Real-time Yemeni Currency Detection

TL;DR

This paper introduces a real-time mobile application utilizing deep learning to assist visually impaired individuals in recognizing Yemeni banknotes, enhancing their independence in daily transactions.

Contribution

It presents a novel deep learning-based system specifically designed for Yemeni currency recognition, deployed on mobile devices for real-time assistance.

Findings

High accuracy in Yemeni banknote recognition

Effective real-time performance on mobile devices

Significant aid for visually impaired users

Abstract

Banknote recognition is a major problem faced by visually Challenged people. So we propose a application to help the visually Challenged people to identify the different types of Yemenian currencies through deep learning technique. As money has a significant role in daily life for any business transactions, real-time detection and recognition of banknotes become necessary for a person, especially blind or visually impaired, or for a system that sorts the data. This paper presents a real-time Yemeni currency detection system for visually impaired persons. The proposed system exploits the deep learning approach to facilitate the visually impaired people to prosperously recognize banknotes. For real-time recognition, we have deployed the system into a mobile application.