Identifying Fake Products Through A Barcode-Based Blockchain System

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Nevon Blockchain project ideas
nevon software

With the rise of globalization and the ever-increasing rate of technological advancement, the volume of production as well as the ease of obtaining counterfeit goods has reached new levels. It impacts a company’s sales, reputation, and revenues, as well as poses a lethal hazard to unsuspecting customers.

Our Fake Product Identification Through Barcode Using Blockchain Technology System – a Dotnet project proposes a form of identification of fake products using blockchain technology. In the proposed system, we are assigning a barcode to a particular product created by the manufacturer along with all the details of the product and the end customer can scan that barcode to get all information about that product. After scanning the barcode, the user can identify whether the product is real or fake.

Our project proposes a convenient, accurate and low-cost product anti-counterfeiting solution. It comprises 2 modules, including Admin and User. The admin will have the access to add, update, view and delete the products. They also have to add the product information, including Product Serial Id, Date of Manufacture, Origin of the Product, Expiry Date, etc., along with the information of the seller. The admin can also view fake entries.

The user would need to register first to log into the system. To check out whether a product is fake or not, the user would need to scan the barcode of the product. If it detects the product, the user will be able to see all the details of the product. If the scanned barcode is fake, it will let the user know that the product is fake. If no product is found, the user can upload a product photo with details as a fake product entry to admin.

All the details here are saved in a block to ensure that no product information is fabricated or modified. In this project, the front end involves Html, CSS, and JavaScript and the back end involves MSSQL. The IDE used is Visual Studio.


  • It is easy to maintain.
  • The system is user-friendly.
  • It provides security to consumers by offering authentic data to them.
  • It aims to stop the making of fake products by conducting transparency about the products to the notice of the consumers.