AIMS5.0, a European collaborative innovation project, aims to strengthen Europe's digital sovereignty in sustainable production by applying AI-based hardware and software components and systems to further increase efficiency across the entire industrial value chain. The Hungarian consortium will focus on AI tools, methods and algorithms for sustainable industrial processes and on integrating their added value into the Eclipse Arrowhead framework supporting systems-of-systems architectures.

Industrial digitalisation, increasing data volume and information complexity have led industry players to identify a number of technological barriers and communication problems in their heterogeneous production networks in the recent past. The project will develop management methods that support real-time, seamless connectivity and information transfer. The project's pillars are the services provided by the Eclipse Arrowhead framework, industry stakeholders and their needs, as well as new technology trends and machine learning methods.

AITIA has developed new techniques for improving the accuracy of indoor positioning systems. This enables us to reduce the number of necessary equipment, thus lowering costs and complexity. This methodology is the base of our IoTrace product and the related services.

AITIA has been an active stakeholder of the Productive4.0 European innovation project, which offers solutions to various emerging problems of Industry 4.0. The main tasks of AITIA in the consortia was developing and maintaining the Arrowhead framework, besides participating in the demonstrations of industrial use-cases.

We have actively participated in the European ECSEL project "MANTIS". The main concept here is to provide a proactive maintenance service platform architecture for Cyber Physical Systems that allows estimating future performance, predicting and preventing imminent failures and scheduling steps for proactive maintenance. These systems form part of a larger network of heterogeneous and collaborative systems connected via robust communication mechanisms that are able to operate in challenging environments. Sophisticated distributed sensing and decision making functions are performed at different levels in a collaborative way, ranging from local nodes to locally optimise performance, bandwidth and maintenance; to cloud-based platforms that integrate information from diverse systems and execute distributed processing and analytics algorithms for global decision making. This concept enables ERP, CRM and CMMS integration with ease.