Neural Networks For Visual Classification And Inspection Of The Industrial Products
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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.
KeywordsNeural networks, machine vision, product inspection, object classification, Nvidia Jetson Xavier, Raspberry Pi, Intel Movidius, OpenCV, Keras, TensorFlow
Document typePeer reviewed
Document versionFinal PDF
SourceProceedings I of the 26st Conference STUDENT EEICT 2020: General papers. s. 245-248. ISBN 978-80-214-5867-3
- Student EEICT 2020