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The video presents aerOS Pilot 1, Scenario 2 led by Innovalia Metrology, focusing on zero-defect manufacturing in the automotive sector. It highlights how edge–cloud solutions, real-time analytics, and harmonized data flows enhance metrology processes, improving reliability and reducing inefficiencies. The scenario demonstrates practical steps toward achieving smarter, data-driven automotive production. Find more information here: https://www.youtube.com/watch?v=nVH21MHZ6T0&t=1s
Scenario 1 focuses on green manufacturing with a zero net-energy approach and CO₂ footprint monitoring across the entire product life cycle through a digital thread and sustainability data models. It aligns with the Digital Product Passport (DPP) to drive a circular economy, enabling de-manufacturing, reverse logistics optimisation, and sustainable product design. The scenario will test Gaia-X and aerOS services at PL3 (CH) to deploy edge intelligence and analytics that optimise the environmental impact and footprint of modular drone production lines. Find the video online here: https://www.youtube.com/watch?v=_FQR2eO5joY
Discover how the aerOS project is shaping the next generation of distributed, AI-driven operating systems for edge, cloud, and IoT environments. This video showcases real-world pilots demonstrating seamless interoperability, energy efficiency, and data sovereignty across Europe.
From smart manufacturing to connected cities, aerOS Pilot 2 brings innovation to life — connecting devices, data, and people through open, scalable technology.
This video highlights the aerOS platform in action, enabling interoperability, scalability, and AI-driven orchestration across IoT and edge environments. Find it online here: https://www.youtube.com/watch?v=H6jdSwsyL1U
This pilot scenario explores autonomous guided vehicles (AGVs) operating without breakdowns in complex logistics settings, showcasing the integration of the aerOS meta operating system across IoT, edge and cloud layers. Find out more here: https://www.youtube.com/watch?v=faApgjP2mFg
The HPCP-F use case aims to integrate, test, and validate a High-Performance Computing Platform for connected and cooperative agricultural machinery, enhancing M2M connectivity, real-time low-latency networking, and federated AI at the edge for improved autonomy, data ownership, and interoperability. Leveraging John Deere’s infrastructure in Germany, precision farming technologies, and diverse IoT devices, it supports sustainable agriculture through energy optimisation and noise reduction. By enabling edge intelligence in limited-connectivity environments, it advances digital transformation, optimising machine coordination and ensuring data privacy, efficiency, and self-dependability in modern farming. Find more here: https://www.youtube.com/watch?v=MzsyYhnWSOc
Autonomous, scalablE, tRustworthy, intelligent European meta Operating System for the IoT edge-cloud continuum
Call: WORLD LEADING DATA AND COMPUTING TECHNOLOGIES 2021
Topic: HE-CL4-2021-DATA-01-05
Type of action: RIA
Duration: 36 months
Start date: 1 September 2022
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