Indian Currency Recognition Using ESP32-CAM & Edge Impulse

Can a small and affordable board like the ESP32-CAM recognise Indian currency notes in real time? Yes — and that’s exactly what this project demonstrates. In this ESP32 CAM Currency Recognition project, the ESP32-CAM is combined with Edge Impulse to create an offline currency recognition system capable of identifying Indian Rupee notes using embedded machine learning. The entire AI model runs directly on the device, meaning no cloud processing is required after deployment. Once trained, the system detects the currency denomination placed in front of the camera and provides instant feedback using LEDs and Serial Monitor output. What You’ll Learn TinyML & Edge AI fundamentals ESP32-CAM camera interfacing Edge Impulse ML workflow Dataset collection & labeling Object detection on microcontrollers Arduino deployment of ML models What is ESP32-CAM Currency Recognition? This project uses machine learning on embedded hardware to classify Indian currency notes locally. Instead of sending images