Mission objectives
The project draws inspiration from Carl Sagan’s idea of detecting life on Earth as if it were an alien planet. Its purpose is to design an autonomous research probe capable of assessing the potential for life in an unknown environment by analyzing physical and chemical parameters of the atmosphere and surface. Key indicators include:
- Methane (CH₄) – a gas produced by biological activity, suggesting ongoing life processes;
- Oxygen (O₂) – a reactive element that must be continuously replenished by living organisms;
- Ammonia (NH₃) – high concentrations indicate an environment hostile to life;
- Temperature and pressure – essential factors determining environmental stability;
- Image analysis – searching for visual patterns and traces linked to biological activity.
The collected data are processed by an AI algorithm that classifies the environment based on its potential habitability.
System description
Mission overview
The probe will be released from a rocket at approximately 2800 m, and will perform measurements during descent, maintaining a maximum velocity of 8 m/sData will be recorded and partially processed on board.
Mechanical design
- 3D-printed casing made of PETG, ensuring durability and low mass.
- Easy access to power supply and memory slot.
- Parachute mounted on the top section for stable descent.
Electrical design
- Central unit: Raspberry Pi Pico 2 (RP2040).
- Sensors for temperature, pressure, humidity, methane, oxygen, ammonia, and visible light spectrum.
- GPS module and camera for positioning and imaging.
- Radio communication via nRF905.
Power supply
- Two Li-Ion 2500 mAh / 3,7 Vbatteries powering the entire system.
Communication
- One-way data transmission (between the probe and the ground station).
- Onboard data processing to minimize radio transmission.
Software design
- Core code in C/C++.
- AI image analysis implemented in Python.
- Ground station application displaying measurements through real-time charts.
Recovery system
- Parachute for controlled descent.
- GPS and buzzer for location tracking after landing.
Kampania testowa
- Power endurance tests – battery duration tested in extreme weather and indoor conditions.
- Primary sensor validation – comparing readings with reference laboratory equipment.
- AI evaluation – testing recognition performance in simulated conditions.
- Recovery system tests – drone drop tests from approximately 500 meters.
- Communication range tests – indoor and outdoor range verification.
Outreach program
Alongside engineering work, the team maintains active outreach initiatives promoting science and technology. These include updates on social media (this official website:), Facebook, Instagram) as well as educational activities such as workshops and lectures at scientific conferences and events, all aimed at inspiring young people to explore space science and engineering.