A traceability and anti-counterfeiting management method for art paintings

Abstract

The present invention discloses a traceability and anti-counterfeiting management method for art paintings, which belongs to the field of traceability and anti-counterfeiting technology. Specifically, the method comprises: assigning a unique 12-digit serial number to each art painting, and uploading these serial numbers to a cloud platform for management; the serial number is randomly divided into X groups of Y digits, and each group of digits is mapped to a grayscale value display at different grayscale levels A, B, and C according to its own value; during transportation, the transport vehicle positioning information is collected in real time to generate a transport track, and the transport track is bound to the serial number and uploaded to the cloud platform; the purchaser can query the transport track by entering the serial number or upload a photo of the serial number to verify the authenticity; the system will determine whether the serial number display in the photo is consistent with the grayscale value display of the set value based on the division of the serial number and the grayscale mapping, thereby indicating whether it is authentic or counterfeit; the present invention effectively improves the efficiency and accuracy of art anti-counterfeiting through a multiple verification mechanism.

Description

Technical Field

[0001] The present invention relates to the technical field of traceability and anti-counterfeiting, and in particular to a traceability and anti-counterfeiting management method for artistic paintings. Background Art

[0002] With the booming global art market and the increasing frequency of art transactions, the authenticity and traceability of artworks have become a critical issue that needs to be addressed. Traditional art authentication methods rely primarily on the experience and knowledge of experts. These methods are not only time-consuming and labor-intensive, but also susceptible to human factors, resulting in subjective and uncertain authentication results. For example, experts may make incorrect judgments due to personal bias, conflicts of interest, or knowledge limitations, thus affecting the authenticity and value of the artwork.

[0003] While some high-tech anti-counterfeiting technologies, such as chips and RFID, have emerged in recent years, these methods are often costly and difficult to implement during the production and distribution of artworks. For example, chips and RFID tags must be embedded in artworks, which not only increases production costs but also potentially damages the artwork. Furthermore, these high-tech methods require specialized equipment and technology for reading and verification, which is inconvenient for ordinary consumers. Therefore, it is particularly important to develop a traceability and anti-counterfeiting management method that can effectively prevent artwork counterfeiting while also being cost-effective. Summary of the Invention

[0004] The purpose of the present invention is to provide a traceability and anti-counterfeiting management method for artistic paintings to solve the following technical problems:

[0005] Existing anti-counterfeiting technology for artistic paintings is relatively expensive.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A traceability and anti-counterfeiting management method for artistic paintings comprises the following steps:

[0008] Assign a 12-digit serial number to each artwork. Each artwork has a different serial number. All serial numbers are uploaded to the cloud platform.

[0009] The serial number is randomly divided into X groups of Y digits, where X=4, 6, 12, and Y=3, 2, 1. When Y=3, each group of digits is less than or equal to A-1, where A is a set value, and each group of digits is mapped to a grayscale value at grayscale level A for display according to its own value. When Y=2, each group of digits is less than or equal to B-1, and each group of digits is mapped to a grayscale value at grayscale level B for display according to its own value. When Y=1, each group of digits is less than or equal to C-1, and each group of digits is mapped to a grayscale value at grayscale level C for display according to its own value.

[0010] During the transportation of the artwork from the official sales address to the purchaser's address, the transport vehicle's positioning information is collected in real time, a transport track is generated, and the transport track is uploaded to the cloud platform. The serial number of the transported artwork is assigned a corresponding transport track;

[0011] When the buyer enters the serial number of the artwork in the cloud platform, the shipping track corresponding to the serial number will be automatically displayed;

[0012] When the buyer uploads a photo of the serial number of an art painting to the cloud platform, the number of groups and digits into which the serial number is divided, as well as the grayscale value displayed at the set grayscale level for each group of digits, are obtained based on the serial number. It is then determined whether each group of digits in the serial number in the serial number photo meets the grayscale value displayed at the set grayscale level. If so, it is indicated as an authentic product; if not, it is indicated as a counterfeit.

[0013] As a further solution of the present invention: the set value of the gray level A includes but is not limited to 128, 256, 512, and 1024, the set value of the gray level B includes but is not limited to 32, 64, and 128, and the set value of the gray level C includes but is not limited to 8 and 16, and A, B, and C will not have the same value at the same time.

[0014] As a further solution of the present invention: the minimum value of each digit in the serial number is 0, and the maximum value is set according to the corresponding grayscale level.

[0015] As a further solution of the present invention: when the buyer enters the serial number of the art painting and his own delivery address in the cloud platform, the transportation track corresponding to the serial number is automatically extracted, and the delivery address in the transportation track is compared with the buyer's delivery address. When the comparison does not match, a prompt will be given.

[0016] As a further solution of the present invention, the specific process of mapping each group of numbers to grayscale values ​​at corresponding grayscale levels for display is as follows:

[0017] Mark any group of numbers as N, obtain the number of digits Y in the number N, and the set grayscale level H corresponding to the number of digits Y, where H = A, B, C. Generate the initial display image of the group of numbers according to the set resolution and size, and divide the edge lines between the interior of the numbers and the background area. For each pixel on the edge line and within the edge line, the grayscale value of the pixel point is the grayscale step corresponding to the group of numbers at grayscale level H, and obtain the final digital grayscale display image.

[0018] As a further solution of the present invention: the process of uploading the transport trajectory to the cloud platform includes:

[0019] During the transportation process, the geographic location information of the transport vehicle is recorded in real time through GPS or other positioning devices; the recorded location information is pre-processed to form trajectory data, which includes but is not limited to the starting point, passing points, arrival point and the timestamp of each point; the trajectory information of each transportation process is bound to the serial number of the art painting to generate a complete transportation trajectory associated with the art painting serial number, and the trajectory data is uploaded to the cloud platform for storage.

[0020] As a further solution of the present invention: the serial number information of each artwork and its corresponding transportation trajectory data are written into the blockchain network through an encryption algorithm; all information in the blockchain network cannot be tampered with, and each time the record is queried, the user can verify the authenticity and integrity of the information through the public key.

[0021] As a further solution of the present invention: when a buyer queries the serial number of an art painting on the cloud platform, the cloud platform automatically identifies and prompts whether it is the first query based on the buyer's IP address or device information. If it is the first query, it recommends further verification of the source and transportation of the art painting. If it is a repeated query, the historical query record is automatically displayed.

[0022] Beneficial effects of the present invention:

[0023] The present invention assigns a unique serial number to each artwork, randomly divides the serial number into digits of varying groups and digits, and maps them to different grayscale levels for display, making it difficult for counterfeiters to copy or tamper with it, thereby improving anti-counterfeiting efficiency and reducing anti-counterfeiting costs. Simultaneously, the transport vehicle's location information is collected in real time and a transport trajectory is generated. This transport trajectory is then linked to the artwork's serial number. Buyers can query the artwork's complete transport trajectory through a cloud platform, verifying the artwork's authenticity and origin, thus achieving full traceability. Furthermore, buyers simply need to enter the artwork's serial number or upload a photo of the serial number into the cloud platform to quickly verify the artwork's authenticity. This convenient verification method improves the user experience and reduces the need for professional authentication. The serial number information of all artworks and their corresponding transport trajectory data are written to the blockchain network using an encryption algorithm, ensuring that the information cannot be tampered with. Each time a record is queried, users can verify the authenticity and integrity of the information using a public key, enhancing system security. In summary, the present invention addresses the time-consuming, labor-intensive, and subjective nature of traditional artwork authentication methods, while also overcoming the high cost and implementation difficulties of existing high-tech anti-counterfeiting methods, providing a more secure and reliable trading environment for the artwork market. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The present invention will be further described below with reference to the accompanying drawings.

[0025] Figure 1 It is a schematic flow diagram of the present invention;

[0026] Figure 2 It is a schematic diagram of the process of mapping the serial number to the corresponding gray level display in the present invention. DETAILED DESCRIPTION

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0028] See also Figure 1-Figure 2 As shown, the present invention is a traceability and anti-counterfeiting management method for artistic paintings, comprising the following steps:

[0029] 1. Serial Number Assignment and Upload: First, each artwork is assigned a unique 12-digit serial number, which serves as a unique identifier for each work. These serial numbers are uploaded to the cloud platform for centralized management and monitoring. This step ensures that each artwork has a unique identity, facilitating subsequent tracking and management.

[0030] 2. Serial number grouping and grayscale mapping: Randomly divide the serial number into X groups of Y digits (where X can be 4, 6 or 12, and Y is 3, 2 or 1). That is, XY=12. This grouping method increases the difficulty of forgery because the forger needs to know the correct grouping method to copy the serial number. Depending on the number of digits, each group of digits in the serial number will be mapped to a different grayscale for display. For example, if Y=3, each group of digits is less than or equal to A-1 (A is the set value) and is mapped to the grayscale value under grayscale A according to this value; if Y=2, each group of digits is less than or equal to B-1 and is mapped to the grayscale value under grayscale B; if Y=1, each group of digits is less than or equal to C-1 and is mapped to the grayscale value under grayscale C.

[0031] Grayscale A can be set to, but is not limited to, 128, 256, 512, and 1024; grayscale B can be set to, but is not limited to, 32, 64, and 128; and grayscale C can be set to, but is not limited to, 8 and 16. This is the number of grayscale levels in binary, and A, B, and C cannot have the same value simultaneously. This mapping method gives the serial number a visually unique texture or pattern, making it difficult to copy or tamper with.

[0032] 4. Transport Track Recording and Upload: During the transport of artworks from the official sales address to the purchaser's address, the transport vehicle's location information is collected in real time to generate a transport track. This track is then uploaded to the cloud platform and associated with the corresponding artwork serial number. This step ensures the authenticity and security of the artwork during transportation, preventing the possibility of substitution or forgery.

[0033] 5. Shipping Track Query: When a buyer enters the serial number of an artwork on the cloud platform, the system automatically displays the shipping track corresponding to that serial number. Buyers can verify the artwork's origin and shipping process by viewing the shipping track. This provides buyers with an intuitive way to determine the authenticity and legitimacy of an artwork.

[0034] 6. Authenticity Verification: Buyers can also upload the artwork's serial number and a photo of the serial number to the cloud platform. The system will determine the number of groups and digits in the serial number, as well as the grayscale value displayed for each group of digits at a set grayscale level. The system then determines whether each group of digits in the serial number in the photo matches the grayscale value displayed at the set grayscale level. If so, the artwork is identified as authentic; if not, it is identified as a counterfeit. This simple and accurate authentication method significantly enhances consumer trust in artworks.

[0035] In a preferred embodiment of the present invention, the minimum value of each digit in the serial number is set to 0, while the maximum value is flexibly set according to the corresponding grayscale level. Specifically, when a group of digits in the serial number is divided into groups of 3 digits (i.e., Y=3), the maximum value of the group of digits is less than or equal to the preset value A minus 1; if it is divided into groups of 2 digits (Y=2), the maximum value is less than or equal to the preset value B minus 1; if it is a single digit (Y=1), the maximum value is less than or equal to the preset value C minus 1.

[0036] In another preferred embodiment of the present invention, in order to further enhance security and user experience, the system introduces a delivery address comparison function. When the purchaser enters the serial number of the purchased art painting and his or her expected delivery address in the cloud platform, the cloud platform will automatically extract the transportation track information bound to the serial number, and accurately compare the actual delivery address in the transportation track record with the address provided by the purchaser. If the two are inconsistent, the system will immediately issue a warning to the purchaser, indicating possible risks or errors. This step serves as an additional layer of verification, effectively preventing the artwork from being illegally intercepted or misdelivered during the logistics process, and ensuring that the artwork can be accurately delivered to the real buyer.

[0037] In another preferred embodiment of the present invention, the specific process of mapping each group of numbers to grayscale values ​​at corresponding grayscale levels for display is as follows:

[0038] Marking and obtaining parameters: First, mark any set of numbers to be processed as N. Next, the system automatically identifies the number of digits Y in this set of numbers and determines the corresponding grayscale level H based on the number of digits Y. Here, H can be one of A, B, or C, depending on the value of the number of digits Y. For example, if Y = 3, then H may be set to grayscale level A; if Y = 2, then H may be set to grayscale level B; and so on.

[0039] Generate initial display image: Based on the set resolution and size, the system will generate the initial display image of this set of numbers N. This initial image is a blank canvas that will be used to draw the numbers and their background.

[0040] Edge line demarcation: On the initial display image, the system accurately demarcates the inner area of ​​each digit from the background area, known as the edge line. This step is crucial for subsequent grayscale mapping because it defines which areas should display digits and which should remain blank or background color.

[0041] Grayscale value mapping: Next, for each pixel on the edge line and all pixels within the edge line, the system determines the grayscale value of each pixel based on the grayscale steps corresponding to the set of numbers at grayscale level H. This means that different combinations of numbers will result in different grayscale distribution patterns, forming a visually unique texture or pattern. This pattern is difficult to replicate because a counterfeiter would need to know the exact number of digits, grayscale levels, and how to translate these factors into specific grayscale values.

[0042] Generating the final display image: After completing the above steps, the system will obtain a complete digital grayscale display image. This image not only contains the original digital information, but also adds an additional security layer through grayscale changes.

[0043] Verification and Comparison: Finally, when the buyer uploads a photo of the serial number on the artwork to the cloud platform, the system compares the grayscale image in the photo with the ideal grayscale image of the corresponding serial number stored in the database. If the two are highly consistent, the artwork's authenticity is further confirmed; otherwise, it may indicate a risk of forgery.

[0044] In another preferred embodiment of the present invention, the process of uploading the transport trajectory to the cloud platform includes the following steps:

[0045] 1. Real-time geolocation: During the transportation of artworks from the official sales address to the purchaser's address, the transport vehicle's geolocation is recorded in real time using GPS or other positioning devices. This location information includes, but is not limited to, the starting point, transit points, and arrival points, as well as timestamps for each location, ensuring transparency and traceability of the transportation process.

[0046] 2. Preprocessing to generate trajectory data: Real-time recorded location information is preprocessed to generate trajectory data. This trajectory data not only contains basic location and time information, but may also include detailed information such as speed and direction, providing rich data support for subsequent analysis and verification.

[0047] 3. Binding Serial Numbers and Tracking Information: Each transport track is linked to the corresponding artwork serial number, generating a complete transport track associated with that artwork serial number. This binding ensures that each artwork's transport journey can be accurately tracked, preventing the possibility of substitution or forgery.

[0048] 4. Upload to the cloud platform for storage: The generated complete transport trajectory data is uploaded to the cloud platform for storage. The cloud platform's high availability and scalability ensure the security and reliability of the data, while also facilitating subsequent query and management.

[0049] In a preferred embodiment of this embodiment, to further enhance data security and reliability, the serial number of each artwork and its corresponding shipping trajectory data are encrypted onto the blockchain network. The decentralized, tamper-proof, and transparent nature of the blockchain network ensures the highest level of security for all information within it. Whenever a user queries a record, they can verify its authenticity and integrity using the public key, ensuring data accuracy and reliability.

[0050] In this way, the present invention not only improves the efficiency and accuracy of anti-counterfeiting for artworks, but also provides consumers with a convenient way to verify the authenticity of artworks. Furthermore, real-time transportation records provide strong evidence for tracing the artwork's origin, further enhancing the credibility and security of the entire system. Furthermore, due to the unique characteristics of the blockchain network, all information is highly secure, effectively preventing the risk of data tampering or forgery.

[0051] In another preferred embodiment of the present invention, the cloud platform features intelligent recognition and prompting capabilities to enhance the user experience and improve the security of artwork authentication. Specifically, when a purchaser queries the serial number of a particular artwork on the cloud platform, the system automatically identifies the purchaser based on their IP address or device information to determine whether the query is a first-time request.

[0052] If the system identifies that this is the buyer's first inquiry into the serial number, the cloud platform will proactively recommend that the buyer further verify the artwork's origin and shipping details. This step is intended to ensure that the buyer has as much information as possible about the artwork's true provenance, thereby increasing confidence in its authenticity. The system may prompt the buyer to verify the artwork's shipping history, original sales records, artist information, and other information to gain a more comprehensive understanding of the artwork's background.

[0053] On the other hand, if the system detects repeated queries for the same serial number by the same buyer, the cloud platform will automatically display the historical query records. This feature not only allows buyers to easily trace past queries but also helps them quickly access previously verified information, avoiding duplication of effort. Furthermore, the display of repeated query records serves as a security mechanism to detect and prevent potential fraud, as frequent queries may indicate that the serial number has been repeatedly verified, posing a risk of forgery or misappropriation.

[0054] The above is a detailed description of an embodiment of the present invention. However, the content described is only a preferred embodiment of the present invention and should not be considered to limit the scope of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A traceability and anti-counterfeiting management method for artistic paintings, characterized in that: The following steps are involved: Assign a 12-digit serial number to each artwork. Each artwork has a different serial number. All serial numbers are uploaded to the cloud platform. The serial number is randomly divided into X groups of Y digits, where X=4, 6, 12, and Y=3, 2, 1. When Y=3, each group of digits is less than or equal to A-1, where A is a set value, and each group of digits is mapped to a grayscale value at grayscale level A for display according to its own value. When Y=2, each group of digits is less than or equal to B-1, and each group of digits is mapped to a grayscale value at grayscale level B for display according to its own value. When Y=1, each group of digits is less than or equal to C-1, and each group of digits is mapped to a grayscale value at grayscale level C for display according to its own value. During the transportation of the artwork from the official sales address to the purchaser's address, the transport vehicle's positioning information is collected in real time, a transport track is generated, and the transport track is uploaded to the cloud platform. The serial number of the transported artwork is assigned a corresponding transport track; When the buyer enters the serial number of the artwork in the cloud platform, the shipping track corresponding to the serial number will be automatically displayed; When a buyer uploads a photo of the serial number of an artwork to the cloud platform, the number of groups and digits into which the serial number is divided, as well as the grayscale value displayed at a set grayscale level corresponding to each group of digits, is obtained based on the serial number. A check is then made to determine whether each group of digits in the serial number in the photo matches the grayscale value displayed at the set grayscale level. If so, the artwork is displayed as authentic; if not, the artwork is displayed as counterfeit. The specific process of mapping each set of numbers to the grayscale value under the corresponding grayscale for display is: Mark any group of numbers as N, obtain the number of digits Y in the number N, and the set grayscale level H corresponding to the number of digits Y, where H = A, B, C. Generate the initial display image of the group of numbers according to the set resolution and size, and divide the edge lines between the interior of the numbers and the background area. For each pixel on the edge line and within the edge line, the grayscale value of the pixel point is the grayscale step corresponding to the group of numbers at grayscale level H, and obtain the final digital grayscale display image.

2. A traceability and anti-counterfeiting management method for artistic paintings according to claim 1, characterized in that: The set value of the gray level A includes but is not limited to 128, 256, 512, and 1024, the set value of the gray level B includes but is not limited to 32, 64, and 128, and the set value of the gray level C includes but is not limited to 8 and 16, and A, B, and C will not have the same value at the same time.

3. The traceability and anti-counterfeiting management method for artistic paintings according to claim 2, characterized in that: The minimum value of each digit in the serial number is 0, and the maximum value is set according to the corresponding grayscale level.

4. The traceability and anti-counterfeiting management method for artistic paintings according to claim 1, characterized in that: When the buyer enters the serial number of the art painting and his or her own delivery address in the cloud platform, the transportation track corresponding to the serial number is automatically extracted, and the delivery address in the transportation track is compared with the buyer's delivery address. If the comparison does not match, a prompt will be given.

5. The traceability and anti-counterfeiting management method for artistic paintings according to claim 1, characterized in that: The process of uploading the transport trajectory to the cloud platform includes: During the transportation process, the geographic location information of the transport vehicle is recorded in real time through GPS or other positioning devices; the recorded location information is pre-processed to form trajectory data, which includes but is not limited to the starting point, passing points, arrival point and the timestamp of each point; the trajectory information of each transportation process is bound to the serial number of the art painting to generate a complete transportation trajectory associated with the art painting serial number, and the trajectory data is uploaded to the cloud platform for storage.

6. A traceability and anti-counterfeiting management method for artistic paintings according to claim 5, characterized in that: The serial number information of each artwork and its corresponding transportation trajectory data are written into the blockchain network through an encryption algorithm; all information in the blockchain network cannot be tampered with, and each time the record is queried, the user can verify the authenticity and integrity of the information through the public key.

7. The traceability and anti-counterfeiting management method for artistic paintings according to claim 1, characterized in that: When a buyer queries the serial number of an art painting on the cloud platform, the cloud platform automatically identifies and prompts whether it is the first query based on the buyer's IP address or device information. If it is the first query, it recommends further verification of the source and transportation of the art painting. If it is a repeated query, the historical query record will be automatically displayed.

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