Author:
Balamurugan S, Aravindhbala S, Aravintharam S N, Ajay M, Gopalakrishnan NPublished in
Journal of Science Technology and Research( Volume 7, Issue 1 )
Page No: 1 - 6
Volume 7, Issue 1
Article Type: Google Scholar
Published Date: 20th, June, 2026
Published by: Journal of Science Technology and Research (JSTAR)
Abstract
Human-wildlife conflict has become a major challenge near agricultural and forest border areas. This project proposes a Virtual Fencing Wild Animal Intrusion Detection System using camera-based monitoring and intelligent detection techniques. The system detects animal movement using a surveillance camera and image processing methods. When an animal crosses the virtual boundary, the system sends an alert and activates deterrent methods such as buzzer or light to prevent intrusion. This non-physical fencing method reduces crop damage, improves safety, and provides an eco-friendly solution for wildlife management. The proposed system is cost-effective, reliable, and suitable for rural and forest-edge regions.
Keywords
Wild Animal Detection, Virtual Fencing, Intrusion Detection, Image Processing, Motion Detection, Surveillance Camera, Forest Safety, Smart Agriculture, IoT Monitoring, Human-Wildlife Conflict.
References
1. Sharma, R., Kumar, P., and Singh, A., “Camera Based Wild Animal Intrusion Detection System,” IEEE International Conference on Smart Systems, 2022.
2. Kumar, S., Rajan, M., and Prakash, V., “IoT Based Smart Virtual Fencing for Wildlife Protection,” International Journal of Engineering Research and Technology (IJERT), Vol. 10, Issue 6, 2021.
3. Ramesh, K., Arun, P., and Devi, S., “Deep Learning Approach for Wild Animal Detection Using CNN,” Springer Journal of Artificial Intelligence Applications, Vol. 15, Issue 3, 2023.
4. Natarajan, P., Karthik, R., and Selvam, M., “AI Enabled Virtual Fencing for Human Wildlife Conflict Mitigation,” International Research Journal of Engineering and Technology (IRJET), Vol. 11, Issue 2, 2024
