P.A.R.S. Autonomous Multi-UAV Surveillance System

Overview

For my graduation project I built a swarm UAV surveillance system controlling multiple UAVs through mobile and desktop applications, set up a Gazebo and ArduPilot simulation environment and handled real-time data and mission planning over MAVLink.

Technical Approach

• Mobile GCS: UAV data received securely over a virtual private network (VPN/VPC) using TCP sockets.
• Desktop GCS: low-latency C++ / Qt interface; telemetry via MAVSDK with multi-connection support to manage the whole swarm from one interface.
• Algorithms and UI simulated and tested in Gazebo and ArduPilot SITL.

Key Features

• Multi-UAV monitoring and real-time telemetry (battery, GPS position, speed, altitude)
• Dynamic position tracking with map integration (Google Maps)
• Live visualization of swarm formation and each UAV's status
• TCP socket communication and MAVLink
• Multi-UAV coordination

System Architecture