AI USM Keyboards

An advanced virtual keyboard system using AI for hand gesture detection and interaction, developed with Python, OpenCV, Mediapipe, and other supporting libraries. Created in collaboration with smbtk-ops.

Project Description

AI USM Keyboards is an innovative solution that leverages artificial intelligence for hand gesture recognition, transforming them into inputs for a virtual keyboard interface. By combining computer vision and machine learning techniques, this project offers a touchless typing experience that can benefit a wide range of users. It is particularly useful for individuals with physical limitations, reducing dependency on traditional input devices. Additionally, it offers potential applications in fields such as medicine, education, assistive technology, and remote working scenarios, providing a hygienic alternative for public settings and healthcare facilities.

Key Features and Benefits

• Touchless Typing: Enhances accessibility for users with limited mobility and offers a more hygienic alternative to physical keyboards.
• Real-Time Hand Gesture Recognition: Utilizes computer vision models for fast, responsive input processing.
• Assistive Technology: Empowers individuals with disabilities by allowing interaction through natural hand movements.
• Healthcare Applications: Reduces the need for contact with input devices in sterile or sensitive medical environments.
• Flexible Integration: Can be extended or adapted for various use cases such as virtual reality, telemedicine, and public kiosks.

Technologies Used

• Python: Core programming language for logic and development.
• OpenCV: Used for computer vision operations such as detecting and processing video input.
• Mediapipe: Powers hand-tracking and gesture recognition functionalities.
• Pygame: Facilitates user interface development and audio interactions.
• Pynput: Handles system keyboard input for mapping gestures.
• Pillow: Manages image rendering for text and visual feedback.

Installation Instructions

To set up this project on your local machine, follow these steps:

1. Clone the Repository:

   git clone https://github.com/Lykman/AI_USM_Keyboards.git
   cd AI_USM_Keyboards

2. Create and Activate a Virtual Environment:

   On Linux/MacOS:

   python -m venv venv
   source venv/bin/activate

   On Windows:

   python -m venv venv
   venv\Scripts\activate

3. Install Dependencies:

   pip install -r requirements.txt

Usage Instructions

To run the main script:

python main.py
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# AI_USM_Keyboards
An advanced virtual keyboard system using AI for hand gesture detection and interaction, built with Python, OpenCV, and Mediapipe.