Control Of Laboratory Processes Using Modern Methods Of Image Processin

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335-eeict_1.pdf(3.91 MB)
Date
2020
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Mark
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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
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.
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Keywords
image processing, OpenCV, cnn, dnn, convolutional neural network, application, object detection, pipette, microplate, wells, laboratory processes
Citation
Proceedings I of the 26st Conference STUDENT EEICT 2020: General papers. s. 335-339. ISBN 978-80-214-5867-3
https://conf.feec.vutbr.cz/eeict/EEICT2020
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Peer-reviewed
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en
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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http://hdl.handle.net/11012/200590
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Student EEICT 2020
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