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Development of a Smart City Digital Ecosystem with Real-Time Data Visualization and AR Features
  1. case
  2. Development of a Smart City Digital Ecosystem with Real-Time Data Visualization and AR Features

Development of a Smart City Digital Ecosystem with Real-Time Data Visualization and AR Features

opinov8.com
Government
Urban Planning
Public Services
Technology

Identifying Challenges in Urban Sustainability and Citizen Engagement

The client faces difficulties in fostering collaboration among stakeholders, monitoring urban activity in real-time, and providing engaging information about city developments. Existing systems lack integration, scalability, and interactivity, limiting the effectiveness of smart city initiatives and citizen participation.

About the Client

A metropolitan government agency seeking to enhance urban sustainability, citizen engagement, and smart city initiatives through innovative digital platforms.

Goals for Developing a Scalable and Interactive Smart City Platform

  • Create a scalable digital platform enabling collaboration among government, businesses, and citizens to promote urban sustainability.
  • Implement real-time data visualization dashboards to monitor city activity, crowds, and safety metrics.
  • Develop native mobile applications with augmented reality (AR) capabilities for interactive exploration of urban development projects.
  • Ensure system flexibility, security, and scalability through microservices architecture and AI-driven data processing.
  • Enhance public engagement and transparency through real-time, interactive city information tools.

Core Functionalities for the Smart City Digital Ecosystem

  • User engagement interface with customizable features for different stakeholder roles.
  • A real-time dashboard visualizing crowds, movement patterns, and safety metrics using anonymous data from city sensors and cameras.
  • Native iOS and Android mobile applications integrated with augmented reality (AR) features to explore upcoming urban developments, infrastructure projects, and city planning initiatives.
  • A modular, microservices-based backend architecture supporting scalability, security, and flexible deployment.
  • Data collection and analysis modules leveraging open-source AI solutions for monitoring urban activity and generating insights.
  • APIs for integration with existing city databases, sensor networks, and third-party analytics tools.

Recommended Technologies for Building the Smart City Platform

Microservices architecture for modularity and scalability
Serverless backend platforms (e.g., Firebase or equivalent)
Mobile development: Swift for iOS, Kotlin for Android
AR SDKs such as Vuforia or equivalent for augmented reality features
Open-source AI and data processing tools for analytics
Real-time data visualization tools and dashboards

Essential External System Integrations

  • City sensor and camera networks for crowd and movement data
  • City GIS and urban planning databases
  • Third-party AI and analytics services
  • Existing city event and project management systems
  • Notification and communication platforms for stakeholder alerts

Critical Non-Functional Requirements

  • System scalability to support growth to 10,000+ stakeholders and data points
  • Real-time data processing with minimal latency (under 2 seconds delay for key dashboards)
  • High security standards to protect data privacy and prevent unauthorized access
  • Robust system availability with 99.9% uptime
  • Cross-platform responsiveness for mobile applications with AR capabilities

Projected Business Outcomes of the Smart City Digital Ecosystem

The implementation of this digital platform is projected to significantly improve urban monitoring and citizen engagement, leading to enhanced city sustainability and safety. The real-time dashboards and AR features will foster transparency, attract innovation interest, and support data-driven urban planning. The project aims to support a scalable system capable of handling thousands of stakeholders and data sources, ultimately strengthening the city's position as a leading model for smart urban governance.

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