KaleidEO Space Systems, a Bengaluru-based startup, has achieved a significant milestone by becoming the first Indian firm to demonstrate edge computing in space. The company used deep learning algorithms to analyze imagery captured by Satellogic, a satellite constellation and data provider based in Montevideo, Uruguay. The hardware and implementation support for running the algorithms were provided by Spiral Blue, a startup from Sydney, Australia.
This breakthrough achievement allows KaleidEO to develop satellites that not only capture images but also have the ability to analyze them independently. As a subsidiary of SatSure Analytics, KaleidEO plans to launch four satellites in 2025 that will be equipped with edge computing capabilities to enhance image capturing, data analysis, and transfer speed.
Next month, the company will conduct aerial testing of its high-resolution optical and multi-spectral payload. With this successful demonstration, KaleidEO will begin the manufacturing of the satellites and payloads. This accomplishment will also benefit SatSure in addressing national security needs and real-time disaster response.
Rashmit Singh Sukhmani, Co-founder and CTO of SatSure, stated, “This capability will enable us to address national security needs, real-time disaster response by governments, and revolutionize the way we collect, process, analyze, and downlink imagery and insights from satellite data for the benefit of all.”
KaleidEO has developed edge algorithms for cloud detection, road network and building footprint identification, water-body detection, and image template matching for change detection. Their pioneering use of edge computing in space opens up new possibilities for the Indian space industry by leveraging the potential of advanced data analytics and real-time insights for various applications.