Usha, V. and Karagatla, Sandeep and Gowr, P. Sheela and Jegathambal, P.M.G and Lizy, A. and Sathya, V. (2025) Real-Time GPS Tracking and Health Monitoring for Animals Using IoT and Mobile Application. In: 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS), Prawet, Thailand.
Full text not available from this repository. (Request a copy)Abstract
The Internet of Things (IoT) grounded solution of Real Time Global Positioning System (GPS) tracking with Health Monitoring of Animals for Owners to track their animals like cows, buffaloes, dogs etc. This GPS module and a heartbeat sensor are attached to the animals in order to be able to follow them closely. This data is sent to a mobile app, and the owner can see their heart on the map as well as monitor its pulse. Based on analysis of such heart rate variations, the system determines when it is seeing an abnormal activity related to e.g. stress (increased heart rate) or potential health risks (no sign of a heartbeat), which could be interpreted as fear or death. Each animal has an initial heart rate level that is set, and when this rate exceeds it, the system sounds an alert to indicate danger. This method is especially helpful for keeping an eye on animals in urban areas, areas close to forests, and areas with high rates of theft and loss. The project demonstrates the successful execution of a reliable, real-time animal monitoring system with practical applications in both urban and rural environments.
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | Computer Science Engineering > Cloud Computing |
Domains: | Computer Science Engineering |
Depositing User: | Mr IR Admin |
Date Deposited: | 20 Aug 2025 10:00 |
Last Modified: | 20 Aug 2025 10:00 |
URI: | https://ir.vistas.ac.in/id/eprint/10119 |