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.

Parking lot monitoring with smart cameras

Amato G;Bolettieri P;Carrara F;Ciampi L;Gennaro C;Leone GR;Moroni D;Pieri G;Vairo C
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.
2019
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
I-Cities 2019 - 5th Italian Conference on ICT for Smart Cities And Communities
3
Sì, ma tipo non specificato
18-20 September, 2019
Pisa, Italy
Deep Learning
Car occupacy detection
IOT
proceedings della conferenza non pubblicati
9
info:eu-repo/semantics/conferenceObject
open
274
04 Contributo in convegno::04.02 Abstract in Atti di convegno
Amato, G; Bolettieri, P; Carrara, F; Ciampi, L; Gennaro, C; Leone, Gr; Moroni, D; Pieri, G; Vairo, C
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/362232
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