Autonomous Animal Intrusion Detection and Repelling Drone

D Dr.Poonghuzhali A. (Sri Sairam College of Engineering)

Abstract

This work proposes an intelligent and low-cost solution to detect and respond to wild animal intrusions, particularly by elephants, in agricultural regions, addressing significant threats to crops, livelihoods, and human safety. The system utilizes a ground-based detection unit featuring an ESP32-CAM module equipped with Infrared (IR) night vision to continuously monitor the field day and night. Upon detecting an animal, the system sends location information to an autonomous drone which navigates to the spot. The drone is equipped with bright flashing lights and a sound device for effective, non-lethal repelling. Simultaneously, a GSM module (SIM800L) makes an automated phone call alert to the farmer, ensuring immediate awareness even on keypad mobile phones. This affordable, efficient, and reliable IoT-based solution operates with minimal human intervention, aiming to significantly reduce crop damage and increase safety in rural farming communities through real time animal detection and response.

Article Details

Volume / Issue Vol. 12, Issue 12
Published December 19, 2025
Pages 700
Publisher AM Publications

Authors (1)

D

Dr.Poonghuzhali A.

Sri Sairam College of Engineering