Journal of Electrical Engineering and Automation
IRO Journals
Volume 7 — Issue 2 — June 2025

Artifact Sentinel: A Real-Time IoT System for Artifact Safety and Conservation

https://doi.org/10.36548/jeea.2025.2.006
Nalayini C. M.
Assistant Professor, Department of Information Technology, Velammal Engineering College, Chennai, India
Shailesh Arunkumar
Department of Information Technology, Velammal Engineering College, Chennai, India
Madesh S.
Department of Information Technology, Velammal Engineering College, Chennai, India
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How to Cite

M., Nalayini C., Shailesh Arunkumar, and Madesh S. 2025. “Artifact Sentinel: A Real-Time IoT System for Artifact Safety and Conservation”. Journal of Electrical Engineering and Automation 7 (2): 163-80. https://doi.org/10.36548/jeea.2025.2.006.
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Keywords

— Artifact protection
— IoT security system
— Motion detection
— Environmental monitoring
— ESP32-CAM
— Real-time alert
— Buzzer alarm
— Intrusion detection
— Smart surveillance
— Temperature and humidity tracking
— Automated monitoring
Published: 18-07-2025

Abstract

As everyone knows, museums are houses for priceless artifacts that need to be preserved at all costs. It is important to note that these artifacts need to be stored in a suitable environment for preservation. The proposed "Deformation Evidence Guard" is an Internet of Things device that provides protection for deformation evidence and ensures that its environmental norms are maintained. Various sensors in this device work together to ensure that desired results are obtained. An alarm beeps, and an immediate alert is issued when movement is detected near an artifact, and an ESP takes a picture of a 32-came intruder. Technology also enables the sensor to continuously monitor temperature and humidity levels, presenting results on an LED display to help preserve as many artifacts as possible. This simple, automated device increases museum protection by reducing the possibility of theft and deterioration through real-time monitoring and environmental tracking. The proposed model using high energy efficiency, the ability to monitor surroundings, motion sensing, and an attached camera, as well as features such as real-time reactions, consistent monitoring, and detailed tracking, making it a novel approach compared to existing.

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