English

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

Artificial Intelligence 2024-09-24 v1 Emerging Technologies Human-Computer Interaction

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.

Cite

@article{arxiv.2409.15243,
  title  = {MACeIP: A Multimodal Ambient Context-enriched Intelligence Platform in Smart Cities},
  author = {Truong Thanh Hung Nguyen and Phuc Truong Loc Nguyen and Monica Wachowicz and Hung Cao},
  journal= {arXiv preprint arXiv:2409.15243},
  year   = {2024}
}

Comments

4 pages, 6 figures, IEEE/IEIE ICCE-Asia 2024

R2 v1 2026-06-28T18:54:03.446Z