Increase quality and reduce costs
Sounce enables automated detection of unwanted noises in real time, for example to detect defects during the assembly process, at end-of-line stations or even on development test benches. The seamless monitoring and testing detects and documents defects that would otherwise remain undetected.
Test bench or station is equipped with minimally invasive sensor technology. Data acquisition is started.
The engineer documents the quality criteria of the noise detection via the software and thereby creates the basis of the AI model training.
Based on the existing data, a deep learning algorithm is trained and made available in the cloud.
The test bench is continuously monitored and noise anomalies are automatically detected in real time. The noises can be visualised, evaluated and compared.
The engineer provides feedback on the accuracy of the noise detection and optimises the algorithm in the long term.
The modular cloud infrastructure enables flexible use in various application scenarios with usage-based settlement options.
We have summarized all the important information neatly for you. Click on the "Download" button to view the two-page document.Download