Automated Fire Detection System for Homes

Authors

  • Rodrigo Ramos-Aparicio Universidad Católica Santa María - (PE), Perú
  • Claudia Cárdenas-Quispe Universidad Católica Santa María - (PE), Perú
  • Anthony Machaca-Orosco Universidad Católica Santa María - (PE), Perú
  • Ivan Reaño-Soto Universidad Católica Santa María - (PE), Perú
  • Paola Meza-Gomez Universidad Católica Santa María - (PE), Perú
  • Carla Cuya-Zevallos Universidad Católica Santa María - (PE), Perú
  • Elizabeth Susan Mamani-Machaca Universidad Católica Santa María - (PE), Perú

DOI:

https://doi.org/10.18687/LACCEI2026.1.1.2226

Keywords:

IoT, Fire detection, ESP32, Gas sensor, Home automation

Abstract

One of the main risks in homes is fire, which can be caused by gas leaks, electrical faults, or unattended appliances. In response to this, we propose a smart fire detection and alert system for homes in Arequipa. The system integrates temperature, gas, and motion sensors with an ESP32 electronic board to monitor environmental variables in real time. When a risk is detected, it activates visual and audible alarms and sends immediate alerts to the user's smartphone via Wi-Fi. The alerts include real-time information about the detected hazard, allowing for quick action even when no one is home. The system also offers scalability and affordability, making it ideal for local homes. In this research, a survey was conducted, in which 77.1% said they had faced dangerous situations in the kitchen, although without a fire breaking out. Likewise, 68.6% consider it very important to have a safety system, and the most common causes of incidents are related to a lack of supervision when cooking. These results support the relevance of the proposed system and reflect a real need.

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Published

2026-07-27

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

LACCEI retains copyright of all published articles under the terms of its copyright transfer agreement. As the copyright holder, LACCEI distributes the articles to the public under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).

How to Cite

Ramos-Aparicio, R., Cárdenas-Quispe, C., Machaca-Orosco, A., Reaño-Soto, I., Meza-Gomez, P., Cuya-Zevallos, C., & Mamani-Machaca, E. S. (2026). Automated Fire Detection System for Homes. LACCEI, 1(14). https://doi.org/10.18687/LACCEI2026.1.1.2226

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