Iot-Based Automated Security Architecture With Real-Time Detection, Comparative Performance Analysis, and Mobile Alerts for Institutional Asset Protection

Abstract

Security systems have rapidly evolved with the rise of the Internet of Things (IoT), sensor technologies, and mobile computing. This study presents the design, development, and evaluation of an IoT-powered automated security architecture intended for modern establishments. The system integrates motion detection, real-time video monitoring, mobile alerts, and automated alarm responses to enhance security readiness and reduce risks associated with theft, intrusion, and unauthorized access. Using an IoT microcontroller as the core processor, the system collects sensor data, triggers automated alarms, and sends mobile notifications when abnormal activity is detected. A mobile application enables remote activation, monitoring, and video retrieval through cloud storage. Results show that the system achieved a “Very Highly Acceptable” overall rating (mean = 4.60/5.00) in safety, motion accuracy, alarm responsiveness, and notification reliability, outperforming traditional CCTV in detection accuracy and notification speed. While the system proved effective, limitations such as reliance on stable power and network connectivity were identified. Future work will focus on enhancing scalability, integrating advanced analytics, and strengthening data privacy measures. The findings demonstrate that IoT-driven integrated security systems can effectively strengthen establishment protection, increase situational awareness, and support rapid response during potential security breaches.