使用区块链检测假冒产品

Kunal Wasnik, Isha Sondawle, Rushikesh Wani, Namita D. Pulgam
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引用次数: 9

摘要

供应链管理经常面临服务冗余、多个部门之间协调不佳以及由于缺乏透明度而缺乏标准化等问题。假冒产品是一件非常普遍的事情,现在几乎不可能仅仅通过观察来检测假冒产品。造假者给合法公司带来了巨大的挑战,但太多的人不知道假冒产品对品牌的影响。过去设计了几种方法来解决产品假冒问题。最流行的方法是使用RFID标签、人工智能、基于二维码的系统等。但它们都有一些缺点,比如二维码可以从正品上复制并放置在假货上,人工智能使用CNN和机器学习,需要大量的计算能力等等。这个项目的想法是通过跟踪供应链历史来提高对假冒产品的检测。这是通过区块链技术实现的,该技术确保了整个供应链中真实产品的识别和可追溯性。基于区块链的系统,使一切去中心化,可以由多方同时访问。它的主要优点之一是,记录的数据在未经各方同意的情况下很难更改,这使得数据非常安全,并且可以防止所有漏洞。本文介绍了使用区块链技术设计的检测假冒产品的系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of Counterfeit Products using Blockchain
Supply chain management frequently faced issues such as service redundancy, poor coordination between several departments, and lack of standardization as a result of the lack of transparency. Product counterfeiting is something which is very common now-a-days and it’s almost impossible to detect a counterfeit product just by looking at it. Counterfeiters cause significant challenges for legitimate firms, yet far too many people have no idea of the entire amount of counterfeit items’ influence on brands. There are several methods devised in the past to get away with this problem of product counterfeiting. The most popular methods are using RFID tags, Artificial Intelligence, QR code based systems, etc. But each of them had few disadvantages such as the QR code can be copied from a genuine product and placed on a fake product, artificial intelligence uses CNN and machine learning which needs heavy computational power and so on. The idea of this project is to improve detection of fake products by tracking its supply chain history. This is achieved with Blockchain technology which ensures the identification and traceability of real products throughout the supply chain. Blockchain based system, makes everything decentralized that may be accessed by several parties at the same time. One of its main advantages is that the recorded data is difficult to change without the consent of all parties concerned which makes the data extremely secure and protect from all vulnerabilities. This paper presents system designed using blockchain technology for detection of counterfeit products.
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