RESEARCH AND TRACKING OF STRAY DOGS USING IOT AND RFID TECHNOLOGY

Authors

  • C. Sanjeev Kannan Assistant Professor, Department of Computer Science, Alagappa University, Karaikudi, Tamil Nadu, India
  • Sundar Santhosh Kumar Research Scholar, Department of Computer Science, Alagappa University, Karaikudi, Tamil Nadu, India

DOI:

https://doi.org/10.29121/shodhai.v3.i1.2026.76

Keywords:

IoT-Based Monitoring, RFID, GPS Tracking, Real-Time Reporting, Urban Stray Management

Abstract

Stray dog overpopulation has become an increasingly urgent concern, especially in densely populated urban centers as well as in less regulated rural areas. If left unchecked, the proliferation of stray dog populations can result in a whole range of problems, from dog bite cases to the spread of zoonotic diseases like rabies, and even damage to local ecosystems, apart from concerns about animal cruelty and neglect. While many government and non-government organizations are working tirelessly to address these problems through sterilization, vaccination, and rescue efforts, their efforts are often piecemeal and reactive. One of the key areas where there is a clear gap is the lack of a technology-driven platform that allows for real-time reporting, tracking, and monitoring of stray dog populations. This lack of a structured approach results in wasteful efforts and missed opportunities for intervention. It is in this context that the current project seeks to address the need for a comprehensive and technology-driven solution that leverages a web-based interface, real-time GPS tracking, and RFID-based identification to better manage stray dog populations. With this approach, it becomes possible not only to address citizen reports more effectively but also to tap into a rich source of data that can be used for planning interventions that are preventive and welfare-oriented.

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Published

2026-04-09

How to Cite

Kannan, C. S., & Kumar, S. S. (2026). RESEARCH AND TRACKING OF STRAY DOGS USING IOT AND RFID TECHNOLOGY. ShodhAI: Journal of Artificial Intelligence, 3(1), 43–52. https://doi.org/10.29121/shodhai.v3.i1.2026.76