commodity appearance anti-counterfeiting method based on image recognition of a CNN

Abstract

The invention discloses a commodity appearance anti-counterfeiting method based on image recognition of a CNN. Anti-counterfeiting technology field, The invention discloses a commodity appearance anti-counterfeiting method based on image recognition of a CNN. The method comprises the following steps of collecting appearance information through a Photographing mechanism in a photo or video mode andstored in the system; selecting the collected pictures or videos; adjusting the sizes of all pictures to be uniform through a picture processing algorithm; carrying out training based on a CNN model;after training is completed, carrying out model testing to improve the accuracy of testing pictures and finally deploying the model to a cloud server, Before buying a commodity, a consumer photographs the commodity and uploads the commodity to the cloud server for identification and comparison. The method has the advantages that the commodity identification rate is obviously improved, the commodity authenticity identification capability almost can reach the artificial identification standard, a convenient and quick powerful tool for identifying true and false commodities is provided for consumers, and the possibility that the consumers buy false commodities is greatly reduced.

Description

technical field [0001] The present invention relates to the technical field of anti-counterfeiting, and more specifically, relates to a method for anti-counterfeiting of commodity appearance based on CNN image recognition. Background technique [0002] At present, the appearance anti-counterfeiting methods of commodities are mostly divided into two categories: 1, printing anti-counterfeiting; 2, image generation and recognition algorithm anti-counterfeiting. [0003] 1. The printing anti-counterfeiting method mainly uses special materials and monopoly printing technology to print commodity trademarks and special picture icons on the outer packaging of commodities. This kind of anti-counterfeiting method can basically prevent counterfeiters from imitating and copying, but the biggest problem lies in the computer system. Without effective identification ability, consumers themselves also lack the ability to identify such anti-counterfeiting printing technology, so this type of...

AI Technical Summary

Problems solved by technology

[0007] 1. Consumers have no channels to obtain these identification means

[0008] 2. There are many types of commodities, and each commodity has different identification methods. For 1,000 kinds of commodities, 1,000 identification methods must be mastered, and consumers cannot master so many skills.

[0009] 3. Products are constantly updated and iterated, identification methods are updated, and consumer information is not updated in time

[0010] There are also some special products that are in different states before leaving the factory and after leaving the factory. For example, jujube honey is in a viscous state before leaving the factory. After leaving the factory, it may become crystallized due to the temperature relationship, and the appearance of the product will change. Even if the appearance identification is consistent, Due to the lack of awareness of jujube nectar, consumers are unwilling to buy such products, resulting in unsalable crystallized jujube nectar. In addition, the smell of genuine jujube nectar is quite special. Unscrupulous merchants can take advantage of the loopholes and make them more popular among consumers. Counterfeit products with a pleasant fragrance, because consumers lack awareness of such special products, they are prone to unsalable products or the possibility of buying counterfeit products

Images