Hydro Guard: Strengthening Public Safety Through Advanced Detection And Notification

Abstract: Ensuring public safety has become a major concern with growing urbanization. Traditional manual monitoring of surveillance cameras is inefficient and prone to human error, leading to delayed responses in critical situations. This paper presents an AI-based system for the real-time detection of violence and weapons from video streams. The proposed system utilizes YOLOv8 for accurate weapon detection and a Transformer model to analyze temporal patterns for violence detection. By integrating feature fusion, the system reduces false alarms and automatically generates alerts for immediate security response. This solution offers a scalable and efficient approach to automated public surveillance.

Keywords: Public Safety, AI-Based Surveillance, YOLOv8, Transformer Model, Weapon Detection, Violence Detection, Deep Learning, Real-Time Monitoring.