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SAI 2020: Intelligent Computing pp 380–394Cite as

Development of a Hardware-Software System for the Assembled Helicopter-Type UAV Prototype by Applying Optimal Classification and Pattern Recognition Methods

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1229))

Abstract

The article is devoted to the development of a hardware-software system developed for the designed and assembled helicopter-type Unmanned Aerial Vehicle prototype. The system was developed for the classification and recognition of a person’s face. Various methods were used and applied to optimize the detection and pattern recognition. Proposed algorithm has been implemented for transmitting a video stream from an Unmanned Aerial Vehicle to a ground station.

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Author information

Authors and Affiliations

  1. Nazarbayev University, Nur-Sultan, Kazakhstan

    Askar Boranbayev

  2. L.N. Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan

    Seilkhan Boranbayev & Askar Nurbekov

Authors
  1. Askar Boranbayev
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  2. Seilkhan Boranbayev
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  3. Askar Nurbekov
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Corresponding author

Correspondence to Askar Boranbayev .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

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Boranbayev, A., Boranbayev, S., Nurbekov, A. (2020). Development of a Hardware-Software System for the Assembled Helicopter-Type UAV Prototype by Applying Optimal Classification and Pattern Recognition Methods. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Computing. SAI 2020. Advances in Intelligent Systems and Computing, vol 1229. Springer, Cham. https://doi.org/10.1007/978-3-030-52246-9_28

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