SpaceGuardian

💡 Idea

Low-Earth orbit isn’t overcrowded yet, but with over 30 satellites launched every week, it’s quickly becoming more congested, significantly increasing the risk of collisions (Kessler syndrome). While tools like LeafSpace, Neuraspace and LeoSafe help identify potential threats, the response process relies on outdated protocols and manual actions. These methods are slow, error-prone, and inefficient, wasting fuel and shortening satellite lifespans. Worse, collisions create space debris, intensifying the problem for all operators.

We created SpaceGuardian, a subscription-based SaaS platform that goes beyond monitoring to automate satellite collision prevention and maneuver optimization. Using advanced predictive algorithms, SpaceGuardian tracks satellite trajectories, anticipates risks, and automatically calculates, simulates, and executes the best maneuvers. These actions prioritize fuel efficiency, minimize future collision risks, and maintain long-term operational performance. Moreover, the platform provides a proactive and reliable solution for safeguarding satellites. It promotes a safer, more sustainable orbital environment for all.

❤️ EU space technologies

SpaceGuardian integrates critical data, advanced models, and efficient processes to create a reliable system for space traffic management. At its core is the Simplified General Perturbations (SGP) model, which utilizes publicly available two-line element sets to predict satellite trajectories accurately. Paired with real-time Conjunction Data Messages (CDMs), it provides continuous updates on potential close approaches and forms a solid foundation for assessing and mitigating collision risks.

Our solution integrates sensor data, orbit characteristics, and external forces to dynamically adapt to changes such as satellite maneuvers or environmental factors, refining position and velocity predictions with precision. By combining real-time data, advanced trajectory modeling, and high-accuracy ephemeris information, the system delivers reliable predictions and enables timely, effective responses to potential risks.

💪 EU Space for Defence and Security

We are addressing Challenge 3: Orbital Safety - Simulation Exercise by developing a data-driven strategy to protect satellite operations from space debris and other potential threats. Our solution uses real-time Conjunction Data Messages (CDMs) and advanced analytical methods to enhance Space Situational Awareness (SSA), ensuring safe and uninterrupted satellite missions by accurately assessing and mitigating collision risks. This approach not only strengthens the EU’s leadership in space safety technology but also incentivizes collaboration, security, and sustainability in space operations. 

🪪 Team

Our team is composed of three highly skilled professionals:

• Luka Zlatečan - Business Lead & System Architect
  Luka is the CTO at Indigo Labs, with extensive experience in designing and implementing complex systems. He leads the business and system architecture aspects of our solution, ensuring alignment between technical innovation and market needs.

1. Jan Jernej Kočica - Full-Stack Developer & Designer
   Jan is a full-stack developer with expertise in simulation and the development of high-frequency systems. Currently pursuing a PhD, he brings advanced technical skills and academic knowledge into our project.

• Janez Lapajne - Remote Sensing & Machine Learning Expert
  Janez specializes in remote sensing and machine learning, bringing advanced skills in data modeling and solution development. As a PhD candidate, he contributes cutting-edge research expertise and innovative approaches to the project.