Raspberrypi Camera Checker

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but.event.date25.04.2019cs
but.event.titleStudent EEICT 2019cs
dc.contributor.authorBubeník, Martin
dc.date.accessioned2020-04-16T07:19:33Z
dc.date.available2020-04-16T07:19:33Z
dc.date.issued2019cs
dc.description.abstractGoal of this paper is describing a created program for industrial inspection of correctly made connectors based on computer recognition. Application for detection and recognition is implemented in Python on the Raspberry PI platform using the empirically-known OpenCV library. The result of this work is the algorithm for identifying the correct number of the batch production of the connector which operator can simultaneously checks in the web visualization or historical data in the database.en
dc.formattextcs
dc.format.extent335-337cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 25st Conference STUDENT EEICT 2019. s. 335-337. ISBN 978-80-214-5735-5cs
dc.identifier.isbn978-80-214-5735-5
dc.identifier.urihttp://hdl.handle.net/11012/186686
dc.language.isoskcs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 25st Conference STUDENT EEICT 2019en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectRaspberryPien
dc.subjectOpenCVen
dc.subjectrecognitionen
dc.subjectweb GUIen
dc.titleRaspberrypi Camera Checkeren
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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