Device and method for locking and authenticating handicraft objects based on unique vibrational signatures

Abstract

The present invention relates to a system and method for intelligently locking and authenticating handicraft objects, the system and method being based on a unique vibrational signature specific to each object. The system comprises three main components: (1) a detection module incorporating a multi-connected WTVB01-BT50 vibration sensor for capturing and analysing, in real time, the specific vibrations of the object, (2) a generation module comprising a programmable vibration generator and a verification box with bidirectional communication, and (3) a distributed storage module using the Blockchain and IPFS to ensure secure traceability of the vibrational signatures while incorporating a generative artificial intelligence model making it possible to optimise authentication by dynamically recalibrating the signatures according to natural alterations of the object, thereby ensuring more accurate identification. In addition, all modifications and interactions are recorded on the Blockchain, ensuring reliable and transparent tracking of the life cycle of the object, while offering effective protection against counterfeiting and preserving its authenticity and history.

Description

[0001] Description

[0002] ■ Technical field

[0003] The invention relates to the field of security and authentication of valuable handcrafted objects. It uses an advanced technological combination that combines a unique vibrational signature, generative artificial intelligence, and blockchain / IPFS to ensure secure locking and unlocking while preserving the authenticity of handcrafted creations.

[0004] ■ Description of the state of the art

[0005] The document (CN102984201A) discloses a digital authentication and authenticity identification system for works of art. This device uses an identification process based on the structural characteristics of physical microscopic images of the artworks, allowing authentic works to be distinguished from forgeries through comparative analysis of the microscopic images. The invention comprises several steps, including digital microscopic photography and data storage in a database, associated with specific digital codes for each artwork. This system aims to provide authenticity identification services for applications such as investing in, collecting, and auctioning works of art, while being accessible online.

[0006] The document (CN107679872A) reveals a method and device for discriminating between works of art, along with electronic equipment based on blockchain technology. This method involves obtaining data from certified works of art and storing it in a centralized database, which can be both on-chain and off-chain. The data from the artworks is extracted to create an initial image of the work to be identified. This data is then compared with that of certified works stored in the database. If the degree of matching reaches a predetermined threshold, the work is recognized as certified. The use of a blockchain database ensures data security, preventing falsification, and improves the accuracy of the discrimination process through reliable data.

[0007] The document (KR20230165013A) discloses a product authentication system and method based on a unique marking technology. This system allows for the assignment of distinct identifiers to each product, thereby facilitating verification of their authenticity throughout the supply chain. The invention includes a data collection module that records product identification information and a communication module that allows users to verify authenticity via a digital interface. In the event of detected counterfeiting, the system can alert relevant parties and provide mechanisms for reporting suspicious products. This device aims to strengthen consumer confidence and reduce economic losses due to counterfeiting, while being easily integrated into existing product management processes.

[0008] The document (WO2022218865A1) discloses an innovative system for authenticating and identifying works of art, incorporating advanced technologies such as digital microscopy and image recognition. This system certifies the authenticity of artworks by comparing reference microscopy images with those of the artwork being evaluated. The invention comprises several steps, including the selection of sampling points on the surface of the artwork, which are photographed at high resolution, and the storage of the data in a secure database. By using unique digital codes associated with each artwork, the system facilitates access to online authentication services, allowing users to verify authenticity quickly and reliably.This system aims not only to protect artists and collectors against counterfeiting, but also to provide a framework for the collection of legal evidence in the field of art.

[0009] The document (KR20230128231A) discloses an AI-based counterfeit inspection method and device coupled with a system for issuing digital certificates of authenticity. This method relies on acquiring and analyzing images of articles to detect potential counterfeits. When an article is identified as authentic, a digital certificate is generated, containing unique information such as its digital fingerprint and the history of the verification process. This system aims to improve product traceability and effectively combat counterfeiting by providing reliable and automated certification.

[0010] However, these systems have many drawbacks, such as:

[0011] • Data centralization: Some systems rely on centralized databases, which makes them vulnerable to cyberattacks and poses problems of confidentiality, data manipulation and dependence on a trusted third party.

[0012] • Slow processing: Analysis processes, particularly those based on microscopic image recognition or the extraction of structural features, are often lengthy and require complex processing, limiting their effectiveness in real-time applications. • High costs: The use of specialized equipment (microscopes, high-resolution sensors, computing servers) generates significant costs, making these technologies less accessible to artisans and small businesses.

[0013] • Technical complexity: The implementation and use of these systems require advanced skills in imaging, artificial intelligence and database management, making their adoption difficult for non-specialist users.

[0014] • Lack of adaptability to natural alterations: Handcrafted objects can undergo physical changes (aging, wear, environmental variations), which can skew the results of identification systems based solely on static visual characteristics.

[0015] • Lack of a tamper-proof and dynamic signature: Current identification methods rely on static elements that can be reproduced or falsified. They do not guarantee the absolute uniqueness of the object, opening the door to sophisticated counterfeits.

[0016] The following intervention is intended to address all these limitations and improve performance.

[0017] ■ Description of the invention

[0018] The proposed system is based on the following key elements, which ensure robust authentication, increased security and reliable traceability of handcrafted items:

[0019] • Unique vibrational signature: Each handcrafted object possesses a specific vibrational signature, obtained by analyzing its natural vibrations using a WTVB01-BT50 multi-connected vibration sensor. This vibrational signature, unique due to the object's intrinsic characteristics (materials, structure, manufacturing process), is securely recorded in a blockchain database. This approach guarantees the inviolability, immutability, and traceability of the signature throughout the object's lifecycle.

[0020] • Programmable vibration generation: The system incorporates a programmable vibration generator, configured to emit vibration signals tailored to the specific characteristics of each category of craft object. This generator is powered by a self-contained device ensuring a stable and continuous power supply. The generated vibrations enable precise and personalized analysis, facilitating reliable and reproducible identification, regardless of the type of object being tested.

[0021] • Digital locking and unlocking: From the moment of initial registration, each object is associated with a digital status (locked or unlocked). This status controls access to the object's information, such as its certificate of authenticity or its history. Locking is activated during registration, and unlocking is contingent upon successful authentication, based on the match between detected vibrations and the recorded signature. This mechanism enhances security and guarantees the object's authenticity. • Dynamic customization of vibration signatures: The system incorporates an innovative mechanism that allows for the recalibration of an object's vibration signature in the event of natural alterations (wear, aging, repairs).This dynamic personalization is overseen by generative artificial intelligence, which analyzes vibration changes in real time and adjusts the signature without compromising the object's authenticity. This process ensures continuous adaptation and increased system reliability.

[0022] • Advanced integration of complementary technologies: The system combines several cutting-edge technologies to optimize security, traceability, and data management:

[0023] o Blockchain: Used to securely and tamper-proof record vibration profiles, associated metadata (artisan identity, geographical origin, date of manufacture) and transaction history.

[0024] o IPFS (Interplanetary File System): Provides decentralized and distributed data storage, ensuring robust accessibility and increased resilience against failures or attacks.

[0025] o Generative Artificial Intelligence: Analyzes vibration signatures, detects anomalies, anticipates risks of alteration and offers real-time recommendations to optimize the reliability and durability of the system.

[0026] • Communication and verification mechanism: The system integrates a verification box equipped with a bidirectional communication module, including an ACR1552U-M1 NFC reader. This module allows reading information relating to the specific vibrations of each object from NFC tags, transmitting this data to the power supply to generate the appropriate vibrations, and communicating with the mobile device to validate the authenticity of the object.

[0027] ■ Brief description of the figures

[0028] • Figure 1: Illustrates the general diagram of the intelligent locking and authentication system, showing the interactions between the object, the reading device and the database.

[0029] • Figure 2: presents the locking process, including the steps of vibration analysis, profile creation, recording and locking.

[0030] • Figure 3: presents the product authentication / unlocking process based on the simultaneous recognition of the vibration signature and the vibration profile.

[0031] ■ Detailed description of the invention

[0032] Handicrafts are often considered a symbol of a country's cultural identity, as they showcase specialized traditional techniques, skills, and knowledge that are frequently passed down through generations. These products are particularly vulnerable to counterfeiting, especially with the rise of counterfeiting techniques in this sector.

[0033] The invention proposes a device and method for locking and authenticating handcrafted objects, based on the use of unique vibrational signatures. This system relies on an advanced technological approach, combining vibration sensors, programmable vibration signal generation, a secure blockchain database, and a generative artificial intelligence model. The objective is to provide a reliable, tamper-proof, and easy-to-use solution for authenticating handcrafted products and combating counterfeiting.

[0034] The system consists of three main parts:

[0035] 1. Detection section [1], comprising:

[0036] o Vibration sensor: The WTVB01-BT50 50m 3-axis wireless Bluetooth multi-connected vibration sensor [e], connected to a mobile device such as a smartphone, is used to detect the specific vibrations generated by the craft object. These vibrations, unique to each object, constitute a unique vibrational signature.

[0037] o Mobile application: A mobile application embedded in the mobile device [d] processes and analyzes detected vibration signals in real time. It performs data preprocessing and transmits it to the verification unit for authentication or recording.

[0038] 2. Generation part [2], comprising:

[0039] o Programmable vibration generator [b]: Configured to emit unique vibration signals tailored to the type of craft object. It is controlled by the feeder, which adjusts its parameters based on vibration data retrieved from the product to generate the necessary reference signals.

[0040] o Standalone power supply [a]: Provides a stable and continuous power supply to the vibration generator for optimal operation. It retrieves vibration data stored in the product's NFC tag, transmitted by the verification box, adjusts its parameters accordingly, and sends the appropriate commands to the vibration generator. o Verification box [c]: Integrates a bidirectional communication module and an ACR1552U-M1 NFC reader. The communication module allows for the exchange of analysis data with the mobile device, while the NFC reader extracts vibration data from the product's NFC tag and transmits it to the power supply.

[0041] 3. Distributed storage component [3], comprising:

[0042] o Blockchain database [f]: Unique vibrational profiles and associated metadata (such as origin, artisan, date of manufacture) are securely and tamper-proof recorded in a blockchain. This technology guarantees data traceability and integrity.

[0043] o IPFS system [h]: The IPFS (Interplanetary File System) allows decentralized storage of vibration data, ensuring increased accessibility and resilience against failures or attacks.

[0044] Generative artificial intelligence: An AI model is used to analyze vibration data, compare detected vibration signatures with recorded ones, and provide real-time recommendations. This model improves system accuracy and safety by dynamically adapting to new data.

[0045] The locking and authentication process includes the following steps:

[0046] 1. Initial registration and digital lock:

[0047] • The object's natural vibrations are captured using the vibration sensor and analyzed to generate a unique vibration signature.

[0048] • This signature is associated with descriptive metadata (identity of the craftsman, geographical origin, date of manufacture, etc.) and recorded in the blockchain and the IPFS system.

[0049] • The item is marked as "digitally locked", preventing any unauthorized access to its information.

[0050] 2. Digital authentication and unlocking:

[0051] • During authentication, the object's vibrations are again captured and analyzed by the mobile device.

[0052] • Vibrational data is compared to the signature recorded in the blockchain using the generative AI model.

[0053] • In the event of a positive match, the item is unlocked, allowing access to the associated information (certificate of authenticity, history, etc.).

[0054] 3. Dynamic personalization of vibrational signatures:

[0055] • In the event of natural changes to the object (wear and tear, repairs), the system dynamically recalibrates the vibrational signature under the supervision of generative AI. • This continuous adaptation guarantees increased accuracy and reliability while maintaining the object's authenticity.

[0056] 4. Traceability and update management:

[0057] • All modifications (changes of ownership, repairs, etc.) are recorded in the blockchain, ensuring complete and transparent traceability of the object.

[0058] • Vibration profile updates are also stored, enabling accurate tracking and efficient object management.

[0059] ■ Industrial application

[0060] According to the invention, the intelligent locking and authentication system and method are not limited to guaranteeing the authenticity of handcrafted items, but can also be applied to anti-counterfeiting traceability in various sectors, such as luxury goods, art, and the pharmaceutical industry. This technology ensures effective protection of original creations while strengthening consumer confidence in the authenticity, quality, and integrity of the products.

Claims

Demands 1. A device for locking and authenticating handcrafted objects, comprising a detection part, a generation part and a distributed storage part, intended to ensure the identification and securing of handcrafted objects. Characterized by what it includes: a) A sensing part [1], configured to capture and analyze the natural vibrations of a craft object, comprising a WTVB01-BT50 multi-connected vibration sensor, a mobile device such as a smartphone and a mobile processing application. b) A generation part [2], configured to induce controlled vibrations and compare the vibration responses of the object, comprising a programmable vibration generator, a self-contained power supply ensuring a stable and continuous supply to the generator, and a verification box integrating a bidirectional communication module and an ACR1552U-M1 NFC reader. c) A distributed storage component [3], configured to store, secure and verify the authenticity of the vibrational profiles of handcrafted objects, including a blockchain database, an IPFS (Interplanetary File System) and a generative Artificial Intelligence model.

2. Device according to claim 1, characterized in that the detection part [1] comprises: a) A WTVB01-BT50 3-axis wireless Bluetooth multi-connected vibration sensor [e], capable of measuring vibrations induced on the object. b) A mobile device, such as a smartphone [d], enabling the acquisition and transmission of vibration data. c) A mobile application embedded in the phone [d], responsible for pre-processing vibration data and sending the results to the relevant parties.

3. Device according to claim 1, characterized in that the generation part [2] comprises: a) A self-contained power supply [a], ensuring a stable and continuous power supply, adapted to the needs of the vibration generator. b) A programmable vibration generator [b], configured to emit unique vibration signals, adjusted according to the characteristics of the craft object. c) A verification box [c], integrating a bidirectional communication module and an ACR1552U-M1 NFC reader, configured to read vibration information from the product's NFC tags, exchange analysis data with the mobile device and the feeder, and provide a vibration measurement reference for the analysis and comparison of the object's vibration signatures.

4. Device according to claim 1, characterized in that the distributed storage part [3] comprises: a) A blockchain database [f], configured to securely and immutably record vibration profiles and information associated with handcrafted objects. b) A generative Artificial Intelligence model [g], responsible for: • Analyze vibration data and recorded transactions. • Provide real-time recommendations for the authentication and calibration of vibration profiles. c) An IPFS [h] system, designed to store vibration data and metadata in a decentralized manner.

5. Device according to claim 1, characterized in that the verification box [c] comprises: a) An ACR1552U-M1 NFC reader, configured to extract specific vibration information from an object via NFC tags. b) A bidirectional communication module, enabling data exchange with the mobile device and the power supply to optimize the authentication process.

6. A method for locking and authenticating handcrafted objects, using the device of claims 1 to 5, characterized in that it consists of: a) Digitally lock a crafted item upon registration. b) Digitally authenticate and unlock access to information related to the object based on a validated match of its vibrational signature.

7. Method according to claim 6, characterized in that the locking comprises the following steps: a) Reading the vibrations generated by the product. b) Vibration analysis. c) Verification of the existence of the product in the blockchain by comparing vibrations. d) Creation of a vibration profile of the object. e) Secure recording of this profile in the blockchain database. f) Digital product locking. g) Product validation in the blockchain.

8. A method according to claim 6, characterized in that the authentication / unlocking comprises the following steps: a) Reading the vibrations generated by the product. b) Initial analysis and pretreatment. c) Comparison of vibrations via the generative AI model, blockchain database and IPFS. d) User status feedback (Unlock / Access denied). e) Granting access to product data in case of positive validation.

9. A method according to the preceding claims, characterized by a digital locking and unlocking mechanism for the products, based on the comparison of vibration signatures.

10. Device according to the preceding claims, characterized in that it integrates a mechanism for personalizing vibration profiles according to the types of craft objects, allowing detection and authentication to be adapted to specific categories, while improving accuracy and security through dynamic calibration supervised by generative AI.

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