Method and device for detecting display

Abstract

The invention discloses a method and a device for detecting a display. The method is characterized by comprising the steps of controlling an image signal generator to generate a chessboard image, and controlling the image signal generator to send the chessboard image to the to-be-detected display, so that the display displays the received chessboard image; controlling a camera to shoot the chessboard image displayed on the display, and obtaining the chessboard image shot by the camera; judging whether the number of angular points of the obtained chessboard image is H, H=(N+1)*(M+1); if yes, judging the display does not exist an apparent display defect; and if no, judging the display exists the apparent display defect; and correspondingly, the invention further discloses a device for detecting the display. By adopting the method and the device disclosed by the embodiment of the invention, as an automation standard is adopted for detecting, the accuracy is high, and whether the display exists the display defect can be detected out accurately.

Description

technical field [0001] The invention relates to the field of electronic technology, in particular to a method and device for detecting a display. Background technique [0002] Generally, after the TV is assembled, there is a test station in the TV production line to test whether the TV display is abnormal. The test content includes screen brightness, color saturation, etc. , dark spots, bright lines, dark lines, cracks, yin-yang screens, local offsets and other abnormalities. At present, the practice of most TV factories is: when the TV on the assembly line is transferred to the test station, the worker connects the other end of the HDMI cable (or VGA cable) connected to the image signal generator to the TV, and then Use the remote control to switch to the corresponding channel, such as the HDMI channel or VGA channel, and the TV will display the image input by the image signal generator. The worker then observes with the naked eye whether the screen brightness and color sa...

AI Technical Summary

Problems solved by technology

[0003] The above detection scheme has the following defects: by manually judging whether the display screen brightness of the TV is normal, and whether the screen has bright spots, dark spots, bright lines, dark lines, cracks, yin-yang screens, partial offsets, etc., it is easy to make mistakes. judgment, and for the application scenarios that need to detect a large number of displays, the detection efficiency of the above scheme is low

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