November 04, 2020 · 1 min read
AiSight is participating in €235K I4KMU project, by partnering with Fraunhofer IPK and other institutions and startups.
Berlin, Germany - AiSight, a Berlin-based tech startup in the field of Industrial Internet of Things, announced today that it will partner with the renowned Fraunhofer Institute for Production Systems and Design Technology IPK on a 1-year research project set in the context of the I4KMU (Industry 4.0 testbeds – Mobilization of SMEs for Industry 4.0).
Promoted by the German Federal Ministry of Education and Research (BMBF), this funding measure aims at detecting Industry 4.0 project ideas and facilitating the collaboration between SMEs and Industry 4.0 testbeds. Among the partners of the funding measure is also the German Aerospace Center (DLR).
This strategic partnership will bring together impressive skills of innovation management, product development and research. The research project will aim at discovering the applicability of the Machine Diagnostic service offered by AiSight and its innovative product, Aion, to Computer Numerical Control (CNC) machines.
“Utilizing the AiSight solution to monitor CNC machines and tools has the potential to tremendously improve their operations and reduce costs by easily predicting quality defects and machine failures and extending tool life, which is unheard of for such a complex process.” says Matthias Auf der Mauer, Founder & CEO of AiSight.
Monitoring the conditions of CNC machines, as well as their tools and processes, would mean being able to better perform maintenance processes and predict breakdowns of machine parts. Observing the status of the tools and processes would also reduce waste and positively impact the quality of the final parts, which is very important in such a rapidly expanding market.
To learn more about the Fraunhofer IPK, please visit: https://www.ipk.fraunhofer.de/
AiSight is contributing to the digital transformation of the manufacturing industry with a plug & play, vibration-based sensor kit that leverages AI to monitor the condition of a machine in real-time, optimize its parameters, and predict malfunctions.
To learn more about AiSight, please visit: http://aisight.de/