Fulian Yitong Technology Applies for Patent on "Digital Blockchain-Based AID Authentication and Anti-Counterfeiting Method" to Enhance Art Circulation Security

Fulian Yitong Technology Applies for Patent on "Digital Blockchain-Based AID Authentication and Anti-Counterfeiting Method" to Enhance Art Circulation SecurityOn January 8, 2025, the State Intellectual Property Office of China revealed that Fulian Yitong Technology Co., Ltd

Fulian Yitong Technology Applies for Patent on "Digital Blockchain-Based AID Authentication and Anti-Counterfeiting Method" to Enhance Art Circulation Security

On January 8, 2025, the State Intellectual Property Office of China revealed that Fulian Yitong Technology Co., Ltd. (hereinafter referred to as "Fulian Yitong") applied for a patent titled "Digital Blockchain-Based AID Authentication and Anti-Counterfeiting Method," with publication number CN119250820A and application date in September 2024. This invention aims to address long-standing challenges in art authentication and anti-counterfeiting, enhancing the security of art circulation and injecting new vitality into the art market.

The patent abstract details the technical process of this method, which comprises six key steps:

Step S1: Art Attribute Data Acquisition

First, the system needs to comprehensively collect attribute data of the artwork. This includes, but is not limited to, the artwork's name, creation date, artist information, material, size, and style. The accuracy and completeness of the data are crucial for subsequent authentication and anti-counterfeiting, thus requiring high precision and rigor. Data acquisition methods can be diverse, such as manual input, database retrieval, and image recognition, with the ultimate goal of obtaining comprehensive and reliable artwork attribute information. To ensure data authenticity and reliability, this step may also involve verification and auditing processes of data sources.

Step S2: Image Data Preprocessing

Collected artwork image data usually contains noise, blur, and other interference information, requiring preprocessing to improve the accuracy of subsequent feature extraction. Preprocessing methods may include image enhancement, denoising, and geometric correction. The specific method selection depends on the image quality and characteristics. The core objective of this step is to transform raw image data into clearer, more easily analyzable preprocessed image data, laying a solid foundation for subsequent feature extraction. The quality of the preprocessing step directly affects the accuracy of the final authentication and anti-counterfeiting results, thus requiring the selection of appropriate algorithms and parameters.

Step S3: Feature Image Data Processing

The preprocessed image data then undergoes feature extraction to obtain feature image data representing the artwork's unique characteristics. This may involve advanced technologies such as image recognition, pattern recognition, and deep learning algorithms like Convolutional Neural Networks (CNNs) to extract texture, color, and shape information from the image. This feature information will be used to generate a unique digital fingerprint for subsequent authentication and anti-counterfeiting. The efficiency and accuracy of feature extraction are crucial in this step. High-efficiency algorithms shorten processing time and improve efficiency; high-accuracy algorithms extract more distinctive feature information, ensuring the reliability of authentication and anti-counterfeiting.

Step S4: Hash Value Generation and Blockchain Storage

The extracted feature image data and other non-image data (e.g., artwork attribute data collected in Step S1) are processed using a hash algorithm to generate a unique hash value. Hash values are unidirectional; generating a hash value from data is easy, but deriving the original data from the hash value is extremely difficult. This hash value, along with the artwork attribute data, is stored on the blockchain, generating an immutable digital authentication certificate. The application of blockchain technology ensures the transparency, security, and immutability of the digital authentication certificate, effectively preventing forgery and tampering. The distributed storage characteristic of the blockchain also enhances data security and reliability.

Step S5: Artwork Identification Code Generation

For convenient artwork identification and management, the system needs to build an identification code conversion model to transform the generated hash value into an easily recognizable artwork identification code. The identification code can be an alphanumeric combination or a QR code, primarily providing a simple and user-friendly identifier for users to easily query and verify the authenticity of the artwork. The identification code generation algorithm must ensure its uniqueness and unpredictability to prevent malicious attacks and forgery.

Step S6: Secure Processing Methods and User Operation Output

Finally, the system needs to output the entire user operation process based on secure processing methods to ensure user operation security and process standardization. This may involve security measures such as user authentication, access control, and data encryption to prevent unauthorized access and operations. Recording and auditing of user operation processes are also important security safeguards.

Established in 2018, Fulian Yitong Technology Co., Ltd. is a Beijing-based company primarily engaged in software and information technology services, with a registered capital of RMB 50 million and a paid-in capital of RMB 42.95 million. According to Tianyancha data, the company has invested in four enterprises, participated in ten bidding projects, holds ten trademarks, nine patents, and three administrative licenses. The application for this digital blockchain-based AID authentication and anti-counterfeiting method patent further demonstrates Fulian Yitong Technology's investment and strength in technological innovation and art authentication and anti-counterfeiting. It provides the art market with a more secure and reliable authentication and anti-counterfeiting solution, helping to improve art circulation efficiency and market transparency. The application of this technology is expected to solve long-standing problems in the art market, such as difficulty in distinguishing authenticity and high transaction risks, contributing to the healthy development of the art market. In the future, as the technology matures and its application expands, it is expected to be applied more widely, providing security for a wider range of artworks.

The successful application of this patent technology marks a significant breakthrough for Fulian Yitong Technology in the field of art anti-counterfeiting and provides new ideas and directions for the digital transformation of the art industry. In the future, with the further development of blockchain and artificial intelligence technologies, this technology is expected to be more widely applied, bringing greater value to the art market. The continuous innovation of Fulian Yitong Technology injects new momentum into the future development of the art industry.