Increase quality and reduce costs with AI-based acoustic testing

Designed for production and development processes, SOUNCE enables AI-based noise detection. With SOUNCE, components sound the way they should: nice.

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Enables efficient component development & cost-reducing quality testing

  • Objective noise evaluation
  • 24/7 monitoring even in single shift operation
  • Remote test bench control
  • Seamless documentation of detected sounds
  • Flexible software as a service solution
Objektive Geräuschbewertung
24/7 Überwachung selbst bei Einschichtbetrieb
Remote Prüfstandskontrolle
Lückenlose Dokumentation von erkannten Geräuschen
Flexible Software as a Service-Lösung

Get a first estimation of your cost potentials

By answering a few questions, you will receive an initial assessment of how much added value our solution can create for you. It'll only take two minutes.

Usage-based offering based on a software as a service solution

The modular cloud infrastructure enables flexible use in various application scenarios with usage-based billing options.

Five steps to AI-based noise detection

Automatic detection of unwanted noise in real time, during component tests or end-of-line test benches. Cost and resource efficient.

1. Listen & record

The test bench or station is equipped with minimally invasive sensor technology. The data acquisition is started.

2. Evaluate

The engineer uses the software to document quality criteria of the noise detection and thus creates the basis for the AI model training.

3. Train

Based on the available data a deep learning algorithm is trained and provided in the cloud.

4. Monitor & detect

The test bench is continuously monitored and noise anomalies are detected automatically in real time. The noises can be visualized, evaluated and compared.

5. Verify

The engineer provides feedback on the accuracy of the noise detection and optimizes the algorithm in the long term.

Häufige Fragen

Bietet Sounce auch eine Hardwarelösung an?

The argument in favor of using filler text goes something like this: If you use real content in the design process, anytime reach a review point you’ll end up reviewing and negotiating.

Woher weiß ich, dass die KI in meinem Prozess funkioniert?

The argument in favor of using filler text goes something like this: If you use real content in the design process, anytime reach a review point you’ll end up reviewing and negotiating.

Wieviele Daten braucht man fürs Training?

The argument in favor of using filler text goes something like this: If you use real content in the design process, anytime reach a review point you’ll end up reviewing and negotiating.

Welche Sensoren kommen zum Einsatz?

The argument in favor of using filler text goes something like this: If you use real content in the design process, anytime reach a review point you’ll end up reviewing and negotiating.

Funktioniert die Lösung in anderen Umgebungen?

The argument in favor of using filler text goes something like this: If you use real content in the design process, anytime reach a review point you’ll end up reviewing and negotiating.

'Porsche Digital GmbH designed and developed the software as a service (SaaS) solution together with the development department of Porsche AG.'

Download press release

Contact Us

Sophie Schwandt

Product Owner
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