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International Journal of Advanced Engineering Application

ISSN: 3048-6807

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Self-Aiming Auto Turrent Against Poachers for Wildlife Sancturies- Using Iot and Computer Vision

Author(s):Nallamothu Madhuri1, Dr.Koneru Sowmya2, Saggurthi Bhavyasri3,Yalamanchili Pranavi4,Kondisetti Durga Krishna5,Avula Tirumala Gopi6

Affiliation: 1,2,3,4,5,6Computer Science Engineering/JNTUK/Dhanekula Institute of engineering and technology/India

Page No: 51-56

Volume issue & Publishing Year: Volume 2 Issue 4,April-2025

Journal: International Journal of Advanced Engineering Application (IJAEA)

ISSN NO: 3048-6807

DOI: https://doi.org/10.5281/zenodo.17659432

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Abstract:
This project introduces a wildlife protection by detecting and defensing poachers in real time in a novel turrent system. Using IoT and computer vision technologies, the system integrates high-resolution cameras and the Haar Cascade algorithm to accurately distinguish between humans and animals, significantly enhancing detection precision. Compared to this infill systems, which focuses on animal tracking and species identification using IoT sensors and the Random Forest algorithm, this project expands on real-time protection by incorporating immediate response mechanisms. While the base paper's system excels at monitoring and classifying animal behavior, it lacks direct countermeasures against poachers. Proposed system fills this gap by utilizing embedded platforms like Arduino and Raspberry Pi to control the turret’s movements and fire non-lethal rounds, temporarily incapacitating intruders without causing permanent harm. Unlike systems that rely solely on species monitoring, this project offers a proactive, scalable solution for wildlife conservation, ensuring continuous protection across varying environmental conditions, day or night. The system’s integration of real-time image recognition and automated deterrence establishes it as a more comprehensive approach to combating poaching

Keywords: Animal Conservation, Arduino, autonomous system, computer vision.

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