Method of cleaning water from waste with the help of drones

Authors

DOI:

https://doi.org/10.18372/2073-4751.70.16849

Keywords:

cleaning water reservoir, drone and ship, netural networks, YOLO algorithm

Abstract

Currently, it is known that drones are increasingly used in various fields: media, military, agricultural, security, and scientific research. At the same time, ecological problems, in particular water bodies, are acutely emerging. The article proposes a method of cleaning water bodies from floating waste with the help of drones and a boat, developed a functional diagram of the water body cleaning system. The drone, flying over the water, takes pictures of the water surface and recognizes the floating waste on them. Next, the drone sends the coordinates of the detected debris to the boat. Methods based on learning neural networks are used to recognize floating debris: the YOLO algorithm is applied.

References

Drone Clean-Zilla. [Electronic resource]. – Access point: https://ieeexplore.ieee.org/document/9702544

Leah Kostamo. Planted: A Story of Creation, Calling, and Community Paper-back. – 2013. – 172 p.

Michael Niaounakis. Management of Marine Plastic Debris. – 2017. – 422.

Garbage Detection and Classifica-tion Method. [Electronic resource]. – Access point: https://www.hindawi.com/journals/complexity/2021/1055604/

Systems for River Cleanup. [Electronic resource]. – Access point: https://designedconscious.com/plastics-in-the-ocean/sustainability-news-stories/12-river-plastic-cleanup-projects/

What is TACO?. [Electronic re-source]. – Access point: http://tacodataset.org/

Downloads

Published

2022-09-11

How to Cite

Nesterenko, V., & Berdnyk, Y. (2022). Method of cleaning water from waste with the help of drones. Problems of Informatization and Control, 2(70), 71–75. https://doi.org/10.18372/2073-4751.70.16849

Issue

Vol. 2 No. 70 (2022)

Section

Статті

License

The scientific journal adheres to the principles of Open Access and provides free, immediate, and permanent access to all published materials without financial, technical, or legal barriers for readers.

All articles are published in Open Access under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Copyright

Authors who publish their works in the journal:

  • retain the copyright to their publications;

  • grant the journal the right of first publication of the article;

  • agree to the distribution of their materials under the CC BY 4.0 license;

  • have the right to reuse, archive, and distribute their works (including in institutional and subject repositories), provided that proper reference is made to the original publication in the journal.