EMO 2025

With ECC4P, you can combine sensor technology, edge computing, and AI-supported analytics into a robust system that turns production data into actionable insights – giving you a real competitive edge. Designed for automated manufacturing processes such as machining (milling, drilling), cylindrical grinding, and forming, this scalable solution adapts easily to your machines, sensor systems, data spaces, and cloud or server instances. At the stand, the Fraunhofer CCIT will show you how ECC4P boosts production efficiency, cuts scrap rates, reduces downstream inspection costs, and helps plan machine downtime and maintenance more effectively.

Explore the next-generation intelligent toolholder,  smartTOOL, which captures sensitive measurement signals to help you monitor, document, and automate machining processes reliably. Combining advanced sensor technology with innovative antenna design, it detects changes in tool and workpiece conditions in parallel and at high frequency. Its patented energy-harvesting technology allows wireless operation without external power sources.

Dive into smartGRIND (Adaptive Cylindrical Grinding), a highly sensitive, co-rotating measurement system integrated with your tool. It captures acoustic emissions from tool-workpiece contact and supports contactless, high-frequency, real-time data transmission – ideal for precision gear finishing. It contactless energy and data transfer let you detect even minor process changes reliably and adjust your processes adaptively.

Meet smartNOTCH, the intelligent insert for forming machines. Install it directly at the tool interface or in standardised T-slots on the press table and ram without disrupting production. It continuously measures surface loads during forming, helping detect tool wear, workpiece deviations, and operator errors such as misalignment or incorrect loading – allowing you to spot issues early and avoid costly downtime.

With Wise-Cut, AI-driven analysis predicts tool life and workpiece quality through local edge data processing, keeping latency low and optimises cloud data transfer. Using data from retrofit vibration sensors in the »PredictiveBoX«, it taps into the »Fraunhofer Edge Cloud« to apply physics-based models for process planning and create a digital twin of your operations.

Discover ALVISTO, which uses AI to detect even the smallest defects or surface damage with precision and efficiency, regardless of lighting or component size. Combining classical image processing, deep-learning-based defect detection, and scalable hardware, it demonstrates how edge-cloud infrastructure merges edge efficiency with cloud scalability. Perform rapid surface scans at the edge with minimal latency, while the cloud handles complex tasks like AI training. Use cases from the automotive industry, such as at MAN, as well as from the insurance industry and manufacturing in SMEs demonstrate the scalability of the technology.

The »Edge-AI Platform« connects the cloud and the edge, enabling automatic development of compact, high-performance AI models optimised for edge devices, down to the sensor level. This privacy-preserving approach allows the seamless deployment of existing cloud-based AI models on small, battery-powered, mobile devices.

Find Out More

ECC4P Technology Page

Book an Appointment or Join a Press Tour:

Curious about the Fraunhofer CCIT and the »Edge Cloud Continuum« at EMO? Reach out to book an appointment with Michael Fritz, Head of the Fraunhofer CCIT Office, or experts from participating Fraunhofer Institutes.  

If you’re a media representative, you can also contact Tobias Steinhäußer or the Flutlicht agency (tel: +49 (0)911 474950 | email).