device 1100 configured to implement one or more embodiments described above. shows For example, computing device 1100 may be a personal computer, server computer, handheld or laptop device, mobile device (mobile phone, PDA, media player, etc.), multiprocessor system, consumer electronics, minicomputer, mainframe computer, distributed computing environments including any of the aforementioned systems or devices, and the like.

The computing device 1100 may include at least one processing unit 1110 and a memory 1120 . Here, the processing unit 1110 may include, for example, a central processing unit (CPU), a graphic processing unit (GPU), a microprocessor, an application specific integrated circuit (ASIC), field programmable gate arrays (FPGA), and the like. and may have a plurality of cores. The memory 1120 may be a volatile memory (eg, RAM, etc.), a non-volatile memory (eg, ROM, flash memory, etc.), or a combination thereof. Additionally, computing device 1100 may include additional storage 1130 . Storage 1130 includes, but is not limited to, magnetic storage, optical storage, and the like. The storage 1130 may store computer readable instructions for implementing one or more embodiments disclosed herein, and other computer readable instructions for implementing an operating system, an application program, and the like. Computer readable instructions stored in storage 1130 may be loaded into memory 1120 for execution by processing unit 1110 .

Computing device 1100 may also include input device(s) 1140 and output device(s) 1150 . Here, the input device(s) 1140 may include, for example, a keyboard, mouse, pen, voice input device, touch input device, infrared camera, video input device, or any other input device, or the like. Further, the output device(s) 1150 may include, for example, one or more displays, speakers, printers, or any other output device, or the like. Also, the computing device 1100 may use an input device or an output device included in another computing device as the input device(s) 1140 or the output device(s) 1150 . Computing device 1100 may also include communication connection(s) 1160 that enable computing device 1100 to communicate with another device (eg, computing device 1300 ). Here, communication connection(s) 1160 may be a modem, network interface card (NIC), integrated network interface, radio frequency transmitter/receiver, infrared port, USB connection, or other for connecting computing device 1100 to another computing device. It may include interfaces. Further, the communication connection(s) 1160 may include a wired connection or a wireless connection. Each component of the above-described computing device 1100 may be connected by various interconnections such as a bus (eg, peripheral component interconnection (PCI), USB, firmware (IEEE 1394), optical bus structure, etc.) and may be interconnected by a network 1200 . As used herein, terms such as “component,” “system,” and the like generally refer to a computer-related entity that is hardware, a combination of hardware and software, software, or software in execution.

As such, those skilled in the art to which the present invention pertains will understand that the present invention may be embodied in other specific forms without changing the technical spirit or essential characteristics thereof. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. The scope of the present invention is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. do.

100: system
200: member terminal
300: platform management server
310: Student Management Department
320: Curriculum program provider
330: artificial intelligence learning unit
340: evaluation unit
350: virtual service department
360: Startup Support Department

Claims (8)

After executing the fashion design education service platform in the member terminal, the step of subscribing to the curriculum service corresponding to the age or learning difficulty;
online submission of images and production intentions for fashion design products and production processes in which fashion design knowledge learned in the step-by-step learning process of the subscribed curriculum at the member terminal is reflected;
The platform management server uses the AI analysis algorithm to analyze the image of the fashion design product and production process, detects the image area that reflects the knowledge, technology, or characteristic related to the academic content introduced in the curriculum, and combines the detected image areas evaluating and grading the understanding of the curriculum; and
Artificial intelligence-based fashion design education and business start-up support service providing method comprising the step of providing to the member terminal a curriculum in which the difficulty of class is adjusted according to the level of understanding.
According to claim 1,
If the member terminal has completed the entire course of the subscribed curriculum, the step of providing a virtual runway space for executing a virtual runway for each individual or group by using the image of the fashion design product and production process produced in the entire process is further added. A method of providing AI-based fashion design education and start-up support services, including
3. The method of claim 2,
Artificial intelligence-based fashion design education and business start-up support service method further comprising providing educational information on entrepreneurship to students who have the highest response rate of online participants (audiences) participating in the virtual runway space.
4. The method of claim 3,
Artificial intelligence-based fashion design education and business start-up support service method further comprising providing a personal exhibition space within the fashion design education service platform for students who have the highest response rate of online participants (audiences) participating in the virtual runway space .
Use the fashion design education service platform to sign up for a fashion design curriculum service that corresponds to your age or learning difficulty, and image and Member terminals that submit production intentions online; and
Using AI analysis algorithm, the image of the fashion design product and production process is analyzed to detect the image area reflecting the knowledge or skills or characteristics related to the academic content introduced in the curriculum, and through the combination of the detected image areas, the curriculum An artificial intelligence-based fashion design education and start-up support service providing system including a platform management server that evaluates and grades understanding, and provides a curriculum that adjusts the difficulty of class according to the level of understanding to the member terminal.
6. The method of claim 5,
The platform management server
When the member terminal completes the entire course of the subscribed curriculum, it supports a virtual runway space for executing a virtual runway for each individual or group by using the fashion design product and the image of the production process produced in the entire process. AI-based fashion design education and start-up support service providing system.
7. The method of claim 6,
The platform management server
Artificial intelligence-based fashion design education and start-up support service providing system, characterized in that it provides educational information on entrepreneurship to the member terminal for students who have the highest response rate of online participants (audiences) participating in the virtual runway space.
8. The method of claim 7,
The platform management server
Artificial intelligence-based fashion design education and start-up support service providing system, characterized in that a personal exhibition space is supported in the fashion design education service platform for the students who have the highest response rate of online participants (audiences) participating in the virtual runway space .

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