KR102245451B1 - Model agreement method - Google Patents

Abstract

Disclosed is a method for contracting portrait right, which becomes the technical idea of the present invention. The method comprises the steps of: entering a portrait right holder confirmation step when registering a portrait right in contents; selecting the corresponding person with the portrait right from a selected candidate portrait right holder; requesting approval for the selected portrait right holder; and entering transaction conditions and registering the portrait right after the approval request.

Description

Model rights contract method{MODEL AGREEMENT METHOD}

The present invention relates to a method of contracting a portrait right, and more particularly, to a method of contracting a portrait right to service a portrait right.

In the conventional model rights service method, registration number 10-0611312, a portable terminal equipped with a digital camera capable of preventing portrait rights infringement, and a method of inserting information for preventing portrait rights infringement in a portable terminal equipped with a digital camera, and registration number 10-1646935 , There is a content management distribution system by reprocessing consumable images. A portable terminal equipped with a digital camera capable of preventing infringement of portrait rights, and a method of inserting information for preventing infringement of portrait rights in a portable terminal equipped with a digital camera, use watermarking technology to prevent illegal infringement of portrait rights. Presented. In other words, who, when, and where illegally infringed on portrait rights is identified and tracked, and the content management distribution system by reprocessing consumable images reprocesses images that can be discarded as consumable images into secondary content such as stock images. It is distributed and distributed, and a verification procedure is promptly performed to verify the right source of the consumable image registered by the seller, that is, whether it is a legitimate right holder for copyright or neighboring rights.

Such a portrait right service method has a problem in that the authentication process and the reliability analysis of the portrait right are omitted, and thus the face photo of the user who is the portrait right cannot be reliably serviced.

Registration No. 10-0611312, a portable terminal equipped with a digital camera capable of preventing infringement of portrait rights, and a method of inserting information for preventing infringement of portrait rights in a portable terminal equipped with a digital camera Registration No. 10-1646935, Content management distribution system by reprocessing consumable images

An object of the present invention for solving the above problems is to provide a model rights contract method for reliably servicing the portrait rights.

The present invention for achieving the above object, in the production and storage of the content in the service, entering the portrait right holder verification step when registering a portrait right on the produced content; Selecting a person with a portrait right in the step of confirming a person with a portrait right; Requesting approval for the selected portrait right holder; And inputting conditions for distribution of rights after requesting approval and registering the portrait rights.

In addition, the step of selecting the portrait right holder includes selecting the corresponding portrait right holder from previously registered candidate portrait right holders.

In addition, the step of requesting approval may include a user authentication step including a content producer; And uploading self-photographed user facial information.

In addition, the uploading includes: authenticating a device for uploading user facial information, combining the user authentication and device authentication, and storing the authentication information in the server.

In addition, the uploading of the user's facial information includes determining a reliability based on the uploaded user's facial information.

In addition, the step of determining the reliability may include collecting internal information and external information of the user's facial information; Determining reliability through a determination algorithm using the internal information; Determining reliability through a determination algorithm using the external information; Determining whether the user's facial information is authentic or not if there is no duplication; And if there is a duplicate, verifying whether the duplicate photo is the person.

In addition, the determination algorithm using the internal information includes the internal information, which is metadata including any one or more of a file creation date, file content, resolution, codec/encoding information, device OS version, GPS information, device device name, and content producer. And determining a duplicate if the internal information matches a predetermined ratio or more by using.

In addition, the determination algorithm using the external information may include determining a file extension having a coding that can be generated for each device OS; Tracking the path for storing the file to determine whether it is actually generated user facial information or downloaded user facial information; And determining whether the file name is directly generated or downloaded user facial information by determining the file name for each program or app that creates the file. Use the selected verdict.

In addition, the uploading may include registering and logging in user information including at least one of e-mail, biometric authentication, and simple login; Inputting additional information including one or more of name, gender, birthday, age, occupation, and location information; And receiving permission to access a media folder with the identification information of the device, and uploading the user's facial information to the server.

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In addition, the uploading may include transmitting information about a model right holder prediction candidate for the user's facial information; Requesting approval from the portrait right holder if there is information about the portrait right holder prediction candidate; After requesting approval, if the person is a registered portrait right holder, the step of approving and authenticating the use of the portrait right holder facial information; And requesting information on the portrait right holder if the portrait right holder is not registered.

In addition, the step of requesting approval from the portrait right holder may include: presenting a sales return on the use of the portrait right; And modifying and approving the sales profit rate.

In addition, the step of authenticating the approval may include: authorizing a user including a subscribed/registered uploader after confirming a content producer; Requesting approval/modification of the rate of return; And approving/rejecting the request.

In addition, the step of requesting the portrait right holder information may include storing information about the portrait right holder including a communicable identifier such as a phone number, e-mail, SNS, and notification message; Sending a link to create a secured portrait right photographing page in the above communication enabled method using the inputted identifier; And storing user information including at least one of a portrait right photography authentication consent, portrait right facial information, permission to use a portrait right, and photo identification information.

In addition, the step of approving the uploader may include, in approving the uploader that has not been registered/registered, receiving a portrait right photography authentication including a consent for a portrait right photography authentication and a consent to use the portrait right information; Downloading the application and recommending subscription; And executing contract notification and facial information authentication through service usage and rights usage fees for the user who has not downloaded the application.

Throughout this description and claims, reference is made only to the model rights agreement method for a better understanding of the fundamental concepts of the invention, but within all aspects of the invention the invention encompasses further further embodiments as well as furthermore. Easily and obviously to those of ordinary skill in the art, the methods, apparatus and systems according to the present invention can be applied equally to the model rights contract method.

In the case of using the portrait right contract method according to the present invention as described above, the user's facial information, which is the portrait right, can be uploaded and stored in the server, and then the user's facial information can be serviced to the authenticated user terminal when the information is requested.

1 is a flowchart illustrating an operation of a method for contracting a model right.
2 is an example diagram of a model rights contract application requesting approval.
3 is an exemplary view showing a combination of user authentication and device authentication.
4 is an exemplary diagram in which the model rights contract application determines reliability.
5 is an exemplary diagram showing a determination algorithm using internal information.
6 is an exemplary diagram showing a determination algorithm using external information.
7 is an exemplary diagram showing a reliability determination using a video.
8 is an exemplary diagram showing user information registration and login steps.
9 is an exemplary diagram showing a step of a candidate list of portrait rights holders.
10 is an exemplary view showing a step of requesting approval from a portrait right holder.
11 is an exemplary view showing a step of approval and authentication.
12 is an exemplary view showing a step of requesting information on a portrait right holder.
13 is an exemplary diagram for approving an uploader that has not been subscribed/registered.
14 is an overall flowchart of a method for contracting a model right.

In the present invention, various modifications may be made and various embodiments may be provided, and specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to a specific embodiment, it should be understood to include all changes, equivalents, and substitutes included in the spirit and scope of the present invention. In describing each drawing, similar reference numerals have been used for similar elements.

Terms such as first, second, A, and B may be used to describe various elements, but the elements should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another component. For example, without departing from the scope of the present invention, a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element. The term and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.

When a component is referred to as being "connected" or "connected" to another component, it is understood that it may be directly connected or connected to the other component, but other components may exist in the middle. It should be. On the other hand, when a component is referred to as being "directly connected" or "directly connected" to another component, it should be understood that there is no other component in the middle.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In the present application, terms such as "comprise" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, but one or more other features. It is to be understood that the presence or addition of elements or numbers, steps, actions, components, parts, or combinations thereof does not preclude in advance.

Unless otherwise defined, all terms used herein including technical or scientific terms have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. Terms as defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and should not be interpreted as an ideal or excessively formal meaning unless explicitly defined in the present application. Does not.

The terms used in the specification take the form of a compound word having a new meaning in a broader sense by combining words with different meanings and words that have different meanings and can be interpreted broadly in the original meaning of the word. For example, the word “conversation” and “channel” are combined to form a dialogue channel, thereby indicating a communication channel through which dialogue is conducted. In addition, the embodiments presented in the specification are preferred embodiments, and in some cases, other configurations may be added or the original configuration may be omitted. In an embodiment, it may be implemented to include or have a configuration.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a flowchart illustrating an operation of a method for contracting a model right.

Contents, portrait right registration, portrait right holder verification step, entry, pre-registered candidate portrait right holder, selection, corresponding portrait right holder selection, approval request, transaction condition input, portrait right registration, and the contents are multimedia contents serviced by electronic media The portrait right registration registers facial information, the portrait right verification step is the step of identifying the user who has facial information, the entry is the execution of the portrait right holder verification step, and the registered candidate portrait right is the face of the previously registered candidate group. User who has information, and selection is to select a previously registered candidate portrait right holder, the corresponding portrait right person selection is to select the corresponding portrait right person, the approval request is to request approval for the portrait right registration, and the transaction condition input is to trade the portrait right registration. It is to enter the conditions to do so, and to register a portrait right is to register a portrait right. The above facial information generally refers to a picture of a face. The above-described screening step may consist of a separate step, because a new user who has not been previously registered may be substituted with a procedure for registering facial information.

In the portrait right contract method, when a portrait right registration is requested for the content, a portrait right holder verification step is entered (S10). In the portrait right holder verification step (S10), the model right contract application selects the previously registered candidate portrait right holder (S20), selects the corresponding portrait right holder from the selected candidate portrait right holder (S30), and requests approval for the selected portrait right holder (S40). Upon request for approval, the model rights contract application enters the transaction conditions and registers the portrait rights (S50). As described above, the step S20 of selecting a previously registered candidate portrait right holder may be selectively applied.

The model rights contract application executes the model rights contract method, and registers the user's portrait rights by the model rights contract method.

2 is an example diagram of a model rights contract application requesting approval.

Approval request, user authentication, facial information, which is a self-portrait of the user's face, and upload is the configuration, the approval request is to request permission to register a portrait right, user authentication is to authenticate the user, and the user's face photo taken by itself The facial information is the device photographs the user's facial information, and the upload uploads the self-photographed facial information to the server.

When the portrait rights contract application requests approval for the selected portrait right holder among the previously registered candidate portrait right holders, it processes user authentication including the content producer (S41), and uploads facial information, which is a self-photographed user's face picture, to the server (S42). . When the approval of the selected portrait right holder is requested, the portrait rights contract application authenticates the user who is the selected portrait right holder, and uploads the user's face information taken by itself.

3 is an exemplary view showing a combination of user authentication and device authentication.

User facial information, upload, device, authentication, user authentication, device authentication, association, server, and authentication information storage are configured, and the user facial information is facial information, which is a face picture that the user has, and upload uploads the user facial information to the server. The device captures the user's facial information, authentication authenticates the user or device, user authentication authenticates the user, device authentication authenticates the device, combination combines user authentication and device authentication, and stores authentication information. Stores the authentication information.

The model rights contract application authenticates a device that uploads user facial information (S43), combines user authentication and device authentication (S44), and stores the authentication information in the server (S45). User authentication includes real-time authentication, biometric authentication, and facial information authentication, real-time authentication performs authentication during the user's facial information upload process, biometric authentication includes fingerprint recognition, and facial information authentication is the date of facial information authentication using a camera. I can.

4 is an exemplary diagram in which the model rights contract application determines reliability.

The model rights contract application determines the reliability of facial information, which is a photograph of the user's face.

The uploaded user facial information, criteria, and reliability determination are composed, the uploaded user facial information is the user facial information uploaded to the server, the standard is based on the user facial information, and the reliability determination determines the reliability of the user facial information. do.

In determining the reliability of the model rights contract application, the reliability is determined based on the uploaded user facial information.

User facial information, internal and external information, and collection consist of the user's facial information, the user's facial information is the user's facial information, the internal information and the external information are internal or external information about the user's facial information, and the collection is internal or external information. Gather information.

The model rights contract application collects internal information and external information about the user's facial information to determine the reliability (S421).

Internal information, judgment algorithm, reliability, and judgment consist of the composition, internal information is the internal information of the user's facial information, judgment algorithm is the judgment algorithm using internal information, the reliability is the reliability of the user's facial information, and the judgment judges the reliability. .

The model rights contract application determines reliability through a determination algorithm using internal information (S422).

External information, judgment algorithm, reliability, and judgment consist of the composition, external information is external information of user facial information, judgment algorithm is judgment algorithm using external information, reliability is reliability of user facial information, judgment judges reliability .

The model rights contract application determines reliability through a determination algorithm using external information (S423).

User facial information, if there is no overlap, the authenticity determination is the configuration, the user facial information is the facial information that the user has, and if there is no overlap, the authenticity determination determines whether the user's facial information is authentic or not.

If there is no overlap in the user's facial information, the model rights contract application determines whether or not it is authentic (S424).

If there is a duplicate, the configuration consists of a duplicate picture, and if there is a duplicate, the duplicate picture is a duplicate picture if there is a duplicate in the user's facial information, and the user confirms the identity.

If there is a duplicate of the user's facial information, the portrait rights contract application checks whether the user is the person for the duplicate picture (S425).

5 is an exemplary diagram showing a determination algorithm using internal information.

File creation date, file content, resolution, codec/encoding information, device OS version, GPS information, device device name, metadata including one of the content producers, internal information, duplicate determination if a certain percentage or more matches, and file creation The date is the date the file was created, the file content is the content stored as a file, the resolution is the image resolution, the codec/encoding information is the image encoded information, the device OS version is the OS version installed on the device, and GPS information Is location information, metadata is data including various types of information, and internal information is internal information, which is metadata, and if it matches a certain ratio or more, the redundancy determination is determined as redundancy if the match rate of the internal information, which is metadata, is more than a certain ratio.

In performing a decision algorithm using internal information, the model rights contract application contains internal information, which is metadata 50 including any one or more of file creation date, file content, resolution, codec/encoding information, device OS version, and GPS information. If it matches more than a certain percentage of, it is judged as duplicate. The model rights contract application determines that the user's facial information is duplicated user facial information if the internal information obtained as metadata matches a certain percentage or more.

6 is an exemplary diagram showing a determination algorithm using external information.

Coding that can be generated for each device OS, file extension determination, path tracking to save files, determination of whether it is actually created user facial information or downloaded user facial information, and determining whether the file name was created by program or app that created the file or not The configuration is the determination of whether the received user's facial information is composed, the coding that can be generated for each device OS is the coding that can be generated for each OS installed on the device, the file extension determination is the determination of the file extension, and the path to save the file is the path where the file is saved. It's a trace for.

The model rights contract application uses the determination algorithm 60 using external information to determine the file extension by coding that can be generated for each device OS or track the path to save the file to determine whether it is the actually created user's facial information or the downloaded user's facial information. Or, by determining the file name for each program or app that creates the file, it determines whether it is directly created or downloaded user's facial information.

8 is an exemplary diagram showing user information registration and login steps.

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E-mail, biometric authentication, simple login, user information registration and login are configured, email is an e-mail address, biometric authentication is authentication for the user's biometric information, simple login is the user's simple login, and user information registration and login are User information registration and login.

The model rights contract application enters an e-mail, performs biometric authentication, and performs simple login in the user information registration and login step 80.

Name, gender, birthday, age, occupation, location information, and additional information input is the configuration, and additional information input is the user's name, gender, birthday, age, occupation, and location information.

The model rights contract application inputs any one or more additional information of name, gender, birthday, age, occupation, and location information for the user information registration and login step 80.

Device identification information, media folder, access permission permission, server, user face information, and upload are configuration, device identification information is device identification information, media folder is a space where files are stored on the server, and access permission permission Allows permission to access the media folder, the server runs the model rights contract application, the user's facial information is the facial information that the user has, and the upload uploads the user's facial information to the server.

The model rights contract application receives permission to access the media folder of the server by using the identification information of the device that uploads the user's facial information, and uploads the user's facial information to the server.

9 is an exemplary diagram showing a step of a candidate list of portrait rights holders.

User facial information, portrait right prediction candidate information, and transmission are composed, user face information is facial information that the user has, portrait right prediction candidate information is prediction candidate information for users who have facial information, and transmission is portrait right prediction candidate information. Transmit information.

The portrait rights contract application transmits the portrait rights holder prediction candidate information for the user's facial information in the portrait rights holder candidate list step 90. If there is information about the candidate for the portrait right holder, the model right contract application requests approval from the portrait right holder. After requesting approval, if you are a registered portrait holder, the portrait rights contract application approves and authenticates the use of the portrait rights holder's facial information. If the portrait rights are not registered, the portrait rights contract application requests information about the portrait rights holder.

10 is an exemplary view showing a step of requesting approval from a portrait right holder.

Model rights use, sales return, presentation, sales return, and revision approval are composed, portrait rights use uses the user's facial information, sales return is the sales return on the portrait rights, presentation presents the sales return, and revised approval is the sales return Approve the modification.

In the step 100 of requesting approval from the portrait right holder, the model rights contract application presents the sales return on the use of the portrait right, and modifies and approves the sales return upon request for modification of the sales return.

11 is an exemplary view showing a step of approval and authentication.

Confirmation of uploaded author and approval of subscribed/registered uploader consist, confirmation of uploaded artist confirms the artist uploading user facial information, and approval of subscription/registered uploader approves the subscribed/registered uploader.

The portrait right contract application checks the uploader in step 110 of accepting and authenticating the uploader, and approves the registered/registered uploader.

It consists of the rate of return, approval/modification, and request, and the rate of return is the rate of return obtained by the portrait holder uploading user facial information, approval/modification is the rate of return approval/modification, and request is the rate of approval/modification.

The model rights contract application approves/rejects the request when approval/modification is requested for the rate of return.

12 is an exemplary view showing a step of requesting information on a portrait right holder.

The phone number or e-mail, portrait holder information, and storage are composed, and the communicable identifier such as a phone number or e-mail, eye, and notification message is a means of communication such as the phone number or e-mail of the device that the user has, and the portrait holder information is the user Branches are portrait rights holder information, and save stores portrait rights holder information.

The portrait rights contract application stores the portrait rights holder information including an identifier of a communication means such as a phone number or an e-mail in the step 120 of requesting the portrait rights holder information.

It consists of the entered email, a link to create a secured portrait right photo page, and send, and a link to create a secured portrait photo page is sent to the entered email.

The portrait rights contract application sends a link to create a secured portrait rights photo shoot page through the entered email and obtains the user's facial information from the terminal that opened the email.

Consent for portrait rights, facial information, approval for use of portrait rights, photo identification information, user information, and storage are included.Consent for portrait rights photography authorization consents to the authorization to shoot portrait rights, and the portrait rights facial information is the user's face, portrait rights The use authorization approves the use of the user's facial information, the photo identification information is information identifying a picture, the user information is user information, and the storage stores user information.

The portrait rights contract application stores user information including any one or more of consent for portrait rights shooting authentication, portrait rights facial information, approval for use of portrait rights, and photo identification information.

13 is an exemplary diagram for approving an uploader that has not been subscribed/registered.

Consent for the use of portrait rights, consent for use of portrait rights information, authorization for use of portrait rights, and reception are composed, and consent for portrait rights photography is a document that consents to the authorization to shoot portrait rights, and the consent to use portrait rights information. The portrait right photography authentication authenticates that the portrait right is photographed, and the reception receives the portrait right photography authentication.

The portrait rights contract application receives portrait rights photography authentication, including consent for portrait rights photography and a consent to use portrait rights information.

Application download and subscription recommendation is to download the application and invite subscription.

The model rights contract application recommends downloading the application and signing up for the uploader 130 that is not subscribed/registered. In the case of a user who has not downloaded the application, the portrait rights contract application performs contract notification and facial information authentication through service usage and rights usage conditions.

14 is an overall flowchart of a method for contracting a model right.

The model rights contract method includes a determination algorithm 50 using internal information, a determination algorithm 60 using external information, user information registration and login step 80, a portrait right holder candidate list step 90, and a request for approval from a portrait right holder. (100), the step of accepting and authenticating the uploader (110), the step of requesting information on the portrait right holder (120), and processing of the uploader 130 that is not registered/registered.

Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art will variously modify and change the present invention within the scope not departing from the spirit and scope of the present invention described in the following claims. You will understand that you can do it.

50: metadata
60: judgment algorithm using external information
70: Determination of reliability using video
80: User information registration and login steps
90: Steps to list candidates for portrait rights
100: Steps to request approval from the portrait holder
110: Step of accepting and authenticating the uploader
120: Steps for requesting portrait rights information
130: Registered/Unregistered Uploader

Claims (16)

As a model rights contract method provided through a model rights contract application operated by a server, the model rights contract application,
In the production and storage of content in the service, entering a portrait right holder verification step when registering a portrait right on the produced content; Selecting a portrait right holder in the step of confirming a portrait right holder; Requesting approval for the selected portrait right holder; And after requesting approval, inputting conditions for distribution of rights and registering the portrait rights; including,
The step of requesting approval for the selected portrait right holder may include a user authentication step including a content producer; And uploading the user's facial information taken by the user's device to the server,
The uploading of the user facial information to the server may include: authenticating the device for uploading the user facial information by the portrait rights contract application, combining the user authentication with the device authentication, and storing the authentication information in the server. Including ;,
The uploading of the user's facial information to the server may include, by the model rights contract application, transmitting, by the model rights contract application, information about a model right holder prediction candidate for the user facial information; Requesting approval from the portrait right holder if there is information about the portrait right holder prediction candidate; After requesting approval, if the person is a registered portrait right holder, the step of approving and authenticating the use of the portrait right holder facial information; And requesting information on the portrait right holder if the portrait right holder is not registered; further includes,
The requesting the portrait rights holder information may include: storing, by the portrait rights contract application, information about the portrait rights holder including at least one communicable identifier of a phone number, an email address, an SNS, and a notification message; Sending a link to create a secured portrait right photographing page to the inputted identifier by the above communication enabled method; And storing user information including any one or more of a portrait right photography authentication consent, portrait right facial information, permission to use a portrait right, and photo identification information.
The method of claim 1,
The step of selecting the portrait right holder
And selecting the corresponding portrait right holder from previously registered candidate portrait right holders.
delete delete The method of claim 1,
Uploading the user's facial information,
Including, the model rights contract application, determining the reliability based on the uploaded user face information.
The method of claim 5,
In the reliability determination step, the model rights contract application,
Collecting internal and external information of the user's facial information;
Determining reliability through a determination algorithm using the internal information;
Determining reliability through a determination algorithm using the external information;
Determining whether the user's facial information is authentic or not if there is no duplication; And
If there is a duplicate, the step of verifying whether the duplicate photo is the person; Containing, portrait rights contract method.
The method of claim 6,
The determination algorithm using the internal information,
The internal information matches a certain percentage or more by using the internal information, which is metadata including any one or more of file creation date, file content, resolution, codec/encoding information, device OS version, GPS information, device device name, and content producer Including, the model rights contract method;
The method of claim 6,
The determination algorithm using the external information,
Determining a file extension having a coding that can be generated for each device OS;
Tracking the path for storing the file to determine whether it is actually generated user facial information or downloaded user facial information; And
Determine whether the file name is directly generated or downloaded user facial information by determining the file name for each program or app that creates the file; The model rights contract method using the judgment selected from among them.
delete The method of claim 1,
In the uploading step, the model rights contract application,
Registering and logging in user information including at least one of e-mail, biometric authentication, and simple login;
Inputting additional information including one or more of name, gender, birthday, age, occupation, and location information; And
Including, receiving permission to access a media folder with the identification information of the device, and uploading the user's facial information to a server.
delete The method of claim 1,
The step of requesting approval from the portrait right holder, the portrait right contract application,
Presenting a rights ratio, such as a sales return on the use of a portrait right; And
Containing, modifying and approving the sales rate of return.
The method of claim 1,
In the step of authenticating the approval, the portrait rights contract application,
Confirming a content producer and then approving a user including a subscribed/registered uploader;
Requesting approval/modification of the rate of return; And
Containing; approval / rejection of the request, the model rights contract method.
delete The method of claim 13,
In the step of approving the uploader, the portrait rights contract application,
In approving uploaders that are not registered/registered,
Receiving a portrait right photography authentication including a portrait right photography authentication consent and a portrait right information use agreement;
Downloading the application and recommending subscription; And
Containing; model rights contract method comprising; performing contract notification and facial information authentication through service usage and rights usage fees for users who have not downloaded the application.
A computer-readable recording medium on which a program for performing the method according to any one of claims 1, 2, 5 to 8, 10, 12 to 13, and 15 is recorded. .

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