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Razvoj sistema za vizualno spremljanje bakterijske kontaminacije hladilno-mazalnih tekočin
ID Gojić, Damjan (Author), ID Pušavec, Franci (Mentor) More about this mentor... This link opens in a new window

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Abstract
V diplomski nalogi je obravnavan razvoj sistema za spremljanje bakterijske kontaminacije hladilno-mazalnih tekočin. Predstavljeni so uporabljena oprema, postavitev sistema ter razvoj programske opreme za avtomatski zajem in analizo slik dip slide gojišč. Opisan je postopek zajema slik med inkubacijo ter obdelava posnetkov, pri kateri se zaznavajo in vrednotijo bakterijske kolonije. Razvit sistem omogoča spremljanje razvoja bakterijskih kolonij, določanje njihovega števila in deleža pokritosti gojišča ter spremljanje temperature inkubacije. Rezultati so prikazani tabelarično in grafično ter omogočajo spremljanje bakterijske rasti skozi čas. V zaključku so predstavljene ugotovitve o delovanju razvitega sistema in njegovi uporabnosti za spremljanje bakterijske kontaminacije hladilno-mazalnih tekočin.

Language:Slovenian
Keywords:hladilno mazalne tekočine, bakterijska kontaminacija, dip slide gojišča, obdelava slike, strojni vid, avtomatizirano spremljanje
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FS - Faculty of Mechanical Engineering
Place of publishing:Ljubljana
Publisher:[D. Gojić]
Year:2026
Number of pages:XX, 50 str.
PID:20.500.12556/RUL-189692 This link opens in a new window
UDC:621.892:004.93(043.2)
COBISS.SI-ID:301389059 This link opens in a new window
Publication date in RUL:13.10.2026
Views:40
Downloads:15
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Secondary language

Language:English
Title:Development of a visual monitoring system for bacterial contamination of metalworking fluids
Abstract:
The thesis addresses the development of a system for monitoring bacterial contamination in metalworking fluids. The equipment used, system setup, and development of software for the automated acquisition and analysis of dip slide culture media images are presented. The procedure for capturing images during incubation and the processing of the acquired images, in which bacterial colonies are detected and evaluated, are described. The developed system enables monitoring of bacterial colony development, determining the number of colonies and the percentage of culture medium coverage, as well as monitoring the incubation temperature. The results are presented in tabular and graphical form, enabling the monitoring of bacterial growth over time. The conclusion presents the findings regarding the operation of the developed system and its applicability for monitoring bacterial contamination in metalworking fluids.

Keywords:metalworking fluids, bacterial contamination, dip slide culture media, image processing, machine vision, automated monitoring

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