A method for detecting ttl video signal generated by video source

Abstract

The invention belongs to the fields of liquid crystal module displaying and testing, and particularly relates to a method for detecting TTL video signals generated by a video source. The method comprises the steps that firstly, the electrical characteristics of the TTL video signals are detected, and a TTL electrical detection result is output; secondly, if the TTL electrical detection result shows that the quality of the TTL video signals is up to standard, each frame of RGB data in RGB video signals are cached, then the cached RGB data are sequentially compared with original image data to be detected, and an image data detection result is output. According to the method, the TTL video signals generated by the video source can be detected, operation is easy, economy and practicality are achieved, the integration level is high, work is reliable, the anti-interference capability is high, the reliability and efficiency of detecting a TTL liquid crystal module can be improved, and the equipment cost and production cost of the TTL liquid crystal module can be lowered.

Description

technical field [0001] The invention belongs to the field of display and testing of liquid crystal modules, and in particular relates to a method for detecting a TTL video signal generated by a video source. Background technique [0002] The use of liquid crystal display modules (Liquid Crystal Display Module, hereinafter referred to as modules) and related liquid crystal display devices (hereinafter referred to as devices) has become very common, and at the same time due to the TTL (Transistor Transistor Logic, transistor-transistor logic level) signal Stable and reliable, high transmission rate, and low power consumption, many modules and devices use this signal as a display interface for receiving video images. [0003] During the production, debugging and display process of the module and its equipment, it is necessary to generate a TTL video signal through the video image signal source or video adapter board (hereinafter referred to as the video source) to provide the s...

AI Technical Summary

Problems solved by technology

Operators of this detection method are not only prone to misjudgment, but it is difficult to locate the cause when a display problem occurs; and it is easily affected by human subjective recognition through human eyes. The operator is facing the image for a long time, and the eyes are very prone to fatigue, which will affect the detection. The result is affected; when the module is replaced, the test platform needs to be rebuilt, resulting in low efficiency and cumbersome operation

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