MACeIP: A Multimodal Ambient Context-Enriched Intelligence Platform in Smart Cities
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.
Authors
- Phuc Truong Loc Nguyen (ORCID: https://orcid.org/0000-0002-9423-7935)
- Mónica Wachowicz (ORCID: https://orcid.org/0000-0002-4659-0101)
- Hung Cao (ORCID: https://orcid.org/0000-0002-0788-4377)
- Truong Thanh Hung Nguyen (ORCID: https://orcid.org/0000-0002-6750-9536)
Institutions
- University of New Brunswick (CA)
- RMIT University (AU)
Publication Details
- Published
- 2024-11-03
- DOI
- https://doi.org/10.1109/icce-asia63397.2024.10774046
- Citations
- 2
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.50