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LED display screen defect detection method

A technology for display screen and defect detection, applied in static indicators, instruments, etc., can solve the problems of low detection efficiency of LED display screen, incompatibility of large LED screen detection, blurred vision affecting employees' health, etc., to avoid employee health problems, Achieve the effect of eliminating and avoiding missed inspections

Pending Publication Date: 2019-08-30
ZHUHAI GREE INTELLIGENT EQUIP CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the low efficiency of defect detection of LED display screens in the prior art. Employees staring at the bright LED screen beads for a long time may easily cause blurred vision and affect the health of employees. The false detection rate is high and multiple LED screen modules Assembling and combining large LED screens is not compatible with the technical problem of detection, providing a method for detecting defects in LED display screens

Method used

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Examples

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specific Embodiment 1

[0035] Power on the large-scale LED display screen, control the lamp beads on the LED display screen to display according to the preset image sequence, and the image sequence is sequentially switched according to the preset order to form a screen picture. In this embodiment, in order to comprehensively detect the LED display The LED bead defect of the screen, the image sequence is an array of arithmetic progressions, in which the elements in the array are the serial numbers of the LED lamp beads that are normally illuminated, and the elements that are not in the array are the serial numbers of the LED lamp beads that are not illuminated, including two types, one is The difference is an arithmetic sequence of zero, and the screen picture formed when the LED display screen is displayed is a monochromatic full-screen image, and the full-screen image includes a red full-screen image, a green full-screen image, a blue full-screen image, and a white full-screen image; one is a differe...

specific Embodiment 2

[0044] The difference between this embodiment and specific embodiment 1 is that this embodiment adopts serial control logic for detection, that is, 16 different image sequences are based on switching→detection→switching→detection→...→switching→detection, each Once the image is switched, the industrial camera is controlled to capture the current large-scale LED screen image, and then the image is inspected for defects. If the current image is detected to be qualified, the next image sequence will be switched and inspected; if the current image is detected to be unqualified, it will be stopped. Subsequent image sequence switching and detection tasks directly determine that the current large LED screen is a defective product.

specific Embodiment 3

[0046] The difference from Embodiment 1 or Embodiment 2 is that this embodiment calculates the pixel feature for the position of each LED light bead in the screen image.

[0047] Such as Figure 4 As shown, the LED display screen defect detection method of the present embodiment, the method includes the following steps:

[0048] S201: The lamp beads on the LED display screen are displayed according to a preset image sequence, and the image sequence is sequentially switched according to a preset sequence to form a screen image;

[0049] S202: Obtain the screen image picture of the LED display screen each time it is displayed according to a preset image sequence;

[0050] S203: Calculate the pixel feature of each LED lamp bead position in the screen image,

[0051] Specifically, according to the theory of digital image processing, an image is composed of pixels, and the unit of a pixel is pixel, which represents the minimum feature of a digital image. Each pixel has a gray va...

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Abstract

The invention discloses an LED display screen defect detection method which comprises the steps that lamp beads on an LED display screen are displayed according to a preset image sequence, and the image sequence is sequentially switched according to a preset sequence to form a screen picture; a screen image picture of the LED display screen is obtained when the LED display screen displays according to the image sequence each time; and a screen image picture is detected according to the defect detection rule so as to judge the defects of the LED display screen. According to the invention, thedefect of the LED display screen is judged by detecting the screen image picture; full-automatic detection of lamp bead defects of a large LED screen can be rapidly completed; manual participation isnot needed in the whole detection process; the detection efficiency and reliability are improved; the problem of missed detection is avoided, the problem of staff health caused by manual visual detection is also avoided, various lamp bead defects can be rapidly and effectively recognized, rejection of large LED screen defective products is achieved, the detection efficiency of the large LED screenlamp bead defects is improved, and the finished product quality of a large LED screen is improved.

Description

technical field [0001] The invention relates to the field of display technology, in particular to a defect detection method for an LED display screen. Background technique [0002] Nowadays, most display devices use LED display screens, but due to the limitation of manufacturing process, LED display screens often have defects, so LED display screens need to be inspected. Large-scale LED screen lamp bead defect detection mainly depends on manual visual inspection. Affected by factors such as the staff's work experience, work attitude, and visual fatigue after long-term work, and sometimes it is difficult for the human eye to distinguish the defects of the LED display screen, the efficiency is low, and the staff stares at the bright LED screen beads for a long time , It is easy to cause blurred vision and affect the health of employees, and the false detection rate will also be greatly increased; in the industry, machine vision technology is used to realize the automatic detec...

Claims

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Application Information

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IPC IPC(8): G09G3/00
CPCG09G3/006
Inventor 朱元丰宋明岑
Owner ZHUHAI GREE INTELLIGENT EQUIP CO LTD
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