An Experimental Evaluation of an Effective QR Code Based Duplicate Product Detection Using Blockchain Technology

Over the span of the last few years, innovations in blockchain technology have received a great deal of attention. Currency exchange, which has a variety of applications in addition to digital money, is the subject that receives the most attention. Because of this, it may have an effect on multiple industries. Large-scale financial transactions have become more transparent and straightforward as a result of the implementation of blockchain technology. Through the utilization of blockchain technology, we are able to recognize counterfeit merchandise. When it comes to making a purchase of any kind in this day and age, the question of authenticity frequently makes an appearance. In addition, studies have shown that these aspects are essential for the expansion of the economy. In light of this, it is of the utmost importance to educate consumers about the transparency of the items in order to decrease the number of counterfeit goods. With blockchain technology, we have taken a step closer to eliminating the ever-increasing presence of false and hazardous items from the global market. This is a cause for concern. Each and every person ought to be made aware of the fact that the utilization of technology will result in a reduction in the production of merchandise that is counterfeit. Every item must be given a one-of-a-kind digital code in order to guarantee that the production and packaging processes are carried out correctly. In this research, a novel method for detecting counterfeit goods is presented. This method is referred to as the Blockchain and QR based Product Analyzer (BQRPA). It undergoes cross-validation with the traditional Classical Fake Product Identifier (CFPI) in order to determine whether or not it is effective. Within the context of the software installation process, this programme performs a scan of the product code in order to ascertain whether or not the product in question is a counterfeit.