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[null,"1.","Record Nr.",null,"UNINA9910805676903321"]
[null,null,"Autore",null,"Mitschke Norbert"]
[null,null,"Titolo",null,"Konvolutionäre neuronale Netze in der industriellen Bildverarbeitung und Robotik / / Norbert Mitschke"]
[null,null,"Pubbl/distr/stampa",null,"Karlsruhe : , : KIT Scientific Publishing, , 2022"]
[null,null,"Descrizione fisica",null,"1 online resource (212 p.)"]
[null,null,"Collana",null,"Forschungsberichte aus der Industriellen Informationstechnik; ; 26"]
[null,null,"Disciplina",null,"621.399"]
[null,null,"Soggetti",null,"Image processing - Industrial applications"]
[{"$nulls":4},"Robotics - Industrial applications"]
[{"$nulls":4},"Machine learning - Industrial applications"]
[null,null,"Lingua di pubblicazione",null,"Tedesco"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,null,"Sommario/riassunto","In the first part of this dissertation, a framework for the design of a CNN for FPGAs is presented, consisting of a preprocessing algorithm, an augmentation technique, a custom quantization scheme and a pruning step of the CNN. The combination of conventional image processing with neural networks is shown in the second part by an example from robotics, where an image-based visual servoing process is successfully conducted for a gripping process of a robot."]