Daedalus is conceived to enable the full exploitation of the CPS concept of virtualized intelligence, through the adoption of a completely distributed automation platform based on IEC-61499 standard, fostering the creation of a Digital Ecosystem that could go beyond the current...

The use of microelectronics and sensors (such as RADAR and LiDAR sensors) in autonomous driving and self-driving cars is essential. As the market is expected to grow, the further miniaturisation and safety of such sensor packages is necessary. What

The new emerging generation of microsystems represents a major opportunity for a substantial EU economic growth, in an industry counting already more than 200.000 workers and a turnover in 2019 of

The AVANGARD project addresses the integration of three novel processing units into an existing Microfactory test bed conceived to produce urban electric vehicles. The units are state of-the-art multipurpose and multifunctional demonstrators on their own, specifically: Robotized...

Mass customisation is no longer a pipe dream. The digitalisation of industry is transforming the existing manufacturing ecosystems and forever changing the production line. The EU-funded DIMOFAC project will develop solutions for a permanent production transformation,...

The amount of industrial data coming from smart small-size and cost-effective interconnected factory devices is huge. The challenge now is how to guarantee data reliability with functions grouped into five basic capabilities around the data cycle: sensing, communication,...

DAT4.ZERO is a Digitally-enhanced Quality Management System (DQM) that gathers and organizes data from a Distributed Multi-sensor Network, which, when combined with a DQM Toolkit and Modeling and Simulation Layer, and further integrated with existing Cyber-Physical Systems (CPS),...

The main objective of InterQ project is to measure, predict and control the quality of the manufactured products, manufacturing processes and gathered data to assure Zero-Defect-Manufacturing by means of AI-driven tools powered with meaningful and reliable data.

The starting point for OPTIMAI is the smart instrumentation of production with AI-enabled sensors for quality inspection and monitoring, integrated on a secure middleware layer. To ensure data integrity and traceability, OPTIMAI foresees distributed ledger technology combined...

DIH4CPS will create an embracing, interdisciplinary network of DIHs and solution providers, focussed on cyber-physical and embedded systems, interweaving knowledge and technologies from different domains, and connecting regional clusters with the pan-European expert pool of DIHs.