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Cyber-physical system for quality control of spur gears through artificial vision techniques

机译:通过人工视觉技术对正齿轮进行质量控制的网络物理系统

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This paper intends to implement and develop a platform oriented to Cyber-physical systems(CPS), through the integration of different kinds of devices such as a microcontroller, sensors and a IoT device. The prototype SECVIACPS uses free software and hardware to develop its operation, it could be accessible from any web browser with support of JavaScript. This platform will be focused for quality control of spur gear by utilizing technologies of artificial vision. Futhermore, the study was carried out on the applicability of the introduction of these cyberphysical systems in the Ecuadorian industry. For this, the processing time of the gears will be studied, achieving a low processing time per gear. Finally, the response time will be observed in the web application of the various actions input or output devices involved in that physical system, times to be analyzed in different types of local (intranet) and external (Internet) connections.
机译:本文旨在通过集成各种类型的设备(例如微控制器,传感器和IoT设备)来实现和开发面向网络物理系统(CPS)的平台。 SECVIACPS原型使用免费的软件和硬件来开发其操作,可以从任何支持JavaScript的Web浏览器中访问它。该平台将专注于利用人工视觉技术对正齿轮进行质量控制。此外,这项研究是针对在厄瓜多尔工业中引入这些网络物理系统的适用性而进行的。为此,将研究齿轮的加工时间,从而缩短每个齿轮的加工时间。最后,将在Web应用程序中观察该物理系统中涉及的各种动作输入或输出设备的响应时间,以及在不同类型的本地(内部网)和外部(互联网)连接中要分析的时间。

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