GeoSifter is an innovative satellite system powered by AI designed to autonomously collect mud and soil samples from Earth's surface. By combining robotics, AI algorithms, and satellite communication systems, GeoSifter aims to create a fully autonomous solution for sample collection, enabling real-time data analysis and communication.
- Raspberry Pi: Acts as the central processing unit, controlling the satellite's systems and communication.
- AI Algorithms: Used for autonomous navigation, terrain mapping, and real-time decision-making.
- Robotic Systems: Includes a robotic arm or drone for efficient mud and soil sample collection.
- Satellite Communication System: Transmits collected data from the satellite back to Earth.
- Data Storage & Processing: Local analysis of the sample data on-board, with results transmitted to Earth.
- Real-time Camera Feed: A camera system integrated into the rover that streams to your computer.
- Robotic Hand-like System: A robotic hand system controlled via Raspberry Pi, enabling the rover to pick up and manipulate objects.
- Google Gemini 1.5 Flash Integration: Used for communication with the rover via an app or web interface.
- Firebase Web Server: A small-scale example of satellite communication, mimicking real-life scenarios with a web server hosted on Firebase.
- Python 3.12 for AI and system control.
- Flask for handling satellite operations and data communication.
- Raspberry Pi as the central hub for hardware control and communication.
- Google Gemini 1.5 Flash for AI interaction and communication.
- Firebase for web-based management of rover systems.
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If you are still interested, here is a link to our blogpost to learn more...
