20.500.12556/DKUM-81739 Robotska celica za adaptivno vizualno kontrolo kvalitete magistrsko delo Robotic cell for adaptive visual quality control Magistrska naloga obravnava uporabo koncepta proizvodnje brez napak, kjer se z uporabo adaptivne vizualne kontrole kvalitete prek robotskega mehanizma s pritrjeno kamero preverja kakovost industrijskih izdelkov. Za generiranje trajektorije pomika robotske roke med določenimi točkami v prostoru so se uporabili različni načrtovalci gibanja (planerji), katerih primerjalna analiza je v nalogi podrobno opisana. Na podlagi rezultatov najpomembnejših parametrov je bil izbran najprimernejši planer. Za obravnavan primer sta opisana tudi uporaba globokih nevronskih mrež v korelaciji z vizualnim zaznavanjem kakovosti elementov in interpretacija slike v smislu strojnega vida za dosego vizualne kontrole kvalitete izdelkov. The master's thesis discusses the use of zero defects manufacturing concept, where the quality of industrial products is checked with the help of adaptive visual quality control via a robotic mechanism with an in-hand camera. The trajectories for the robot arm movement between defined vantage points in workspace are generated with the use of various motion planners, of which benchmark results are thoroughly described in this thesis. The most suitable planner was chosen on the basis of the results of the most important parameters. The descriptions of the use of deep neural networks in correlation with visual quality inspection and of picture interpretation in regard to machine vision for visual quality inspection are also discussed. Proizvodnja brez napak planerji gibanja nevronske mreže vizualna kontrola kvalitete Zero defects manufacturing motion planners neural networks visual quality control true true false [M. Gams] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2022-05-23 18:45:22 2022-06-23 12:21:43 2022-08-20 03:07:18 0000-00-00 00:00:00 2022 0 Maribor 0 Maribor 1 spletni vir (1 datoteka PDF (IX, 70 f.)) 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.032.26:658.562(043.2) 118644739 MAG_Gams_Matej_2022.pdf MAG_Gams_Matej_2022.pdf 1 469F5011BD85CFA8EF54E62A60EC7BCF 47d545ca65bbacc1b76eecba20b4a54dd7423ce1d85e5ad1c935796444169c05 14857df8-f25c-11ec-8982-00155d000105 20.500.12556/dkum/787a80be-e924-4b74-9c00-71dabad14ac4 https://dk.um.si/Dokument.php?lang=slv&id=158832 Fakulteta za strojništvo 0 0 0