The coastal erosion is becoming of paramount importance for many countries. Many studies demonstrated that in some cases the beach overcrowding is the primary cause of coastal erosion. The goal of this work was to design, implement and test a system (BRB-Be Right Beach) that foster beach overcrowding avoidance and allows anyone to choose the right beach to go for having the best experience. The major requirement of our system was to have maximum accuracy (no errors, that is real-Time data only are used) in the information provided to the users. The system exploits the Social Internet of Things paradigm to implement a classifier trained by a community of smartphones brought by the owners to the beaches. The BRB sensor network consists of control units equipped with a UV sensor, a thermometer, a humidity sensor and a camera for crowdedness estimation. Data are collected by a cloud platform that provide any user with information about beaches and suggestions where to go, based on users preferences like weather, crowdedness, time of travel, and so on.
Be Right Beach: A Social IoT System for Sustainable Tourism Based on Beach Overcrowding Avoidance / Girau R.; Ferrara E.; Pintor M.; Sole M.; Giusto D.. - ELETTRONICO. - (2018), pp. 9-14. (Intervento presentato al convegno 11th IEEE International Congress on Conferences on Internet of Things, 14th IEEE International Conference on Green Computing and Communications, 11th IEEE International Conference on Cyber, Physical and Social Computing, 4th IEEE International Conference on Smart Data, 1st IEEE International Conference on Blockchain and 18th IEEE International Conference on Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018 tenutosi a Halifax, Canada nel 30 July - 3 August 2018) [10.1109/Cybermatics_2018.2018.00036].
Be Right Beach: A Social IoT System for Sustainable Tourism Based on Beach Overcrowding Avoidance
Girau R.;
2018
Abstract
The coastal erosion is becoming of paramount importance for many countries. Many studies demonstrated that in some cases the beach overcrowding is the primary cause of coastal erosion. The goal of this work was to design, implement and test a system (BRB-Be Right Beach) that foster beach overcrowding avoidance and allows anyone to choose the right beach to go for having the best experience. The major requirement of our system was to have maximum accuracy (no errors, that is real-Time data only are used) in the information provided to the users. The system exploits the Social Internet of Things paradigm to implement a classifier trained by a community of smartphones brought by the owners to the beaches. The BRB sensor network consists of control units equipped with a UV sensor, a thermometer, a humidity sensor and a camera for crowdedness estimation. Data are collected by a cloud platform that provide any user with information about beaches and suggestions where to go, based on users preferences like weather, crowdedness, time of travel, and so on.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
