Artificial Intelligence for Digitizing Industry

Project: EU project

Project Details


Europe has a lack of intellectual property in integrating artificial intelligence (AI) into digital applications. This is critical since the automatization reached saturated levels and AI in digitisation is an accepted approach for the upcoming transformation of the European industry. The potential of AI in economy and society is by far not enough exploited. Potential users of AI are not sufficiently supported to facilitate the integration of AI into their applications. Enabling of performance, industry and humanity by AI for digitising industry is the key to push the AI revolution in Europe and step into the digital age. Existing services providing state of the art machine learning (ML) and artificial intelligence solutions are currently available in the cloud. In this project, we aim to transfer machine learning and AI from the cloud to the edge in manufacturing, mobility and robotics. To achieve these targets we connect factories, processes, and devices within digitised industry by utilizing ML and AI for human machine collaboration, change detection, and detection of abnormalities. Hence, we gain knowledge by using existing data and arrange them into a processable representation or collect new data. We use this knowledge to change the semantics and the logical layer with a distributed system intelligence for e.g. quality control, production optimization. In AI4DI, we define a 7-key-target-approach to evaluate the relevance of AI methods within digitised industry. Each key target represents a field of activity and the corresponding target at the same time, dividing systems into heterogenous and homogenous systems, and evolving a common AI method understanding for these systems as well as for human machine collaboration. Furthermore, we investigate, develop and apply AI tools for change detection and distributed system intelligence, and develop hardware and software modules as internet of things (IoT) devices for sensing, actuating, and connectivity processing.

Layman's description

Development of the artificial intelligence for automated vehicle environment perception and industrial machine vision systems

Key findings

Using artificial intelligence for vehicle environment perception
Effective start/end date1/05/1930/11/22

Collaborative partners

  • VTT Technical Research Centre of Finland
  • Teraglobus UAB (Project partner)
  • SCM Group S.p.A. (Project partner)
  • Murata Electronics Oy (Project partner)
  • Graz University of Technology (Project partner)
  • Industrial Technology Research Institute (ITRI) (Project partner)
  • Grenoble Institute of Technology (Project partner)
  • Infineon Technologies Austria AG (Project partner)
  • Vranken-Pommery Monopole SA (Project partner)
  • Information Technology for Market Leadership Pc (ITML) (Project partner)
  • Denofa AS (Project partner)
  • Technext (Project partner)
  • Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e. V. (Project partner)
  • Technical University of Munich (TUM) (Project partner)
  • Nxtech AS (Project partner)
  • Commissariat a l'Energie Atomique et aux Energies Alternatives (CEA) (Project partner)
  • Interuniversitair Micro-Electronica Centrum (IMEC) (Project partner)
  • Institut mikroelektronických aplikací s.r.o. (Project partner)
  • Symate GmbH (Project partner)
  • Infineon Technologies AG (Project partner) (lead)
  • Université de Reims Champagne-Ardenne (Project partner)
  • INTRASOFT International N.V. (Project partner)
  • DPControl S.r.l. (Project partner)
  • Vaisto Solutions Oy (Project partner)
  • Brno University of Technology (Project partner)
  • SINTEF AS (Project partner)
  • Ostbayerische Technische Hochschule Amberg-Weiden (Project partner)
  • Virtual Vehicle Research Center (Project partner)
  • Audi AG (Project partner)
  • Grenoble Alpes University (Project partner)
  • Cognition Factory GmbH (Project partner)
  • TTTech Industrial Automation AG (Project partner)
  • Consorzio Studi e Ricerche s.r.l. (CSR) (Project partner)
  • KAI Kompetenzzentrum Automobil- u. Industrieelektronik GmbH (Project partner)
  • AVL List GmbH (Project partner)
  • Polytechnic University of Milan (Project partner)
  • TTTech Computertechnik AG (Project partner)
  • University of Bologna (Project partner)
  • Consorzio Nazionale Interuniversitario per la Nanoelettronica (IU.NET) (Project partner)
  • Institute of Electronics and Computer Science (EDI) (Project partner)
  • STMicroelectronics (Grenoble 2) SAS (Project partner)
  • Vilnius Gediminas Technical University (Project partner)
  • STMicroelectronics S.r.l. (Project partner)
  • iGlobalTracking AS (Project partner)
  • French National Center for Scientific Research (CNRS) (Project partner)
  • Intellectual Labs AS (Project partner)
  • Know-Center (Project partner)
  • Technische Universität Dresden (TUD) (Project partner)

Funding category

  • EU-H2020


  • H2020-ECSEL-2018-2-RIA-two-stage-1
  • Electronic components