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An automatic inspection and control method for a biological reagent production system with image processing techniques

机译:利用图像处理技术的生物试剂生产系统的自动检查和控制方法

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Purpose - The purpose of this paper is to present an automatic inspection and control method for a reagent rapid test strip production system, with image processing techniques. Design/methodology/approach - Fluorescence, color arrangement and combination matching with the database were used to identify the responses of biochemicals. The position accuracy and insufflation consistency between the control line and test line on a reagent rapid test strip will be analyzed from the image after series processing. Findings - The system can identify failed products and regulate production conditions to insure that the quality standard is maintained. The idea edges of the control line and test line are the boundary at which a significant change occurs in the surface reflectance and illumination of the viewer. But the change of the real boundary of the test line may be insufficient for identification. Research limitations/implications - As the illumination of biological reagent images cannot be measured precisely in the production process, and the intensity of the background light source is difficult to control, there are always significant errors in the production process. If the environment at sampling could be precisely controlled, the accuracy of the system could be enhanced. Originality/value - This study developed software architecture for a biological reagent production and inspection system. Future studies will focus on the implementation of testing, and improvement of the system, so that it can be applied to medical systems for the benefit of all patients.
机译:目的-本文的目的是提出一种具有图像处理技术的试剂快速检测条生产系统的自动检查和控制方法。设计/方法/方法-使用荧光,颜色排列以及与数据库的组合匹配来识别生化试剂的响应。快速处理试纸上的控制线和测试线之间的位置精度和注入一致性将在批量处理后根据图像进行分析。调查结果-系统可以识别出故障产品并调节生产条件,以确保维持质量标准。控制线和测试线的概念边缘是观察者的表面反射率和照明发生明显变化的边界。但是,测试线实际边界的更改可能不足以识别。研究的局限性/意义-由于在生产过程中无法精确测量生物试剂图像的照度,并且背景光源的强度难以控制,因此在生产过程中始终存在重大错误。如果可以精确控制采样时的环境,则可以提高系统的准确性。原创性/价值-这项研究开发了用于生物试剂生产和检查系统的软件架构。未来的研究将侧重于测试的实施和系统的改进,以便可以将其应用于医疗系统,以使所有患者受益。

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