FeatherBox is a compact Data Processing Unit for artificial intelligence applications on-orbit. It's small size (0.5U) makes it compatible with most satellite platforms. Rather than sending large sets of raw data down to ground stations, FeatherBox can process sensor data from multiple sources and only send down the relevant information. Processing data on orbit reduces downlink costs and improves response times to observable events.
Integrated into FeatherBox is a machine learning system capable of performing 4 trillion operations per second (4 TOPS). If more processing is required, the system can scale by pipelining models across multiple processors. Precision thermal management is handled within the enclosure, meaning there is little to no need for additional external thermal control systems.
Combined with FeatherWare, it provides a complete artificial intelligence payload for on-orbit image processing, enabling autonomous decision making in space.
Unlock the potential of AI in Space
Combining Cutting-Edge Technology with Reliability
FeatherBox comprises a commercial off the shelf computing module integrated with Exo-Space's rad-tolerant motherboard. The device is a fully-integrated Linux system, designed to accelerate machine learning algorithms. FeatherBox leverages the fastest, most power efficient computer products on the market while also maintaining the reliability needed for space applications.
Protection against the harsh environment of space
Structural shielding to minimize total ionizing dose and single event effects
Multiple software and hardware redundancies and mitigations
Voltage and current monitoring with automatic power cycle capabilities
APPLICATIONS
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Earth Observation Image Processing
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Autonomous Satellite Operations
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Cloud Computing
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Space Situational Awareness
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Data Storage, Compression, and Encryption
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Synthetic Aperture Radar
Technical Specifications
Interfaces
Connector
Micro-D
Ethernet
Data rates up to 1000 Mbps
USB 3.1 Gen. 1
Data rates up to 5 Gbps
2x UART RS-422
Data rates up to 5 Mbps
2x SPI
Data rates up to 52 Mbps
2x I2C
Data rates up to 400 Kbps
8x GPIO
3.3 V
Non-Standard
Additional interfaces/protocols upon request: SpaceWire, CAN, etc
Properties
Mass
1.4 kg
Size
96 mm x 96 mm x 50 mm
Power Supply
5V
Power Consumption
Operating Temperature
3W idle, 7.5 W typical, 22 W peak (tens of microseconds)
-25 °C to +85 °C
Storage Temperature
-40 °C to +85 °C
Software
Operating System
Linux based
AI/ML Model Type
TensorFlow Lite
Software Package
Basic software package included
Performance
CPU
Quad Cortex-A53
GPU
2D/3D Vivante GC7000 Lite GPU and VPU
ML Accelerator
Coprocessor: 4 TOPS
RAM
4GB LPDDR4 SDRAM
Storage
40GB SLC NAND Flash (EDAC)
16GB eMMC
CORE ADVANTAGES
Compact and Powerful
Powerful machine vision processor and AI accelerator inside a compact 0.5U enclosure.
Custom structural shielding, and error detection and correction codes (EDAC) to protect against the effects of space radiation.
Mission Safety
Simple mechanical and thermal interfaces for easy plug-and-play integration.
Plug and Play