On-Board AI Processing for Micro and Mini Satellites
Leopard is a high-performance Data Processing Unit (DPU) built for on-board data processing in micro and mini satellite missions. Designed in a compact PC/104 form factor and compatible with CubeSats (<1U), Leopard brings the power of edge AI directly into space. Instead of downlinking vast volumes of raw data, Leopard enables satellites to process and interpret data in orbit – delivering only the most valuable insights to Earth. This approach dramatically reduces bandwidth usage and mission costs while accelerating response times.
Key features include:
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High-Performance Processing – Capable of up to 3 TOPS (Tera Operations Per Second), enabling real-time, low-latency analysis of complex datasets.
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AI-Driven Insights – Supports deep learning models onboard, allowing for intelligent decision-making and automated data interpretation directly in orbit.
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Compact & Flexible Design – Space-optimized, CubeSat-compatible (<1U), and easily integrated with various micro and mini satellite platforms.
Applications include:
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Earth Observation – Real-time image segmentation, classification, and object detection.
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Space Situational Awareness (SSA) – Onboard analysis to support collision avoidance, debris tracking, and in-orbit diagnostics.
Part of the Smart Mission Ecosystem – comprehensive solutions, including a fully integrated package of hardware, software, and in-house developed algorithms for onboard satellite data processing.
Parameter | Value |
---|---|
Peak Power Consumption | 40 W |
Typical Power Consumption | 7.5 W |
Operating System | Linux (64-bit) |
Supply Voltage | 6.5 to 14 V |
SoC | Zynq UltraScale+ |
Memory | 4 to 16 GiB DDR4 - ECC protected |
Memory | 4 to 16 GiB SLC flash-based file system storage |
Memory | up to 2x256 GiB flash based data storage |
Power Consumption | 7.5 to 40 W |
Dimensions | <1U |
-
High-Performance Processing – Capable of up to 3 TOPS (Tera Operations Per Second), enabling real-time, low-latency analysis of complex datasets.
-
AI-Driven Insights – Supports deep learning models onboard, allowing for intelligent decision-making and automated data interpretation directly in orbit.
-
Compact & Flexible Design – Space-optimized, CubeSat-compatible (<1U), and easily integrated with various micro and mini satellite platforms.
-
Earth Observation – Real-time image segmentation, classification, and object detection.
-
Space Situational Awareness (SSA) – Onboard analysis to support collision avoidance, debris tracking, and in-orbit diagnostics.
On-Board AI Processing for Micro and Mini Satellites
Leopard is a high-performance Data Processing Unit (DPU) built for on-board data processing in micro and mini satellite missions. Designed in a compact PC/104 form factor and compatible with CubeSats (<1U), Leopard brings the power of edge AI directly into space. Instead of downlinking vast volumes of raw data, Leopard enables satellites to process and interpret data in orbit – delivering only the most valuable insights to Earth. This approach dramatically reduces bandwidth usage and mission costs while accelerating response times.
Key features include:
Applications include:
Part of the Smart Mission Ecosystem – comprehensive solutions, including a fully integrated package of hardware, software, and in-house developed algorithms for onboard satellite data processing.