CLOUD-ENABLED IOT PRISON SECURITY SYSTEM FOR REAL-TIME BREAK MONITORING

Abstract

The increasing incidence of prison escapes highlights the urgent need for advanced surveillance and monitoring technologies. Conventional security systems are limited by human dependency, restricted monitoring coverage, and delayed response times. This research proposes a Cloud-Enabled IoT Prison Security System that integrates sensor networks, surveillance cameras, and real-time alerting mechanisms to detect, monitor, and prevent prison break attempts. The system leverages Internet of Things (IoT) devices such as motion sensors, biometric access controllers, and RFID-based inmate tracking to provide 24/7 automated monitoring. Cloud-based infrastructure ensures scalable storage, fast processing, and realtime communication with law enforcement agencies. The proposed architecture enhances response time, reduces false alarms, and strengthens security by enabling predictive analytics and anomaly detection. The results demonstrate that IoT-cloud integration provides higher efficiency, cost-effectiveness, and resilience in prison security management compared to conventional systems.