MACeIP: A Multimodal Ambient Context-enriched Intelligence Platform in Smart Cities

• URL: http://arxiv.org/abs/2409.15243v1
• Date: Mon, 23 Sep 2024 17:39:53 GMT
• Title: MACeIP: A Multimodal Ambient Context-enriched Intelligence Platform in Smart Cities
• Authors: Truong Thanh Hung Nguyen, Phuc Truong Loc Nguyen, Monica Wachowicz, Hung Cao,
• Abstract summary: This paper presents a Multimodal Ambient Context-enriched Intelligence Platform (MACeIP) for Smart Cities. Our platform integrates advanced technologies, including Internet of Things (IoT) sensors, edge and cloud computing, and Multimodal AI, to create a responsive and intelligent urban ecosystem. Key components include Interactive Hubs for citizen interaction, an extensive IoT sensor network, intelligent public asset management, a pedestrian monitoring system, a City Planning Portal, and a Cloud Computing System.
• Score: 1.8499314936771563
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: This paper presents a Multimodal Ambient Context-enriched Intelligence Platform (MACeIP) for Smart Cities, a comprehensive system designed to enhance urban management and citizen engagement. Our platform integrates advanced technologies, including Internet of Things (IoT) sensors, edge and cloud computing, and Multimodal AI, to create a responsive and intelligent urban ecosystem. Key components include Interactive Hubs for citizen interaction, an extensive IoT sensor network, intelligent public asset management, a pedestrian monitoring system, a City Planning Portal, and a Cloud Computing System. We demonstrate the prototype of MACeIP in several cities, focusing on Fredericton, New Brunswick. This work contributes to innovative city development by offering a scalable, efficient, and user-centric approach to urban intelligence and management.

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