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A Study on the Camera-Based CV Solution for the Detection of Harmful Substances in the Effluent of Environmental Infrastructure Facilities

Journal of the Korean Institute of Illuminating and Electrical Installation Engineers 2020
Minsoo Kim, Jae-Sang Cha

Summary

Researchers proposed a camera-based computer vision system for automated detection of microplastics in effluent discharged from wastewater treatment plants. The system uses image processing to identify and classify plastic particles, integrated with IIoT-based monitoring protocols. The approach aims to enable real-time, scalable monitoring of microplastic discharges from water infrastructure.

Study Type Environmental

In this paper, we proposed a camera-based CV solution (image data processing solution) for the detection of microplastics, and the main goal is to collect the discharged water from the environmental infrastructure (sewage treatment plant) that can be managed among the inflow paths of harmful substances entering the ocean and rivers. Is to manage. So, IIoT-based standard protocol was applied. In addition to the various water quality metrics installed and operated to manage the water quality of wastewater, microplastic monitoring systems can be built. We have verified that we can detect and monitor the microplastics contained in our samples with a real camera-based CV solution.

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