QuadSWARM: A Real-Time Autonomous Surveillance System using Multi-Quadcopter UAVs

Ajiya Fatima Moiz*, Hassaan Moiz Khawaja, Zeashan Hameed Khan, Raja Sohail

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents an automated solution for real time perimeter surveillance in smart cities. By using a swarm of custom-made drones, installed with surveillance payloads, which is specially designed to carry out such missions, additional advantages can be gained due to multiple drones simultaneously covering different observatory areas. These flying robots have multiple degrees of autonomy, from completely manual to fully scripted pre-planned mission execution. Moreover, they are difficult to detect due to smaller size and signature as compared to fixed wing unmanned aircraft, and even if one of them is compromised, others in the swarm can complete the mission. The real-time video received from the drone can also detect the land mapping of enemy territory and quickly provide live data for situational awareness. The present system uses a leader/follower approach based on the hierarchical swarm of four drones which is able to operate in all terrain and fly over hard to reach places carrying a limited payload which can help saving lives in time constrained missions.

Original languageEnglish
Title of host publication1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665472753
DOIs
StatePublished - 2023
Externally publishedYes
Event1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Jeddah, Saudi Arabia
Duration: 23 Jan 202325 Jan 2023

Publication series

Name1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings

Conference

Conference1st International Conference in Advanced Innovation on Smart City, ICAISC 2023
Country/TerritorySaudi Arabia
CityJeddah
Period23/01/2325/01/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • quadcopter
  • smart cities
  • surveillance
  • swarm
  • unmanned aerial vehicle

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Transportation
  • Urban Studies

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