no code implementations • 13 Oct 2020 • Théo Benoit-Cattin, Delia Velasco-Montero, Jorge Fernández-Berni
To assess the performance in outdoor applications, we integrated an external temperature sensor with the RPi4B and conducted a set of experiments with no active cooling in a wide interval of ambient temperature, ranging from 22 {\deg}C to 36 {\deg}C. Variations up to 27. 7% were measured with respect to the maximum throughput achieved in that interval.
1 code implementation • 13 Dec 2019 • Delia Velasco-Montero, Jorge Fernández-Berni, Ricardo Carmona-Galán, Ángel Rodríguez-Vázquez
This paper presents PreVIous, a methodology to predict the performance of convolutional neural networks (CNNs) in terms of throughput and energy consumption on vision-enabled devices for the Internet of Things.