Tracing anti-counterfeiting management method for artistic picture

Abstract

The invention discloses a traceability anti-counterfeiting management method for artistic paintings, and belongs to the technical field of traceability anti-counterfeiting, and the method specifically comprises the steps: endowing each artistic painting with a 12-bit unique serial number, and uploading the serial numbers to a cloud platform for management; the serial numbers are randomly divided into X groups of Y-bit numbers, and each group of numbers is mapped to gray values under different gray levels A, B and C according to own numerical values to be displayed; in the transportation process, positioning information of the transportation vehicle is collected in real time to generate a transportation track, and the transportation track is bound with the serial number and uploaded to the cloud platform; a purchaser can inquire a transportation track by inputting a serial number or upload a serial number photo to verify authenticity; the system judges whether the serial number display in the photo is consistent with the gray value display of the set value according to the division of the serial number and the gray mapping, so as to prompt a certified product or a counterfeited product; according to the invention, through a multi-verification mechanism, the anti-counterfeiting efficiency and accuracy of the artwork are effectively improved.

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 identification and traceability management of artworks has become an important issue that needs to be solved urgently. Traditional art authentication methods mainly rely on the experience and knowledge of experts. These methods are not only time-consuming and labor-intensive, but also easily affected by human factors, resulting in subjectivity and uncertainty in the authentication results. For example, experts may make wrong judgments due to personal bias, conflicts of interest or knowledge limitations, thus affecting the authenticity and value of artworks.

[0003] In recent years, although some anti-counterfeiting technologies based on high-tech means have emerged, such as chips and RFID, these methods are often costly and difficult to implement in the production and circulation of artworks. For example, chips and RFID tags need to be embedded in artworks, which not only increases the production cost but may also cause damage to the artworks. In addition, these high-tech means also require special equipment and technology for reading and verification, which is not convenient for ordinary consumers. Therefore, it is particularly important to develop a traceability and anti-counterfeiting management method that can effectively prevent the counterfeiting of artworks and has a lower cost. 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] The existing anti-counterfeiting technology for art 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 art paintings, comprising the following steps:

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

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

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

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

[0012] When the purchaser 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 a set grayscale level for each group of numbers are obtained based on the serial number, and a determination is made as to whether each group of numbers in the serial number in the serial number photo matches the grayscale value displayed at the set grayscale level. If so, it is indicated as an authentic product, and 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, 1024, the set value of the gray level B includes but is not limited to 32, 64, 128, the set value of the gray level C includes but is not limited to 8, 16, and A, B, 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 gray level.

[0015] As a further solution of the present invention: when the purchaser 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 purchaser's delivery address. When the comparison does not match, a prompt is 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 of the number N, and the set grayscale level H corresponding to the number of digits Y, 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 inside of the numbers and the background area. For the edge lines and each pixel point inside the edge lines, the grayscale value of the pixel point is the grayscale step corresponding to the group of numbers at the grayscale level H, and the final digital grayscale display image is obtained.

[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, and the trajectory data includes but is not limited to the starting location, passing locations, arrival locations and timestamps of each location; 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 serial number of the art painting, 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 art painting 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 purchaser queries the serial number of an art painting in the cloud platform, the cloud platform automatically identifies and prompts whether it is the first query based on the purchaser's IP address or device information. If it is the first query, it is recommended to further verify 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 gives each art painting a unique serial number, and randomly divides the serial number into numbers with different groups and digits, and maps them to different grayscale levels for display, so that it is difficult for counterfeiters to copy or tamper with, thereby improving anti-counterfeiting efficiency and reducing anti-counterfeiting costs. At the same time, the positioning information of the transport vehicle is collected in real time and the transport track is generated, and the transport track is bound to the serial number of the art painting. The buyer can query the complete transport track of the art painting through the cloud platform, verify the authenticity and source of the artwork, and achieve full traceability. In addition, the buyer only needs to enter the serial number of the art painting in the cloud platform or upload a serial number photo to quickly determine the authenticity of the artwork. This convenient verification method improves user experience and reduces the need for professional identification. The serial number information of all art paintings and their corresponding transport track data are written into the blockchain network through an encryption algorithm to ensure that the information cannot be tampered with. Each time the record is queried, the user can verify the authenticity and integrity of the information through the public key, thereby enhancing the security of the system. In summary, the present invention solves the problem that the traditional art identification method is time-consuming and labor-intensive and has subjectivity, and also overcomes the shortcomings of the existing high-tech anti-counterfeiting means that the cost is high and the implementation is difficult, providing a safer and more reliable trading environment for the art painting market. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0025] Figure 1 It is a schematic diagram of the process 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 displayed in the present invention. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are 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 allocation and upload: First, each art painting is assigned a unique 12-digit serial number, which is the unique identifier of each work. These serial numbers are uploaded to the cloud platform, which is centrally managed and monitored by the cloud platform. This step ensures that each art painting has a unique identity, which is convenient for 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 counterfeiting because the counterfeiter 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] The grayscale A includes, but is not limited to, 128, 256, 512, and 1024, the grayscale B includes, but is not limited to, 32, 64, and 128, and the grayscale C includes, but is not limited to, 8 and 16, i.e., the number of grayscale levels in binary, and A, B, and C will not have the same value at the same time. This mapping method makes the serial number visually have a unique texture or pattern, which is difficult to be copied or tampered with.

[0032] 4. Transportation track recording and uploading: During the transportation of the artwork from the official sales address to the buyer's address, the location information of the transport vehicle is collected in real time to generate a transportation track. These transportation tracks are then uploaded to the cloud platform and associated with the corresponding artwork serial number. This step ensures the authenticity and safety of the artwork during transportation and prevents the possibility of substitution or forgery in the middle of the journey.

[0033] 5. Transportation track query: When the buyer enters the serial number of the artwork on the cloud platform, the system will automatically display the transportation track corresponding to the serial number. The buyer can verify the source of the artwork and whether the transportation process is in line with expectations by checking the transportation track. This provides buyers with an intuitive way to judge the authenticity and legitimacy of the artwork.

[0034] 6. Authenticity verification: Buyers can also upload the serial number of the artwork and the photo of the serial number to the cloud platform. The system will obtain the number of groups and digits divided into the serial number, as well as the grayscale value displayed under the set grayscale level for each group of numbers. Then, the system will determine whether each group of numbers in the serial number in the serial number photo meets the grayscale value displayed under the set grayscale level. If it meets, it will be prompted as authentic; if it does not meet, it will be prompted as a counterfeit. This authenticity verification method is simple and accurate, which greatly improves consumers' trust in artworks.

[0035] In a preferred embodiment of the present invention, the minimum value of each digit of the serial number is set to 0, and the maximum value is flexibly set according to the corresponding grayscale. 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 will be 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 improve 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 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 to indicate possible risks or errors. This step serves as an additional layer of verification, effectively preventing the artwork from being illegally intercepted or misdelivered in 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:

[0038] Marking and obtaining parameters: First, mark any set of numbers to be processed as N. Then, the system will automatically identify the number of digits Y in this set of numbers, and determine the corresponding set gray level H according to 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, H may be set to gray level A; if Y = 2, H may be set to gray 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 division: On the initial display image, the system will accurately divide the inner area of ​​each number from the background area, that is, the edge line. This step is crucial for subsequent grayscale mapping because it defines which areas should display numbers and which areas should remain blank or background color.

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

[0042] Generate the final display image: After completing the above steps, the system will get 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 will compare and analyze the grayscale display in the photo with the ideal grayscale display of the corresponding serial number stored in the database. If the two are highly consistent, it further confirms the authenticity of the artwork; otherwise, it may indicate the risk of forgery.

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

[0045] 1. Real-time recording of geographic location information: During the transportation of the art painting from the official sales address to the buyer's address, the geographic location information of the transport vehicle is recorded in real time through GPS or other positioning devices. This location information includes but is not limited to the starting point, passing points, arrival point and the timestamp of each point, ensuring the transparency and traceability of the transportation process.

[0046] 2. Preprocessing to form trajectory data: The real-time recorded location information is preprocessed to form trajectory data. These trajectory data not only contain 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 number and track information: The track information of each transportation process will be bound to the corresponding serial number of the art painting, generating a complete transportation track associated with the serial number of the art painting. This binding relationship ensures that the transportation process of each art painting can be accurately tracked, preventing the possibility of being swapped or forged in the middle of the journey.

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

[0049] In a preferred embodiment of this embodiment, in order to further improve the security and credibility of the data, the serial number information of each art painting and its corresponding transportation track data are written into the blockchain network through an encryption algorithm. The blockchain network is decentralized, tamper-proof, and open and transparent, so that all information in it is highly secure. Every time a record is queried, the user can verify the authenticity and integrity of the information through the public key, thereby ensuring the accuracy and credibility of the data.

[0050] In this way, the present invention not only improves the efficiency and accuracy of anti-counterfeiting of artworks, but also provides consumers with a convenient way to verify the authenticity of artworks. At the same time, real-time transportation track records also provide strong evidence for tracing the source of artworks, further enhancing the credibility and security of the entire system. In addition, due to the 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 has intelligent recognition and prompting functions to enhance the user experience and improve the security of artwork verification. Specifically, when a buyer queries the serial number of a certain artwork on the cloud platform, the system will automatically identify the buyer based on the IP address or device information of the buyer to determine whether the query is the first time.

[0052] If the system recognizes that this is the first time the buyer has queried the serial number, the cloud platform will proactively recommend that the buyer further verify the source and transportation of the artwork. This step is to ensure that the buyer can obtain as much information as possible about the true source of the artwork, thereby increasing confidence in the authenticity of the artwork. The system may prompt the buyer to check the artwork's transportation track, original sales records, artist information, etc., in order to have a more comprehensive understanding of the background of the artwork.

[0053] On the other hand, if the system detects that the same buyer repeatedly queries the same serial number, the cloud platform will automatically display the historical query records. This function not only facilitates buyers to trace past query behaviors, but also helps buyers quickly obtain previously verified information to avoid duplication of work. At the same time, the display of repeated query records can also serve as a security mechanism to monitor and prevent potential fraud, because frequent queries may indicate that the serial number has been attempted to be verified multiple times, and there is a risk of forgery or theft.

[0054] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation 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. The serial number corresponding to each artwork is different. All serial numbers are uploaded to the cloud platform. The serial number is randomly divided into X groups of Y digits, X=4, 6, 12, Y=3, 2, 1; when Y=3, each group of digits is less than or equal to A-1, A is a set value, and each group of digits is mapped to a grayscale value under grayscale 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 under grayscale 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 under grayscale C for display according to its own value; During the transportation of the art painting from the official sales address to the purchaser's address, the location information of the transport vehicle is collected in real time, a transport track is generated, and the transport track is uploaded to the cloud platform, and the serial number of the transported art painting is assigned a corresponding transport track; When the buyer enters the serial number of the art painting in the cloud platform, the transportation track corresponding to the serial number will be automatically displayed; When the purchaser 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 a set grayscale level for each group of numbers are obtained based on the serial number, and a determination is made as to whether each group of numbers in the serial number in the serial number photo matches the grayscale value displayed at the set grayscale level. If so, it is indicated as an authentic product, and if not, it is indicated as a counterfeit.

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. A 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. A 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 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 specific process of mapping each set of numbers to the grayscale value at the corresponding grayscale level for display is: Mark any group of numbers as N, obtain the number of digits Y of the number N, and the set grayscale level H corresponding to the number of digits Y, 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 inside of the numbers and the background area. For the edge lines and each pixel point inside the edge lines, the grayscale value of the pixel point is the grayscale step corresponding to the group of numbers at the grayscale level H, and the final digital grayscale display image is obtained.

6. A traceability and anti-counterfeiting management method for artistic paintings according to claim 1, characterized in that: The process of uploading the transport track 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, and the trajectory data includes but is not limited to the starting location, passing locations, arrival locations and timestamps of each location; 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 serial number of the art painting, and the trajectory data is uploaded to the cloud platform for storage.

7. A traceability and anti-counterfeiting management method for artistic paintings according to claim 6, characterized in that: The serial number information of each art painting 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.

8. 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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