Control of laboratory processes using modern methods of image processing

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU136717" target="_blank" >RIV/00216305:26220/20:PU136717 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.feec.vutbr.cz/conf/EEICT/archiv/sborniky/EEICT_2020_sbornik_1.pdf" target="_blank" >http://www.feec.vutbr.cz/conf/EEICT/archiv/sborniky/EEICT_2020_sbornik_1.pdf</a>
DOI - Digital Object Identifier
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Jazyk výsledku
angličtina
Název v původním jazyce
Control of laboratory processes using modern methods of image processing
Popis výsledku v původním jazyce
The thesis deals with the image processing and detection of specific objects in the image. The main objective of this work is to implement a algoritm for the control of pipetting processes based on images from the camera. In this thesis is used for image processing an open source computer vision library OpenCV and for pipette detection is used convolutional neural network. The proposed solution is still in development process. The following article describes the issue and the results of the thesis solution.
Název v anglickém jazyce
Control of laboratory processes using modern methods of image processing
Popis výsledku anglicky
The thesis deals with the image processing and detection of specific objects in the image. The main objective of this work is to implement a algoritm for the control of pipetting processes based on images from the camera. In this thesis is used for image processing an open source computer vision library OpenCV and for pipette detection is used convolutional neural network. The proposed solution is still in development process. The following article describes the issue and the results of the thesis solution.

Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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