20.500.12556/RUL-109839 Zaznavanje prisotnosti človeka na osnovi vgradnega računalnika s kamero Detecting the presence of humans using an embedded computer with a camera Zaključna naloga obravnava poblem zaznave človeka z vgradnim računalnikom in kamero, pri tem uporabljamo konvolucijske nevronske mreže in model Posenet. Vzpostavili smo sistem s kamero, LED diodo in računalnikom Google Coral, ki je opremljen z EdgeTPU enoto, ki je posebej namenjena uporabi konvolucijskih mrež. Sistem deluje tako, da ko kamera zazna prisotnost človeka, LED dioda zasveti. Tehnologija omogoča avtonomnim robotom, da so z okolico povezani na novem nivoju. Thesis addresses the problem of human detection using a built-in computer and camera. Main software structure uses convolutional neural networks in combination with the Posenet model. We've assembled a system for human detection whose main components are: camera, LED diode and Google Coral computer, equipped with EdgeTPU module for fast and reliable usage of convolutional neural networks. The working principle of the system is as follows: when the camera detects a human being, the LED lights up. Technology allows autonomous robots to have a new method of extracting and interpreting information from the enviroment. konvolucijske nevronske mreže kamere človek zaznavanje posenet convolutional neural networks cameras human detection posenet true false false [M. Rostohar] Slovenski jezik Angleški jezik Zaključna naloga 2019-09-09 07:16:44 2019-09-09 07:16:48 2022-08-21 03:44:50 0000-00-00 00:00:00 2019 0 Ljubljana 0 X, 28 f. 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.8:004.38:621.397.42(043.2) 216208 16946971 4162.pdf 4162.pdf 1 AB41478979615356620AC4248395E199 2b17732e538b8082478e4a5dbfe560ef71f0da99ced7f0495b583ddf8ab4d51a f8b0eef9-a1b6-11eb-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=121442 Fakulteta za strojništvo 0 0 0