A Modern Defence Against Counterfeit Products

Abstract

Supply chain management faced problems as often as possible, such as repeated benefits, moderate coordination between several offices, and the need for standardization due to the need for uncomplicated things. In the past, various methods have been developed to request shortages of objects. CNN and machine learning require overwhelming computing control. The idea for this extension is to track progress by discovering fake objects by following supply chain history. Blockchain is based on a framework and decentralizes everything that some parties store simultaneously. The first concern is that data record information becomes a problem without changing the consent of all involved. This makes the information extremely secure. Fake product recognition is intended to identify fake products based on a variety of technologies that technologies such as Q R codes, barcodes, and machine learning are primarily used to verify the reliability of a product. Machine learning algorithms can be trained to classify products as real or fake based on a variety of features, such as image recognition and product information. Blockchain offers a secure, transparent, general book for storing product information and pursuing properties. This allows you to see the product jump.