Grollmisch, SaschaSaschaGrollmischJohnson, DavidDavidJohnsonKrüger, TobiasTobiasKrügerLiebetrau, JudithJudithLiebetrau2022-03-142024-02-292024-05-162022-03-142020https://publica.fraunhofer.de/handle/publica/40882010.5162/SMSI2020/P3.11Analyzing the acoustic response of products being struck is a potential method to detect material deviations or faults for automated quality control. To evaluate this, we implement a material detection system by equipping an air hockey table with two microphones and plastic pucks 3D printed using different materials. Using this setup, a dataset of the acoustic response of impacts on plastic materials was developed and published. A convolutional neural network trained on this data, achieved high classification accuracy even under noisy conditions demonstrating the potential of this approach.enAnalyse Industriegeräusche621006conference paper