ActionSense is an innovative project that combines the power of computer vision with the connectivity of IoT to create a seamless human activity recognition system. Using OpenCV for accurate motion detection and pySerial for IoT integration, ActionSense transforms how environments respond to human actions, enhancing automation and interaction.
- Advanced Human Activity Recognition: Employs OpenCV to detect and classify various human activities in real-time with high precision.
- IoT Connectivity: Links recognized human activities to IoT devices using pySerial, enabling automated actions and smart responses.
- Real-Time Performance: Provides instant detection and response, ensuring a dynamic and interactive user experience.
- Customizable Action-Response Mapping: Allows users to define specific activities and corresponding IoT device responses, offering personalized automation.
- User-Friendly Interface: Features an intuitive setup and management interface for easy configuration and monitoring.
- OpenCV: For robust and efficient human activity recognition.
- pySerial: For seamless communication and integration with IoT devices.
- Python: As the primary programming language for developing the system.
- IoT Devices: Various connected devices to demonstrate the system’s capabilities.
- Smart Homes: Automate home devices based on detected human activities, such as turning on lights when someone enters a room.
- Healthcare Monitoring: Monitor patient movements and trigger alerts or actions in response to specific activities.
- Security Systems: Enhance security by detecting unusual activities and triggering alarms or notifications.
- Fitness and Sports: Track and analyze movements for training purposes or interactive fitness applications.
- Enhance Automation: Improve the responsiveness and intelligence of automated systems through accurate activity recognition.
- Promote Interaction: Create more interactive environments by connecting human actions to IoT devices.
- Demonstrate Innovation: Showcase the integration of advanced computer vision with IoT technology in a practical, user-friendly application.
- Nagulapally Bhargavi - https://github.com/bhargavi852004