Real-Time UAV Trash Monitoring System
This study proposes a marine trash detection system based on unmanned aerial vehicles (UAVs) and aims to replace manpower with UAVs to detect marine trash efficiently and provide information to government agencies regarding real-time trash pollution. Internet technology and computer–machine interact...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-02-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/12/4/1838 |
| _version_ | 1827657408249331712 |
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| author | Yu-Hsien Liao Jih-Gau Juang |
| author_facet | Yu-Hsien Liao Jih-Gau Juang |
| author_sort | Yu-Hsien Liao |
| collection | DOAJ |
| description | This study proposes a marine trash detection system based on unmanned aerial vehicles (UAVs) and aims to replace manpower with UAVs to detect marine trash efficiently and provide information to government agencies regarding real-time trash pollution. Internet technology and computer–machine interaction were applied in this study, which involves the deployment of a marine trash detection system on a drone’s onboard computer for real-time calculations. Images of marine trash were provided to train a modified YOLO model (You Look Only Once networks). The UAV was shown to be able to fly along a predefined path and detect trash in coastal areas. The detection results were sent to a data streaming platform for data processing and analysis. The Kafka message queuing system and the Mongo database were used for data transmission and analysis. It was shown that a real-time drone map monitoring station can be built up at any place where mobile communication is accessible. While a UAV is automatically controlled by an onboard computer, it can also be controlled through a remote station. It was shown that the proposed system can perform data analysis and transmit heatmaps of coastal trash information to a remote site. From the heatmaps, government agencies can use trash categories and locations to take further action. |
| first_indexed | 2024-03-09T22:42:45Z |
| format | Article |
| id | doaj.art-a8344111ef8246999ce0d99063e49219 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T22:42:45Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-a8344111ef8246999ce0d99063e492192023-11-23T18:34:55ZengMDPI AGApplied Sciences2076-34172022-02-01124183810.3390/app12041838Real-Time UAV Trash Monitoring SystemYu-Hsien Liao0Jih-Gau Juang1Department of Communications, Navigation and Control Engineering, National Taiwan Ocean University, Keelung 20224, TaiwanDepartment of Communications, Navigation and Control Engineering, National Taiwan Ocean University, Keelung 20224, TaiwanThis study proposes a marine trash detection system based on unmanned aerial vehicles (UAVs) and aims to replace manpower with UAVs to detect marine trash efficiently and provide information to government agencies regarding real-time trash pollution. Internet technology and computer–machine interaction were applied in this study, which involves the deployment of a marine trash detection system on a drone’s onboard computer for real-time calculations. Images of marine trash were provided to train a modified YOLO model (You Look Only Once networks). The UAV was shown to be able to fly along a predefined path and detect trash in coastal areas. The detection results were sent to a data streaming platform for data processing and analysis. The Kafka message queuing system and the Mongo database were used for data transmission and analysis. It was shown that a real-time drone map monitoring station can be built up at any place where mobile communication is accessible. While a UAV is automatically controlled by an onboard computer, it can also be controlled through a remote station. It was shown that the proposed system can perform data analysis and transmit heatmaps of coastal trash information to a remote site. From the heatmaps, government agencies can use trash categories and locations to take further action.https://www.mdpi.com/2076-3417/12/4/1838object detectionmarine trashstreaming datamessage queuing systemUAV |
| spellingShingle | Yu-Hsien Liao Jih-Gau Juang Real-Time UAV Trash Monitoring System Applied Sciences object detection marine trash streaming data message queuing system UAV |
| title | Real-Time UAV Trash Monitoring System |
| title_full | Real-Time UAV Trash Monitoring System |
| title_fullStr | Real-Time UAV Trash Monitoring System |
| title_full_unstemmed | Real-Time UAV Trash Monitoring System |
| title_short | Real-Time UAV Trash Monitoring System |
| title_sort | real time uav trash monitoring system |
| topic | object detection marine trash streaming data message queuing system UAV |
| url | https://www.mdpi.com/2076-3417/12/4/1838 |
| work_keys_str_mv | AT yuhsienliao realtimeuavtrashmonitoringsystem AT jihgaujuang realtimeuavtrashmonitoringsystem |