magistrsko delo
Samo Lorenčič (Author), Simon Klančnik (Mentor), Zlatko Nedelko (Mentor)

Abstract

Strojni vid je kombinacija kompleksne strojne in programske opreme, ki stroju ali robotu omogočata zaznavanje svoje okolice oz. izdelkov na tekočem traku, s ciljem izboljšanja izvedbe proizvodnih procesov. Namen vpeljave in uporabe strojnega vida v proizvodnji je torej predvsem pospešitev delovnih operacij, povečanje kakovosti izdelkov in zmanjšanje izmeta. Namen magistrske naloge je podrobno predstaviti sestavne dele sistema strojnega vida, proces njegove vpeljave v proizvodnjo, ter njegovo vlogo v industriji 4.0. V drugem delu pa se naloga osredotoča tako na tehnološke, kot na ekonomske učinke, ki jih strojni vid prinaša industrijskim podjetjem. Na podlagi teh informacij sem predlagal korake implementacije strojnega vida v proizvodnji sistem, po katerih se lahko podjetja pri vpeljavi strojnega vida orientirajo oz. dobijo vpogled v primernost investicije glede na njihov primer.

Keywords

strojni vid;optimizacija proizvodnje;tehnološki učinki;ekonomski učinki;upravljanje proizvodnje;industrija 4.0;magistrske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UM FS - Faculty of Mechanical Engineering
Publisher: [S. Lorenčič]
UDC: 004.9:658.51(043.2)
COBISS: 33997827 Link will open in a new window
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Downloads: 137
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Other data

Secondary language: English
Secondary title: Analysis of introduction of machine vision into production systems
Secondary abstract: Machine vision is a combination of complex hardware and software that allows a machine or robot to perceive its surroundings and products on the assembly line with the aim of improving the implementation of production processes. The purpose of implementation of machine vision into production system is therefore primarily to speed up work operations, increase product quality and reduce emissions. The purpose of the master's thesis is to present in detail the components of the machine vision system, the process of its implementation into production and its role in industry 4.0. In the second part, the thesis focuses on both, the technological and economic effects that machine vision brings to industrial companies. Based on this information, I proposed steps for the implementation of machine vision into production system, according to which companies can orient themselves when introducing machine vision and can help them to gain insight into whether such an investment is appropriate for them at all.
Secondary keywords: machine vision;optimization of production;technological effects;economic effects;production management;Industry 4.0;
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za strojništvo, GING
Pages: VIII, 80 f.
ID: 11996759