Abstract

Clinical methods for tracking animal health are inadequate as they only include intermittent data which entail too much time and veterinarian knowledge expenditure in equipment. The animal health monitoring system which allocates equipment to be installed on the animal body does provide way of keeping the health of the animal in check. This project seeks to solve the problem of integration in system developed. Also, monitoring of psychological parameters has to be consistent (precision), accuracy and the response time of the system has to be low for a real time monitoring system. The project seeks to achieve a level of accuracy and precision to help diagnose the health situation of the animal. The system consists of two sensors (a temperature sensor, a heart rate sensor). For the implementation of the temperature node, esp 32 which has wifi capability was used while in the case of heart rate, Arduino Nano was interfaced alongside with esp32. The sensor nodes communicate with the sink node which serves as the display unit and also transmit the data to the cloud for real time monitoring. The precision and accuracy achieved by the ECG, modularity built into the system and the deep sleep energy-saving mechanism of the sensor nodes are achievement made by this work.

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