AI- Powered Public Safety Monitoring System

Abstract: Public safety has become an important concern in modern society due to increasing crime rates and emergency situations. Traditional surveillance systems require continuous human monitoring, which can lead to errors and delayed responses. This paper proposes an AI Powered Public Safety Monitoring System that uses Artificial Intelligence, Machine Learning, and Computer Vision for real-time monitoring and threat detection. The system can identify suspicious activities, detect abnormal behavior, monitor crowded areas, and send instant alerts to authorities. It also supports features such as facial recognition, motion detection, and cloud-based data storage for secure monitoring. The proposed system helps improve security, reduce manual effort, and provide faster response during emergencies in public places and smart city environments.

Keywords: Artificial Intelligence, Public Safety, Computer Vision, Machine Learning, Smart Surveillance, Real- Time Monitoring•