Project Overview
Our smart city surveillance network project transforms urban security through intelligent video analytics and real-time monitoring capabilities. The system integrates hundreds of high-definition cameras across strategic locations with advanced AI algorithms for automatic threat detection and incident response.
The network features facial recognition, license plate recognition, and behavioral analysis capabilities. Real-time alerts are sent to control centers and mobile units, enabling rapid response to security incidents. The system also provides valuable data analytics for urban planning and traffic management.
Cloud-based infrastructure ensures scalability and reliability, while edge computing reduces latency for critical real-time applications. The solution includes mobile applications for field officers and web-based dashboards for command center operations.
