Management system for cosmetic surgery image data

A blockchain-based system for managing and trading cosmetic surgery facial image data using NFTs addresses the challenge of data acquisition and utilization, ensuring secure and authentic transactions.

JP2025015287AActive Publication Date: 2025-01-30CROWNSTRATEGY CO LTD
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Patent Information

Application Number
JP2023118607
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2023-07-20
Publication Date
2025-01-30
Estimated Expiration
2043-07-20

AI Technical Summary

Technical Problem

Cosmetic surgery clinics face difficulties in obtaining and managing facial image data for use in web advertisements and case photos, and there is a need for a secure and efficient system to buy and sell such data.

Method used

A system utilizing a server connected to a user terminal and blockchain for managing and trading facial image data before and after surgery, using non-fungible tokens (NFTs) to securely and transparently transfer ownership and transaction records.

Benefits of technology

Facial image data can be securely managed and traded, ensuring authenticity and preventing falsification, allowing clinics to easily acquire and utilize valuable case photos for marketing purposes.

✦ Generated by Eureka AI based on patent content.

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Abstract

To provide a system and a method for easily performing appropriate management and transaction of digital data including a face image of a user before and after surgery.SOLUTION: A method includes the means of: acquiring at least two pieces of face image data before and after surgery of a user's face transmitted from a user's terminal and recording a shooting date, a name, address and other identification information of the user himself / herself, information about a clinic at which the user receives surgery, and information about an own electronic wallet owned by the user, and collecting these pieces of information as user's medical chart information; issuing a NFT based on data of the medical chart information in a block chain; exhibiting the NFT to a transactable platform; and storing a sales transaction record of the NFT and transmitting a cryptographic asset obtained from a NFT buyer to the user's electronic wallet when a NFT transaction is established on the platform.SELECTED DRAWING: Figure 4
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Description

[Technical field]

[0001] The present invention relates to a system for managing face image data before and after cosmetic surgery and a method for managing face image data before and after cosmetic surgery. [Background technology]

[0002] In businesses targeting general consumers, the display content of a business's web pages and web advertisements is an important factor in increasing the number of customers. When creating such web pages, it is particularly useful to include photos of people's faces. As a technology related to this point, for example, there is a device that collects photo data including facial images and displays them on a product sales screen on a web page (see Patent Document 1 below). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2016-81156 A Summary of the Invention [Problem to be solved by the invention]

[0004] In recent years, the growing awareness of beauty has led to an increasing demand for cosmetic surgery clinics that perform surgery (cosmetic surgery) aimed at improving appearance. Web pages, web advertisements, and beauty magazines related to such cosmetic surgery clinics often post facial images of patients before and after surgery (so-called before and after photos) as case photos so that users of the cosmetic surgery clinic can easily imagine the effects of the surgery. However, it is not easy for cosmetic surgery clinics that create web pages, etc. to obtain facial image data that is useful for the case photos to be posted and that can be made publicly available, and there is a need to easily obtain and use such facial image data.

[0005] On the other hand, there are cases where the patient wishes to properly manage such image data of his / her own face and to trade it for profit. Therefore, the present invention aims to provide a system and method that enables a user who is a patient of cosmetic surgery to easily properly manage and trade digital data including the user's facial images before and after surgery. [Means for solving the problem]

[0006] In order to achieve the above object, the present invention provides a system that has a server connected to a user terminal and a blockchain via a communication network, and uses a blockchain to manage face image data of a user who is a recipient of cosmetic surgery before and after surgery, and transactions of face image data, the server comprising: 1. At least two sets of facial image data of the user's face before and after surgery, transmitted from the user terminal and recorded with the date of capture; 2. Your name, address and other identifying information; 3. Information about the clinic where the user underwent surgery; 4. Information about the User's electronic wallet; The system comprises: a means for acquiring each of the information 1 to 4 above and compiling this information as the user's medical record information; a means for issuing an NFT (Non-Fungible Token) linked to the medical record information data in the blockchain; a means for listing the NFT on a platform where it can be bought and sold; and a means for storing a record of the NFT buying and selling transaction when the buying and selling of the NFT is completed on the platform and for sending the cryptocurrency obtained from the buyer of the NFT to the user's electronic wallet.

[0007] In the above-described system, the facial image data may further include facial image data of the user during downtime.

[0008] The present invention also provides a method for managing face image data of a user who is a recipient of cosmetic surgery before and after surgery and transactions of face image data using a blockchain, using a computer connected to a user terminal and a blockchain via a communication network, the method comprising: 1. Obtaining facial image data of a user who is a recipient of cosmetic surgery before and after surgery; 2. Obtaining the name, address and other identifying information of the user; 3. Obtaining information about the clinic where the user underwent surgery; 4. Obtaining information about the user's electronic wallet; The system performs the steps of compiling each of the information obtained in steps 1 to 4 as the user's medical record information, issuing an NFT linked to the medical record information data in the blockchain, executing processing for a buying and selling transaction of the NFT attached to the medical record information, receiving cryptocurrency from the buyer of the NFT in the transaction, and sending the cryptocurrency sent by the NFT buyer to the user's electronic wallet. Effect of the Invention

[0009] According to the present invention, an NFT is issued that is associated with medical record information data that includes facial image data of a user before and after surgery, thereby allowing the medical record information data to be properly managed in a state in which the authenticity of its contents can be verifiable, and the medical record information data can be easily and safely bought and sold (transaction of ownership), and further allowing the transaction information to be safely managed. [Brief description of the drawings]

[0010] [Figure 1] 1 is a schematic diagram illustrating an example of a configuration of a system according to an embodiment of the present invention. [Diagram 2] FIG. 2 is a block diagram showing the configuration of a server in FIG. 1. [Diagram 3] 2 is a block diagram showing the configuration of a user terminal of FIG. 1. [Figure 4] 13 is a flowchart showing an example of the operation of the medical record information management system. [Diagram 5] FIG. 13 is a diagram showing an example of a confirmation screen for medical record information on a user terminal. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] Hereinafter, an embodiment of the present invention will be described. However, the present invention is not limited to this. Fig. 1 is a schematic diagram showing an example of the configuration of a medical record information management system 100 according to an embodiment. The medical record information management system 100 is a system for managing and trading medical record information including face image data before and after a cosmetic surgery of a user.

[0012] As shown in Fig. 1, the medical record information management system 100 includes a server 10, a blockchain system 20, a user terminal 30, and a purchaser terminal 40. The server 10, the blockchain system 20, the user terminal 30, and the purchaser terminal 40 are connected to each other so as to be able to communicate with each other via a network 50. The network 50 is a communication network including wired or wireless communication lines, such as the Internet or a wireless communication line network.

[0013] 2 is a block diagram showing the configuration of the server 10. The server 10 functions as a device for issuing and trading NFTs associated with users' medical record information. The server 10 has a server-side communication unit 11, a processing unit 12, and a server storage unit 13, which are realized by, for example, a computer. This computer includes a transmitting / receiving device, an arithmetic processing unit such as a CPU, an information storage device such as a hard disk or memory, and the like.

[0014] The server-side communication unit 11 transmits and receives data between the blockchain system 20, the user terminal 30, and the purchaser terminal 40. The processing unit 12 has a medical record information creation unit 12a, an NFT issuing unit 12b, and a buying and selling transaction processing unit 12c, and reads out a predetermined program stored in the server memory unit 13 to execute various processes related to the management and trading of NFTs linked to the medical record information data. That is, the functions of the medical record information creation unit 12a, the NFT issuing unit 12b, and the buying and selling transaction processing unit 12c are configured by executing this program. The server memory unit 13 stores the medical record information data, various data constituting the medical record information, data related to the buying and selling transactions of the medical record information data (e.g., trader information and transaction history), the above-mentioned program that causes the processing unit 12 to execute a predetermined process, and the like.

[0015] The medical record information creation unit 12a acquires each piece of information, such as user face image data, user identification information, clinic information, and electronic wallet information, from the user terminal 30, all of which will be described later, and executes a process of consolidating the acquired various pieces of information, including the user face image data, user identification information, clinic information, and electronic wallet information, into one digital data. This creates the user's medical record information. In this way, the medical record information is digital data that includes the user's face image data, user identification information, clinic information, and electronic wallet information, and is information that includes a progress record of the user who has undergone cosmetic surgery.

[0016] The user face image data is data of a user's face image with a date of photographing recorded. The face image may be an image of the entire face, or an image of a part of the face (e.g., a specific part of the face such as the eyes or nose), or may be, for example, an image of an enlarged part of the surgically operated area. The face image may be a still image such as a photograph, or may be a video. The user face image data includes data of the user's face image before and after cosmetic surgery. For example, the user face image data may include image data of the user's face before cosmetic surgery, image data of the user's face during downtime related to the cosmetic surgery, and image data of the user's face after the downtime has elapsed. Downtime is the period from cosmetic surgery to recovery. That is, cosmetic surgery may cause swelling, internal bleeding, and puffiness in the surgical area immediately after surgery, and the downtime is the time until these symptoms subside and recovery.

[0017] User identification information is information for identifying a user from others, such as the user's name, pen name, address, date of birth, and age at the time of surgery. Clinic information is information about the cosmetic surgery clinic where the user underwent surgery, such as the name of the cosmetic surgery clinic, its address, and information about the doctor employed there (for example, the name of the doctor who performed the user's surgery), and the date and time of the surgery. Electronic wallet information is information about the user's own electronic wallet, such as the wallet address, wallet ID, and user ID of the electronic wallet. An electronic wallet is a virtual wallet for storing and managing virtual currency, which is a cryptocurrency.

[0018] The NFT issuing unit 12b is a processing unit that causes the blockchain system 20 to issue an NFT (Non-Fungible Token) linked to the medical record information data created by the medical record information creating unit 12a. An NFT is a token that has a unique identifier that enables it to be distinguished from other NFTs and has unique value, and is a so-called digital certificate that indicates the authenticity and ownership of the medical record information data linked to it. The NFT is issued based on, for example, ERC721, which is the Ethereum standard, and is stored on the blockchain system 20.

[0019] The buying and selling transaction processing unit 12c executes processing related to the listing of NFTs and the buying and selling of NFTs, i.e., the buying and selling of ownership of medical record information data. Specifically, the buying and selling transaction processing unit 12c puts the NFT linked to the medical record information on the NFT platform (NFT marketplace), executes the buying and selling of the NFT, and receives crypto assets as payment for the transaction from the buyer of the NFT. The buying and selling transaction processing unit 12c then sends the received crypto assets to the user's electronic wallet.

[0020] Returning to FIG. 1, the blockchain system 20 is composed of a plurality of node computers 30a to 30f (six in the example shown in FIG. 1) that communicate with each other in a peer-to-peer (P2P) manner. These plurality of node computers 30a, etc. manage transaction records related to NFTs in a distributed manner using blockchain technology (distributed ledger technology). Specifically, when a block that records the issuance and transaction of an NFT in the blockchain system 20 is recorded as a blockchain on the node computer 30a, etc., the consistency of the hash value included in each block on the blockchain is confirmed by the plurality of node computers 30a, etc. This ensures the consistency of data in the blockchain. Such distributed ledger management of the blockchain system 20 prevents fraudulent transactions related to NFTs and tampering with transaction records.

[0021] FIG. 3 is a block diagram showing the configuration of the user terminal 30. As shown in FIG. 3, the user terminal 30 is a terminal used by a user, and includes an input display unit 31, a terminal side communication unit 32, a control unit 33, a terminal storage unit 34, and an imaging unit 35. The user is a user of the medical record information management system 100 and a patient of cosmetic surgery. The user terminal 30 is an information processing device with a built-in computer, and an application program (hereinafter referred to as "app") that executes a predetermined information processing is installed. The user terminal 30 is, for example, a smartphone or a tablet terminal. The user terminal 30 is not limited to a portable configuration, and may be, for example, a desktop PC. The user terminal 30 includes an input display means such as a touch panel, an information storage device such as a memory, an arithmetic processing device such as a CPU, a transmission / reception device, an imaging means such as a digital camera, and the like.

[0022] The input display unit 10 has an input display screen on which, for example, information received from the server 10 is displayed and which accepts operations by the user through touch to input data such as a face image and instructions from the user. The terminal side communication unit 32 transmits and receives data and crypto assets to and from the server 10. The control unit 33 is a processing unit that executes various information processes according to a program.

[0023] The terminal storage unit 34 stores the above-mentioned programs, data acquired by the user, information such as electronic wallet addresses, electronic wallet account information, etc. The imaging unit 35 captures, for example, the face of the user to acquire face image data.

[0024] The purchaser terminal 40 is a terminal used by a purchaser of an NFT linked to medical record information, and its configuration is similar to that of the above-mentioned user terminal 30. In other words, the purchaser terminal 40 is an information processing device that has a built-in computer and is capable of communicating with the server 10.

[0025] Next, an example of the operation of the medical record information management system 100 will be described with reference to the flowchart of FIG.

[0026] When a user performs a predetermined operation on the user terminal 30, an application installed on the user terminal 30 is launched. When the application is launched, the user's identification information is input to the user terminal 30. At this time, the user's identification information is input, for example, in response to an input operation by the user on an input screen of the application displayed on the user terminal 30. Then, the user terminal 30 transmits the input user's identification information to the server 10 (step 01).

[0027] Furthermore, the user terminal 30 transmits electronic wallet information to the server 10 (step 02). In step 02, electronic wallet information relating to a wallet that has been opened in advance and currently held by the user is transmitted to the server 10.

[0028] The user terminal 30 also acquires a facial image before surgery (step S03). In step S03, facial image data of the user before surgery is acquired using, for example, the imaging unit 35. At this time, the imaging unit 35 captures an image of the entire face or a part of the face including the surgical site. Information on the date of capture is recorded in this facial image data.

[0029] Following step S03, the user terminal 30 transmits pre-surgery facial image data to the server 10 (step S04).

[0030] Once the user has decided on a cosmetic surgery clinic where they will undergo cosmetic surgery, the clinic information is input to the user terminal 30. At this time, the clinic information is input, for example, in response to an input operation by the user on an input screen of an app displayed on the user terminal 30. Then, the user terminal 30 transmits the input clinic information to the server 10 (step 05).

[0031] After the downtime of the cosmetic surgery has elapsed, the user terminal 30 acquires a post-surgery face image (step S06). In step S06, for example, face image data is acquired using the imaging unit 35. At this time, the post-surgery face image acquired by the imaging unit 35 is an image of a face that can be compared with the face in the pre-surgery face image. Therefore, it is preferable that the imaging unit 35 captures the user's face after surgery under the same conditions as when the image was captured before surgery, for example, with respect to various conditions such as the angle and distance of the imaging unit 35 to the user's face, the face capture area (e.g., the part to be captured), focus, brightness (aperture), the resolution of the captured image, and the capture location. By doing so, the appearance before and after surgery can be compared more accurately from the two pre-surgery and post-surgery face images acquired by the imaging unit 35.

[0032] Following step S06, the user terminal 30 transmits post-surgery face image data to the server 10 (step S07).

[0033] As described above, the server 10 receives the facial image data of the user before surgery and the facial image data of the user after the downtime has elapsed, but in addition to these, the data of the facial image of the user acquired by the imaging unit 35 during the downtime may also be transmitted. In this case, the facial image data collected by the server 10 includes the data of the facial image during the downtime. It is also preferable that the facial image during the downtime can be compared with the facial images before and after the surgery, and therefore it is preferable that the imaging unit 35 acquires the facial image during the downtime under the same conditions as when the facial image before the surgery was acquired.

[0034] By executing the above-mentioned steps S01 to S07, information including the user's identification information, electronic wallet information, clinic information, and face image data is collected in the server storage unit 13. Then, the server 10 creates medical record information (step S08). In step S08, the medical record information creation unit 12a executes a process of consolidating the user's identification information, electronic wallet information, clinic information, and face image data into medical record information. Although not shown in FIG. 4, when the server 10 completes the creation of the medical record information, it transmits the data of the medical record information to the user terminal 30. When the user terminal 30 receives the data of the medical record information, it displays a screen for the user to confirm the contents of the medical record information. FIG. 5 is a diagram showing an example of a confirmation screen for the user to confirm the medical record information. As shown in FIG. 5, the confirmation screen displays the user's face image before surgery and the face image after surgery side by side. The user can easily compare the appearance before and after surgery on such a confirmation screen.

[0035] Following step S08, the server 20 executes a process for issuing an NFT (step S09). In step S09, the NFT issuing unit 12b issues an NFT that can be bought and sold on the NFT platform for the data of the medical record information in response to an instruction from the user to issue an NFT (i.e., assigns an NFT to the data of the medical record information). Specifically, the NFT issuing unit 12b stores the created data of the medical record information in the server storage unit 13. Then, the NFT issuing unit 12b registers the NFT in the blockchain of the blockchain system 20. Metadata associated with this NFT includes information (e.g., a URL) for accessing the medical record information in the server storage unit 13, and this URL information is recorded on the blockchain. Note that the NFT issuing unit 12b may transmit the data of the medical record information to an external server and store it in the external server. In this case, the metadata associated with the NFT includes information (e.g., a URL) for accessing the medical record information on the external server, and this URL information is recorded on the blockchain. The NFT issuing unit 12b may also issue an NFT in which the data of the medical record information is described as meta information. In other words, medical record information data may be embedded in the issued NFT.

[0036] Following step S09, the server 10 puts the NFT up for sale on an NFT platform (step S10). In step S10, the buying and selling transaction processing unit 12c puts the NFT issued in step S09 up for sale on an NFT platform for buying and selling. The NFT platform is, for example, Ethereum.

[0037] After step S10, when the buying and selling transaction is completed, the server 10 executes the transaction processing of the NFT (step S11). In step S11, the buying and selling transaction processing unit 12c receives an offer to purchase the put up NFT from the purchaser terminal 40, and when the buying and selling of the NFT is completed between the user and the purchaser, the buying and selling transaction processing unit 12c records the transaction information in the server storage unit 13 and also in the blockchain of the blockchain system 20. As a result, the right holder information of the NFT on the blockchain is rewritten at the same time as the transfer of the NFT. In addition, the buying and selling transaction processing unit 12c receives (accepts) a crypto asset from the purchaser terminal 40 as payment for the purchase of the NFT. A crypto asset is something that has a financial value that can be exchanged over the Internet, such as virtual currency.

[0038] Server 10 sends a portion of the crypto asset received in step S11 to the user's electronic wallet (step S12). In step S12, buying and selling transaction processing unit 12c performs processing to send the crypto asset received from purchaser terminal 40 to the user's wallet address after deducting, for example, server 10's fees. As a result, a portion of the crypto asset received by server 10 from the purchaser is sent to the user's electronic wallet. Note that in step S12, buying and selling transaction processing unit 12c may send all of the crypto asset received from the purchaser to the user's electronic wallet.

[0039] In this way, the medical record information management system 100 issues NFTs linked to the user's medical record information and realizes the buying and selling of NFTs. Note that the operation of the medical record information management system 100 is not limited to the above. For example, each of steps S01 to S12 in the flowchart shown in FIG. 4 may be executed in an order different from that shown in the figure, or multiple steps S01, etc. may be executed simultaneously. Also, some of the steps shown in the figure may be omitted.

[0040] According to the medical record information management system 100 described above, an NFT associated with medical record information including face image data before and after a user's surgery is issued, so that the authenticity of the contents of the medical record information can be proven, and the medical record information data itself associated with the NFT can be prevented from being tampered with, allowing the medical record information data to be managed safely. Furthermore, according to the medical record information management system 100, it is possible to easily carry out buying and selling transactions of medical record information data, and to prevent tampering with the NFT and its transaction history information. Therefore, according to the medical record information management system 100, a user can appropriately manage medical record information data and carry out safe and secure transactions, and further, the transaction information can be managed safely.

[0041] For example, users of cosmetic surgery clinics often change clinics repeatedly because they are not getting the results they expected, making it difficult to exchange medical records in such cases, but with the medical record information management system 100, the user can easily provide the medical record data to which an NFT has been assigned to the new clinic, or the new clinic can purchase it from the above-mentioned NFT platform. This allows the new clinic to use the medical record information, the authenticity of which has been verified, for cosmetic surgery and other procedures performed at the new clinic.

[0042] Furthermore, according to the medical record information management system 100, cosmetic surgery clinics and doctors can easily obtain and use face image data that is useful as case photos to post on their own web pages or in web advertisements and that can be made publicly available.

[0043] In addition, according to the medical record information management system 100, the NFT is linked to the face images before and after surgery as well as clinic information data. That is, when such an NFT is issued, the face images before and after surgery and the associated clinic information are simultaneously displayed in a state in which their authenticity can be verified on the NFT platform. Therefore, a viewer of such display can see at a glance from the face images before and after surgery what kind of cosmetic surgery was performed (i.e., the effect of the surgery), and at the same time, can see from the clinic information which cosmetic surgery clinic performed the cosmetic surgery. Therefore, for cosmetic surgery clinics, by using the medical record information management system 100 to assign NFTs to medical record information related to successful cases of surgery, it is possible to publicize successful cases of surgery and, ultimately, gain a reputation as a clinic with a good reputation.

[0044] Although the embodiment of the present invention has been described above, the technical scope of the present invention is not limited to the above description. Various modifications can be made to the above embodiment without departing from the gist of the present invention. [Explanation of symbols]

[0045] 10 Server 20 Blockchain System 30 User Terminals 50 Communication Network 100 Medical record information management system (system)

Claims

1. A system having a server connected to a user terminal and a blockchain via a communication network, which uses a blockchain to manage face image data of a user who is a recipient of cosmetic surgery before and after surgery, and transactions of the face image data, The server, 1. At least two sets of facial image data of the user's face before and after surgery, the facial image data being transmitted from the user terminal and having the photographing date recorded; 2. Your name, address and other identifying information; 3. Information about the clinic where the user underwent surgery; 4. Information about the User's electronic wallet; A means for acquiring the information in 1. to 4. and compiling the information as a medical record of the user; A means for issuing an NFT (non-fungible token) linked to the medical record information data in the blockchain; A means for listing the NFT on a trading platform; A system for managing the user's pre- and post-surgery facial image data and transactions of the facial image data, comprising: a means for storing a record of the NFT purchase and sale transaction when the NFT purchase and sale is completed on the platform, and a means for sending crypto assets obtained from the buyer of the NFT to the user's electronic wallet.

2. The system for managing facial image data of a user before and after surgery and transactions of the facial image data according to claim 1 , wherein the facial image data further includes facial image data of the user during downtime.

3. A method for managing face image data of a user who is a recipient of cosmetic surgery before and after surgery and transactions of the face image data using a blockchain, using a user terminal and a computer connected to the blockchain via a communication network, comprising: Using the computer, 1. Obtaining facial image data of a user who is a recipient of cosmetic surgery before and after surgery; 2. Obtaining the user's name, address and other identifying information; 3. Obtaining information about the clinic where the user underwent surgery; 4. Obtaining information about the user's electronic wallet; A step of compiling each piece of information acquired in each of steps 1 to 4 as user's medical record information; A step of issuing an NFT (non-fungible token) linked to the medical record information data in the blockchain; A step of executing a transaction for buying and selling NFTs attached to the medical record information data; receiving crypto assets from a buyer of the NFT in the transaction; Sending the cryptocurrency received from the buyer to the user's electronic wallet; A method for managing the user's pre- and post-surgery facial image data and transactions of the facial image data, comprising:

Citation Information

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