Poacher detection in African game parks and reserves with IoT: Machine learning approach

Kennedy Edemacu, Jong Wook Kim, Beakcheol Jang, Hung Kook Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Extinction of wildlife animals is one of the well-documented problems the world is battling with currently. Africa which harbors a good number of these species is one of the regions most hit by this problem. To a greater extent, this is due to the continuous poaching practices in various African countries. The emergency of Internet-of-Things (IoT) technology has had a number of promising solutions to problems in many areas such as; environmental monitoring, traffic monitoring, smart health, waste management, e.t.c. Thus in this work, we design an IoT framework to curb the poaching practice in Africa. To improve the effectiveness of our system, we integrate a machine learning model to perform image analysis and classification task for the poacher detection purpose. A trial implementation of the framework is carried out and the results show a significant potential of IoT being used to enhance surveillance in game parks and reserves and hence, control the poaching problem.

Original languageEnglish
Title of host publicationProceedings - 2019 7th International Conference on Green and Human Information Technology, ICGHIT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages12-17
Number of pages6
ISBN (Electronic)9781728106274
DOIs
Publication statusPublished - 2019 Jan
Event7th International Conference on Green and Human Information Technology, ICGHIT 2019 - Kuala Lumpur, Malaysia
Duration: 2019 Jan 162019 Jan 18

Publication series

NameProceedings - 2019 7th International Conference on Green and Human Information Technology, ICGHIT 2019

Conference

Conference7th International Conference on Green and Human Information Technology, ICGHIT 2019
Country/TerritoryMalaysia
CityKuala Lumpur
Period19/1/1619/1/18

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Renewable Energy, Sustainability and the Environment
  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications
  • Information Systems and Management

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