MACeIP: A Multimodal Ambient Context-enriched Intelligence Platform in Smart Cities
Nguyen, Truong Thanh Hung, Nguyen, Phuc Truong Loc, Wachowicz, Monica, Cao, Hung
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Sep-23-2024
- Country:
- North America > Canada > New Brunswick > York County > Fredericton (0.26)
- Genre:
- Research Report (0.40)
- Industry:
- Information Technology > Security & Privacy (1.00)
- Technology:
- Information Technology
- Artificial Intelligence
- Machine Learning > Neural Networks
- Deep Learning (0.48)
- Natural Language > Large Language Model (0.49)
- Vision (0.70)
- Machine Learning > Neural Networks
- Cloud Computing (1.00)
- Communications > Networks
- Sensor Networks (0.35)
- Data Science > Data Mining (0.94)
- Internet of Things (1.00)
- Security & Privacy (1.00)
- Artificial Intelligence
- Information Technology