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What is Ethiopian Currency Recognition for the Visually Impaired about?

This document discusses developing a real-time currency recognition system for visually impaired people in Ethiopia using convolutional neural networks. It aims to recognize Ethiopian paper banknotes even if images are distorted or folded. The models were trained on 8500 banknote images collected under various conditions and evaluated on 500 real-time videos. The Faster R-CNN Inception and SSD MobileNet models achieved average accuracies of 91.8% and 79.4% respectively on the test videos. The system could h

Author

Mohammed Seid

Language

EN