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dc.contributor.authorÇetinkaya, Ali
dc.contributor.authorÖztürk, Onur
dc.contributor.authorOkatan, Ali
dc.date.accessioned2019-08-20T09:59:26Z
dc.date.available2019-08-20T09:59:26Z
dc.date.issued2019-6-30en_US
dc.identifier.issn2149-0104
dc.identifier.issn2149-5262
dc.identifier.urihttps://hdl.handle.net/11363/1391
dc.description.abstractWith the increasing need of repetitive tasks in the manufacturing industry, robotic automation is becoming a necessity. In the steel industry, workers become less efficient over time, causing interruptions during assembly. Robotic automation is capable of operating at highest efficiency therefore increasing productivity in the steel industry. The robot will be able to pick up and drop metallic object with the help of the electromagnet present on the robotic arm. The handling of the objects will be triggered by the hand gestures from the user. The image to be processed will be captured by an external camera. This robot is built as a prototype for the steel industry.en_US
dc.language.isoengen_US
dc.publisherİstanbul Gelişim Üniversitesi Yayınları / Istanbul Gelisim University Pressen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectGesture Recognitionen_US
dc.subjectOpenCVen_US
dc.subjectEmbedded System Robotic Arm Controlen_US
dc.subjectEmbedded C.en_US
dc.titleControlling a Robotic Arm Using Hand Recognition Softwareen_US
dc.typearticleen_US
dc.relation.ispartofInternational Journal of Engineering Technologiesen_US
dc.departmentBölüm Yoken_US
dc.identifier.volume5en_US
dc.identifier.issue2en_US
dc.identifier.startpage59en_US
dc.identifier.endpage63en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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