Real-time Yemeni Currency Detection
This addresses a practical daily challenge for visually impaired people in Yemen, but it is incremental as it applies existing deep learning methods to a specific new dataset.
The paper tackles the problem of banknote recognition for visually impaired individuals by developing a real-time Yemeni currency detection system using deep learning, resulting in a deployed mobile application to facilitate recognition.
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.