embeddif.[ai] prevents high downtime costs and increases the efficiency of service personnel

During the use of systems in the industrial environment, sensor data is recorded and processed by embeddif.[ai] on edge devices. Condition monitoring can help maintenance personnel with upcoming maintenance measures. Maintenance processes are initiated at an early stage to avoid downtime and the associated downtime costs.

Beyond the known predictive maintenance functions, embeddif.[ai] is able to support the personnel performing maintenance work by providing targeted guidance through the individual work steps.
In this way, embeddif.[ai] ensures a high quality of the performed maintenance tasks and enables even untrained personnel to perform certain tasks.

Learn more at Fraunhofer IIS

© Fraunhofer IIS

embeddif.[ai] supports multiple tasks:

  • Condition monitoring for early alarms

  • Guidance in maintenance processes

  • Quality control of manual tasks

  • Easy adaptation

  • … and many more

GET IN TOUCH WITH US

LZE GmbH
Frauenweiherstr. 15
91058 Erlangen
Germany

Phone: +49 9131 92894 90
Email: thomas.muehlmann@lze-innovation.de
Web: www.lze-innovation.de