A review of turbidity detection based on computer vision

Y Liu, Y Chen, X Fang - IEEE access, 2018 - ieeexplore.ieee.org
Computer vision technology has made great progress in practice in recent years, and it also
has broad application prospects in turbidity detection. Turbidity detection plays an important …

A Combined Computer Vision and Convolution Neural Network Approach to Classify Turbid Water Samples in Accordance with National Water Quality Standards

Z Nazemi Ashani, MF Zainuddin, IS Che Ilias… - Arabian Journal for …, 2024 - Springer
Computer vision (CV) technologies have been applied extensively in turbid water
assessment. However, the accuracies of CV to detect turbidity is limited by several factors …

An Approach Based on Video Image Intelligent Recognition for Water Turbidity Monitoring in River

N Zhou, H Chen, N Chen, B Liu - ACS ES&T Water, 2024 - ACS Publications
Water turbidity stands as a pivotal water quality indicator for water quality monitoring, but
conventional contact monitoring equipment is expensive and challenging to maintain. The …

A novel camera-based sensor for real-time wastewater quality monitoring

G Antonini, JM Pearce, F Berruti… - Water Practice & …, 2024 - iwaponline.com
Recent advancements have significantly improved turbidity and absorbance measurement
techniques, crucial for municipal and industrial wastewater quality monitoring. This …

The effect of mobile camera selection on the capacity to predict water turbidity

J Villamil, J Victorino, F Gómez - Water Science and Technology, 2021 - iwaponline.com
Recently, cameras of mobile have phones emerged as an alternative for quantifying water
turbidity. Most of these studies lack a strategy to determine the water turbidity for new …

[PDF][PDF] Estimating water turbidity from a smartphone camera.

LML Wilches, C Jantarakasem, L Sioné… - BMVC, 2022 - bmvc2022.mpi-inf.mpg.de
Water quality monitoring is indispensable for safeguarding human health. One aspect of
water quality is turbidity, the measurement of which typically involves on-site water sampling …

Relating to the environment through photography: The smartphone camera as a tool in urban farming

A Poikolainen Rosén, M Normark… - Proceedings of the 32nd …, 2020 - dl.acm.org
Research on environmental sustainability in HCI is investigating the opportunities and
hindrances technologies pose on living sustainably, beyond direct material impact of …

Estimating drinking water turbidity using images collected by a smartphone camera

C Jantarakasem, L Sioné… - … , Ecosystems and Society, 2024 - iwaponline.com
The lack of robust water quality data in drinking water services in many low-income settings
can be attributed to inadequate funding for regular monitoring using analytical equipment …

Comparison of convolutional neural networks in real-time monitoring of aquaculture water state

H Qin, S Mei, H Yu, Y Liu, L Yang, Y Mei… - Journal of Physics …, 2021 - iopscience.iop.org
Real-time monitoring of the aquaculture water state is essential for shrimp aquaculture, and
it plays a vital role in the growth of shrimp. The main purpose of this research is to find an …

Measurement of Fe and Mn concentrations using image processing techniques based on color intensity approach

PS Daniar, Y Zevi, R Hakiki, BS Muntalif… - E3S Web of …, 2024 - e3s-conferences.org
Water quality monitoring is an important activity to create a good environment quality with
clean and healthy water sources. Various monitoring methods that are generally used such …