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๐Ÿ•ถ๏ธ๐Ÿ•น๏ธUWI Final Year Capstone Project | Assistive technology that enables users to type with their eyes ๐Ÿ‘€

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EyeTracker System ๐Ÿง‘โ€๐Ÿ’ป

Description ๐Ÿ“

The EyeTracker system is an assistive technology that enables users to type with their eyes ๐Ÿ‘€. By leveraging a USB webcam and a simple button interface, the system detects the position of the user's pupils and maps them onto a virtual keyboard on the screen. This innovative approach allows for typing without the need for traditional input devices and includes text-to-speech functionality to vocalize the typed words ๐Ÿ—ฃ๏ธ.

Key Components ๐Ÿ”‘

The repository includes several essential files that contribute to the EyeTracker's functionality:

  • Static/: Contains CSS and JavaScript files, crucial for the main script's operation, including modules like jQuery.
  • Templates/index1.html: Hosts the keyboard interface and server-side JavaScript code.
  • eyes.py: The primary image processing script for pupil tracking.
  • flaskbog.py: The Flask application that launches the web interface.
  • ArduinoFinalYP.c: Manages button and gyroscopic input.

Other files in the repository are for testing or support the main scripts indirectly.

Installation and Execution ๐Ÿš€

To get the EyeTracker system up and running:

  1. Connect a USB webcam and the button circuit to your computer.
  2. Run the flaskbog.py script to start the web application.

Configuration Notes โš™๏ธ

  • Adjust the eye detection sensitivity in eyes.py (threshold range: 0 - 255, set at line 6).
  • Modify the visible box limit in the video feed within eyes.py (lines 121 - 124).
  • Change the communication port settings in flaskbog.py.
  • Tweak the error values for eye coordinate mapping in Templates/index1.html (lines 427-428).

Documentation ๐Ÿ“š

Explore the project's detailed explanation, including a report, poster, and PowerPoint presentation, at the project documentation link.

Future Enhancements ๐ŸŒŸ

  • Infrared Camera Integration: To boost accuracy and minimize pupil detection errors.
  • Y Coordinate Optimization: Improving the selection process by:
    • Using eye movement to select between two columns on the keyboard.
    • Employing buttons to choose the desired column, then switching to row selection for letter choice.

Contributions and suggestions are welcome to help enhance the EyeTracker system. Thank you for your support and interest! ๐Ÿ™

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๐Ÿ•ถ๏ธ๐Ÿ•น๏ธUWI Final Year Capstone Project | Assistive technology that enables users to type with their eyes ๐Ÿ‘€

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