A complete computer vision project for detecting, classifying, and counting Egyptian banknotes using YOLOv8. Includes both a Flask web application and a Jupyter notebook for training and experimentation.
This project implements an automated Egyptian currency detection system capable of:
- Detecting all Egyptian denominations (5, 10, 20, 50, 100, 200 EGP)
- Recognizing both front and back sides of banknotes
- Calculating total monetary value in images
- Real-time detection via webcam
- Web-based deployment for easy access