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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Pardini K, Rodrigues JJ, Kozlov SA, Kumar N, Furtado V (2019) IoT-based solid waste management solutions: a survey. J Sens Actuator Netw 8:5
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)
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
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)
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 52:41–52
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 7:128125–128152
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 33:14–22
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
Anadkat AP, Monisha BV, Puthineedi M, Patnaik AK (2019) Drone based solid waste detection using deep learning & image processing, p 8
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
Youme O, Bayet T, Dembele JM, Cambier C (2021) Deep learning and remote sensing: detection of dumping waste using UAV. Procedia Comput Sci 185:361–369
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)
Albano P et al (2012) A secure distributed video surveillance system based on portable devices. In: Multidisciplinary research and practice for information systems. CD-ARES 2012. Lecture notes in computer science, vol 7465. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32498-7_30
Alsmirat MA, Jararweh Y, Obaidat I, Gupta BB (2017) Automated wireless video surveillance: an evaluation framework. J Real-Time Image Proc 13:527–546. https://doi.org/10.1007/s11554-016-0631-x
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
Chernov V (2013) Solution of traveling salesman problem (TSP) using genetic algorithm (GA)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Dobrilovic, D., Jotanovic, G., Stjepanovic, A., Jausevac, G., Perakovic, D. (2022). A Model of UAV-Based Waste Monitoring System for Urban Areas. In: Agrawal, D.P., Nedjah, N., Gupta, B.B., Martinez Perez, G. (eds) Cyber Security, Privacy and Networking. Lecture Notes in Networks and Systems, vol 370. Springer, Singapore. https://doi.org/10.1007/978-981-16-8664-1_27
Download citation
DOI: https://doi.org/10.1007/978-981-16-8664-1_27
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-8663-4
Online ISBN: 978-981-16-8664-1
eBook Packages: EngineeringEngineering (R0)