A System for Testing Controllers Based on On-Screen Text Recognition
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Abstract
A solution for the problem of testing controllers based on reading information from their screens is described. A hardware and software system has been developed for this purpose, consisting of a camera and software modules implementing the necessary algorithms and methods: an image preprocessing module; a menu type detection module; a font character processing module; a text reading module, including one written in various fonts; and the testing module itself. The system has been developed for a specific type of controller with a monochrome 128x64 pixel display. All methods are implemented in Python using popular libraries. The system has been launched into test operation and currently automates several of the most labor-intensive tests. The test set can be expanded using plugins.
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References
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