In this paper we present a Wireless Sensor Network (WSN), which is intended to provide a scalable solution for active cooperative monitoring of wide geographical areas. The system is designed to use different smart-camera prototypes: where the connection to the power grid is available a powerful embedded hardware implements a Deep Neural Network, otherwise a fully autonomous energy-harvesting node based on a low-energy custom board employs lightweight image analysis algorithms. Parking lots occupancy monitoring in the historical city of Lucca (Italy) is the application where the implemented smart cameras have been deployed. Traffic monitoring and surveillance are possible new scenarios for the system.

A wireless smart camera network for parking monitoring

Amato G;Bolettieri P;Carrara F;Ciampi L;Gennaro C;Leone GR;Moroni D;Pieri G;Vairo C
2018

Abstract

In this paper we present a Wireless Sensor Network (WSN), which is intended to provide a scalable solution for active cooperative monitoring of wide geographical areas. The system is designed to use different smart-camera prototypes: where the connection to the power grid is available a powerful embedded hardware implements a Deep Neural Network, otherwise a fully autonomous energy-harvesting node based on a low-energy custom board employs lightweight image analysis algorithms. Parking lots occupancy monitoring in the historical city of Lucca (Italy) is the application where the implemented smart cameras have been deployed. Traffic monitoring and surveillance are possible new scenarios for the system.
2018
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
978-1-5386-4920-6
Smart camera
Parking monitoring
Wireless sensor network
Deep learning
Embedded vision sensors
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/356678
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