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Disclosed is a method for more efficient and reliable testing of visual devices using a web camera to extract a character image and perform a comparison to a known character image.
English (United States)
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Closed Loop Testing of Visual Devices
One challenge of testing visual devices is that the tester must monitor the output of the device under test at all times to ensure the correct data is being displayed. Not only is this time consuming, but is also error prone, especially when testing large data sets such as character sets. A method is needed to make this process more efficient and reduce opportunity for error.
The disclosed idea is to use a web camera to extract a character image and perform a comparison to a known character image. This saves a significant amount of time when one has to validate large number of characters for any given code page.
By utilizing a web camera, the method performs image processing on the output of visual Input/Output (I/O) devices and makes pass/fail decisions based upon the imagery. Two types of monitoring are proposed: • Simple: Perform a basic fuzzy image comparison between a known good image of the device output and the current output of the visual I/O.
• Optical Character Recognition (OCR): Isolates the interesting pixels from the image and creates a black and white image for conversion to OCR. At this point, a simple string comparison can be used to determine the validity of the output.
This testing methodology is applicable to the testing of Vacuum Fluorescent Display (VFDs) and Liquid Crystal Displays (LCDs).