Phosphorescence marking method for liquid level detection and control using computer vision in dark environments

IF 3.5 2区 工程技术 Q2 ENGINEERING, MANUFACTURING
Seyit Ahmet İnan , Bekir Aksoy
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引用次数: 0

Abstract

The liquid mixture control and level measurement processes were examined in the study using computer images. Liquids of optical characteristics result in low contrast and light reflections in captured camera images. This causes a slowdown in the image's level detection and the processing of mixed images. The method of marking the liquid surface with phosphorescent material in a dark environment was proposed to reduce the light effect on the images. The method's goal is to lessen the noise and light effect in the image that causes measurement errors. A system for experimental measurement and control was set up, comprising liquid tanks, pumps, phosphorus float, camera, and computer. RGB color space, column profile, color moment, filtering, and threshold techniques were used to detected the liquid level from the camera images. When the computer vision results were compared with the real results, the measurement error was calculated as ± 2.595 mm, RMSE = 2.595, and an error rate of 0.66 % for the 400 ml liquid tank. The method simplifies software development procedures for computer, FPGA and microprocessor-based level measurement devices by simplifying intricate image processing algorithms. The computer vision-based phosphorescence marking method can be used in liquid mixture processes for experimental and industrial purposes. It is a liquid level measurement technique that is low cost and easy to apply. Liquids affected by light can employ this method. It has the potential for application in biology, medicine and chemistry laboratories.
黑暗环境下用计算机视觉检测和控制的磷光标记方法
利用计算机图像对液体混合控制和液位测量过程进行了研究。具有光学特性的液体会导致相机图像的低对比度和光反射。这导致图像的电平检测和混合图像的处理速度减慢。为了减少光对图像的影响,提出了在黑暗环境下用磷光材料标记液体表面的方法。该方法的目标是减少导致测量误差的图像中的噪声和光效应。建立了一套实验测量和控制系统,包括储液罐、泵、浮磷器、摄像机和计算机。采用RGB色彩空间、柱轮廓、颜色矩、滤波和阈值等技术从相机图像中检测液位。将计算机视觉结果与实际结果进行比较,计算得出测量误差为±2.595 mm, RMSE = 2.595,对于400 ml液槽,误差率为0.66%。该方法通过简化复杂的图像处理算法,简化了基于计算机、FPGA和微处理器的液位测量设备的软件开发过程。基于计算机视觉的磷光标记方法可用于实验和工业目的的液体混合过程。它是一种成本低、易于应用的液位测量技术。受光影响的液体可以采用这种方法。它在生物、医学和化学实验室中具有潜在的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.40
自引率
5.60%
发文量
177
审稿时长
46 days
期刊介绍: Precision Engineering - Journal of the International Societies for Precision Engineering and Nanotechnology is devoted to the multidisciplinary study and practice of high accuracy engineering, metrology, and manufacturing. The journal takes an integrated approach to all subjects related to research, design, manufacture, performance validation, and application of high precision machines, instruments, and components, including fundamental and applied research and development in manufacturing processes, fabrication technology, and advanced measurement science. The scope includes precision-engineered systems and supporting metrology over the full range of length scales, from atom-based nanotechnology and advanced lithographic technology to large-scale systems, including optical and radio telescopes and macrometrology.
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