Artificial Intelligence (AI) is increasingly employed to develop public services that make life easier for citizens. In this abstract, we present some research topics and applications carried out by the Artificial Intelligence for Media and Humanities (AIMH) laboratory of the ISTI-CNR of Pisa about the study and development of AI-based services for Smart Cities dedicated to the interaction with the physical world through the analysis of images gathered from city cameras. Like no other sensing mechanism, networks of city cameras can 'observe' the world and simultaneously provide visual data to AI systems to extract relevant information and make/suggest decisions helping to solve many real-world problems. Specifically, we discuss some solutions in the context of smart mobility, parking monitoring, infrastructure management, and surveillance systems.

AI and computer vision for smart cities

Amato G;Carrara F;Ciampi L;Di Benedetto M;Gennaro C;Falchi F;Messina N;Vairo C
2022

Abstract

Artificial Intelligence (AI) is increasingly employed to develop public services that make life easier for citizens. In this abstract, we present some research topics and applications carried out by the Artificial Intelligence for Media and Humanities (AIMH) laboratory of the ISTI-CNR of Pisa about the study and development of AI-based services for Smart Cities dedicated to the interaction with the physical world through the analysis of images gathered from city cameras. Like no other sensing mechanism, networks of city cameras can 'observe' the world and simultaneously provide visual data to AI systems to extract relevant information and make/suggest decisions helping to solve many real-world problems. Specifically, we discuss some solutions in the context of smart mobility, parking monitoring, infrastructure management, and surveillance systems.
2022
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Smart city
Smart mobility
Smart parking
Deep Learning
Computer vision
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/417383
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