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HIGH PERFORMANCE SaaS
FOR EDGE COMPUTING
pablo.ghiglino@klepsydra.com
www.klepsydra.com
IAC 2019
Inspection drone use case
With Klepsydra:
High resolution camera
Without Klepsydra:
Low resolution camera High CPU Consumption
Low CPU Consumption
Alerion, our
fi
rst client, windmill
inspection drone.
Of
fi
cial provider for one of the
worlds largest wind turbine
manufacturers.
Embedded computing
challenges
Embedded world today
• Increase processing power in embedded
computers
• Better, faster and high quality sensors,
cameras, etc.
• Faster and more reliable communications
(5G, satellite, etc.)
Current challenges
• Error prompt software (data losses)
• Limited functionality
• Delays in delivery
• Suboptimal resource utilisation
• Space mission failures
The parallel data
processing problem
Innovation
High Frequency Trading
• Millions of ticking prices per second
• Thousands of transactions per second.
• Require access to real time data.
• Lost or delayed data might result in millions in
loses.
Critical embedded systems
• Hundreds to thousands sensor event per second
• Hundreds to thousands communication data
events per second
• Lost of delayed data might result in mission
failure (Space), life threatening scenarios (self-
driving cars)
High value applications
Space Mission Satellite and CubeSats
Planetary and Lunar missions
Space Robotics
Rendez-vous
CubeSats for remote sensing
Constellations
Telecom Satellites/CubeSats
Increase software determinism
Increase data processing with the same HW
Reuse & reduce number of cameras
More processed request with the same HW
Increase sensor data throughput
Reduce telecom latency
Increase changes of mission success Increase revenue for the same spacecrafts
Next steps
Klepsydra Community:
https://github.com/orgs/klepsydra-technologies
New collaborations/partnerships/clients
• Looking for collaborations in the space sector:
• CubeSats
• Space robotics
• Planetary missions
• Looking for collaborations with US companies.
Q & A
Thanks
pablo.ghiglino@klepsydra.com
+41786931544
www.klepsydra.com
linkedin.com/company/klepsydra-technologies

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IAC 2019

  • 1. HIGH PERFORMANCE SaaS FOR EDGE COMPUTING pablo.ghiglino@klepsydra.com www.klepsydra.com IAC 2019
  • 2. Inspection drone use case With Klepsydra: High resolution camera Without Klepsydra: Low resolution camera High CPU Consumption Low CPU Consumption Alerion, our fi rst client, windmill inspection drone. Of fi cial provider for one of the worlds largest wind turbine manufacturers.
  • 3. Embedded computing challenges Embedded world today • Increase processing power in embedded computers • Better, faster and high quality sensors, cameras, etc. • Faster and more reliable communications (5G, satellite, etc.) Current challenges • Error prompt software (data losses) • Limited functionality • Delays in delivery • Suboptimal resource utilisation • Space mission failures
  • 5. Innovation High Frequency Trading • Millions of ticking prices per second • Thousands of transactions per second. • Require access to real time data. • Lost or delayed data might result in millions in loses. Critical embedded systems • Hundreds to thousands sensor event per second • Hundreds to thousands communication data events per second • Lost of delayed data might result in mission failure (Space), life threatening scenarios (self- driving cars)
  • 6. High value applications Space Mission Satellite and CubeSats Planetary and Lunar missions Space Robotics Rendez-vous CubeSats for remote sensing Constellations Telecom Satellites/CubeSats Increase software determinism Increase data processing with the same HW Reuse & reduce number of cameras More processed request with the same HW Increase sensor data throughput Reduce telecom latency Increase changes of mission success Increase revenue for the same spacecrafts
  • 7. Next steps Klepsydra Community: https://github.com/orgs/klepsydra-technologies New collaborations/partnerships/clients • Looking for collaborations in the space sector: • CubeSats • Space robotics • Planetary missions • Looking for collaborations with US companies.