HORIZON-CL4-2024-DATA-01-03 Piloting emerging Smart IoT Platforms and decentralized intelligence (IA)

Expertise in development of digital enablers for the digital transformation of the industry: computer vision, artificial intelligence (cloud or edge-based), photonics, 3D digitization, data acquisition and control, smart sensors and robotics.

Methodology for the generation of digital models of manufacturing processes.

Development of data acquisition systems for the supervision of processes, and new sensors addressed to IoT.

Data analytics and control, through the use of machine learning techniques, to give support in decision making processes.

Data exchange services.

EU project CAPRI:

• The CAP Reference Architecture aims to cover several industrial scenarios, supported by specific capabilities spanning from the edge to the cloud processing and passing through the Big Data analytics. It is able to support the analysis of streaming and batch data acquired from heterogeneous external sources with the support of machine learning technologies. A typical scenario in the IoT and industrial field is to react to events in real time based on the knowledge of past events, an essential information for predicting future behaviour, for example in order to identify any anomalies. In that sense, the platform integrates cognitive computing services in order to learn from experience and derive insights to unlock the value of big data.

• The CAP Reference Architecture allows the implementation on both cloud and edge. The edge implementation smoothly integrates with the  cloud version, to enable data collection, storing, processing and presentation directly from the plant. Most of the short-term processing, including some data analytics, artificial intelligence and cognitive tasks could be managed at the edge, while cloud resources can be devoted to non-mission critical– massive processing of data.