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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Development of an open-source framework for automatic alignment of KORUZA free-space optical communication system</dc:title><dc:creator>Klemenčič,	Nejc	(Avtor)
	</dc:creator><dc:creator>Potočnik,	Božidar	(Mentor)
	</dc:creator><dc:creator>Milivojević,	Vojislav	(Komentor)
	</dc:creator><dc:subject>free-space optics</dc:subject><dc:subject>automatic alignment</dc:subject><dc:subject>neural networks</dc:subject><dc:subject>object detection</dc:subject><dc:subject>open-source framework</dc:subject><dc:description>This thesis aims to implement an open-source framework for the automatic alignment and tracking of the KORUZA v2 Pro free-space optical solution. Free-space optical systems are explored and current optical alignment and tracking solutions are analyzed. We use Neural Network-based object detection approaches to complement the essential collection of framework functionality. We train a Neural Network to detect KORUZA v2 Pro units with data gathered from currently deployed links. The out-of-the-box solution for automatic alignment and tracking can be freely modified and extended.</dc:description><dc:publisher>[N. Klemenčič]</dc:publisher><dc:date>2022</dc:date><dc:date>2022-01-07 09:57:31</dc:date><dc:type>Magistrsko delo/naloga</dc:type><dc:identifier>81107</dc:identifier><dc:identifier>UDK: 004.7.057.8(043.2)</dc:identifier><dc:identifier>COBISS_ID: 103240195</dc:identifier><dc:language>sl</dc:language></metadata>
