The research activities in the field Industrial Sound Analysis are focused on the development of AI-based methods for automated acoustic monitoring of products and processes for use in in-line and end-of-line quality control, process monitoring and predictive maintenance. New research project. Your car is a good example to show the potential of quality assessment based on acoustic signals.
You know the familiar driving sound caused by the engine, tyre wear and airflow. But what do you feel when this noise changes?
A rattling or grinding noise might worry you and make you wonder if your car is still safe to drive. You probably react to this unknown and unexpected condition by driving to the workshop or at least stopping your car. It's no different in industry. We analyse the sound of your product or production process and let you know when something is not working as expected.
In industry, wherever there is movement, there are audible sounds that indicate the quality of products or processes. At the Fraunhofer IDMT in Ilmenau, Germany, we develop AI-based methods for sound analysis - especially for the analysis of industrial sounds - and thus create innovative approaches for automated acoustic monitoring amo of products and processes.
Our team of scientists from the fields of data science, data analysis, software development and project management is therefore researching AI-based solutions for audio signal analysis. The innovation at amo is that the measurement data is processed without any connection to an external cloud, so our solutions can be used locally within the company or directly on the machine.
