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Vehicle Location Detection and Distribution from Camera Images
Stryk, Filip ; Götthans, Jakub (oponent) ; Götthans, Tomáš (vedoucí práce)
This bachelor's thesis deals with vehicle location detection and tracking. Basic principles of deep learning and convolutional networks are presented. Deep learning based object detectors are described with a focus on YOLO and then compared in terms of accuracy and speed. A system for vehicle location detection and tracking using YOLOv4-tiny and SORT is designed, implemented and evaluated.
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Neural Networks For Visual Classification And Inspection Of The Industrial Products
Míček, Vojtěch
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.
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