Summary of Real-time Yemeni Currency Detection, by Edrees Al-edreesi and Ghaleb Al-gaphari
Real-time Yemeni Currency Detection
by Edrees AL-Edreesi, Ghaleb Al-Gaphari
First submitted to arxiv on: 18 Jun 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed application uses deep learning techniques to help visually impaired individuals identify different types of Yemenian currencies. This is particularly important for daily life transactions and for systems that sort data. The application presents a real-time Yemeni currency detection system designed specifically for visually impaired persons. By leveraging deep learning, the system enables users to recognize banknotes efficiently. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The app uses deep learning to help blind or visually impaired people identify different types of Yemenian currencies in real-time. This makes it easier for them to make transactions and sort data. The app is designed specifically for visually impaired persons and uses a deep learning approach to recognize banknotes. |
Keywords
» Artificial intelligence » Deep learning
