A Continuous High Security System Indefence Applications Using ESP32-CAM

The IoT-Based Smart Anti-Theft Security System is an advanced security solution designed to project homes and valuable assets using real-time monitoring and instant alerts.This report presents an integrated security and remote control system built around the ESP32-CAM module.The system combines real-time video streaming, motion detection via a PIR sensor, automated image capture, and email alert functionality, all managed through a web-based interface.Key hardware components-including the ESP32-CAM, PIR sensor, relay, and LED flash-work in tandem with a modular firmware designed using the Arduino framework.This firmware not only handles live video streaming and sensor monitoring but also processes remote commands, ensuring responsive control over connected devices.Extensive system testing demonstrates the capability to detect intrusions, capture and store images reliably, and dispatch prompt email notifications, all while overcoming challenges related to resource constraints, power management, and network reliability.Overall, the project underscores the potential of IoT and edge computing technologies in delivering cost-effective and scalable security solutions for both residential and commercial applications.

Publication Details

Journal
Journal on Electronic and Automation Engineering
Published
2025-04-19
DOI
https://doi.org/10.46632/jeae/4/2/6
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

A Continuous High Security System Indefence Applications Using ESP32-CAM

Journal on Electronic and Automation Engineering
IoT-based Smart Home Systems
article

A Continuous High Security System Indefence Applications Using ESP32-CAM

article en

Abstract

The IoT-Based Smart Anti-Theft Security System is an advanced security solution designed to project homes and valuable assets using real-time monitoring and instant alerts.This report presents an integrated security and remote control system built around the ESP32-CAM module.The system combines real-time video streaming, motion detection via a PIR sensor, automated image capture, and email alert functionality, all managed through a web-based interface.Key hardware components-including the ESP32-CAM, PIR sensor, relay, and LED flash-work in tandem with a modular firmware designed using the Arduino framework.This firmware not only handles live video streaming and sensor monitoring but also processes remote commands, ensuring responsive control over connected devices.Extensive system testing demonstrates the capability to detect intrusions, capture and store images reliably, and dispatch prompt email notifications, all while overcoming challenges related to resource constraints, power management, and network reliability.Overall, the project underscores the potential of IoT and edge computing technologies in delivering cost-effective and scalable security solutions for both residential and commercial applications.

Journal on Electronic and Automation EngineeringVol. 4(2 June 2025)
Openalex Percentile: Top 94%
IoT-based Smart Home Systems
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