Wildlife Species Classification on the Edge: A Deep Learning Perspective

Subodh Ingaleshwar, Farid Thasharofi, Mateo Pava, Harshit Vaishya, Yazan Tabak, Juergen Ernst, Ruben Portas, Wanja Rast, Joerg Melzheimer, Ortwin Aschenborn, Theresa Goetz, Theresa Goetz, Stephan Goeb

2024

Abstract

Accurate and timely recognition of wild animal species is very important for various management processes in nature conservation. In this article, we propose an energy-efficient way of classifying animal species in real-time. Specifically, we present an image classification system on a low power Edge-AI device, which embeds a deep neural network (DNN) in a microcontroller that accurately recognizes different animal species. We evaluate the performance of the proposed system using a real-world dataset collected via a small handheld camera from remote conservation regions of Africa. We implement different DNN models and deploy them on the embedded device to perform real-time classification of animal species. The experimental results show that the proposed animal species classification system is able to obtain a remarkable accuracy of 84.30% with an energy efficiency of 0.885 𝑚J on an edge device. This work provides a new perspective toward low power, energy-efficient, fast and accurate edge-AI technology to help in inhibiting wildlife-human conflicts.

Paper Citation

in Harvard Style

Ingaleshwar S., Thasharofi F., Pava M., Vaishya H., Tabak Y., Ernst J., Portas R., Rast W., Melzheimer J., Aschenborn O., Goetz T. and Goeb S. (2024). Wildlife Species Classification on the Edge: A Deep Learning Perspective. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4, SciTePress, pages 600-608. DOI: 10.5220/0012376700003636

in Bibtex Style

@conference{icaart24,
author={Subodh Ingaleshwar and Farid Thasharofi and Mateo Pava and Harshit Vaishya and Yazan Tabak and Juergen Ernst and Ruben Portas and Wanja Rast and Joerg Melzheimer and Ortwin Aschenborn and Theresa Goetz and Stephan Goeb},
title={Wildlife Species Classification on the Edge: A Deep Learning Perspective},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={600-608},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012376700003636},
isbn={978-989-758-680-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Wildlife Species Classification on the Edge: A Deep Learning Perspective
SN - 978-989-758-680-4
AU - Ingaleshwar S.
AU - Thasharofi F.
AU - Pava M.
AU - Vaishya H.
AU - Tabak Y.
AU - Ernst J.
AU - Portas R.
AU - Rast W.
AU - Melzheimer J.
AU - Aschenborn O.
AU - Goetz T.
AU - Goeb S.
PY - 2024
SP - 600
EP - 608
DO - 10.5220/0012376700003636
PB - SciTePress