AI Security Monitoring System
AI-powered security system for smart city project with real-time facial recognition and behavior analysis
Project Overview
A core security project for smart city development, utilizing AI technology to enable intelligent monitoring of urban public areas. The system needed to process massive video streams for real-time facial recognition, behavior analysis, and anomaly detection, providing intelligent security protection for the city.
Challenge
Processing massive video streams for real-time facial recognition, behavior analysis, and anomaly detection with high accuracy and response speed requirements. Traditional solutions couldn't meet real-time requirements and had high hardware costs.
Solution
Edge computing + cloud collaboration architecture, with preliminary analysis on edge devices and deep learning inference on cloud. Developed lightweight AI models optimized for inference performance, significantly reducing edge device requirements.
Results
System covers 5000+ cameras, facial recognition accuracy of 99.5%, anomaly detection response time under 3 seconds.
Project Scope
Tech Stack
“Since the system went live, city security management efficiency has improved significantly. The intelligent early warning function has successfully prevented multiple security incidents.”
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