Title
Collaborative Mobile Surveillance System for Smart Cities
Date Issued
01 December 2020
Access level
metadata only access
Resource Type
conference paper
Author(s)
De Biase L.C.C.
Afzal S.
Fedrecheski G.
Zuffo M.K.
University of São Paulo
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
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.
Start page
1193
End page
1194
Number
9458122
Language
English
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones Sistemas de automatización, Sistemas de control
Scopus EID
2-s2.0-85113415698
Resource of which it is part
Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
ISBN of the container
978-172817624-6
Conference
2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
Sponsor(s)
This work was supported in part by BNDES grant number 19.2.0650.1, Groupe PSA, SMART MODULAR, American Tower Corporation, the Secretary of Public Safety of the State of Sao Paulo (SSP-SP) and LSI-TEC. Banco Nacional de Desenvolvimento Econômico e Social 19.2.0650.1 BNDES American Council on Science and Education
Sources of information: Directorio de Producción Científica Scopus