AI Powered Surveillance System for Threat and Anomaly Detection Using CNN and Realgan

Abstract

The AI Powered Surveillance System is designed to automate and enhance the detection of security threats and behavioral anomalies in real-time. The system is developed using a deep learning pipeline featuring RealGAN for high-fidelity image enhancement and CNN for robust object classification. It provides a centralized platform for monitoring live camera feeds, identifying weapons, and detecting unauthorized intrusions efficiently. Security administrators can access real-time dashboards to view processed data, improving response times and threat mitigation. The integration of RealGAN allows the system to operate effectively in low-light or low-resolution environments by enhancing visual clarity. The system reduces the burden of manual monitoring, minimizes human oversight, and ensures constant vigilance. Additionally, it ensures data integrity through secure logging and a role-based access control dashboard, making the security infrastructure reliable and user-friendly.