A YOLO-Based Aerial Monitoring System for Detecting Waste in Water Bodies

Being a significant environmental issue Water Pollution impacts marine ecosystem and human health as well. Traditional Methods of monitoring water pollution are often time-consuming and labor-intensive. To overcome these problems, an innovative waste detection system for water bodies using aerial images is presented, which employs the YOLO (You Only Look Once) algorithm, that is known for its strength in object detection, made it a subtle choice and resulted in 96% of accuracy. YOLO’s real-time object detection capabilities enable the identification of different waste materials in aerial images with high precision. A User Interface is also made to provide interaction medium. By providing accurate and timely data on waste in water bodies, the system represents a significant advancement in pollution monitoring and improves aquatic environmental health.

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Publication Details

Published
2024-11-28
DOI
https://doi.org/10.1109/icaiccit64383.2024.10912189
Citations
1
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.20
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article

A YOLO-Based Aerial Monitoring System for Detecting Waste in Water Bodies

V. Durga Prasad Jasti, Aswini Durga Bypilla, Blessey Kota, Bhargavi Bhukya
1 citations
Water Quality Monitoring Technologies
0.20
article

A YOLO-Based Aerial Monitoring System for Detecting Waste in Water Bodies

V. Durga Prasad Jasti, Aswini Durga Bypilla, Blessey Kota, Bhargavi Bhukya
article en
1 citations

Abstract

Being a significant environmental issue Water Pollution impacts marine ecosystem and human health as well. Traditional Methods of monitoring water pollution are often time-consuming and labor-intensive. To overcome these problems, an innovative waste detection system for water bodies using aerial images is presented, which employs the YOLO (You Only Look Once) algorithm, that is known for its strength in object detection, made it a subtle choice and resulted in 96% of accuracy. YOLO’s real-time object detection capabilities enable the identification of different waste materials in aerial images with high precision. A User Interface is also made to provide interaction medium. By providing accurate and timely data on waste in water bodies, the system represents a significant advancement in pollution monitoring and improves aquatic environmental health.

Siddhartha Medical College (IN)
Clean water and sanitation
Openalex Percentile: Top 42%
Water Quality Monitoring Technologies
0.20
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