EMO 2025

ECC4P combines sensors, edge computing and AI-based analyses to identify specific recommendations for action from production data and to give companies a clear competitive advantage. The exhibit is specially designed to show automated production processes such as cutting (milling, drilling), grinding and forming. The approach is scalable and can easily be adapted to different machines, sensor systems, data spaces and cloud and server instances. On the booth, Fraunhofer CCIT will demonstrate how ECC4P makes production processes more efficient, reduces reject rates and lowers downstream testing costs. It also allows machine downtimes and maintenance to be planned more effectively and therefore also to be reduced.

The new generation of the smartTOOL for recording sensitive measurement signals forms the basis for the informative and robust monitoring, documentation and automation of machining processes. The combination of innovative sensors and a new antenna design allows for the high-frequency detection of any changes in the condition of the tool or workpiece in parallel with the production process. The patented energy harvesting technology allows the smartTOOL to function independently of a power supply and with no cable.s

smartGRIND (adaptive grinding) is a highly sensitive, co-rotating measuring system that is directly connected to the tool and that measures the structure-borne noise emitted by the tool-workpiece contact with minimal interference. It is contactless and allows for high-frequency data transmission in real time.The system is used for the hard fine machining of gears. The energy and data transmission is contactless and allows for high-frequency data transmission in real time. As a result, even the smallest changes in the process can be reliably recorded and used for adaptive process control.

Wise-Cut uses AI evaluations to predict tool life and workpiece quality as a local data processing solution at the edge. This keeps latency times to a minimum and optimizes data transmission to the cloud. In addition, Wise-Cut accesses the Fraunhofer edge cloud to use a priori physical models for process planning and to create a digital twin.

ALVISTO identifies even the smallest defects or surface damage precisely and efficiently using AI, regardless of the ambient lighting or the size of the component. The system, which is a combination of classic image processing, deep-learning-supported defect detection and scalable hardware, shows how the efficiency of the edge can be combined with the scalability of the cloud in an edge-cloud infrastructure. ALVISTO uses local data processing at the edge to run rapid surface scans with minimal latency times and identify damage and production faults. Complex, compute-intensive tasks, such as AI training, can take place in the cloud. Use cases from the automotive and insurance industries and from production processes in SMEs demonstrate the scalability of the technology.

The edge AI platform functions as a central connection between the cloud and the edge and allows for the automated development of tiny, high-performance AI models with hardware-specific optimization for edge devices, including sensors. This approach provides full data protection and enables existing AI models from the cloud to be used in automated form in small battery-powered and mobile devices.

More informationen

ECC4P technology spotlight

Scheduling meetings and press tour:

Would you like to find out about the Fraunhofer CCIT and/or the edge-cloud continuum at the EMO? You are very welcome to schedule a meeting in advance with Michael Fritz, head of the office of the Fraunhofer CCIT,  and/or experts from the collaborating Fraunhofer Institutes.

Media representatives can also contact Tobias Steinhäußer or the Flutlicht agency (tel: +49 (0)911 474950 | email).