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Autonomous Surveillance Drone

Author

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  • Kaushika Patel
  • Yash Sojitra

Abstract

This paper presents the design, development, and testing of a fully autonomous surveillance drone built using a quadcopter frame, Brushless DC (BLDC) motors, Electronic Speed Controllers (ESCs), Raspberry Pi 4, GPS, and a Pixhawk flight controller. The drone achieves autonomous navigation using telemetry communication and DroneKit-MAVProxy, a Python-based software framework, in conjunction with ground control tools like QGroundControl and Mission Planner. The goal is to create a low-cost, user-friendly UAV (Unmanned Aerial Vehicle) capable of performing tasks like area monitoring, GPS-based navigation, and data collection. Reliable testing was conducted to assess flight stability, GPS accuracy, communication range, and mission execution success. The results confirm the drone’s reliability in open-field scenarios, with potential for future enhancements such as AI-based object detection, collision avoidance, and multi-drone swarm operation

Suggested Citation

  • Kaushika Patel & Yash Sojitra, 2025. "Autonomous Surveillance Drone," International Journal of Scientific Research in Science, Engineering and Technology, Technoscience Academy, vol. 12(2), pages 750-754, April.
    • Handle: RePEc:ijs:ijsrse:v12:y2025:i2:id:424
    DOI: 10.32628/IJSRSET25122202
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