Currency And Counterfeit Currency Detection Using Machine Learning Algorithms
Mohit Gour, Manas Salunke, Lalit Kumar, Yogesh Kumar, Saurabh Bansod, Prashant Pal, Shashank Kumar Singh · 2023
This project aimed to develop a solution which can assist visually impaired individuals in identifying currency denominations and detecting counterfeit currency. To achieve this, we used Teachable Machine for currency denomination detection and MATLAB for counterfeit currency detection. The resulting model was then integrated into an Android application, making it easily accessible to users. The project involved collecting and recording audio files for different currency denominations, which were then used for training the Teachable Machine model. The MATLAB model used edge detection and feature extraction techniques to detect counterfeit currency. The Android application provided an easy-to-use interface for users to detect the denomination of currency and identify its originality. By integrating these two models, we were able to achieve a solution that can be used by visually impaired individuals to easily identify currency and avoid counterfeit currency. In summary, this project presents a practical solution to address the challenges faced by visually impaired individuals in handling currency and detecting counterfeit currency.