Original title: Neural Networks For Visual Classification And Inspection Of The Industrial Products
Authors: Míček, Vojtěch
Document type: Papers
Language: cze
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: The aim of this thesis is to enable evaluation of quality, or the type of product in industrial applications using artificial neural networks, especially in applications where the classical approach of machine vision is too complicated. The system thus designed is implemented onto a specific hardware platform and becomes a subject to the final optimalisation for the hardware platform for the best performance of the system.
Keywords: Intel Movidius; Keras; machine vision; Neural networks; Nvidia Jetson Xavier; object classification; OpenCV; product inspection; Raspberry Pi; TensorFlow
Host item entry: Proceedings I of the 26st Conference STUDENT EEICT 2020: General papers, ISBN 978-80-214-5867-3

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/200570

Permalink: http://www.nusl.cz/ntk/nusl-447622


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