If you are a satellite fleet operator dealing with the risk of asset loss due to space debris — this project developed a catalogue of over 100,000 objects smaller than 10 cm that provides precise collision predictions to protect your hardware.
High-Precision Space Debris Tracking and Collision Avoidance Services
Imagine the space around Earth is like a busy highway filled with invisible pieces of trash. This project built a network of smart telescopes that act like high-definition traffic cameras to spot tiny debris. By mapping these objects, it helps satellite owners steer their equipment away from crashes.
What needed solving
Satellite operators rely on limited public data to avoid collisions, leaving them blind to thousands of small debris pieces. This creates a high risk of asset loss and disrupts orbital activities.
What was built
A network of modular optical telescope stations (MTOS) and a software suite featuring orbit determination algorithms and client APIs.
Who needs this
Who can put this to work
If you are a New Space player dealing with high-risk orbital deployments — this project developed an independent tracking service that monitors objects down to 300km altitude to ensure your satellites survive their mission.
If you are a space agency dealing with a reliance on single-source US Air Force data — this project developed a proprietary telescope network and software to provide an independent alternative for orbital cartography.
Quick answers
What is the cost or pricing model for these services?
Based on available project data, specific pricing is not mentioned, but the project developed APIs for clients to connect to the service.
Can this system scale to a global level?
Yes, the project utilizes Multi-Telescope Observation Stations (MTOS) designed to be positioned around the world in specific locations for efficient sky coverage.
What intellectual property or licensing is involved?
The offering is based on a patented architecture and proprietary satellite collision prediction algorithms.
How does this integrate with existing satellite operations?
The project developed software modules and APIs that allow users to connect their constraints and receive collision anticipation services.
What is the timeline for deployment?
The project period ran from 2022-02-01 to 2024-01-31, with software modules and APIs completed in the first reporting period.
Who built it
The project is led by a single French SME, Aldoria, which represents 100% of the industry ratio. This lean structure suggests a highly focused commercial drive, as the company is directly developing both the hardware (telescopes) and software (APIs) to disrupt a market currently dominated by the US Air Force.
Contact Aldoria (France) regarding their MTOS telescope network and collision prediction APIs.
Talk to the team behind this work.
Contact us to find similar space surveillance technologies for orbital safety.