AI-generated picture supervision method and system based on blockchain and image recognition technology

Abstract

The application provides an AI generated picture supervision method based on a blockchain and an image recognition technology, constructs a blockchain smart contract, chains a full link from a model calling to picture generation, accesses the image recognition technology to automatically judge illegal pictures, and allows a supervision department to trace back according to a digital fingerprint of the picture, so that a model or a user is punished and adjusted. The problem that the prior art cannot efficiently supervise the legality of the pictures generated by the AI is improved.

Description

TECHNICAL FIELD

[0001] The application relates to the field of artificial intelligence, in particular to an AI generated picture supervision method and system based on a blockchain and image recognition technology. BACKGROUND

[0002] With the continuous development of artificial intelligence technology, AI generated pictures are widely used because of their fast speed and low cost, that is, a picture can be generated in a few seconds. However, the application of artificial intelligence technology for AI generated pictures is also abused to some extent, for example, to make false images to deceive or mislead the public. Meanwhile, AI models are owned by various enterprises, and there is currently a lack of unified supervision scheme.

[0003] Due to the characteristics of decentralization and non-tamperability of the blockchain technology, there are some applications in the Internet supervision, but there is still a lack of supervision of AI generated pictures, so there is no good scheme in the prior art to supervise the pictures generated by AI technology. Moreover, the pictures generated by AI technology cannot be traced, which leads to the abuse of AI picture generation technology.

[0004] The above problems are urgent to be solved. SUMMARY

[0005] The application aims to provide an AI generated picture supervision method and system based on a blockchain and image recognition technology to improve the prior art and efficiently supervise and trace the pictures generated by AI technology, thereby helping to strengthen the supervision of the Internet.

[0006] The technical scheme adopted by the application to solve the technical problem is that: on the one hand, the application provides an AI generated picture supervision method based on a blockchain and image recognition technology, which comprises the following steps: S110: constructing a supervision blockchain network; S120: deploying a supervision smart contract on the supervision blockchain network; S130: receiving an authorization request for using an AI picture generation model sent by a user to the supervision smart contract; S140: verifying the authorization request by the supervision smart contract to generate a verification result; S150: determining whether to authorize the user to use the AI picture generation model based on the verification result; S160: in response to authorizing the user to use the AI picture generation model, generating picture data corresponding thereto; S170: judging whether the generated picture data is compliant by the supervision smart contract; S180: in response to the compliance of the generated picture data, displaying the picture data and storing information corresponding to the picture data in the supervision blockchain network; and S190: tracing and supervising the information stored on the supervision blockchain network.

[0007] Optionally, the step S110 comprises: S1101, establishing a corresponding alliance blockchain network according to the scope of supervision and the involved agencies; S1102, granting different authorities to different agencies.

[0008] Optionally, the step S120 comprises: S1201, designing the smart contract to contain one or a combination of the functions of authorized use of an AI picture generation model, picture discrimination, picture storage, and picture traceability; S1202, deploying the designed smart contract to the supervision blockchain network.

[0009] Optionally, the step S140 comprises: S1401, obtaining user information based on the authorization request, the user information comprising one or a combination of user signature, user status, and model status; S1402, verifying the user information to generate a verification result.

[0010] Optionally, the step S160 comprises: S1601, in response to authorization of the user to use the AI picture generation model, sending authorization information to the user; S1602, the user calling the AI picture generation model with the authorization information; S1603, the AI picture generation model automatically generating corresponding picture data.

[0011] Optionally, the step S170 comprises: S1701, the AI picture generation model automatically calling the picture recognition interface of the supervision smart contract after generating the picture data; S1702, the supervision smart contract directly outputting a bool value of whether it is compliant after processing the picture data based on a picture recognition algorithm; S1703, judging whether the generated picture data is compliant based on the bool value.

[0012] Optionally, the step S180 comprises: S1801, converting the generated picture data into a digital fingerprint using a hash algorithm; S1802, binding the digital fingerprint with the generated picture data and uploading to the IPFS network for storage; S1803, binding the digital fingerprint, AI picture generation model identifier, AI picture generation model caller information, and timestamp information and storing in the supervision blockchain network.

[0013] Optionally, the method further comprises: S1100, in response to the generated picture data being non-compliant, not displaying the generated picture data and returning a failure prompt to the user.

[0014] Optionally, the step S190 includes: S1901, calling the AI picture generation model identifier, the AI picture generation model caller information and the timestamp information bound thereto in the blockchain network based on the digital fingerprint of the generated picture; S1902, calling the picture data bound thereto in the IPFS network based on the numerical fingerprint of the generated picture; S1903, tracing and supervising the generated picture data based on the AI picture generation model identifier, the AI picture generation model caller information, the timestamp information and the picture data.

[0015] In another aspect, the present application provides an AI generated picture supervision system based on blockchain and image recognition technology, the system comprising: a construction unit adapted to construct a supervision blockchain network; a deployment unit adapted to deploy a supervision smart contract on the supervision blockchain network; a receiving unit adapted to receive an authorization request for using an AI picture generation model sent by a user to the supervision smart contract; a verification unit adapted to verify the authorization request by the supervision smart contract to generate a verification result; an authorization unit adapted to determine whether to authorize the user to use the AI picture generation model based on the verification result; a generated picture data unit adapted to generate picture data corresponding thereto in response to authorizing the user to use the AI picture generation model; a judgment unit adapted to judge whether the generated picture data is compliant by the supervision smart contract; a storage unit adapted to display the picture data and store information corresponding to the picture data into the supervision blockchain network in response to the generated picture data being compliant; a tracing and supervision unit adapted to trace and supervise the information stored on the supervision blockchain network.

[0016] In yet another aspect, the present application provides a computer readable storage medium, the computer readable storage medium having one or more instructions stored therein, the computer instructions being used to make the computer execute the above-mentioned AI generated picture supervision method based on blockchain and image recognition technology.

[0017] In still another aspect, the present application provides an electronic device, comprising: a memory and a processor; the memory has at least one program instruction stored therein; the processor loads and executes the at least one program instruction to realize the above-mentioned AI generated picture supervision method based on blockchain and image recognition technology.

[0018] The beneficial effects of the present application are: the present application provides an AI generated picture supervision method based on a blockchain and image recognition technology, the method comprises: S110: constructing a supervision blockchain network; S120: deploying a supervision smart contract on the supervision blockchain network; S130: receiving an authorization request for using an AI picture generation model sent by a user to the supervision smart contract; S140: the supervision smart contract verifies the authorization request to generate a verification result; S150: determining whether to authorize the user to use the AI picture generation model based on the verification result; S160: in response to authorizing the user to use the AI picture generation model, generating picture data corresponding thereto; S170: the supervision smart contract judges whether the generated picture data is compliant; S180: in response to the generated picture data being compliant, displaying the picture data and storing information corresponding to the picture data in the supervision blockchain network; S190: tracing and supervising the information stored on the supervision blockchain network. By constructing a blockchain smart contract, the model is called, and the picture is chained on the whole link, the image recognition technology is accessed to automatically judge illegal pictures, and the supervision department is allowed to trace back according to the digital fingerprint of the picture, so as to punish and adjust the model or the user. The problem that the prior art cannot efficiently supervise the legality of the pictures generated by AI is improved. BRIEF DESCRIPTION OF DRAWINGS

[0019] The present application will be further described below in conjunction with the drawings and examples.

[0020] Figure 1 is a flowchart of the AI generated picture supervision method based on a blockchain and image recognition technology provided by the present application.

[0021] Figure 2 is a schematic diagram of the AI generated picture supervision system based on a blockchain and image recognition technology provided by the present application.

[0022] Figure 3 is a partial principle block diagram of the electronic device provided by the present application. DETAILED DESCRIPTION

[0023] Before the example embodiments are discussed in more detail, it should be mentioned that some example embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations as sequential processes, many of the operations can be implemented in parallel, concurrently or simultaneously. In addition, the order of the operations can be rearranged. The processes can be terminated when their operations are completed, but can also have additional steps not included in the drawings. The processes can correspond to methods, functions, procedures, subroutines, subprograms, etc.

[0024] It should be understood that, although the terms "first", "second" or the like can be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the example embodiments. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0025] The application will now be described in detail with reference to the drawings. The diagram is a simplified schematic diagram, and only schematically illustrates the basic structure of the application, and thus only shows the components related to the application.

[0026] For ease of understanding, the professional terms appearing below are explained:

[0027] IPFS: (InterPlanetary File System, Interplanetary File System), a peer-to-peer distributed file storage system, the vision of IPFS is to build a distributed network all over the world to replace the traditional centralized server mode, all IPFS nodes form a distributed network, each node can store files, users can get files from the network built by IPFS in the form of DHT (Distributed Hash Table), thus realizing a new generation of completely decentralized network, aiming to replace the existing World Wide Web. IPFS has rich functions, such as DHT networking, file storage, Bitswap file exchange and other functions.

[0028] Hash algorithm: mapping binary values of arbitrary length to shorter fixed-length binary values, this small binary value is called hash value. Hash value is a unique and extremely compact numerical representation of a piece of data. If a piece of plaintext is hashed and even if only one letter in the paragraph is changed, the subsequent hash will produce a different value. It is computationally impossible to find two different inputs that hash to the same value, so the hash value of the data can verify the integrity of the data. It is generally used for fast lookup and encryption algorithm.

[0029] Digital Fingerprint: refers to embedding different logo identification codes-fingerprint into digital media using digital watermarking technology, and then distributing the digital media embedded with the fingerprint to users, which is information related to users and a certain purchase process. The basic principle of digital fingerprint is to use a one-way hash function (hash function) to operate on the transmitted information to generate a fixed-length digital digest. Digital fingerprint is not an encryption mechanism, but can be used to determine whether the data has been tampered with, thereby ensuring the integrity of the information is not damaged.

[0030] Smart Contract: refers to an agreement that can automatically execute tasks that need to be manually completed. A smart contract is any agreement that can perform some functions automatically. For example, a contract that can automatically calculate the amount of money owed to the parties to the contract and arrange for the payment of the amount. Smart contracts will reduce human intervention in the execution of agreements.

[0031] Embodiment 1

[0032] Please refer to Figure 1 The AI-generated picture supervision method flowchart based on blockchain and image recognition technology described in the embodiments of the present application.

[0033] As an example, the method comprises: S110: constructing a supervision blockchain network; S120: deploying a supervision smart contract on the supervision blockchain network; S130: receiving an authorization request for using an AI picture generation model sent by a user to the supervision smart contract; S140: the supervision smart contract verifies the authorization request to generate a verification result; S150: determining whether to authorize the user to use the AI picture generation model based on the verification result; S160: in response to authorizing the user to use the AI picture generation model, generating picture data corresponding thereto; S170: the supervision smart contract determines whether the generated picture data is compliant; S180: in response to the generated picture data being compliant, displaying the picture data and storing information corresponding to the picture data in the supervision blockchain network; S190: tracing and supervising the information stored on the supervision blockchain network.

[0034] Optionally, the step S110 comprises:

[0035] S1101: building a corresponding consortium blockchain network according to the scope of supervision and the involved institutions; S1102: granting different authorities to different institutions. Wherein, granting different authorities to different institutions can include: when the institution is a supervisor, it can be granted read permission, and when the institution is an owner of an AI generation model, it can be granted read and write permissions.

[0036] Optionally, the step S120 comprises:

[0037] S1201: design the smart contract to contain one or a combination of the following functions: authorized use of an AI picture generation model, picture discrimination, picture storage, picture traceability; S1202: deploy the designed smart contract to a regulatory blockchain network. Specifically, the purpose of this step is to make the smart contract deployed on the blockchain network contain at least the following four functions: authorized use of an AI model, picture discrimination, picture storage, and picture traceability. It should be noted that the specific functions contained in the smart contract are not limited here, and subsequent technical personnel can add different method functions based on actual needs.

[0038] Optionally, the step S140 comprises:

[0039] S1401: obtain user information based on the authorization request, the user information including one or a combination of user signature, user state, and model state; S1402: verify the user information to generate a verification result. Specifically, the use permission is determined according to the user's information, and a user signature is uploaded when the blockchain is called. Specifically, the user signature can be encrypted and decrypted by key, and finally the use permission of the user is determined based on the decrypted user signature. Specifically, identity authentication can be achieved using OAuth, OpenID Connect, etc. standards. Since OAuth, OpenID Connect, etc. standards are very mature in the prior art, they are not described here.

[0040] Optionally, generating a verification result can include: determining whether the user signature is valid, determining whether the user's signature is consistent with the pre-stored data, and if consistent, authorizing the user to use the AI picture generation model, and if inconsistent, not authorizing the user to use the AI picture generation model. That is, only when the user's information can be successfully verified, the user can use the AI picture generation model for subsequent operations, which helps to trace the generated picture, and further ensures the compliance of the generated picture.

[0041] Optionally, the step S160 comprises:

[0042] S1601: In response to the authorization of the user to use the AI picture generation model, the authorization information is sent to the user; S1602: the user calls the AI picture generation model with the authorization information; S1603: the AI picture generation model automatically generates picture data corresponding thereto. Specifically, when the user wants to use an AI picture generation model (such as a certain generative adversarial network) of a certain public service to generate a picture, the platform first sends a request to authorize the use of the AI picture generation model to the smart contract with the user's signature, the supervisory smart contract judges the user's legality according to the user's signature, and judges the model state, if the user and the model are both legal, the authorization information is sent, and the AI picture generation model platform receives the authorization information and then generates the picture. After the picture is generated, it will not be displayed to the user immediately, but will first call the picture discrimination interface of the smart contract.

[0043] Optionally, the step S170 includes:

[0044] S1701: The AI picture generation model automatically calls the picture recognition interface of the supervisory smart contract after generating the picture data; S1702: The supervisory smart contract directly outputs a bool value of whether it is compliant after processing the picture data based on the picture recognition algorithm; S1703: Determine whether the generated picture data is compliant based on the bool value. Specifically, after the smart contract receives the picture discrimination request, the illegality of the picture is discriminated through algorithms such as target detection and convolutional neural network. This function is dynamically pluggable, and the identification algorithm and process can be improved over time. If the generated picture is determined to be non-compliant, the generated picture will not be displayed to the user, but a picture non-compliant information will be returned. If the generated picture is compliant, the generated picture is displayed to the user and the picture link interface is called.

[0045] Optionally, the step S180 includes:

[0046] S1801: The generated picture data is converted into a digital fingerprint by using a hash algorithm; S1802: The digital fingerprint is bound with the generated picture data and uploaded to the IPFS network for storage; S1803: The digital fingerprint, AI picture generation model identifier, AI picture generation model caller information and timestamp information are bound and stored in the supervisory blockchain network. Specifically, because the picture is too large to be directly chained, that is, it cannot be directly stored in the blockchain network, the generated picture is first subjected to a hash algorithm to generate a string of digital fingerprints (hash values), and then the generated picture and the hash value are bound and uploaded to the IPFS network, and finally the hash value, user information, AI model identifier, and timestamp are bound and uploaded to the blockchain network for storage.

[0047] Optionally, the blockchain network and the IPFS network are two independent networks pre-configured in the server, and the digital fingerprint and the generated picture are bound and uploaded to the IPFS network for storage. The IPFS can improve the reliability and transmission speed of data by splitting the file into multiple small blocks and storing them in the network. In addition, the generated picture is converted into a digital fingerprint by using a hash algorithm, which can ensure that the digital fingerprint has the characteristics of irreversibility and uniqueness.

[0048] Optionally, the step S190 includes:

[0049] S1901: Based on the digital fingerprint of the generated picture, the AI picture generation model identifier, the AI picture generation model caller information and the timestamp information bound thereto are called in the blockchain network; S1902: Based on the digital fingerprint of the generated picture, the picture data bound thereto is called in the IPFS network; S1903: The generated picture data is traced and supervised based on the AI picture generation model identifier, the AI picture generation model caller information, the timestamp information and the picture data. Specifically, if the supervisor finds that the AI-generated picture on the Internet is non-compliant in the subsequent period, but since the picture has been displayed to the user, it means that the picture has passed the picture discrimination model, that is, there may be a case that the picture discrimination model is wrong. At this time, the supervisor can call the picture tracing function of the smart contract, and the smart contract will automatically calculate the digital fingerprint of the picture, and based on the digital fingerprint, the information chained in the blockchain network is obtained, that is, based on the digital fingerprint, the user information, model information and timestamp information bound thereto stored in the blockchain network are obtained, and the generated picture data bound to the digital fingerprint in the IPFS network is obtained. The supervisor can supervise and punish the user or the model according to the specific circumstances based on the AI picture generation model identifier, the AI picture generation model caller information, the timestamp information and the picture data. That is, the supervision department can access the data on the blockchain through the query interface to query the picture data generated by a user in a certain period of time, and then analyze whether the picture data is compliant. If it is not compliant, trace the user and the model, and determine whether the illegal information is caused by the user or the model. If it is caused by the user, the user is restricted from calling again, or even legal responsibility is investigated; if it is caused by the model, the model is restricted from being called again.

[0050] According to the above embodiments of the present application, the blockchain smart contract is constructed, the model is called, and the picture is generated, and the whole link is chained. The image recognition technology is used to automatically judge the illegal picture, and the supervision department is allowed to trace according to the digital fingerprint of the picture, so as to punish and adjust the model or the user. The problem that the existing technology cannot efficiently supervise the legality of the AI-generated picture is improved.

[0051] Embodiment 2

[0052] Please refer to 2, the embodiment provides an AI generated picture supervision system based on a blockchain and image recognition technology.

[0053] As an example, the system comprises:

[0054] The construction unit 210 is suitable for constructing a supervision blockchain network.

[0055] The deployment unit 220 is suitable for deploying a supervision smart contract on the supervision blockchain network.

[0056] The receiving unit 230 is suitable for receiving an authorization request for using an AI picture generation model sent by a user to the supervision smart contract.

[0057] The verification unit 240 is suitable for the supervision smart contract to verify the authorization request to generate a verification result.

[0058] The authorization unit 250 is suitable for determining whether to authorize the user to use the AI picture generation model based on the verification result.

[0059] The generated picture data unit 260 is suitable for generating picture data corresponding thereto in response to authorizing the user to use the AI picture generation model.

[0060] The judgment unit 270 is suitable for the supervision smart contract to judge whether the generated picture data is compliant.

[0061] The storage unit 280 is suitable for displaying the picture data and storing information corresponding to the picture data in the supervision blockchain network in response to the generated picture data being compliant.

[0062] The traceability and supervision unit 290 is suitable for tracing and supervising the information stored on the supervision blockchain network.

[0063] Embodiment 3

[0064] The embodiment of the application also provides a computer readable storage medium, the computer readable storage medium has one or more instructions stored therein, and the tea making machine temperature control program is executed by a processor to implement the steps of the AI generated picture supervision method based on a blockchain and image recognition technology as described above. Since the storage medium adopts all the technical solutions of the above embodiments, it at least has all the beneficial effects brought by the technical solutions of the above embodiments, which will not be repeated here.

[0065] Embodiment 4

[0066] Please refer to Figure 3The embodiment of the present application also provides an electronic device, comprising: a memory 302 and a processor 301; at least one program instruction is stored in the memory 302; and the processor 301 loads and executes the at least one program instruction to realize the AI generated picture supervision method based on the blockchain and the image recognition technology provided in the embodiment 1.

[0067] The memory 302 and the processor 301 are connected in a bus mode, and the bus can include any number of interconnected buses and bridges, and the bus connects various circuits of one or more processors 301 and memories 302 together. The bus can also connect various other circuits such as peripheral devices, voltage stabilizers and power management circuits together, which are well known in the art, and therefore, further description thereof will not be given herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be one element or multiple elements such as multiple receivers and transmitters, which provide units for communicating with various other devices on the transmission medium. The data processed by the processor 301 is transmitted on the wireless medium through the antenna, and further, the antenna also receives data and transmits the data to the processor 301.

[0068] The processor 301 is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interface, voltage regulation, power management and other control functions. And the memory 302 can be used to store the data used by the processor 301 in the execution operation.

[0069] The above is only an embodiment of the present application, and the common knowledge of the specific structure and characteristics in the scheme is not described in detail here. The person skilled in the art knows all the ordinary technical knowledge in the technical field of the application before the application date or the priority date, can know all the prior art in the field, and has the ability to apply conventional experimental means before the date. The person skilled in the art can improve and implement the present scheme under the guidance of the present application, and the typical known structure or known method should not be an obstacle for the person skilled in the art to implement the present application. It should be pointed out that, for those skilled in the art, without departing from the structure of the present application, a number of modifications and improvements can be made, which should be regarded as the protection scope of the present application, and these will not affect the effect and practicality of the patent. The protection scope of the present application should be subject to the content of its claims, and the specific implementation mode and the like in the specification can be used to explain the content of the claims.

Claims

1. An AI-generated picture supervision method based on a blockchain and image recognition technology, characterized by, The method comprises: S110: constructing a regulatory blockchain network; S120: deploying a regulatory smart contract on the regulatory blockchain network, the smart contract containing functions of authorized use of an AI picture generation model, picture discrimination, picture storage, and picture traceability; S130: receiving an authorization request for authorized use of an AI picture generation model sent by a user to the regulatory smart contract; S140: the regulatory smart contract verifying the authorization request to generate a verification result; S150: determining whether to authorize the user to use the AI picture generation model based on the verification result; S160: generating picture data corresponding to the user in response to authorizing the user to use the AI picture generation model; S170: the regulatory smart contract determining whether the generated picture data is compliant; S180: displaying the picture data and storing information corresponding to the picture data in the regulatory blockchain network in response to the generated picture data being compliant; S190: tracing and supervising the information stored on the regulatory blockchain network. 2.The AI-generated picture supervision method based on blockchain and image recognition technology according to claim 1, characterized in that, The step S110 comprises: S1101: building a corresponding consortium blockchain network according to the scope of supervision and the involved institutions; S1102: granting different authorities to different institutions. 3.The AI-generated picture supervision method based on blockchain and image recognition technology according to claim 1, characterized in that, The step S120 comprises: S1201: designing the smart contract to contain one or a combination of functions of authorized use of an AI picture generation model, picture discrimination, picture storage, and picture traceability; S1202: deploying the designed smart contract to the regulatory blockchain network. 4.The AI-generated picture supervision method based on blockchain and image recognition technology according to claim 1, characterized in that, The step S140 comprises: S1401: obtaining user information based on the authorization request, the user information including one or a combination of user signature, user status, and model status; S1402: verifying the user information to generate a verification result. 5.The AI-generated picture supervision method based on blockchain and image recognition technology according to claim 1, characterized in that, The step S160 comprises: S1601: sending authorization information to the user in response to authorizing the user to use the AI picture generation model; S1602: the user calling the AI picture generation model with the authorization information; S1603: the AI picture generation model automatically generating picture data corresponding thereto. 6.The AI-generated picture supervision method based on blockchain and image recognition technology according to claim 1, characterized in that, The step S170 comprises: S1701: the AI picture generation model automatically calling a picture recognition interface of the regulatory smart contract after generating picture data; S1702: the regulatory smart contract directly outputting a bool value of whether the picture data is compliant based on a picture recognition algorithm; S1703: determining whether the generated picture data is compliant based on the bool value. 7.The AI-generated picture supervision method based on blockchain and image recognition technology according to claim 1, characterized in that, The step S180 comprises: S1801: converting the generated picture data into a digital fingerprint using a hash algorithm; S1802: binding the digital fingerprint with the generated picture data and uploading them to an IPFS network for storage; S1803: binding the digital fingerprint, an AI picture generation model identifier, AI picture generation model caller information, and timestamp information and storing them in the regulatory blockchain network. 8.The AI-generated picture supervision method based on blockchain and image recognition technology according to claim 1, characterized in that, The method further comprises: S1100: In response to the generated picture data being non-compliant, the generated picture data is not displayed, and a failure prompt is returned to the user. 9.The AI-generated picture supervision method based on blockchain and image recognition technology according to claim 1, characterized in that, The step S190 includes: S1901: Based on the digital fingerprint of the generated picture, calling the AI picture generation model identifier, AI picture generation model caller information and timestamp information bound thereto in the blockchain network; S1902: Based on the numerical fingerprint of the generated picture, calling the picture data bound thereto in the IPFS network; S1903: Based on the AI picture generation model identifier, AI picture generation model caller information, timestamp information and picture data, tracing and supervising the generated picture data.

10. An AI-generated picture supervision system based on a blockchain and image recognition technology, characterized by, The system includes: A construction unit adapted to construct a supervision blockchain network; A deployment unit adapted to deploy a supervision smart contract on the supervision blockchain network, the smart contract containing authorized use of AI picture generation model, picture discrimination, picture storage and picture tracing functions; A receiving unit adapted to receive an authorization request for authorized use of an AI picture generation model sent by a user to the supervision smart contract; A verification unit adapted to verify the authorization request by the supervision smart contract to generate a verification result; An authorization unit adapted to determine whether to authorize the user to use the AI picture generation model based on the verification result; A generated picture data unit adapted to generate picture data corresponding thereto in response to the user being authorized to use the AI picture generation model; A judgment unit adapted to judge whether the generated picture data is compliant by the supervision smart contract; A storage unit adapted to display the picture data and store information corresponding to the picture data in the supervision blockchain network in response to the generated picture data being compliant; A tracing and supervision unit adapted to trace and supervise the information stored on the supervision blockchain network.

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