Water Quality Estimation using Computer Vision in UAV

被引：5

作者：

Sharma, Chiranjeev ^{[1
]}

Isha ^{[1
]}

Vashisht, Vasudha ^{[1
]}

机构：

[1] Amity Univ, Dept CSE, Noida, Uttar Pradesh, India

来源：

2021 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE & ENGINEERING (CONFLUENCE 2021) | 2021年

关键词：

Deep learning; Computer vision Remote sensing; Water pollution; Monitoring; Image resolution; Surface contamination Unmanned Aerial Fehide (VAV); Remote; Sensing; Water pollution Investigation; decision-support system; Floating; CAV imaging; participatory sensing; TURBIDITY; ALGORITHM; COASTAL; SEDIMENT; SYSTEM; MODEL;

D O I：

10.1109/Confluence51648.2021.9377082

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The color change of water in a water body is often a tell - tale sign of its health. To counter the sources of water pollution an Unmanned Aerial Vehicle is deployed over a water body which reports back any discrepancies by channeling the feed through Computer Vision based model. This allows for rapid steps to be taken by the Concerned Authorities to mitigate the current situation. Algae formation, floating impurities and color change of the water body are the scope of the project and each of these are detected with an independent Machine Learning Models. The UAV communicates and sends results based on the accuracy of these models.

引用

页码：448 / 453

页数：6

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