Multi agent Collaborative UAV System for Surveillance

The popularity of UAVs have lead to a broad spectrum of applications in human society, from retail to environmental problems high flexible visual data encourages drones to be a preferred product for crowd surveillance and disaster management. In our project we will develop a framework comprising two

Project Title

Multi agent Collaborative UAV System for Surveillance

Project Area of Specialization

Artificial Intelligence

Project Summary

The popularity of UAVs have lead to a broad spectrum of applications in human society, from retail to environmental problems high flexible visual data encourages drones to be a preferred product for crowd surveillance and disaster management. In our project we will develop a framework comprising two drone such that the drones cover the target area optimally by keeping maximum distance between each other with permissible overlap in field-view.

Project Objectives

Our objective is to implement a simple reinforcement learning algorithm on the multi-robot or multi-agent system.

Project Implementation Method

In the first phase we assembled two Quads. We used Pixhawk flight controller and Raspberry pi 3b for processing purpose.

We calibrated our Quads using Mission Planner software.

We set up an environmental set up consisting of 13x9x11 cuboid arena. X, y, z coordinates from cameras placed in arena will be sent to the Quad. The Quad will use these coordinates to alter its position.

Benefits of the Project

In the current era UAVs attracted much attention  in both civil and military applications. These days Unmanned Aerial Vehicle (UAV) are used in many applications such as home security, crowd surveillance, livestock monitoring, wild fire mapping, disaster management, civil security etc.

Technical Details of Final Deliverable

We will create an environmental setup consisting of 13x9x11 cuboid arena. Three IP cameras will be placed in the arena, which will monitor the x, y, z coordinates of the Quad. These x, y, z coordinates will be sent to Quad in real time. By the help of these coordinates, Quad will alter its position.

We have assembled two Quads using Pixhawk Flight controller and Raspberry pi to send commands to Pixhawk. Both Quads will fly and cover the field autonomously

Final Deliverable of the Project

Hardware System

Core Industry

Security

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com