Method and system for tracing the origin of river crabs

Abstract

The present invention provides a method and system for tracing the origin of river crabs. The method includes: acquiring an image of a purchased target river crab carapace; uploading the target river crab carapace image to a blockchain, and calling the traceability deployed on the blockchain. The smart contract determines the traceability information of the target origin of the target crab. The system performs the method. The invention applies the image classification technology to the origin identification and traceability of river crabs, avoids the phenomenon that the traditional anti-counterfeiting method of crab buckles is easy to be used after counterfeiting, and can prevent the market order chaos caused by the fraudulent origin of illegal merchants, thereby maintaining consumers and consumers. legitimate rights and interests of merchants.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a method and system for tracing the origin of river crabs. Background technique [0002] Special agricultural products with regional characteristics have great advantages in terms of shape and quality compared with general agricultural products; they have obvious regional characteristics, good quality and special effects. Driven by economic interests, some unscrupulous merchants falsify their origins and fish in troubled waters, causing certain damage to the rights and interests of consumers. [0003] Among them, high-quality crab has a high reputation, and its price is much higher than that of crabs from other origins. Lawbreakers will sell through counterfeit brand crabs and other means, which seriously affects the normal order of the Chinese mitten crab industry and the legitimate rights and interests of producers and consumers. Therefore, the research on the origi...

AI Technical Summary

Problems solved by technology

The analysis found that detection methods based on artificially designed features (color, shape, texture, etc.) need to artificially select feature parameters and design feature extraction methods, and the selection of features requires a lot of experiments and experience, which is seriously energy-consuming. Others based on deep learning The recognition accuracy of the image classification model is not high enough

[0008] At the same time, the current anti-counterfeiting of river crabs mainly relies on crab clasps printed with anti-counterfeiting marks such as barcodes or QR codes. This method is highly reproducible, and there is a risk of malicious forgery or secondary recycling by illegal traders, and the traceability verification results are not credible.

On the other hand, it is not conducive to the healthy development of the industry to pretend to be the origin of river crabs by "bathing"

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