LOCAL GOVERNMENT UNIT 4: BARANGAY PET REGISTRATION FOR ANIMAL WELFARE AND PROTECTION SYSTEM (PET PROFILING, ANIMAL ADOPTION PORTAL, ANIMAL CRUELTY REPORTING, IOT BASED QR-GENERATED TAG, ANIMAL IMAGE RECOGNITION)

Authors

  • Mark Dominique Baril
  • Russel Derramas
  • Wendhil Himarangan
  • Ismael Nick Longcop
  • Ace Felixerp Manganaan
  • Ms. Marifel J. Laynesa

Keywords:

animal welfare, pet registration, responsible pet ownership, ai image recognition, iot tagging, animal adoption, community reporting, agile scrum, barangay system, stray animal management

Abstract

The growing number of animal welfare concerns in local communities highlights the urgent need for an integrated digital solution that promotes responsible pet ownership. Incidents of animal abuse, neglect, and the increasing population of stray or lost animals underscore the necessity for a centralized system. This study introduces the Barangay Pet Registration for Animal Welfare and Protection System, a digital platform designed to address these issues through pet profiling, adoption facilitation, animal cruelty reporting, and smart identification technologies. The system was developed using the Agile Scrum methodology, applying an iterative approach divided into multiple phases. During the Planning Phase, the team identified core system requirements and prioritized community-specific needs. The Design Phase focused on creating intuitive and user-friendly interfaces for ease of access. The Testing Phase involved functionality checks, bug resolution, and revisions based on initial user feedback. Finally, the Evaluation Phase included system deployment, performance assessment, and collection of feedback from barangay officials and target users for future refinement. Post-deployment evaluations by barangay officials confirmed the system’s potential for improving animal welfare efforts. The platform fostered community collaboration and helped reduce incidents of animal abuse and neglect. It also supported efficient tracking and recovery of lost pets, encouraging responsible pet ownership. The AI-powered image recognition feature successfully identified common pet breeds with an average confidence rate exceeding 85%. However, the system showed lower accuracy when recognizing native mixed breeds such as Aspins, indicating the need for further dataset expansion. The integration of pet profiling, IoT-enabled tagging, image recognition, and reporting features significantly enhanced the barangay’s capacity to manage animal welfare. While certain limitations exist, particularly in recognizing mixed breeds, the system remains scalable and impactful. It serves as a foundational model for promoting responsible pet ownership, reducing abuse cases, and empowering communities to actively participate in protecting animal rights.

Published

2026-01-13

How to Cite

LOCAL GOVERNMENT UNIT 4: BARANGAY PET REGISTRATION FOR ANIMAL WELFARE AND PROTECTION SYSTEM (PET PROFILING, ANIMAL ADOPTION PORTAL, ANIMAL CRUELTY REPORTING, IOT BASED QR-GENERATED TAG, ANIMAL IMAGE RECOGNITION). (2026). Ascendens Asia Singapore – Bestlink College of the Philippines Journal of Multidisciplinary Research, 7(1). https://ojs.aaresearchindex.com/index.php/aasgbcpjmra/article/view/15664

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