Sounce is a modular system that can be used flexibly and according to the use case.
If there are no sensors available at the test bench, the structure-borne sound sensors we use can be installed in a minimally invasive way to test components for functionality and loudness or acoustic behaviour.
From our AI database, suitable AI models can be automatically selected in near real time for quality control of the respective test procedure and continuously retrained.
All test procedures are fully documented, visualised and can be analysed remotely. Any anomalies that occur are detected 24 hours a day and can be traced.
By answering a few questions, you will receive an initial assessment of how much added value our solution can create for you in two minutes.
Advice on selecting the right solution method, support with operations know-how for series application - initial analysis of existing data.
At the beginning of our projects, we provide non-binding information on the possible use of Sounce on your test benches. We support you in deriving correlations from your existing data in order to draw conclusions about damage or defects.
Do you have in-house AI expertise and are you able to develop, train and adapt models to your specific use cases?
Sounce offers you the opportunity to turn your AI models into a functional software-as-a-service solution that can be quickly and easily integrated into your processes.
In addition, you can benefit from our AI application know-how and increase the accuracy of your AI models in the application on the test bench.
You already have existing test processes with fixed limits? Sounce offers you the possibility to extend these fixed limits with automatically self-learning limits.
From model development to model training with your data to application and monitoring, Sounce covers all functions for use in production.