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Wildlife Presence Detection Using the Affordable Hardware Solution and an IR Movement Detector

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Computational Collective Intelligence (ICCCI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10449))

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Abstract

Although there are many wildlife cameras in various price ranges available on the market, these may be too expensive for certain uses and may provide functionality that is not necessarily needed. This paper concentrates on guidelines for building a low cost device capable of storing times of movement detections and exposing simple API. This API can be accessed via Android counterpart application, that reads, stores and presents the data. Such technology may become useful for hunters trying to determine the times when they are most likely to encounter their prey at a certain location or similar situations when movement intensity based on time is the information of interest.

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Acknowledgment

The support of Czech Science Foundation GACR project #15-11724S is gratefully acknowledged.

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Authors and Affiliations

  1. Faculty of Informatics and Management, Center for Basic and Applied Research (CBAR), University of Hradec Kralove, Hradec Kralove, Czech Republic

    Jan Stepan, Matej Danicek, Richard Cimler, Jan Matyska & Ondrej Krejcar

Authors
  1. Jan Stepan
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  2. Matej Danicek
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  3. Richard Cimler
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  4. Jan Matyska
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  5. Ondrej Krejcar
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Corresponding author

Correspondence to Richard Cimler .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Department of Computer Science, University of Cyprus, Nicosia, Cyprus

    George A. Papadopoulos

  3. Department of Information Systems, Gdynia Maritime University, Gdynia, Poland

    Piotr Jędrzejowicz

  4. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

  5. Department of Information Systems, University of Münster, Münster, Germany

    Gottfried Vossen

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© 2017 Springer International Publishing AG

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Stepan, J., Danicek, M., Cimler, R., Matyska, J., Krejcar, O. (2017). Wildlife Presence Detection Using the Affordable Hardware Solution and an IR Movement Detector. In: Nguyen, N., Papadopoulos, G., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2017. Lecture Notes in Computer Science(), vol 10449. Springer, Cham. https://doi.org/10.1007/978-3-319-67077-5_33

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  • DOI: https://doi.org/10.1007/978-3-319-67077-5_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67076-8

  • Online ISBN: 978-3-319-67077-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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