Control Of Laboratory Processes Using Modern Methods Of Image Processin

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but.event.date23.04.2020cs
but.event.titleStudent EEICT 2020cs
dc.contributor.authorKiac, Martin
dc.date.accessioned2021-07-15T11:17:22Z
dc.date.available2021-07-15T11:17:22Z
dc.date.issued2020cs
dc.description.abstractThe 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.en
dc.formattextcs
dc.format.extent335-339cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 26st Conference STUDENT EEICT 2020: General papers. s. 335-339. ISBN 978-80-214-5867-3cs
dc.identifier.isbn978-80-214-5867-3
dc.identifier.urihttp://hdl.handle.net/11012/200590
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 26st Conference STUDENT EEICT 2020: General papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/EEICT2020cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectimage processingen
dc.subjectOpenCVen
dc.subjectcnnen
dc.subjectdnnen
dc.subjectconvolutional neural networken
dc.subjectapplicationen
dc.subjectobject detectionen
dc.subjectpipetteen
dc.subjectmicroplateen
dc.subjectwellsen
dc.subjectlaboratory processesen
dc.titleControl Of Laboratory Processes Using Modern Methods Of Image Processinen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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