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

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

doi:10.1109/ICGHIT.2019.00011

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

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

Graduate School of Information

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

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 language	English
Title of host publication	Proceedings - 2019 7th International Conference on Green and Human Information Technology, ICGHIT 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	12-17
Number of pages	6
ISBN (Electronic)	9781728106274
DOIs	https://doi.org/10.1109/ICGHIT.2019.00011
Publication status	Published - 2019 Jan
Event	7th International Conference on Green and Human Information Technology, ICGHIT 2019 - Kuala Lumpur, Malaysia Duration: 2019 Jan 16 → 2019 Jan 18

Publication series

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

Conference

Conference	7th International Conference on Green and Human Information Technology, ICGHIT 2019
Country/Territory	Malaysia
City	Kuala Lumpur
Period	19/1/16 → 19/1/18

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICGHIT.2019.00011

Cite this

Edemacu, K., Kim, J. W., Jang, B., & Park, H. K. (2019). Poacher detection in African game parks and reserves with IoT: Machine learning approach. In Proceedings - 2019 7th International Conference on Green and Human Information Technology, ICGHIT 2019 (pp. 12-17). Article 8866980 (Proceedings - 2019 7th International Conference on Green and Human Information Technology, ICGHIT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICGHIT.2019.00011

Edemacu, Kennedy ; Kim, Jong Wook ; Jang, Beakcheol et al. / Poacher detection in African game parks and reserves with IoT : Machine learning approach. Proceedings - 2019 7th International Conference on Green and Human Information Technology, ICGHIT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 12-17 (Proceedings - 2019 7th International Conference on Green and Human Information Technology, ICGHIT 2019).

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title = "Poacher detection in African game parks and reserves with IoT: Machine learning approach",

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.",

author = "Kennedy Edemacu and Kim, {Jong Wook} and Beakcheol Jang and Park, {Hung Kook}",

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language = "English",

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Edemacu, K, Kim, JW, Jang, B & Park, HK 2019, Poacher detection in African game parks and reserves with IoT: Machine learning approach. in Proceedings - 2019 7th International Conference on Green and Human Information Technology, ICGHIT 2019., 8866980, Proceedings - 2019 7th International Conference on Green and Human Information Technology, ICGHIT 2019, Institute of Electrical and Electronics Engineers Inc., pp. 12-17, 7th International Conference on Green and Human Information Technology, ICGHIT 2019, Kuala Lumpur, Malaysia, 19/1/16. https://doi.org/10.1109/ICGHIT.2019.00011

Poacher detection in African game parks and reserves with IoT: Machine learning approach. / Edemacu, Kennedy; Kim, Jong Wook; Jang, Beakcheol et al.
Proceedings - 2019 7th International Conference on Green and Human Information Technology, ICGHIT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 12-17 8866980 (Proceedings - 2019 7th International Conference on Green and Human Information Technology, ICGHIT 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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Edemacu K, Kim JW, Jang B, Park HK. Poacher detection in African game parks and reserves with IoT: Machine learning approach. In Proceedings - 2019 7th International Conference on Green and Human Information Technology, ICGHIT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 12-17. 8866980. (Proceedings - 2019 7th International Conference on Green and Human Information Technology, ICGHIT 2019). doi: 10.1109/ICGHIT.2019.00011

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

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

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