Authors : O. B. Goodtalk; U. Yuguda; E. U. Asanga; A. Ogohi; O. B. Musa

Volume/Issue : Volume 11 - 2026, Issue 5 - May

Google Scholar : https://tinyurl.com/yu8bc7pc

Scribd : https://tinyurl.com/ypvvzw4j

DOI : https://doi.org/10.38124/ijisrt/26May519

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : This paper presents the design and implementation of an IoT-based intelligent surveillance system with real-time motion detection and cloud-based monitoring. The proposed system integrates an ESP32-CAM module as the core processing and imaging unit, a Passive Infrared (PIR) sensor for motion detection, and a SIM800C GSM module for reliable alert notification. Upon detecting motion, the system captures images and transmits them via Wi-Fi to a cloud server for real-time storage and remote access. In addition, the GSM module provides SMS-based alerts as a fallback communication mechanism in areas with limited internet connectivity. A web-based platform developed using PHP and MySQL enables users to monitor surveillance data, view captured images, and manages system activity remotely via web or mobile interfaces. Experimental evaluation demonstrates that the system achieves low latency, high detection accuracy, and reliable data transmission under varying network conditions. The proposed solution is cost-effective, scalable, and suitable for deployment in residential, industrial, and remote environments.

Keywords : IoT, Intelligent Surveillance, ESP32-CAM, PIR Sensor, SIM800C, Motion Detection, Cloud Monitoring, Real-Time Systems, Smart Security, Embedded Systems.

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