The Utilization OpenCV to Measure the Water Pollutants Concentration

Journal of Environmental Engineering and Waste Management Pub Date : 2021-10-04 DOI:10.33021/jenv.v6i2.1475

Riri Asyahira Sariati Syah, R. Hakiki

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Abstract

Abstract. Intensive water quality determination needs to be adjusted with technological developments to meet today's society's needs and increased water pollution due to urbanization. Therefore, early detection is essential for in site water quality determination and as a critical consideration in making health and environmental decisions. OpenCV is a library programming feature for Computer Vision which focuses on extracting information from images in real-time, this can be considered to be potential to measure the pollutant concentration. Objectives: This study identify the potential of colorimetry analysis method by using OpenCV as an alternative method for pollutant concentration measurement. Method and results: First stage, this study collecting the data of NH3 phenate and Pt-Co CU from the spectrophotometer. The first stage also was including the development of an OpenCV code. Then, the data was collected were processed to get the concentration of NH3 and Pt-Co both using OpenCV and spectrophotometer; factors that influence the Pt-Co sample image measurement process by using OpenCV-Python was analyzed too. Then in the analysis stage, the result of the two measurement method was tested by statistic determine its significant difference. The conclusion found whether OpenCV could be potential to measure the pollutant concentration or not. Conclusion: the OpenCV has potential to be use as alternative colorimetry measurement method to determine water pollutant as there is no significant difference in the spectrophotometric method results and the results from OpenCV for Pt-Co sample. Meanwhile, in this study found that the result of NH3 from spectrophotometer is nonlinear different with from OpenCV that is linear. Thus, further research is needed to test the validity of OpenCV method. The factor influence of measurement using OpenCV code is when determining the Region of Interest (ROI) and determining the pixel values for the normalized box filter

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利用OpenCV测量水体污染物浓度

摘要密集的水质测定需要随着技术的发展进行调整，以满足当今社会的需求和城市化导致的水污染增加。因此，早期检测对于确定现场水质至关重要，也是做出健康和环境决策的关键考虑因素。OpenCV是一个面向计算机视觉的库编程功能，专注于从图像中实时提取信息，这可以被认为是测量污染物浓度的潜力。目的:本研究确定了OpenCV作为污染物浓度测量替代方法的比色分析方法的潜力。方法与结果:本研究首先用分光光度计采集了苯酚铵和铂钴铜的数据。第一阶段还包括OpenCV代码的开发。然后，用OpenCV和分光光度计对收集的数据进行处理，得到NH3和Pt-Co的浓度;分析了影响OpenCV-Python测量Pt-Co样品图像过程的因素。然后在分析阶段，对两种测量方法的结果进行统计检验，确定其显著性差异。结论表明OpenCV是否具有测量污染物浓度的潜力。结论:OpenCV法与OpenCV法对Pt-Co样品的分光光度法测定结果无显著性差异，具有作为水污染物测定的替代比色法的潜力。同时，本研究发现分光光度计测定NH3的结果是非线性的，而OpenCV测定NH3的结果是线性的。因此，需要进一步的研究来验证OpenCV方法的有效性。使用OpenCV代码测量的影响因素是确定感兴趣区域(ROI)和确定归一化盒滤波器的像素值

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Journal of Environmental Engineering and Waste Management

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