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El Internet de las cosas (IoT) ha transformado la seguridad doméstica al permitir sistemas automatizados de supervisión y control a distancia. Este estudio presenta un prototipo de valla inteligente basada en el IoT que utiliza el microcontrolador NodeMCU ESP32 y la aplicación Blynk para proporcionar un funcionamiento seguro y eficiente de las puertas a distancia. El sistema permite a los usuarios abrir, cerrar y bloquear puertas de forma remota a través de dispositivos móviles, superando así las limitaciones de los métodos manuales tradicionales. Entre los componentes principales se incluyen sensores ultrasónicos para la detección de obstáculos en tiempo real, relés y motores, todos ellos integrados en un robusto marco de hardware y software. Las pruebas revelaron respuestas consistentes del sistema en menos de dos segundos en condiciones de red estables, con una detección precisa de obstáculos que garantiza el mantenimiento de la zona de seguridad. A pesar de los retos que plantea la estabilidad de la red, el sistema resulta práctico, fácil de usar y escalable para aplicaciones de seguridad residencial. Las mejoras futuras podrían incorporar opciones de conectividad dual para aumentar la resiliencia de la red y una calibración avanzada de los sensores para mejorar la fiabilidad en diversos entornos. Este prototipo, de buena relación calidad-precio, demuestra un potencial significativo para las modernas aplicaciones de seguridad en el hogar inteligente y para futuros avances.
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Author Contributions
Fadhilah Putri Syahrani: Conceptualization, Methodology, Investigation, Formal Analysis, Data Curation, Software, Writing - Original Draft, Writing - Review & Editing. Hadi Kurnia Saputra: Validation, Supervision, Writing - Review & Editing. Sartika Anori: Validation, Supervision, Writing - Review & Editing. Winda Agustiarmi: Validation, Supervision, Writing - Review & Editing. Firas Tayseer Ayasrah: Validation, Writing - Review & Editing. Pham Van Thanh: Writing - Review & Editing. All authors have reviewed and approved the final version of this manuscript.
Acknowledgments
The authors would like to express their sincere gratitude to all individuals and institutions who provided invaluable support and resources throughout the research process.
View statement in PDF · PDF page 12Ethics Approval
This study did not involve human or animal participants; therefore, ethical approval was not required.
View statement in PDF · PDF page 12Conflictos de Intereses
The authors declare that they have no competing interests.
View statement in PDF · PDF page 12Financiación
This research received no external funding.
View statement in PDF · PDF page 12Generative AI Disclosure
While preparing this manuscript, the author(s) used ChatGPT and Grammarly to enhance its readability, language, and overall structure. Following these tools, the author(s) performed a comprehensive review and editing process to ensure the content’s accuracy, integrity, and quality. The author(s) accept full responsibility for the content and conclusions presented in this publication.
View statement in PDF · PDF page 12Citas
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Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Derechos de autor 2025 Fadhilah Putri Syahrani, Hadi Kurnia Saputra, Sartika Anori, Winda Agustiarmi, Firas Tayseer Ayasrah, Pham Van Thanh