Aerial Object Tracking System on Micro Quadrotor Drone for Crowd Detection in Small-Scale Area

DOI

10.2991/978-2-38476-132-6_84How to use a DOI?

Keywords

COVID-19; pandemic; drone; aerial; quadrotor; object tracking; surveillance; monitoring; crowd counting; small-scale

Abstract

Remembering when COVID-19 had such a huge impact in Indonesia. For pandemic prevention and control, it is important to use all available technologies for mitigation. There are reports of attempts to use drone technology in various settings. Drones can help control pandemics in a variety of ways. Recent research has revealed the benefits of drones, especially the type of quadrotor. The development of the quadrotor drone system as a flying platform for air surveillance has received a lot of attention. Drone-based surveillance uses cameras to capture images and videos to obtain information about a particular geographical area or topography. The reason for the analysis of air images is the need to predict changes in the areas of interest, such as to count the crowd, remembering from the lessons we can learn in the efforts to prevent the COVID-19 pandemic of that time. The main challenge is to figure out how to create a system that can provide accurate counting of the crowds of the air, which is important for fighting pandemics. The aim of this paper is to show the application of drones from the air object tracking system for crowd detection in a small-scale area. The report also proposes alternative solutions based on the use of microquadrotor drones equipped with cameras on board. In addition, images are transmitted and processed in mobile applications to provide more information about the object. Several experiments show that the system has been effectively installed and provides data collection for further research. The results showed that the system could be used for small-scale air monitoring.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Musthafa Dimas Bagaskoro Pranoto
AU  - Muhammad Ikhsan Sani
AU  - Marlindia Ike Sari
PY  - 2023
DA  - 2023/10/31
TI  - Aerial Object Tracking System on Micro Quadrotor Drone for Crowd Detection in Small-Scale Area
BT  - Proceedings of the 6th International Conference on Vocational Education Applied Science and Technology (ICVEAST 2023)
PB  - Atlantis Press
SP  - 992
EP  - 1006
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-132-6_84
DO  - 10.2991/978-2-38476-132-6_84
ID  - Pranoto2023
ER  -