orbital_OLIVER
The future of autonomous operations in space
SATELLITE EDGE AUTONOMY to bring your mission operations to the next level
Unleash the full power of your satellite platform
The miniaturization of satellite platforms is democratizing access to the space race. This, however, is just one side of the story. While our space assets are becoming more advanced each day, the ground infrastructure that handles them is lagging behind. At AIKO, we firmly believe increasing the level of spacecraft autonomy is the sole way ahead in exploiting the full potential of the new generation of satellites.
Whether you plan to send just a single cubesat or a whole fleet, orbital_OLIVER will be the outpost of your operations team directly onboard your satellite.
A day in the life of orbital_OLIVER
Equipped with state-of-the-art AI, orbital_OLIVER allows the spacecraft to process data, take decisions in real-time, and -if needed- replan your mission to deliver the most relevant data products to ground.
Consider an Earth Observation cubesat with the specific goal of monitoring maritime traffic. With orbital_OLIVER onboard, the satellite would be able to decide its course of action depending on, for example, the number and kind of ships observed in a given area. Tipically this would require at least one contact with the ground segment -hence hours- to provide mission control with the latest data and set up the new mission schedule accordingly. With OLIVER onboard, it would just be a matter of minutes, gaining a significant edge on the timely delivery of actionable data to the end users.
Have a look at ho orbital_OLIVER can improve image acquisition in Earth Observation missions when it is coupled with cloudy_CHARLES, our software solution for onboard cloud detection: Demo link. cloudy_CHARLES page.
Taking extra care of your spacecraft
orbital_OLIVER detects and prevents potential contingencies before they affect satellite operability. To do that, it continuously monitors telemetry and housekeeping data streams from the platform, by exploiting the state-of-the-art of Deep Learning (DL) technologies for time-series analysis.
This provides enhanced Fault Detection Isolation and Recovery (FDIR) functionalities, as well as extends the operational lifetime of the spacecraft.
The use of DL enables a double action on the platform housekeeping. On one end, it provides health diagnostics, identifying the root causes behind issues; on the other end, it also acts in a prognostic way, allowing to anticipate accidents and contingencies by identifying potentially dangerous patterns hidden in the platform's telemetry.
Heritage
The development of orbital_OLIVER started in 2017, under the name of MiRAGE. In May 2022 the company conducted a rebranding campaign, which changed the product’s name to orbital_OLIVER.
In 2018, this product has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N.816442 (link), which allowed to validate the product up to TRL6.
Since 2021, the development, in-orbit validation and commercialization of orbital_OLIVER has been supported by ESA's InCubed+ program ([link])(https://incubed.esa.int/portfolio/orbital_oliver/). Thanks to InCubed+, in 2021 AIKO launched its first Early Adopters Program, which will bring orbital_OLIVER to space onboard four different missions across 2022 and 2023.
In 2023, orbital_OLIVER is also scheduled to fly on D-Orbit's ION carrier as part of the first AIX mission (link).
Hardware Specifications
- OPERATIVE SYSTEM - Linux-Based OSs
- CPU COMPATIBILITY - ARM 32bit/64bit Cortex-A series, X86_64 processors
- HW ACCELERATORS - GPUs, ASICs, FPGAs
- AI INFERENCE LIBRARIES- TensorFlow 2.6; LSTM/RNN Architectures
- RAM - 100MB
- STORAGE - 200MB