Currency Detector App for Visually Impaired

Abstract:

The “Currency Detector App for Visually Impaired” is a mobile application designed to assist visually impaired individuals in identifying and managing different currencies. The app utilizes advanced image recognition and machine learning technologies to accurately detect and distinguish between various currency denominations. By providing audio feedback and accessible features, the app aims to enhance financial independence and convenience for users with visual impairments.

Existing System:

Current solutions for visually impaired individuals to identify currency often include specialized devices or tactile currency aids. These methods may be costly, cumbersome, or limited in terms of currency variety and accessibility. Existing mobile apps for currency recognition might lack accuracy, comprehensive currency support, or accessibility features tailored to visually impaired users.

Proposed System:

The “Currency Detector App for Visually Impaired” proposes a mobile application that leverages image recognition and audio feedback to provide an accessible and user-friendly solution for currency identification. The app will support a wide range of currencies, offer real-time recognition, and provide accurate audio descriptions of detected denominations. The goal is to improve financial management and independence for visually impaired users through an intuitive and accessible platform.

Methodologies:

1. User Authentication and Accessibility Features:
   • Account Creation: Allow users to create and manage accounts with preferences for accessibility features.
   • Accessibility Options: Implement features such as voice commands, large text, and high-contrast themes to enhance usability for visually impaired users.
2. Currency Recognition and Identification:
   • Image Recognition: Utilize machine learning models to detect and identify different currency denominations from camera images.
   • Real-Time Processing: Provide real-time currency recognition and feedback for immediate use.
3. Audio Feedback and Description:
   • Voice Output: Offer clear and accurate audio descriptions of detected currency denominations.
   • Customizable Settings: Allow users to adjust audio settings, such as voice type and volume, to suit their preferences.
4. User Interface and Experience:
   • Voice Commands: Implement voice command functionality for hands-free operation and ease of use.
   • Simple Navigation: Develop a user-friendly interface with easy navigation and accessible controls.
5. Currency Database and Support:
   • Currency Database: Maintain a comprehensive database of supported currencies, including images and descriptions for each denomination.
   • Regular Updates: Update the database to include new currencies and changes to existing ones.
6. Performance Optimization:
   • Efficient Image Processing: Optimize image recognition algorithms for quick and accurate currency detection.
   • Battery Management: Implement techniques to minimize battery consumption during extended use.
7. Security and Privacy:
   • Data Protection: Ensure user data and preferences are securely stored and protected.
   • Privacy Controls: Provide users with controls to manage their privacy settings and data sharing preferences.
8. Testing and Validation:
   • Functional Testing: Test app features, including currency recognition, audio feedback, and accessibility options.
   • User Testing: Collect feedback from visually impaired users to refine features, improve usability, and address any issues.

Technologies Used:

1. Android SDK: For developing the Android app, utilizing native libraries and tools for UI design, camera integration, and audio feedback.
2. Image Recognition:
   • TensorFlow or ML Kit: For implementing machine learning models to detect and recognize currency denominations from camera images.
3. Text-to-Speech (TTS) Technology:
   • Google Text-to-Speech: For converting recognized currency information into audio descriptions.
4. Database Management:
   • Firebase Firestore or SQLite: For managing currency data, including images and descriptions.
5. Voice Command Integration:
   • Google Assistant SDK: For implementing voice command functionality and enhancing accessibility.
6. Security Libraries:
   • AES Encryption: For securing user data and preferences.