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Title	Collaborative Mobile Surveillance System For Smart Cities
ID_Doc	14735
Authors	De Biase L.C.C.; Afzal S.; Calcina-Ccori P.; Fedrecheski G.; Zuffo M.K.
Year	2020
Published	Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
DOI	http://dx.doi.org/10.1109/CSCI51800.2020.00223
Abstract	In this poster, we design the Collaborative Mobile Surveillance System (CMSS) integrating vehicles and Internet of Things (IoT), for an intelligent and near real-time safety management. The system, consisting of Artificial Intelligence (AI) and network communication methods, aims to improve the sense of safety for drivers in smart cities. The CMSS will detect and notify emergency events, such as crime and lifethreatening situations, using sensors, AI-based audio processing and computer vision, and send notifications to emergency services (e.g., police, ambulance, and firefighting) enabling immediate action. © 2020 IEEE.
Author Keywords	IoT; smart city; surveillance

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