A classifiable random anti-counterfeiting label

By introducing a bright silver backing layer, classification markings, and random pattern layers into the anti-counterfeiting label, combined with UV-cured foaming ink and machine learning algorithms, the problem of slow verification speed in existing technologies has been solved, achieving fast and accurate anti-counterfeiting verification.

CN224553795UActive Publication Date: 2026-07-24WENZHOU HAOGE ANTI COUNTERFEITING TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
WENZHOU HAOGE ANTI COUNTERFEITING TECH
Filing Date
2025-08-18
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

The existing random anti-counterfeiting label structure is poorly designed, has a slow verification speed, cannot be used for rapid verification of large quantities of goods, and has poor practicality.

Method used

A categorizable random anti-counterfeiting label was designed. By setting a bright silver backing layer, a classification mark layer and a random pattern layer on the label base layer, random wrinkled and granular patterns are generated using UV-cured foaming ink. The label is pre-classified by the classification mark and then quickly verified by machine learning algorithms.

Benefits of technology

It achieves a verification speed that is tens or hundreds of times faster, ensures verification accuracy, reduces the risk of counterfeiting, and improves anti-counterfeiting performance and practicality.

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Abstract

The utility model discloses a kind of classifiable random anti-fake labels, including label substrate, the upper surface of label substrate is fixedly provided with back bottom layer, the upper surface of back bottom layer is fixedly provided with classification identification layer, the upper surface of classification identification layer is fixedly provided with random pattern layer;Random pattern layer is provided with anti-fake pattern layer, and the anti-fake pattern layer includes random wrinkle pattern layer and granular pattern layer.The above technical solution, structure design is reasonable, because random wrinkle and granular pattern are generated randomly in the solidification process of UV solidification foaming ink solidification, with physical non-reproducible characteristics, accurate and reliable query conclusion greatly reduces the risk of being counterfeited.Classification identification mark can make algorithm pre-locked corresponding sub-database, so as to make verification speed accelerate by tens or hundreds of times, while ensuring verification accuracy.Good anti-fake performance, accelerate verification through structural improvement, convenient to use and good practicality.
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