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E3TAM

Visual defect and dead-pixel detection on TV panels

Application example

In a dark enclosure the panel shows black, white and grey test screens in turn; the pattern generator triggers the camera on each screen and a high-resolution camera captures it. Image processing counts dead and bright pixels, measures the contrast of a mura patch and marks the positions.

test screenshigh-resolution camerapixel analysismura measurement
Information delivered

Defect count, position and mura contrast of every test screen are written to the panel record; if a limit is exceeded the panel is routed to repair, and the stack light and operator display show the result.

Visual defect and dead-pixel detection on TV panelsILLUSTRATIVE SIMULATION
Visual defect and dead-pixel detection on TV panels
  1. 01 Test screen
  2. 02 Acquire
  3. 03 Analyse
  4. 04 Decide
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The panel shows a uniform test screen: black, white or grey; the pattern generator triggers the camera.

Test screen
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Defective pixels
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Mura contrast
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Scenes are illustrative simulations; they are not customer references or performance guarantees.

Need

A dead pixel is one among the millions on the screen; if the camera sampling is not matched to the pixel pitch of the panel, moiré appears in the image and masks a single-pixel defect. Mura is a low-contrast patch with no sharp boundary. Ambient light and reflections on the panel hide both defects.

Solution approach

In a dark room the panel shows black, white and grey test screens in turn; the pattern generator triggers the camera at each change and one frame covers the whole panel. No lighting is added: the panel is the light source. Pixels darker than their neighbours are counted on white, bright pixels on black; on grey, the luminance difference left after low-pass filtering is the mura contrast.

Process steps

  1. 01

    Test screen

    The panel shows a uniform test screen: black, white or grey; the pattern generator triggers the camera.

  2. 02

    Acquire

    The camera captures the whole screen in a single frame in the dark.

  3. 03

    Analyse

    The image is scanned for pixels and regions that deviate from their neighbours.

  4. 04

    Decide

    Defect count and contrast are compared with the limits; the result is shown on the stack light.

Vision system design

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