Real-time Yemeni Currency Detection
AL-Edreesi, Edrees, Al-Gaphari, Ghaleb
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Jun-18-2024
- Country:
- Asia
- China (0.04)
- Middle East > Yemen
- Amanat Al Asimah > Sanaa (0.05)
- North America > United States
- Nevada > Clark County > Las Vegas (0.04)
- Asia
- Genre:
- Research Report (0.50)
- Industry:
- Law (0.34)
- Technology: