|Name||Lemur-2 150 Djirang (NICSAT2)|
|Units or mass||6U|
|Launcher||Falcon 9 (Transporter-3)|
|Manufacturer||AIVT by Spire|
Capability of on-board computing and processing of machine learning and artificial intelligence across multi-modal data.
Capability of on-board computing and processing of machine learning and artificial intelligence across multi-modal data. Dragonfly Aerospace will provide a high-performance Gecko camera using its proprietary space-proven electronics and ruggedized optics for an easy-to-integrate imaging solution for the satellite.
The Australian National Intelligence Community (NIC) launched the NICSAT program to experiment with commercial satellite technologies, including the on-board application of advanced machine learning capabilities on small satellites, like those manufactured by Spire. In keeping with its predecessor, NICSAT2 will be managed by ONI and focused on the application and utility of miniaturized satellite systems, especially in regard to machine learning. Both programs are unclassified science and technology programs, focused on innovative engineering and research that aim to utilize commercial satellites to improve data collection and analysis.
Spire previously worked on the NICSAT program’s first satellite, Djara, last year. The mission focus of Djara is to conduct experiments with systems that enable the on-orbit collection and analysis of data including commercially available sensors and technologies such as Field Programmable Gate Arrays (FPGAs) and Machine Learning systems on a chip. The satellite went from concept to launch in just six months and to full operation in just nine months. Djara collects and processes data on orbit and then leverages Spire’s cloud infrastructure to downlink, further process, and analyze data.
|Keywords||AIS, ADS-B, Machine Learning AI|