Imagine a factory that thinks for itself to save energy and reduce waste, while making the workplace easier for everyone, including people with disabilities. It uses smart sensors and AI to act like a digital brain coordinating the entire production line. This helps companies move their manufacturing back to Europe by making it cheaper and greener to run.
European manufacturers face vulnerable supply chains and high operational costs. There is a critical need to move production back to Europe while remaining globally competitive through sustainability and efficiency.
A suite of AI-enabled hardware components, an AI toolbox for industrial designers, and a functional prototype wristband for gesture-based voting in factories.
If you are a wafer fab dealing with high carbon footprints in logistics — this project developed AI-enabled hardware and software that can reduce the environmental footprint for wafer transport, handling, and storage by over 20%.
If you are an electronics manufacturer dealing with slow product launches — this project developed AI tools and methods that can lead to a 20% faster time to market.
If you are a plant manager dealing with excessive equipment downtime and monitoring effort — this project developed AI-supported architectures that result in a 50% reduction of time for monitoring industrial equipment.
Based on available project data, the implementation of these AI innovations will result in lower manufacturing costs and increased product quality.
Yes, the project validates its findings through 20 use cases across 9 industrial domains to ensure high TRLs and scalability.
Based on available project data, the project focuses on professional exploitation and standardization, but specific licensing terms are not provided.
It uses a System-of-Systems (SoS) architecture and micro-services, utilizing semantic web ontologies for data integration.
The project runs from May 2023 to September 2026, with deliverables including functional prototypes already in development.
The project is heavily industry-driven, with 57% of the 54 partners coming from the commercial sector (31 companies), including 15 SMEs. Led by Infineon Technologies AG, the consortium spans 12 countries and balances deep academic research (14 universities, 9 research centers) with practical application, ensuring that the AI tools are grounded in real-world manufacturing needs.
Contact Infineon Technologies AG regarding AI-enabled hardware for sustainable production.
Contact us to connect with the AIMS5.0 consortium for pilot integration.
