AI Powered Drone Surveillance System for Real Time Object Detection in Unmanned Aerial Vehicles Using Deep Learning Approaches

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Research demonstrates effective object detection in environmental monitoring using CNN and YOLOv8, suggesting strong UAV integration potential.

The implementation achieved effective object detection using YOLOv8, supporting rapid inference and reliable performance.
Fixed cameras demonstrated adaptability for environmental monitoring and disaster response while enabling UAV integration.
This research highlights the speed-accuracy trade-offs between one-stage and two-stage detectors in real-time applications.
Experimental results validate the system's effectiveness in static deployments, implying potential for dynamic drone scenarios.

P. N. Kumar (2025) studied this question.

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Research demonstrates effective object detection in environmental monitoring using CNN and YOLOv8, suggesting strong UAV integration potential.