Goschenhofer, JannJannGoschenhoferRüger, SteffenSteffenRügerEnnen, AlexanderAlexanderEnnen2023-12-052023-12-052023-06-14https://publica.fraunhofer.de/handle/publica/457577The application concerns an apparatus and a method for classifying material objects. The apparatus comprises a deep learning model. The apparatus is configured to, in an initialization phase, subject the deep learning model to supervised learning based on a training data obtained from, for each of a training set of material objects, a pairs of sensor data obtained by a measurement of the respective material object and label information associating the respective material object with a target classification. Additionally, the apparatus is configured to, using the deep learning model, classify a predetermined material object based on sensor data obtained by a measurement of the predetermined material object.enpatentEP4194107 A1EP20220152672