Smart Box System for Intelligent Occupancy Detection and Fire Safety Automation in Rental Properties

This study describes the design and implementation of a Smart Box System that autonomously detects guest occupancy in rental units and automatically triggers fire-safety measures. It leverages IoT tools to ease the challenge of monitoring occupied units remotely. Throughout the system, motion sensors detect real-time activities, and fire detectors transmit early warning signals the moment smoke or heat is sensed. ESP32 boards manage the sensors together, while MQTT carries the measurements to a cloud server. Consequently, a single web dashboard provides owners with clear updates on occupancy and any unusual temperature readings, thereby lessening the need for property visits. Similarly, the presence of guests, risks, and hazards can be monitored briefly. This solution was installed in short-term rentals across Biel, Crosswinds, Tagaytay, Philippines. Guest presence was detected with an accuracy of more than 95%, whereas fire alerts reached smartphones in less than 20 seconds. Owners reported fewer onsite visits of 40%, proving the system streamlines daily duties without compromising safety for guests. The research adds real value to property owners by demonstrating how IoT devices paired with cloud services allow owners to monitor rental activities in real-time, ensure guest safety, and run daily operations more efficiently.

Authors

Publication Details

Journal
International journal of research and scientific innovation
Published
2025-01-01
DOI
https://doi.org/10.51244/ijrsi.2025.120600174
Primary Topic
Fire Detection and Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Box System for Intelligent Occupancy Detection and Fire Safety Automation in Rental Properties

Michael Joseph R. Pelaez, Aristotle F. Musni
International journal of research and scientific innovation
Fire Detection and Safety Systems
article

Smart Box System for Intelligent Occupancy Detection and Fire Safety Automation in Rental Properties

Michael Joseph R. Pelaez, Aristotle F. Musni
article en

Abstract

This study describes the design and implementation of a Smart Box System that autonomously detects guest occupancy in rental units and automatically triggers fire-safety measures. It leverages IoT tools to ease the challenge of monitoring occupied units remotely. Throughout the system, motion sensors detect real-time activities, and fire detectors transmit early warning signals the moment smoke or heat is sensed. ESP32 boards manage the sensors together, while MQTT carries the measurements to a cloud server. Consequently, a single web dashboard provides owners with clear updates on occupancy and any unusual temperature readings, thereby lessening the need for property visits. Similarly, the presence of guests, risks, and hazards can be monitored briefly. This solution was installed in short-term rentals across Biel, Crosswinds, Tagaytay, Philippines. Guest presence was detected with an accuracy of more than 95%, whereas fire alerts reached smartphones in less than 20 seconds. Owners reported fewer onsite visits of 40%, proving the system streamlines daily duties without compromising safety for guests. The research adds real value to property owners by demonstrating how IoT devices paired with cloud services allow owners to monitor rental activities in real-time, ensure guest safety, and run daily operations more efficiently.

International journal of research and scientific innovationVol. XII(VI)
Openalex Percentile: Top 78%
Fire Detection and Safety Systems
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Smart Box System for Intelligent Occupancy Detection and Fire Safety Automation in Rental Properties — Michael Joseph R. Pelaez, Aristotle F. Musni · International journal of research and scientific innovation (2025) | TGRS Research Map | TGRS