Ponencia
On-The-Fly Deployment of Deep Neural Networks on Heterogeneous Hardware in a Low-Cost Smart Camera
Autor/es | Velasco Montero, Delia
Fernández Berni, Jorge Carmona Galán, Ricardo Rodríguez Vázquez, Ángel Benito |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2018 |
Fecha de depósito | 2019-08-23 |
Publicado en |
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ISBN/ISSN | 978-1-4503-6511-6/18/09 |
Resumen | This demo showcases a low-cost smart camera where different hardware configurations can be selected to perform image recognition on deep neural networks. Both the hardware configuration and the network model can be changed ... This demo showcases a low-cost smart camera where different hardware configurations can be selected to perform image recognition on deep neural networks. Both the hardware configuration and the network model can be changed any time on the fly. Up to 24 hardware-model combinations are possible, enabling dynamic reconfiguration according to prescribed application requirements. |
Identificador del proyecto | TEC2015-66878-C3-1-R
TIC 2338-2013 765866 |
Cita | Velasco Montero, D., Fernández Berni, J., Carmona Galán, R. y Rodríguez Vázquez, Á.B. (2018). On-The-Fly Deployment of Deep Neural Networks on Heterogeneous Hardware in a Low-Cost Smart Camera. En ACM Int. Conf. on Distributed Smart Cameras (ICDSC) Eindhoven, Netherlands: Association for Computing Machinery. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Demo On-The-Fly Deployment.pdf | 327.2Kb | [PDF] | Ver/ | |