Edge-computing video analytics for real-time traffic monitoring in a smart city

Johan Barthélemy, Nicolas Verstaevel, Hugh Forehead, Pascal Perez

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    The increasing development of urban centers brings serious challenges for trafficmanagement. In this paper, we introduce a smart visual sensor, developed for a pilot project taking place in the Australian city of Liverpool (NSW). The project’s aim was to design and evaluate an edge-computing device using computer vision and deep neural networks to track in real-time multi-modal transportation while ensuring citizens’ privacy. The performance of the sensor was evaluated on a town center dataset. We also introduce the interoperable Agnosticity framework designed to collect, store and access data from multiple sensors, with results from two real-world experiments.

    langue originaleAnglais
    Numéro d'article2048
    Nombre de pages23
    Numéro de publication9
    Les DOIs
    Etat de la publicationPublié - 1 mai 2019

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