MACeIP: A Multimodal Ambient Context-enriched Intelligence Platform in Smart Cities
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914955320623104 |
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| author | Nguyen, Truong Thanh Hung Nguyen, Phuc Truong Loc Wachowicz, Monica Cao, Hung |
| author_facet | Nguyen, Truong Thanh Hung Nguyen, Phuc Truong Loc Wachowicz, Monica Cao, Hung |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_15243 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | MACeIP: A Multimodal Ambient Context-enriched Intelligence Platform in Smart Cities Nguyen, Truong Thanh Hung Nguyen, Phuc Truong Loc Wachowicz, Monica Cao, Hung Artificial Intelligence Emerging Technologies Human-Computer Interaction 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. |
| title | MACeIP: A Multimodal Ambient Context-enriched Intelligence Platform in Smart Cities |
| topic | Artificial Intelligence Emerging Technologies Human-Computer Interaction |
| url | https://arxiv.org/abs/2409.15243 |