EcoOrbit: Sustainable Satellite Solutions

Satellites generate huge amounts of data every day, and traditional methods of data analysis are struggling to keep up. By compressing and deploying AI models on satellites, data processing could be performed on board. This would drastically reduce the latency associated with downloading and analysing images at ground stations. To overcome this challenge, NinjaLABO introduces a new technology: TinyML as-a-Service (TinyMLaaS). TinyMLaaS integrates state-of-the-art edge AI solutions into satellite systems to process data directly on board, reducing the latency of communication back to the ground station and improving real-time decision making.

Until now, satellite manufacturers have mostly opted to develop the systems for such edge AI solutions themselves. However, this approach often results in unnecessarily slow development processes. NinjaLABO specialises in the core components of Edge AI frameworks, enabling satellite manufacturers to focus on improving their business value to customers, significantly reduce R&D costs and achieve faster time-to-market.

Benefits:

• Real-time performance: local execution of inference without cloud computing delays for immediate data analysis
• Low power consumption: optimised for low-power devices such as microcontrollers, ideal for battery-powered or low-power systems
• Improved privacy: sensitive information is not sent to centralised servers
• Improved cost efficiency: minimises the need for expensive, power-hungry hardware for lower operating costs
• Expanded applications: enables intelligent functions in devices that were previously unsuitable due to size, cost or power constraints