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Abstract
The Internet of Things (IoT) has transformed home security by enabling automated remote monitoring and control systems. This study presents an IoT-enabled smart fence prototype that utilizes the NodeMCU ESP32 microcontroller and the Blynk application to provide secure, efficient remote gate operations. The system allows users to remotely open, close, and lock gates via mobile devices, addressing the limitations of traditional manual methods. Core components include ultrasonic sensors for real-time obstacle detection, relays, and motors, all integrated into a robust hardware-software framework. Testing revealed consistent system responses within two seconds under stable network conditions, with accurate obstacle detection ensuring the safety zone is maintained. Despite network stability challenges, the system is practical, user-friendly, and scalable for residential security applications. Future improvements could incorporate dual connectivity options to enhance network resilience and advanced sensor calibration to improve reliability across varied environments. This cost-effective prototype demonstrates significant potential for modern smart home security applications and future advancements.
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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 12Competing Interests
The authors declare that they have no competing interests.
View statement in PDF · PDF page 12Funding
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 12References
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This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright (c) 2025 Fadhilah Putri Syahrani, Hadi Kurnia Saputra, Sartika Anori, Winda Agustiarmi, Firas Tayseer Ayasrah, Pham Van Thanh