Deepguard: An Intelligent Framework For Violence Detection In Smart Cities

Abstract

DeepGuard is an intelligent violence detection system designed to enhance public safety in smart city environments using advanced Artificial Intelligence and deep learning techniques. With the increasing need for real-time surveillance in urban areas, traditional monitoring systems are insufficient to quickly identify violent or suspicious activities. The proposed system utilizes computer vision and deep neural networks to analyze live CCTV or video feeds and automatically detect violent behavior such as fights, assaults, or abnormal crowd activities. Once a violent event is detected, the system immediately generates alerts and notifies control rooms or law enforcement authorities for rapid response. By integrating deep learning models with smart surveillance infrastructure, DeepGuard aims to reduce response time, improve public security, and support proactive crime prevention in smart cities.