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Smart city article details

Title	An Automated Visual Recognition System To Counteract Illegal Dumping In Smart Cities
ID_Doc	7697
Authors	Coccoli M.; De Francesco V.; Fusco A.; Maresca P.
Year	2020
Published	DMSVIVA 2020 - Proceedings of the 26th International DMS Conference on Visualization and Visual Languages
DOI	http://dx.doi.org/10.18293/DMSVIVA20-006
Abstract	In this paper we will describe the prototype form of an automated visual recognition system designed to mitigate illegal dumping, as the outcome of an experiential learning activity. The presented solution relies on the sensor networks of a smart city where the waste management system is supposed to be integrated with other municipality services for environment control and management. In particular, we want to take advantage of the pictures, frames and videos continuously recorded by cameras installed in the cities for traffic monitoring, for surveillance or any other reason. Such data are processed by means of cognitive computing techniques and a specific algorithm of image analysis has been trained to identify trash, especially bulky waste, where it should not be, and trigger an alarm to the municipality. Besides, an organization plan is also proposed for intelligent waste collection as well as some organizational ideas for scalability. The learning activity has been conducted within the program “Party Cloud Challenge per Genova” promoted by IBM in collaboration with the city municipality of Genoa, Italy. © 2020 DMSVIVA 2020 - Proceedings of the 26th International DMS Conference on Visualization and Visual Languages. All rights reserved.
Author Keywords	Cognitive computing; Environment; Image recognition; Smart city; Waste management

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