Automated Fire Detection System for Homes

Autores/as

  • 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

Palabras clave:

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

Resumen

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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Publicado

2026-07-27

Número

Sección

Articles

Licencia

Licencia Creative Commons

Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.

LACCEI conserva el copyright de todos los artículos publicados bajo los términos de su acuerdo de transferencia de copyright. Como titular del copyright, LACCEI distribuye los artículos al público bajo la Licencia Internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0 (CC BY-NC-SA 4.0).

Cómo citar

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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