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Image based water gauge reading developed with ANN Kohonen

机译:由ANN Kohonen开发的基于图像的水位读数

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The purpose of this study is to develop a method to read PDAM Tirtanadi water gauge from image captured by a digital camera mobile phone using Kohonen artificial neural network model There are several processes within the application which are image acquisition, preprocessing, segmentation, training ANN Kohonen and digit number identification process. Based on simulation using 90 number digit from 15 water gauge data, we obtained the recognition results with the accuracy rate of 95,56% (per number digit) and 86,67% accuracy rate for the water gauge readings.
机译:这项研究的目的是开发一种使用Kohonen人工神经网络模型从数码相机手机拍摄的图像中读取PDAM Tirtanadi水位的方法。应用程序中有多个过程,包括图像采集,预处理,分割,训练ANN Kohonen和数字号码识别过程。在15个水位数据中使用90位数字进行模拟的基础上,我们获得了识别结果,水位读数的准确率为95.56%(每位数字),准确率为86.67%。

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