Project Background
With the rapid pace of urbanization, town management has become increasingly complex. To enhance administrative efficiency and ensure public safety, the adoption of advanced technologies has become a necessary trend. This project aims to provide Ma’an Town with a comprehensive Urban Management Decision Support System by leveraging intelligent video surveillance and AI recognition technologies.
Project Objectives
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Fire and Smoke Detection: Automatically identify and issue alerts for illegal use of fireworks or open flames to prevent potential fire hazards.
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Vehicle Intrusion Detection: Detect unauthorized vehicle entries, particularly in restricted or sensitive areas.
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Personnel Intrusion Detection: Monitor and alert authorities when unauthorized individuals enter restricted zones.
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Crowd Counting: Track crowd density in public areas to support effective crowd management and emergency response.
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Video Fault Detection: Continuously monitor the operational status of video surveillance equipment to quickly identify and resolve malfunctions.
Technical Implementation
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Intelligent Video Analysis: Utilize deep learning algorithms to perform real-time analysis of surveillance footage.
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Data Integration and Processing: Integrate multi-source data to provide accurate recognition and analytical results.
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Alert and Response Mechanism: Establish an automated alert system for real-time response to abnormal or risky situations.
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User Interface: Provide an intuitive and user-friendly interface that allows government personnel to efficiently monitor and manage urban activities.
Expected Outcomes
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Improve overall town safety management and situational awareness.
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Strengthen emergency response capabilities.
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Optimize resource allocation and enhance operational efficiency.
Conclusion
The Urban Management Decision Support System of Ma’an Town, Yilong County, Nanchong City, Sichuan Province represents an advanced integration of modern technology into urban governance. By combining AI-based video analysis with intelligent management tools, the project significantly enhances safety, efficiency, and administrative quality.
This case exemplifies how smart technology can transform urban management, ensuring both security and operational effectiveness in modern town development.
