Window Intrusion Detection System using a Magnetic Switch Sensor Based on the Internet of Things with Blynk

The increasing number of burglary incidents has encouraged the development of smart security systems capable of providing real-time monitoring and alerts. Conventional security systems are generally limited to local alarms and do not provide remote access for users. This research proposes an Internet of Things (IoT)-based window intrusion security system utilizing ESP32-CAM, magnetic switch sensors, buzzer alarms, LED indicators, and the Blynk platform. The magnetic switch sensor detects the open or closed state of the window, while ESP32-CAM functions as the main controller and provides live video streaming. The Blynk platform enables users to monitor the system remotely through smartphones and receive intrusion notifications in real time. Experimental results show that the system successfully detects window status changes, activates alarms when unauthorized access is detected, sends notifications through Blynk, and provides live video streaming with stable performance. The proposed system offers a low-cost and efficient solution for enhancing building security through IoT technology.

Authors

Publication Details

Journal
Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Published
2026-10-30
DOI
https://doi.org/10.59934/jaiea.v6i1.3054
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Window Intrusion Detection System using a Magnetic Switch Sensor Based on the Internet of Things with Blynk

Milli Alfhi Syari, Husnul Khair, Sonia Kerenina Br Purba
3 links
Journal of Artificial Intelligence and Engineering Applications (JAIEA)
IoT-based Smart Home Systems
article

Window Intrusion Detection System using a Magnetic Switch Sensor Based on the Internet of Things with Blynk

Milli Alfhi Syari, Husnul Khair, Sonia Kerenina Br Purba
article en

Abstract

The increasing number of burglary incidents has encouraged the development of smart security systems capable of providing real-time monitoring and alerts. Conventional security systems are generally limited to local alarms and do not provide remote access for users. This research proposes an Internet of Things (IoT)-based window intrusion security system utilizing ESP32-CAM, magnetic switch sensors, buzzer alarms, LED indicators, and the Blynk platform. The magnetic switch sensor detects the open or closed state of the window, while ESP32-CAM functions as the main controller and provides live video streaming. The Blynk platform enables users to monitor the system remotely through smartphones and receive intrusion notifications in real time. Experimental results show that the system successfully detects window status changes, activates alarms when unauthorized access is detected, sends notifications through Blynk, and provides live video streaming with stable performance. The proposed system offers a low-cost and efficient solution for enhancing building security through IoT technology.

Journal of Artificial Intelligence and Engineering Applications (JAIEA)Vol. 6(1)
Openalex Percentile: Top 24%
IoT-based Smart Home Systems
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Window Intrusion Detection System using a Magnetic Switch Sensor Based on the Internet of Things with Blynk — Milli Alfhi Syari, Husnul Khair, et al. · Journal of Artificial Intelligence and Engineering Applications (JAIEA) (2026) | TGRS Research Map | TGRS