Tracing anti-counterfeiting multi-dimensional code online verification and tagging method

Abstract

The invention discloses a traceability anti-counterfeiting multi-dimensional code online tagging and verification method adopting a block chain Internet of Things technology, which is applied to the field of anti-counterfeiting technology, the multi-dimensional code tagging process is that an Internet of Things module additionally arranged on production equipment reads from a cloud end and tags the codes to commodities on a production line in real time, each product is produced, and the verification of the products is completed. The equipment is endowed with a unique recognition code. When the code is endowed, information of a product needing to be produced is injected, reading and binding activation through other image recognition technologies are not needed any more, in this way, the product tagging cost can be reduced to the maximum extent in cooperation with the commodity production takt. Meanwhile, in the tagging process, enterprises cannot obtain the anti-counterfeiting code, and the product tagging efficiency is improved. The network end address of the Internet of Things module is authenticated and locked by the system, and if the module is moved to different websites, the commodity cannot be tagged, so that the origin protection can be really realized, and the commodity is ensured to be produced in the original factory.

Description

technical field [0001] The invention relates to the field of anti-counterfeiting technology, and more specifically relates to an online code assignment and verification method of a traceable anti-counterfeiting multi-dimensional code using blockchain Internet of Things technology. Background technique [0002] The commonly used commodity anti-counterfeiting method is basically physical anti-counterfeiting, which is displayed by pasting labels (such as laser anti-counterfeiting, high-temperature disappearing anti-counterfeiting, material texture anti-counterfeiting, etc.). The development of science and technology provides more physical technical means for label anti-counterfeiting, but at the same time it also enables counterfeiters to have more ways to crack and imitate anti-counterfeiting measures. Although some existing advanced anti-counterfeiting measures (such as invisible fluorescent anti-counterfeiting technology, ultra-fine particle anti-counterfeiting technology, e...

AI Technical Summary

Problems solved by technology

[0005] 1. The establishment of an artificial intelligence differential recognition model requires a data accumulation process and a learning process to enrich the recognition ability of the model. This process increases the time and cost for application realization

[0006] 2. All data is stored in a single central node, and the data may be tampered with in the background

[0007] 3. Coding on the production line: it can be one of spraying, etching, and pasting, but the two-dimensional code is generated in advance and stored in the equipment storage medium of the production line or the enterprise management background, and The pre-generated QR code itself is easy to be reused, resulting in counterfeiting

[0008] 4. After code assignment, artificial intelligence image recognition technology is required to identify the image and bind it to the code. Due to the instability and low efficiency of the image recognition technology in this process, the cost of industrialization is high

[0009] 5. When the production plant assigns codes to commodities, it may transfer the coding equipment to different regions that are not approved by customers, which leads to the counterfeiting of coded commodities from the source (especially for products with designated production sites) such as auto parts)

Images