Classifiable random anti-counterfeit label

Abstract

The invention discloses a classifiable random anti-counterfeit label which comprises a label substrate layer, a back bottom layer is fixedly arranged on the upper surface of the label substrate layer, a classification identification layer is fixedly arranged on the upper surface of the back bottom layer, and a random pattern layer is fixedly arranged on the upper surface of the classification identification layer; an anti-counterfeiting pattern layer is arranged on the random pattern layer and comprises a random wrinkle-shaped pattern layer and a granular pattern layer. According to the technical scheme, the structural design is reasonable, the random wrinkles and the particle patterns are randomly generated in the curing process of the UV-cured foaming ink, the random wrinkles and the particle patterns have the physical non-replicable characteristic, the query conclusion is accurate and reliable, and the risk of being counterfeited is greatly reduced. The identification of classification identification can enable the algorithm to lock the corresponding sub-database in advance, so that the verification speed can be accelerated by dozens of times or hundreds of times, and meanwhile, the verification accuracy is ensured. Accelerated verification is carried out through structural improvement, the use is convenient, and the practicability is good.

Description

Technical Field

[0001] This invention relates to the field of anti-counterfeiting label technology, specifically to a categorizable random anti-counterfeiting label. Background Technology

[0002] To prevent counterfeiters from replicating products and to avoid harming the interests of consumers and manufacturers, brand owners choose to use anti-counterfeiting labels to identify genuine products and distinguish them from counterfeit goods. Among these, randomized, non-replicable anti-counterfeiting labels are beginning to attract attention.

[0003] However, the existing random anti-counterfeiting label structure still has shortcomings: the structural design is unreasonable, and when it is necessary to verify authenticity, the one-to-one retrieval process makes the verification speed of random anti-counterfeiting labels very slow, which makes it unsuitable for anti-counterfeiting of large quantities of goods and has poor practicality. Summary of the Invention

[0004] In view of the shortcomings of the existing technology, the purpose of this invention is to provide a classifiable random anti-counterfeiting label with reasonable structural design, good anti-counterfeiting performance, accelerated verification through structural improvement, and convenient and practical use.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a categorizable random anti-counterfeiting label, comprising a label base layer, a backing layer fixedly disposed on the upper surface of the label base layer, a categorization identification layer fixedly disposed on the upper surface of the backing layer, and a random pattern layer fixedly disposed on the upper surface of the categorization identification layer.

[0006] An anti-counterfeiting pattern layer is provided on the random pattern layer, which includes a random wrinkled pattern layer and a granular pattern layer.

[0007] The present invention is further configured such that: the backing layer is a bright silver backing layer, which enhances the contrast of the random anti-counterfeiting patterns on the random pattern layer.

[0008] The present invention is further configured such that: the anti-counterfeiting pattern layer is a random wrinkled pattern or / and granular pattern randomly formed on the classification mark during the curing process of UV-cured foaming ink.

[0009] The present invention is further configured such that: multiple classification identifiers are provided on the classification identifier layer, the classification identifiers include graphics, letters or numbers, and the classification identifiers are embedded by means of printed patterns.

[0010] The present invention is further configured such that: the label base layer is white label base paper, and the label base layer, the backing layer, the classification identification layer and the random pattern layer are combined into an integrated structure by printing layer by layer.

[0011] The beneficial effects of this invention are as follows: Compared with the prior art, this invention has a reasonable structural design. Since the random wrinkles and particle patterns are randomly generated during the curing process of UV-cured foaming ink, they have the characteristic of being physically uncopyable, ensuring accurate and reliable query results and greatly reducing the risk of counterfeiting. The classification and identification identifiers allow the algorithm to pre-lock the corresponding sub-database, thus accelerating the verification speed by tens or hundreds of times while ensuring verification accuracy. It offers good anti-counterfeiting performance, accelerates verification through structural improvements, and is convenient and practical.

[0012] The present invention will be further described below with reference to the accompanying drawings and specific embodiments. Attached Figure Description

[0013] Figure 1 This is a schematic diagram of the structure of an embodiment of the present invention;

[0014] Figure 2 This is an exploded view diagram of an embodiment of the present invention. Detailed Implementation

[0015] In the description of this embodiment, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," "outer," "front," and "rear," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0016] See Figures 1 to 2 The present invention discloses a categorizable random anti-counterfeiting label, comprising a label base layer 1, a backing layer 2 fixedly disposed on the upper surface of the label base layer 1, a categorization identification layer 3 fixedly disposed on the upper surface of the backing layer 2, and a random pattern layer 4 fixedly disposed on the upper surface of the categorization identification layer 3.

[0017] The random pattern layer 4 is provided with an anti-counterfeiting pattern layer, which includes a random wrinkled pattern layer and a granular pattern layer.

[0018] Preferably, the backing layer 3 is a bright silver backing layer, which enhances the contrast of the random anti-counterfeiting patterns on the random pattern layer 4. The background color is a highly reflective silver, which is easy to collect and identify.

[0019] To make the structural design of this invention more reasonable, preferably, the anti-counterfeiting pattern layer in this embodiment is a random wrinkled pattern and / or granular pattern randomly formed on the classification label during the curing process of UV-cured foaming ink. The random wrinkled or granular pattern has physically unreplicable characteristics, cannot be copied or reproduced by manufacturers or counterfeiters, and has a unique feature.

[0020] The classification label layer 3 is provided with multiple classification labels, which include graphics, letters or numbers, and are embedded by printing patterns.

[0021] As a preferred approach, pre-designing classification labels and random anti-counterfeiting patterns on them can help the algorithm quickly achieve classification; moreover, pre-designed classification labels can accelerate the algorithm's operation and solve the problem of excessive data volume to some extent.

[0022] The label base layer 1 is a white label base paper. The label base layer 1, the back layer 2, the classification identification layer 3, and the random pattern layer 4 are combined into an integrated structure by printing layer by layer.

[0023] In practical applications, easily identifiable classification identifiers are embedded in anti-counterfeiting labels. Therefore, when the verification system identifies the counterfeit goods, it can first perform pre-classification and then search in the sub-database, thereby reducing the number of comparisons and speeding up the verification process.

[0024] By embedding category identifiers, the total database can be divided into multiple sub-databases, which can improve the verification speed by orders of magnitude. For example, with 10 category identifiers, the verification speed can be improved by 10 times; with 100 category identifiers, the verification speed can be improved by 100 times, and so on.

[0025] Category labels can be embedded by designing printed patterns, without requiring additional manufacturing or printing processes or incurring additional production costs.

[0026] Based on the designed printing pattern (classification mark), UV-cured foaming ink is used for printing. During the curing process, the foaming ink can generate random anti-counterfeiting patterns. These random anti-counterfeiting patterns have random wrinkles and particle features generated during the foaming process, which is the basis of anti-counterfeiting.

[0027] A layer of bright silver backing is pre-added between the random anti-counterfeiting pattern and the label base to enhance the contrast of the random anti-counterfeiting pattern and facilitate subsequent machine input and verification.

[0028] Random anti-counterfeiting patterns with classification markings can be batch-entered by a label inspection machine before leaving the factory, and consumers can verify them through a dedicated verification system.

[0029] The verification system can use a classification-then-comparison approach to greatly speed up the verification process while ensuring security.

[0030] Before the labels leave the factory, the anti-counterfeiting random patterns on all labels are photographed in batches by a label inspection machine and stored in a database. At the same time, the anti-counterfeiting random patterns can be classified and stored according to category labels.

[0031] During the verification process, the verification system algorithm can first pre-classify the tags obtained from the photos according to the classification tags, and then search in the corresponding sub-database, thereby greatly speeding up the verification process.

[0032] In summary, by pre-designing classification labels and random anti-counterfeiting patterns on them, and printing the classification labels using UV-cured foaming ink, wrinkles or granular patterns are randomly formed on the labels during the curing process. Consumers scan the anti-counterfeiting patterns using mobile devices (such as smartphones), and a customized machine learning algorithm can quickly and accurately compare the physical anti-counterfeiting labels with label photos in a database through a classification-then-comparison approach to verify authenticity. Since the random wrinkles and granular patterns are randomly generated during the UV-cured foaming ink curing process, they possess physically uncopyable characteristics, greatly reducing the risk of counterfeiting. The classification and identification labels allow the algorithm to pre-lock the corresponding sub-database, thus accelerating the verification speed by tens or hundreds of times while ensuring verification accuracy.

[0033] This invention has a reasonable structural design, good anti-counterfeiting performance, accelerates verification through structural improvements, and is easy to use and practical.

[0034] The above embodiments, which describe the specific features of the present invention, are only used to further illustrate the present invention and should not be construed as limiting the scope of protection of the present invention. Any non-essential improvements and adjustments made to the present invention by those skilled in the art based on the above description of the invention shall fall within the scope of protection of the present invention.

Claims

1. A classifiable random security label comprising a label substrate layer (1), characterized in that: The upper surface of the label base layer (1) is fixedly provided with a back layer (2), the upper surface of the back layer (2) is fixedly provided with a classification identification layer (3), and the upper surface of the classification identification layer (3) is fixedly provided with a random pattern layer (4). The random pattern layer (4) is provided with an anti-counterfeiting pattern layer, and the anti-counterfeiting pattern layer comprises a random wrinkle pattern layer and a granular pattern layer.

2. The classifiable random anti-counterfeit label according to claim 1, characterized in that: The back layer (3) is a bright silver back layer, and the contrast of the random anti-counterfeiting pattern on the random pattern layer (4) is enhanced through the bright silver back layer.

3. A classifiable random security label according to claim 2, characterized in that: The anti-counterfeiting pattern layer is a random wrinkle pattern or / and a granular pattern randomly formed on the classification identification during the UV curing foaming ink curing process.

4. A classifiable random security label according to claim 3, characterized in that: The classification identification layer (3) is provided with a plurality of classification identifications, the classification identification comprises a figure, a letter or a number, and the classification identification is embedded by printing a pattern.

5. A classifiable random security label according to claim 1 or 4, characterized in that: The label base layer (1) is a white label base paper, and the label base layer (1), the back layer (2), the classification identification layer (3) and the random pattern layer (4) are combined into an integrated structure by layer-by-layer printing and bonding.

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