Summary of Maceip: a Multimodal Ambient Context-enriched Intelligence Platform in Smart Cities, by Truong Thanh Hung Nguyen et al.
MACeIP: A Multimodal Ambient Context-enriched Intelligence Platform in Smart Cities
by Truong Thanh Hung Nguyen, Phuc Truong Loc Nguyen, Monica Wachowicz, Hung Cao
First submitted to arxiv on: 23 Sep 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Emerging Technologies (cs.ET); Human-Computer Interaction (cs.HC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces MACeIP, a comprehensive platform designed to enhance urban management and citizen engagement in smart cities. By integrating IoT sensors, edge and cloud computing, and multimodal AI, the platform creates an intelligent urban ecosystem with various components, including interactive hubs for citizen interaction, an extensive IoT sensor network, and intelligent public asset management. The prototype is demonstrated in several cities, including Fredericton, New Brunswick. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper makes a smart city better by creating a system that listens to citizens and helps the city make good decisions. It uses many cool technologies like sensors and artificial intelligence to connect people with the city’s services. The platform has lots of useful parts, like places where people can talk to the city and ways for the city to manage its things more efficiently. This is tested in a real city called Fredericton. |
