SKAISEN is an onboard cloud detection solution designed for Earth Observation missions and a wide range of optical sensors.
SKAISEN can save costs associated with data transfer while empowering mission autonomy and supporting its purpose for space missions.
Powered by AI algorithms, SKAISEN detects pixels polluted by clouds directly onboard the spacecraft. SKAISEN offers multiple benefits, such as cost reduction by avoiding the download of unnecessary pixels, saving communication bandwidth for more valuable data, and faster access to critical data through prioritization.
SKAISIEN is currently compatible with any Simera Sense Camera and supports deployment to hardware units with an ARM CPU and FPGA. The full product will be demonstrated on the upcoming TROLL mission in Q4 2024, incorporating a hyperspectral camera and DPU payload provided by Zaitra. Additionally, there are scheduled missions for 2024 utilizing SKAISEN technology onboard.
SKAISEN is now available in three variants, giving you the choice of a single component up to a comprehensive full mission on-board data processing solution:
- SKAISEN Edge:
- Category: cloudiness prediction
- Performance: >90% accuracy
- Performance: >1FPS full resolution xScape100 image
- Variant: FPGA IP Core
- Interface: AXI DMA
- Variant: CPU optimized binary
- Interface: Protobuf
- SKAISEN OS:
- Operating system: Embedded Linux
- Supported Platform: Xilinx Zynq 7000
- Supported Platform: Xilinx Zynq UltraScale+
- Protocols: CSP, CFDP, Rest API
- Included: Robust boot (redundant FSBL, U-boot, Linux kernel and Root FS)
- Included: FPGA IP core for SimeraSense data readout
- SKAISEN Payload
- Type: Data Processing Unit (DPU)
- Form Factor: PC104
- Interfaces: CAN, SPI, I2C, RSxxx, LVDS, Ethernet, USB
- Protocols: CSP, CFDP, Rest API
- Power consumption: ~10W (UltraScale+)
- Power consumption: ~2.5W (7000)
- Mass: <200g
To ensure clear pricing, Zaitra has designed three types of licenses that are suitable for:
- Single EO mission
- Constellation
- Subscription-based System as a Service
