A Rapid Development Platform of Machine Vision

• Main Authors: Jui-Teng Chang, 張睿騰
• Other Authors: Pierre Chen
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/9gc59b

碩士 === 國立中央大學 === 資訊工程學系在職專班 === 102 === Machine vision technology has been widely applied in various fields, such as manufacturing line defect detection. The traditional processes to development machine vision take a lot of time and cost. In this paper, we proposed a development platform, based on Grafcet description language features, with rapid and Cross-Platform abilities to design machine vision systems. We use an open source software Beremiz as Grafcet editor and parse the process steps, function names and parameters from Grafcet XML file through the platform. It’s capable of rapid development and validation by use of this methodology. Based on Grafcet description language to create discrete events for the embedded system can clearly show all the actions, conditions and state transitions of the architecture. The advantage of this approach is to provide a user-friendly and clear functional interface for users modular-configuring development. It can effectively improve the system design tasks and complexities.