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Project information

  • Category: Machine Learning Model
  • Purpose: College Project
  • Project date: 2 October, 2023

Project Details

The Fake Currency Detection System employs cutting-edge technology, including image processing, machine learning algorithms, UV and IR detection, and MICR analysis, to swiftly and accurately identify counterfeit banknotes. Capable of scrutinizing various security features embedded in currency notes, such as watermarks, security threads, microprint patterns, and magnetic ink characters, the system provides real-time feedback on the authenticity of scanned banknotes, enabling prompt action to prevent fraudulent transactions. With support for multiple currencies and a user-friendly interface, it offers robust protection against counterfeit currency, helping businesses, financial institutions, and law enforcement agencies safeguard themselves against financial losses and maintain the integrity of monetary systems.