Project Overview
A sophisticated home automation system that allows users to control their home appliances through natural interactions like hand gestures and voice commands. The system combines computer vision, speech recognition, and IoT technologies to create an intuitive and hands-free home control experience.
Key Features
- Gesture Recognition
- Real-time hand tracking using MediaPipe
- Custom gesture mappings for different appliances
- Intuitive gesture controls (e.g., swipe to turn on/off)
- Voice Control
- Natural language voice commands
- Speech-to-text conversion
- Voice feedback for command confirmation
- Wireless Communication
- HC-12 wireless modules for long-range control
- Reliable data transmission protocol
- Low-latency response time
Technologies Used
Python
MediaPipe
Arduino
OpenCV
Speech Recognition
Relay Control
Implementation Details
- Implemented hand tracking using MediaPipe's hand landmark detection
- Developed custom gesture recognition algorithms for specific commands
- Integrated speech recognition for voice command processing
- Created Arduino firmware for wireless communication and relay control
- Built a reliable communication protocol between Python and Arduino
- Implemented error handling and fail-safe mechanisms
Future Enhancements
- Mobile app integration for remote control
- Machine learning for personalized gesture recognition
- Integration with popular smart home platforms
- Energy consumption monitoring and optimization