© 2026 Raymond Valdepeñas. All rights reserved.

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Research & Publications

Raymond M. Valdepeñas (ORCID 0009-0008-8680-3694) is the lead author of one peer-reviewed publication, listed in full below. It is published by Springer, Cham and identified permanently by DOI 10.1007/978-3-032-06634-3_6.

This is his only peer-reviewed publication to date. Any other paper attributed to this name is by a different author.

My.BoardHub: Development of a Single-Board Computer-Based Security System Using Artificial Intelligence of Things for Boarding Houses

Authors
Raymond M. Valdepeñas, Marie Glo C. Generalao, Selena B. Suario, Apple Rose B. Alce, Paul Rodolf P. Castor, Jomari Francis B. Villanueva, Leah A. Alindayo, Ernesto E. Empig
Published in
Novel and Intelligent Digital Systems: Proceedings of the 5th International Conference (NiDS 2025)
Conference
NiDS 2025 — 5th International Conference on Novel and Intelligent Digital Systems
Publisher
Springer, Cham
Pages
59–70
Published
3 October 2025
DOI
10.1007/978-3-032-06634-3_6

Abstract

Boarding houses near universities in the Philippines face growing security challenges inadequately met by traditional methods. This study details the development, short implementation, and technical performance evaluation of my.BoardHub, a prototype Artificial Intelligence of Things (AIoT) system designed to enhance safety through facial recognition. The system utilizes a Raspberry Pi 5 edge device, Multi-Task Cascaded Convolutional Networks (MTCNN) for real-time face detection, and a fine-tuned Inception-ResNet-V1 model for facial recognition. Development followed a layered architecture and Rapid Application Development (RAD) methodology. During a pilot deployment, technical performance was evaluated via system logs, hardware stress tests, network latency measurements, and AI model benchmarks. The system achieved a high technical accuracy (90.88% face detection accuracy; 94.28% facial recognition F1-score) and a near real-time processing with an average of 7.6 FPS at 480p. Network performance met responsiveness targets. Ethical considerations were addressed through informed consent, technical data anonymization, and implemented security measures, although moderate user privacy concerns persisted, highlighting the need for clearer data-handling communication and governance. my.BoardHub demonstrates the technical feasibility of deploying edge AIoT for enhanced boarding house security. Future work should prioritize edge optimization, adaptive algorithms, privacy-preserving techniques, and longer-term technical evaluations.

Keywords

  • AIoT
  • Security Systems
  • Boarding Houses
  • Facial Recognition
  • MTCNN
  • Inception-ResNet
  • Edge Computing
  • Raspberry Pi
Read on SpringerLink

Indexed in

  • SpringerLink
  • ORCID
  • DBLP
  • Semantic Scholar
  • OpenAlex

Cite this work

Valdepeñas, R. M., Generalao, M. G. C., Suario, S. B., Alce, A. R. B., Castor, P. R. P., Villanueva, J. F. B., Alindayo, L. A., & Empig, E. E. (2025). My.BoardHub: Development of a Single-Board Computer-Based Security System Using Artificial Intelligence of Things for Boarding Houses. In Novel and Intelligent Digital Systems: Proceedings of the 5th International Conference (NiDS 2025) (pp. 59–70). Springer, Cham. https://doi.org/10.1007/978-3-032-06634-3_6

@inproceedings{valdepenas2025myboardhub,
  author    = {Valdepe\~{n}as, Raymond M. and Generalao, Marie Glo C. and
               Suario, Selena B. and Alce, Apple Rose B. and
               Castor, Paul Rodolf P. and Villanueva, Jomari Francis B. and
               Alindayo, Leah A. and Empig, Ernesto E.},
  title     = {{My.BoardHub}: Development of a Single-Board Computer-Based
               Security System Using Artificial Intelligence of Things
               for Boarding Houses},
  booktitle = {Novel and Intelligent Digital Systems: Proceedings of the
               5th International Conference (NiDS 2025)},
  publisher = {Springer, Cham},
  pages     = {59--70},
  year      = {2025},
  doi       = {10.1007/978-3-032-06634-3_6}
}