Products with mechanical components are prone to wear, exterior influences, or errors in components or during assembly.
What's our solution?
By using data from various sensors (microphones, accelerometers, e.g.) and latest Machine Learning algorithms even the smallest deviations in the operating state of a component can be detected. Continuously, periodically or just during production of your products - it's up to you!
By condition based monitoring and predictive maintenance you are able to:
Optimize maintenance intervals
Support your QA team with new tools
Gain a fast and easy way for fault detection and troubleshooting
Analysis and Consultation
Where can sensors be placed? What kind of data is required? Which approach is the most cost-effective solution?
Support for Data Acquisition
What data is required for the training of the specialized models for recognition?
Design and development of a model
We develop, train and test the machine learning models to fit the task
Adjustments of the recognition models to the resources available.