Autonomous Solar-Powered Anti-Poaching Rover with Deep Behavioral Analysis for Wildlife Monitoring

International Journal of Emerging Research in Science, Engineering, and Management
Vol. 2, Issue 4, pp. 84-88, April 2026.

https://doi.org/10.58482/ijersem.v2i4.11

This work is licensed under a Creative Commons Attribution 4.0 International License.

Autonomous Anti-poaching Rugged Rover with Human Intervention and USV-Based Heatmap Detection

Sk. Jamsheer, A. Praveen Kumar, D. Chandra Prakash, A. Meenakshi, P. Vennela, M. Yuva Priya

Department of ECE, Gokula Krishna College of Engineering, Sullurpet, India.

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Abstract: Forests are increasingly threatened by human intrusion and poaching activities, necessitating the development of intelligent monitoring systems. This paper proposes a solar-powered autonomous rover equipped with a Raspberry Pi and artificial intelligence for real-time wildlife surveillance. The system continuously captures live video, detects animals and human intruders, and analyzes behavioral patterns using deep learning techniques. It identifies abnormal or suspicious activities and alerts authorities when unauthorized human presence is detected in restricted forest areas. The integration of solar energy enables long-term, eco-friendly operation without reliance on external power sources, making the system highly suitable for deployment in remote and dense forest environments.

Keywords: Human intrusion detection, Poacher detection, Solar-powered rover, Wildlife monitoring, Artificial intelligence.

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This article is part of Volume 2, Issue 4 (April 2026)