Skip to main content
Top

2022 | OriginalPaper | Chapter

A Model of UAV-Based Waste Monitoring System for Urban Areas

Authors : Dalibor Dobrilovic, Gordana Jotanovic, Aleksandar Stjepanovic, Goran Jausevac, Dragan Perakovic

Published in: Cyber Security, Privacy and Networking

Publisher: Springer Nature Singapore

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This paper  presents an approach in using unmanned aerial vehicles (UAVs) with remote imaging for urban waste monitoring. The system is designed to monitor green areas, public trash cans, and unregulated landfills and to detect possible violations of garbage disposal rules. Public green urban areas, such as parks, green surfaces, sport terrains, and bathing areas, are gathering places for people and therefore prone to unregulated waste disposal. The proposed solution describes the real-time monitoring of the area using drones and the detection of irregularities in a garbage disposal. The cameras mounted on drones are used to take images of public targeted areas at pre-mapped points. Visual data collected by supervisor drones are used for further processing and notification of authorized personnel and institutions.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Pardini K, Rodrigues JJ, Kozlov SA, Kumar N, Furtado V (2019) IoT-based solid waste management solutions: a survey. J Sens Actuator Netw 8:5CrossRef Pardini K, Rodrigues JJ, Kozlov SA, Kumar N, Furtado V (2019) IoT-based solid waste management solutions: a survey. J Sens Actuator Netw 8:5CrossRef
2.
go back to reference Chen L-Y, Huang H-S, Wu C-J, Tsai Y-T, Chang Y-S (2018) A LoRa-based air quality monitor on unmanned aerial vehicle for smart city. Presented at the 2018 international conference on system science and engineering (ICSSE) Chen L-Y, Huang H-S, Wu C-J, Tsai Y-T, Chang Y-S (2018) A LoRa-based air quality monitor on unmanned aerial vehicle for smart city. Presented at the 2018 international conference on system science and engineering (ICSSE)
3.
go back to reference Shahabi H, Khezri S, Ahmad BB, Zabihi H (2012) Application of artificial neural network in prediction of municipal solid waste generation (case study: Saqqez City in Kurdistan Province). World Appl Sci J 20:336–343 Shahabi H, Khezri S, Ahmad BB, Zabihi H (2012) Application of artificial neural network in prediction of municipal solid waste generation (case study: Saqqez City in Kurdistan Province). World Appl Sci J 20:336–343
4.
go back to reference Husni NL, Prihatini E, Silvia A (2019) Garbage monitoring and warning system. Presented at the 2019 international conference on electrical engineering and computer science (ICECOS) Husni NL, Prihatini E, Silvia A (2019) Garbage monitoring and warning system. Presented at the 2019 international conference on electrical engineering and computer science (ICECOS)
5.
go back to reference Baiocchi V, Napoleoni Q, Tesei M, Servodio G, Alicandro M, Costantino D (2019) UAV for monitoring the settlement of a landfill. Eur J Remote Sens 52:41–52CrossRef Baiocchi V, Napoleoni Q, Tesei M, Servodio G, Alicandro M, Costantino D (2019) UAV for monitoring the settlement of a landfill. Eur J Remote Sens 52:41–52CrossRef
6.
go back to reference Alsamhi SH, Ma O, Ansari MS, Almalki FA (2019) Survey on collaborative smart drones and internet of things for improving smartness of smart cities. IEEE Access 7:128125–128152CrossRef Alsamhi SH, Ma O, Ansari MS, Almalki FA (2019) Survey on collaborative smart drones and internet of things for improving smartness of smart cities. IEEE Access 7:128125–128152CrossRef
7.
go back to reference Hu Z, Bai Z, Yang Y, Zheng Z, Bian K, Song L (2019) UAV aided aerial-ground IoT for air quality sensing in smart city: architecture, technologies, and implementation. IEEE Netw 33:14–22CrossRef Hu Z, Bai Z, Yang Y, Zheng Z, Bian K, Song L (2019) UAV aided aerial-ground IoT for air quality sensing in smart city: architecture, technologies, and implementation. IEEE Netw 33:14–22CrossRef
8.
go back to reference Alsamhi SH, Afghah F, Sahal R, Hawbani A, Al-Qaness A, Lee B, Guizani M (2021) Green internet of things using UAVs in B5G networks: a review of applications and strategies. Ad Hoc Netw 102505 Alsamhi SH, Afghah F, Sahal R, Hawbani A, Al-Qaness A, Lee B, Guizani M (2021) Green internet of things using UAVs in B5G networks: a review of applications and strategies. Ad Hoc Netw 102505
9.
go back to reference Anadkat AP, Monisha BV, Puthineedi M, Patnaik AK (2019) Drone based solid waste detection using deep learning & image processing, p 8 Anadkat AP, Monisha BV, Puthineedi M, Patnaik AK (2019) Drone based solid waste detection using deep learning & image processing, p 8
10.
go back to reference Achaliya P, Bidgar G, Bhosale H, Dhole P, Gholap K, Chandwad SC (2020) Drone based smart garbage monitoring system using computer vision. Int J Creat Res Thoughts 8:6 Achaliya P, Bidgar G, Bhosale H, Dhole P, Gholap K, Chandwad SC (2020) Drone based smart garbage monitoring system using computer vision. Int J Creat Res Thoughts 8:6
11.
go back to reference Youme O, Bayet T, Dembele JM, Cambier C (2021) Deep learning and remote sensing: detection of dumping waste using UAV. Procedia Comput Sci 185:361–369CrossRef Youme O, Bayet T, Dembele JM, Cambier C (2021) Deep learning and remote sensing: detection of dumping waste using UAV. Procedia Comput Sci 185:361–369CrossRef
12.
go back to reference Mohammed F, Idries A, Mohamed N, Al-Jaroodi J, Jawhar I (2014) UAVs for smart cities: opportunities and challenges. In: 2014 international conference on unmanned aircraft systems (ICUAS) Mohammed F, Idries A, Mohamed N, Al-Jaroodi J, Jawhar I (2014) UAVs for smart cities: opportunities and challenges. In: 2014 international conference on unmanned aircraft systems (ICUAS)
13.
15.
go back to reference Jausevac G, Dobrilovic D, Brtka V, Jotanovic G, Perakovic D, Stojanov Z (2021) Smart UAV monitoring system for parking supervision. In: Future access enablers for ubiquitous and intelligent infrastructures. Springer International Publishing, Cham, pp 240–253 Jausevac G, Dobrilovic D, Brtka V, Jotanovic G, Perakovic D, Stojanov Z (2021) Smart UAV monitoring system for parking supervision. In: Future access enablers for ubiquitous and intelligent infrastructures. Springer International Publishing, Cham, pp 240–253
16.
go back to reference Chernov V (2013) Solution of traveling salesman problem (TSP) using genetic algorithm (GA) Chernov V (2013) Solution of traveling salesman problem (TSP) using genetic algorithm (GA)
Metadata
Title
A Model of UAV-Based Waste Monitoring System for Urban Areas
Authors
Dalibor Dobrilovic
Gordana Jotanovic
Aleksandar Stjepanovic
Goran Jausevac
Dragan Perakovic
Copyright Year
2022
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-16-8664-1_27