Waste water quality detection using image processing

Author

Uhwandavaka, Lillian Tinotenda

Title

Waste water quality detection using image processing

Abstract

This research proposes a novel wastewater quality management system that leverages image processing techniques to monitor and assess wastewater quality in real-time. The system utilizes cameras and sensors to capture images of wastewater samples, which are then analyzed using machine learning algorithms to detect and classify various water quality parameters such as turbidity, color, and contaminants. The system provides accurate and rapid assessment of wastewater quality, enabling timely decision-making for effective treatment and management. The proposed system offers a cost-effective and efficient solution for wastewater quality management, contributing to improved environmental and public health outcomes.

Date

June, 2025

Publisher

BUSE

Keywords

Wastewater quality management

Image processing techniques

Real-time monitoring

Machine learning algorithms

Supervisor

Not stated