IoT Sensor Network for Wild-Animal Detection near Roads

Author:

Knyva Mindaugas1,Gailius Darius2,Balčiūnas Gintautas2,Pratašius Darius3,Kuzas Pranas1ORCID,Kukanauskaitė Aistė1

Affiliation:

1. Department of Electronics Engineering, Faculty of Electrical and Electronics, Kaunas University of Technology, LT-51368 Kaunas, Lithuania

2. Faculty of Electrical and Electronics, Metrology Institute, Kaunas University of Technology, LT-51368 Kaunas, Lithuania

3. MB “Dok inovacija”, LT-45252 Kaunas, Lithuania

Abstract

The monitoring and detection of wild animals is a significant topic for researchers who study the behavior, lifestyle, and environment of wild animals, as well as for people who encounter wildlife both in residential areas and near roads while traveling. An innovative wild-animal detection internet-of-things (IoT) sensor network running on harvested solar energy and detection methodology is described in this article. The sensor-networks node is implemented via the principle of an embedded system incorporating passive infrared sensors, a long-range (LoRa) module, and a solar panel for energy harvesting. For experimental purposes, a small IoT sensor network was implemented near the road. The network consists of eight nodes placed near the road with a distance of 50 m between nodes, a gateway for gathering detection data from the nodes, and a thermo-vision camera for verification of the received data.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference50 articles.

1. Huijser, M.P., McGowen, P.T., Camel, W., Hardy, A., Wright, P., and Clevenger, A.P. (2006). Animal Vehicle Crash Mitigation Using Advanced Technology Phase I: Review, Design and Implementation, Western Transportation Institute—Montana State University.

2. Forslund, D., and Bjärkefur, J. (2014, January 8–11). Night Vision Animal Detection. Proceedings of the 2014 IEEE Inteligen Vehicles Symposium (IV), Ypsilanti, MI, USA.

3. Huijser, M.P., Holland, T.D., Blank, M., Greenwood, M.C., McGowen, P.T., Hubbard, B., and Wang, S. (2009). The Comparison of Animal Deetection Systems in a Test-Bed: A Quantitative Comparison of System Reliability and Experiences with Operation and Maintenance, Western Transportation Institute.

4. Maulana, E., Nugrho, C.S., and Dianisma, A.B. (2018, January 9–11). Animal Presence Detection for Elephants and Extruding Method Based on Bee Frequency. Proceedings of the 2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS), Batu, East Java, Indonesia.

5. Mukherjee, A., Stolpner, S., Liu, X., Vrenozaj, U., Fei, C., and Sinha, A. (2013, January 3–6). Large Animal Detection and Continuous Traffic Monitoring on Highways. Proceedings of the 2013 IEEE Sensors, Baltimore, MD, USA.

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