Detection of counterfeit products using Block chain Technology
Author(s):
chandru, s.kavitha, akshai kumar T.N, danush.s
Keywords:
Abstract
Issues like inadequate departmental coordination, service redundancy, and a lack of standardization resulting from a lack of transparency were frequently faced by supply chain management. Because product counterfeiting is so common these days, it is practically hard to spot a counterfeit item just by looking at it. Counterfeiters are a major obstacle for legitimate firms, despite the fact that far too many people are ignorant of the complete impact that counterfeit items have on enterprises. Several approaches have been used in the past to address the problem of product counterfeiting. The most popular methods include using AI, QR code-based systems, RFID tags, and other methods. Every one of these has a few limitations, though: artificial intelligence necessitates CNN and machine learning, which demand a lot of computing power; a fake product can use a fake QR code, and so on. The objective is to improve the detection of fake products by tracking their previous supply chain. Genuine product identity and supply chain traceability are ensured by blockchain technology. A blockchain-based system is decentralized since multiple parties can access everything at once. One of its main advantages is that the recorded data is difficult to change without the consent of all persons involved, making it extremely safe and secure from any flaws.
Article Details
Unique Paper ID: 164322

Publication Volume & Issue: Volume 10, Issue 12

Page(s): 1331 - 1338
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