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Parking lot monitoring with smart cameras

Abstract
Data di Pubblicazione:
2019
Abstract:
In this article, we present a scenario for monitoring the occupancy of parking spaces in the historical city of Lucca (Italy) based on the use of intelligent cameras and the most modern technologies of artificial intelligence. The system is designed to use different smart-camera prototypes: where the connection to the power grid is available, we propose a powerful embedded hardware solution that exploits a Deep Neural Network. Otherwise, a fully autonomous energy-harvesting node based on a low-energy custom board employing lightweight image analysis algorithms is considered.
Tipologia CRIS:
04.02 Abstract in Atti di convegno
Keywords:
Deep Learning; Car occupacy detection; IOT
Elenco autori:
Leone, GIUSEPPE RICCARDO; Carrara, Fabio; Ciampi, Luca; Amato, Giuseppe; Gennaro, Claudio; Pieri, Gabriele; Moroni, Davide; Bolettieri, Paolo; Vairo, CLAUDIO FRANCESCO
Autori di Ateneo:
AMATO GIUSEPPE
BOLETTIERI PAOLO
CARRARA FABIO
CIAMPI LUCA
GENNARO CLAUDIO
LEONE GIUSEPPE RICCARDO
MORONI DAVIDE
PIERI GABRIELE
VAIRO CLAUDIO FRANCESCO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/362232
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/362232/85678/prod_412634-doc_145257.pdf
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