Artículo
Wildlife Monitoring on the Edge: A Performance Evaluation of Embedded Neural Networks on Microcontrollers for Animal Behavior Classification
Autor/es | Domínguez Morales, Juan Pedro
Durán López, Lourdes Gutiérrez Galán, Daniel Ríos Navarro, José Antonio Linares Barranco, Alejandro Jiménez Fernández, Ángel Francisco |
Departamento | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores |
Fecha de publicación | 2021-04 |
Fecha de depósito | 2021-06-07 |
Publicado en |
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Resumen | Monitoring animals’ behavior living in wild or semi-wild environments is a very interesting subject for biologists who work with them. The difficulty and cost of implanting electronic devices in this kind of animals suggest ... Monitoring animals’ behavior living in wild or semi-wild environments is a very interesting subject for biologists who work with them. The difficulty and cost of implanting electronic devices in this kind of animals suggest that these devices must be robust and have low power consumption to increase their battery life as much as possible. Designing a custom smart device that can detect multiple animal behaviors and that meets the mentioned restrictions presents a major challenge that is addressed in this work. We propose an edge-computing solution, which embeds an ANN in a microcontroller that collects data from an IMU sensor to detect three different horse gaits. All the computation is performed in the microcontroller to reduce the amount of data transmitted via wireless radio, since sending information is one of the most power-consuming tasks in this type of devices. Multiples ANNs were implemented and deployed in different microcontroller architectures in order to find the best balance between energy consumption and computing performance. The results show that the embedded networks obtain up to 97.96% ± 1.42% accuracy, achieving an energy efficiency of 450 Mops/s/watt. |
Identificador del proyecto | PID2019- 105556GB-C33/AEI/10.13039/501100011033 |
Cita | Domínguez Morales, J.P., Durán López, L., Gutiérrez Galán, D., Ríos Navarro, J.A., Linares Barranco, A. y Jiménez Fernández, Á.F. (2021). Wildlife Monitoring on the Edge: A Performance Evaluation of Embedded Neural Networks on Microcontrollers for Animal Behavior Classification. Sensors, 21 (9), 2975-. |
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