Implementation GStreamer framework with face detection system for Unmanned Aerial Vehicle

dc.contributor.authorYesmagambet, N.A.
dc.date.accessioned2016-09-01T10:44:37Z
dc.date.available2016-09-01T10:44:37Z
dc.date.issued2016-06-30
dc.description.abstractThis article provides an experimental development of unmanned aerial vehicle (UAV), and the method by which a video stream from the UAV is transmitted through the pipeline, using GStreamer framework, which in turn takes up in the ground station. Preprocessed data video link will defined the face using Viola Jones method through OpenCV library. During research was modeled drone with the flight controller based hardware computing platform «Raspberry Pi» and «Arduino» with complex algorithms based on Open Source projects «ArduQuad, Arducopter, MultiWii» on the C ++ programming language, Python. A pipe through which is passed a raw data stream videos via WiFi c UAV ground station network.ru_RU
dc.identifier.issn0142-0843
dc.identifier.urihttps://rep.buketov.edu.kz/handle/data/77
dc.language.isoenru_RU
dc.publisherВестник Карагандинского университетаru_RU
dc.relation.ispartofseriesМатематика;
dc.subjectUAVru_RU
dc.subjectface detectionru_RU
dc.subjectopencvru_RU
dc.subjectGStreamerru_RU
dc.titleImplementation GStreamer framework with face detection system for Unmanned Aerial Vehicleru_RU
dc.typeArticleru_RU

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