Wildlife Species Classification on the Edge: A Deep Learning Perspective
Ingaleshwar S, Tasharofi F, Pava MA, Vaishya H, Tabak Y, Ernst J, Portas R, Rast W, Melzheimer J, Aschenborn O, Goetz T, Goeb S (2024)
Publication Type: Conference contribution
Publication year: 2024
Publisher: Science and Technology Publications, Lda
Book Volume: 3
Pages Range: 600-608
Conference Proceedings Title: International Conference on Agents and Artificial Intelligence
Event location: Rome, ITA
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.
Involved external institutions
Fraunhofer-Institut für Integrierte Schaltungen (IIS)
Germany (DE)
Leibniz-Institut für Zoo- und Wildtierforschung (IZW)
Germany (DE)
Germany (DE)
Leibniz-Institut für Zoo- und Wildtierforschung (IZW)
Germany (DE)
How to cite
APA:
Ingaleshwar, S., Tasharofi, F., Pava, M.A., Vaishya, H., Tabak, Y., Ernst, J.,... Goeb, S. (2024). Wildlife Species Classification on the Edge: A Deep Learning Perspective. In Ana Paula Rocha, Luc Steels, Jaap van den Herik (Eds.), International Conference on Agents and Artificial Intelligence (pp. 600-608). Rome, ITA: Science and Technology Publications, Lda.
MLA:
Ingaleshwar, Subodh, et al. "Wildlife Species Classification on the Edge: A Deep Learning Perspective." Proceedings of the 16th International Conference on Agents and Artificial Intelligence, ICAART 2024, Rome, ITA Ed. Ana Paula Rocha, Luc Steels, Jaap van den Herik, Science and Technology Publications, Lda, 2024. 600-608.
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