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Application of Image Processing for Inspection of Pill Production Process

机译:图像处理在丸生产过程检查中的应用

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Inspection of the external appearance of the pill is one of the methods to check the basic quality according to the standard of Food and Drug Administration (FDA) such as chipped pills, inappropriate sizes, and unclear letter printed on pills. This paper proposes an application of image processing for inspection of pill production process. In this study, the Image Processing principal including the Grayscale Method, Threshold Method, OTSU Method, Bounding Box Method and Geometric Algorithm was adopted to process images from normal webcam camera. In addition, the Microsoft Visual C# 2008 was used for processing the signals by analyzing the output signals of webcam camera. In the experiment, the perfect pill was determined by a cross-sectional area not less than 98% of the standard pill in units of milligrams (mg) in FDA standard. The experiment was divided into three cases: inspection 100 perfect pills, 100 imperfect pills and 100 pills in 1:1 ratio between the perfect pills and the imperfect pills with the speed for inspecting and distinguishing of 70 pills per minute. From the experimental result of three cases, the error rates were 0.6%, 1.2% and 1.0%, respectively, while the average of process error was 0.93%.
机译:药丸的外观的检查是的方法之一,根据食品和药物管理局(FDA)的标准检查基本质量,例如碎裂丸剂,不适当的尺寸,并打印在丸剂信不清楚。本文提出的图像处理为丸制造方法的检查的应用程序。在这项研究中,包括灰度法,阈值法,OTSU方法,包围盒的方法和几何算法的图像处理主要获得通过从正常的网络摄像头摄像处理的图像。此外,的Microsoft Visual C#2008被用于通过分析照相机的摄像头的输出信号的处理的信号。在实验中,完美的药丸通过的横截面面积确定为不小于98 标准丸的%在FDA标准毫克(mg)的单元。实验分为三种情况:检查100个完美丸剂,100个不完善药片和药丸100在1:1倍的比例的完美丸剂和与速度不完善丸剂用于检查和每分钟70个丸剂区分之间。从三种情况的实验结果,误差率分别为0.6 %,1.2 %和1.0 %,而平均误差过程的为0.93 %。

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