Water Quality Assessment Using Visual Sensors

| January 14, 2021 | 0 Comments

Mohbat Tharani, Abdul Wahab Amin, Fezan Rasool, Muhammad Maaz, Murtaza Taj

Summary

In the absence of an effective trash management framework, trash is often illegally dumped in rivers and canals running through urban areas, contaminating freshwater and blocking drainage lines which results in urban floods. When this contaminated water reaches agricultural fields, it results in degradation of soil and poses critical environmental as well as economic threats. In this research, we aim to devise an automated vision based approach to detect, classify and quantify the trash present in canals and drains which would eventually assist the government and policymakers to take appropriate steps.

Sample Images

Sample images

IoT-based Camera Node

IoT-based Camera Node

System Overview

System Overview

Resources

Image Dataset with 3 Class Annotations: Coming Soon
12 Class Fine-grained Annotations: Coming Soon
Code repository: Coming Soon

 If you happen to use the data set, please refer to the following paper:

Text Reference:

Mohbat Tharani, Abdul Wahab Amin, Fezan Rasool, Muhammad Maaz, Murtaza Taj,
"Attention Neural Network for Trash Detection on Water Channels", 
https://arxiv.org/abs/2007.04639, 2020

Bibtex Reference:

@inproceedings{TharaniArxiv2020,
   author   = "Mohbat Tharani and
               Abdul Wahab Amin and
               Fezan Rasool and 
               Muhammad Maaz and 
               Murtaza Taj",
   title     = "Attention Neural Network for Trash Detection on Water Channels",    
   booktitle = "arxiv",    
   month = "Jul ",
   year = "2020", }

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Category: Projects

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