CN109444151A - A kind of liquid crystal display panel defect inspection method and its system - Google Patents

A kind of liquid crystal display panel defect inspection method and its system Download PDF

Info

Publication number
CN109444151A
CN109444151A CN201811359546.0A CN201811359546A CN109444151A CN 109444151 A CN109444151 A CN 109444151A CN 201811359546 A CN201811359546 A CN 201811359546A CN 109444151 A CN109444151 A CN 109444151A
Authority
CN
China
Prior art keywords
liquid crystal
crystal display
display panel
defect
detected
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201811359546.0A
Other languages
Chinese (zh)
Inventor
张沛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen China Star Optoelectronics Semiconductor Display Technology Co Ltd
Original Assignee
Shenzhen China Star Optoelectronics Semiconductor Display Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen China Star Optoelectronics Semiconductor Display Technology Co Ltd filed Critical Shenzhen China Star Optoelectronics Semiconductor Display Technology Co Ltd
Priority to CN201811359546.0A priority Critical patent/CN109444151A/en
Priority to PCT/CN2019/077042 priority patent/WO2020098181A1/en
Publication of CN109444151A publication Critical patent/CN109444151A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/95Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G01N2021/8854Grading and classifying of flaws
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G01N2021/8887Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/95Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • G01N2021/9513Liquid crystal panels

Landscapes

  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Liquid Crystal (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The invention discloses a kind of liquid crystal display panel defect inspection method and its systems.For liquid crystal display panel defect inspection method comprising steps of benchmark image makes, liquid crystal display panel image making to be detected identifies each region of liquid crystal display panel to be detected, identifies defect and statistical shortcomings pixel quantity.Liquid crystal display panel defect detecting system includes API detection device, picture taking lens, motor, backlight area and support construction, and wherein picture taking lens include polaroid, photosensitive element.Detection side and its system of the invention, overexposure can be carried out automatically to take pictures and image comparison detection, it is able to achieve burr simultaneously and checks all functions of board, to can be achieved with liquid crystal display panel defects detection process by only increasing a small amount of productive temp, effectively reduce the whole production cycle, equipment cost and human cost are reduced, Detection accuracy is more controllable, to improve detection reliability.

Description

A kind of liquid crystal display panel defect inspection method and its system
Technical field
The present invention relates to liquid crystal display panel defect detecting technique fields, more particularly, to a kind of liquid crystal display panel defect inspection method And its system.
Background technique
For the liquid crystal display panel after cutting in existing liquid crystal display (Liquid Crystal Display, LCD) industry Edge mainly uses burr inspection (Burr check) equipment of profession to carry out the edge cut quality of testing product, and whether there is or not broken for confirmation Side (Chipping), chimb salient angle, the defects of degree of balance is bad.
Wherein common detection mode is that (Application Program Interface, application program connect using API Mouthful) detection system detected, find AA (Active Area, effective display area domain) viewing area in liquid crystal display panel Method be to sample white picture, camera overexposure, after distinguishing the sealing area (Seal) and the viewing area AA through grey scale in conjunction with software, people Work checks each area defects.
The detection mode need to separately purchase professional burr and check board, product transmission equipment, this increases to a certain extent Production cost.Further, artificial detection is finally needed, and the accuracy rate of artificial detection is uncontrollable, reliability is relatively low, And detection process period is long.
Therefore, it is necessory to develop a kind of novel detection method and its system, to overcome defect in the prior art.
Summary of the invention
To solve the above problems, the present invention provides a kind of liquid crystal display panel defect inspection method and its system, can automatically into Row overexposure is taken pictures to be detected with image comparison, while including API detection device, is able to achieve burr and is checked all functions of board, thus It can be achieved with liquid crystal display panel defects detection process by only increasing a small amount of productive temp, effectively reduce the whole production cycle, Equipment cost and human cost are reduced, Detection accuracy is more controllable, to improve detection reliability.
An embodiment of the invention provides a kind of liquid crystal display panel defect inspection method, and the detection method includes:
S1, benchmark image making step acquire each area image of benchmark liquid crystal display panel, carry out geometric correction to described image And filtering processing, benchmark image, is distinguished in collected each area image by software through grey scale as a comparison The backlight area (Backlight, BL) and liquid crystal display panel area edge boundary, record each area pixel grayscale value, define each area Domain grayscale value range;
S2, liquid crystal display panel image making step to be detected with overexposure state acquisition liquid crystal display panel image to be detected, and are obtained The grayscale value range in each region;
S3, identification each region step of liquid crystal display panel to be detected, by each area image of liquid crystal display panel to be detected with it is described Benchmark image compares and analyzes, and identifies the liquid crystal display panel figure to be detected according to each region grayscale value range of the benchmark image Its backlight area and liquid crystal display panel area are known in turn in each region as in;
S4, identify defect step, analyze the straightness on four side of detection liquid crystal display panel area image identified, and with The benchmark image corresponding position compares, when the difference of the two is more than predetermined value, then it is assumed that the liquid crystal surface to be detected Plate existing defects, wherein the predetermined value is within the scope of 0.1~0.5mm.
Further, wherein the defect detected includes cutting accuracy exception defect, to compare liquid crystal to be detected The edge boundary of panel image and comparison benchmark image calculates in the liquid crystal display panel image to be detected and in comparison benchmark image It is different to belong to cutting accuracy when any side length deviation is greater than the predetermined value for the side length deviation on the corresponding each side of panel Normal defect;Wherein the predetermined value is within the scope of 0.15~0.5mm.
Further, wherein the defect detected includes cutting chimb salient angle defect, to calculate liquid crystal surface to be detected Plate image is at a distance from each side of the corresponding panel in comparison benchmark image, described in liquid crystal display panel area to be detected any side protrusion When comparing the distance values of benchmark panel area corresponding edge greater than the predetermined value, belong to chimb salient angle defect;It is wherein described Predetermined value is within the scope of 0.1-0.25mm.
Further, wherein the defect detected includes fragmentation defect, to calculate liquid crystal display panel image to be detected At a distance from panel in comparison benchmark image accordingly each side, when the liquid crystal display panel area to be detected any side is retracted the comparison base When the distance values of quasi- panel area corresponding edge are greater than the predetermined value, belong to fragmentation defect;Wherein the predetermined value exists Within the scope of 0.1-0.25mm.
Further, liquid crystal display panel defect inspection method further comprises the steps of:
S5, statistical shortcomings pixel quantity step calculate liquid crystal display panel to be detected in processing unit and compare benchmark panel Difference pixel quantity is liquid crystal display panel defect pixel quantity to be detected when the difference pixel quantity is greater than 5, according to The size of the liquid crystal display panel defect pixel quantity to be detected divides defect rank.
Further, it is wherein divided and is lacked according to the size of the liquid crystal display panel defect pixel quantity to be detected described in step S5 Sunken grade specifically includes: counting meter respectively according to cutting accuracy exception defect, chimb salient angle defect described in step S4, fragmentation defect Calculation obtains the liquid crystal display panel defect pixel quantity to be detected;Or, according to cutting accuracy exception defect described in step S4, convex Side salient angle defect, fragmentation defect read group total obtain the liquid crystal display panel defect pixel quantity to be detected;Or, according to step S4 institute State cutting accuracy exception defect, chimb salient angle defect, fragmentation defect weighted sum are calculated the liquid crystal display panel to be detected and lack Fall into pixel quantity.It can realize that different classes of defect counts respectively in such a way that the classification of defect calculates separately, using defect The statistics available total defect area size of the mode of classification read group total is summed using the class weights of defect and is counted convenient for quickly identifying Influence degree can be compareed according to different weights to be arranged by calculating.
It further, described in step S2 is wherein that will take pictures in a manner of overexposure state acquisition liquid crystal display panel image to be detected Polarization effect removal on camera lens, makes it that overexposure state be presented, and obtains liquid crystal display panel image to be detected to shoot.
Further, wherein the mode by the polarization effect removal on picture taking lens is to drive the bat by motor The polaroid looked in the mirror on head is removed, or the upper polaroid or down polaroid of the polaroid on the picture taking lens are driven by motor It is rotated by 90 °, keeps upper polaroid parallel with down polaroid polarization direction without polarization effect.
An embodiment of the invention provides a kind of liquid crystal display panel defect detecting system, including API detection device, bat It looks in the mirror head, motor, backlight area and support construction.Wherein the API detection device is for handling received data and output processing As a result.The picture taking lens obtain comparison benchmark image and liquid crystal display panel image to be detected and by described image data for shooting It is sent to the API detection device, the picture taking lens include polaroid (Polarizer, POL), photosensitive element;The motor For the polaroid on picture taking lens is mobile;For the back lighting device for providing backlight when shooting, the back lighting device is fixed The center in the backlight area of justice is oppositely arranged with the picture taking lens;The support construction is located at around the back lighting device, institute The backlight area that the regional scope that support construction surrounds is defined with the back lighting device is stated to be oppositely arranged.
Wherein, the opportunity that rotation polaroid can be set according to the pitch time period using motor control, thus more intelligent And automation.The regional scope and the backlight area that support construction surrounds, which are oppositely arranged, can make the unsupported structure of picture taking lens Influence, backlight area is shot it is complete, can better discriminance analysis.The backlight that backlight area provides when shooting can will be to be detected The edge-illuminated of liquid crystal display panel, overexposure state acquisition liquid crystal display panel image to be detected side when making liquid crystal display panel image making to be detected Edge is apparent.
The beneficial effects of the present invention are: the present invention provides a kind of liquid crystal display panel defect inspection method and its device, it can be certainly The dynamic overexposure that carries out is taken pictures and image comparison detection, while including API detection device, is able to achieve burr and is checked all functions of board, So as to can be achieved with liquid crystal display panel defects detection process by only increasing a small amount of productive temp, whole production week is effectively reduced Phase reduces equipment cost and human cost, and Detection accuracy is more controllable, to improve detection reliability.
Detailed description of the invention
Fig. 1 is the flow chart of the liquid crystal display panel defect inspection method of first embodiment of the invention;
Fig. 2 is the flow chart of the liquid crystal display panel defect inspection method of second embodiment of the invention;
Fig. 3 is the liquid crystal display panel image to be detected and benchmark image contrast schematic diagram of third embodiment of the invention;
Fig. 4 is the liquid crystal display panel defect detecting system main view of fourth embodiment of the invention;
Fig. 5 is the liquid crystal display panel defect detecting system top view of fifth embodiment of the invention.
Component mark is as follows in figure:
1, backlight area, 2, liquid crystal display panel area, 3, chimb salient angle, 4, fragmentation,
5, cutting accuracy is abnormal, 6, picture taking lens, 7, motor, 8, support construction,
9, back lighting device, 21, seal area, 22, the viewing area AA, 61, polaroid,
62, photosensitive element.
Specific embodiment
An embodiment of the invention provides liquid crystal display panel defect inspection method, please refers to shown in Fig. 1, Fig. 3, described Detection method includes:
S1, benchmark image making step acquire each area image of benchmark liquid crystal display panel, carry out geometric correction to described image And filtering processing, benchmark image, is distinguished in collected each area image by software through grey scale as a comparison Backlight area 1 and liquid crystal display panel area 2 edge boundary, record each area pixel grayscale value, define each region grayscale value range.
Wherein, liquid crystal display panel area 2 includes seal area 21 and the viewing area AA 22, and the viewing area AA 22 is actually having for liquid crystal display panel Imitate display area.
S2, liquid crystal display panel image making step to be detected with overexposure state acquisition liquid crystal display panel image to be detected, and are obtained The grayscale value range in each region.
Wherein, described is by the polarisation on picture taking lens 6 in a manner of overexposure state acquisition liquid crystal display panel image to be detected Effect removal, makes it that overexposure state be presented, and obtains liquid crystal display panel image to be detected to shoot.It is wherein described by picture taking lens 6 On polarization effect removal mode be drive the polaroid 61 on the picture taking lens to remove by motor 7, or pass through motor 7 The upper polaroid (not shown) or down polaroid (not shown) for driving the polaroid 61 on the picture taking lens are rotated by 90 °, and are made Polaroid is parallel with down polaroid polarization direction without polarization effect.It can be according to the pitch time period using the control of motor 7 Come set polarization effect removal opportunity, thus it is more intelligent and automation.Wherein, overexposure, which refers to, makes picture under the great time for exposure Complete white characteristic is presented in face, to highlight boundary.
S3, identification each region step of liquid crystal display panel to be detected, by each area image of liquid crystal display panel to be detected with it is described Benchmark image compares and analyzes, and identifies the liquid crystal display panel figure to be detected according to each region grayscale value range of the benchmark image Its backlight area 1 and liquid crystal display panel area 2 are known in turn in each region as in.
The straightness on four side of detection liquid crystal display panel area image that S4, analysis identify, and with the benchmark image Corresponding position compares, when the difference of the two is more than predetermined value, then it is assumed that the liquid crystal display panel existing defects to be detected, Described in predetermined value within the scope of 0.1~0.5mm.
Further, wherein the defect detected includes cutting accuracy exception defect, to compare liquid crystal to be detected The edge boundary of panel image and comparison benchmark image calculates in the liquid crystal display panel image to be detected and in comparison benchmark image It is different to belong to cutting accuracy when any side length deviation is greater than the predetermined value for the side length deviation on the corresponding each side of panel Normal defect;Wherein the predetermined value is within the scope of 0.15~0.5mm.
Further, wherein the defect detected includes cutting chimb salient angle defect, to calculate liquid crystal surface to be detected Plate image is at a distance from each side of the corresponding panel in comparison benchmark image, described in liquid crystal display panel area to be detected any side protrusion When comparing the distance values of benchmark panel area corresponding edge greater than the predetermined value, belong to chimb salient angle defect;It is wherein described Predetermined value is within the scope of 0.1-0.25mm.
Further, wherein the defect detected includes fragmentation defect, to calculate liquid crystal display panel image to be detected At a distance from panel in comparison benchmark image accordingly each side, when the liquid crystal display panel area to be detected any side is retracted the comparison base When the distance values of quasi- panel area corresponding edge are greater than the predetermined value, belong to fragmentation defect;Wherein the predetermined value exists Within the scope of 0.1-0.25mm.
Further, calculate liquid crystal display panel to be detected and the side length deviation and calculating that compare the corresponding each side of benchmark panel to Detect liquid crystal display panel and comparison benchmark panel accordingly at a distance from each side can according to the every pixel physical length of liquid crystal display panel to be detected and It is long that liquid crystal display panel actual defects to be detected are calculated in the proportionate relationship of the every pixel physical length of photosensitive element 62 of picture taking lens 6 Degree.
It please refers to shown in Fig. 2, liquid crystal display panel defect inspection method further comprises the steps of:
S5, statistical shortcomings pixel quantity step calculate liquid crystal display panel to be detected in processing unit and compare benchmark panel Difference pixel quantity is liquid crystal display panel defect pixel quantity to be detected when the difference pixel quantity is greater than 5, according to The size of the liquid crystal display panel defect pixel quantity to be detected divides defect rank.The difference pixel quantity range can basis Actual requirement precision set, general setting range are 5-10.
Wherein, described specifically to be wrapped according to the size of the liquid crystal display panel defect pixel quantity to be detected division defect rank It includes: institute being calculated respectively according to cutting accuracy exception defect 5, chimb salient angle defect 3 described in step S4, fragmentation defect 4 State liquid crystal display panel defect pixel quantity to be detected;Or, according to cutting accuracy exception defect 5, chimb salient angle described in step S4 Defect 3,4 read group total of fragmentation defect obtain the liquid crystal display panel defect pixel quantity to be detected;Or, being cut according to described in step S4 Cut precision exception defect 5, the liquid crystal display panel defect to be detected is calculated in chimb salient angle defect 3,4 weighted sum of fragmentation defect Pixel quantity.It can realize that different classes of defect counts respectively in such a way that the classification of defect calculates separately, using the class of defect The statistics available total defect area size of the mode of other read group total is convenient for quickly identifying, using the class weights read group total of defect Influence degree can be compareed according to different weights to be arranged.
In addition, the result of the defect rank of the liquid crystal display panel to be detected produces detection report or report, to consult.
Another embodiment of the invention provides a kind of liquid crystal display panel defect detecting system, and described device can be realized The detection method of any of the above-described.
It please refers to another embodiment of the invention shown in Fig. 4-Fig. 5 and provides a kind of liquid crystal display panel defects detection system System, including API detection device (not shown), picture taking lens 6, motor 7, back lighting device 9 and support construction 8.The wherein API inspection Device (not shown) is surveyed for handling received data and output processing result.The picture taking lens 6 are compared for shooting Described image data are simultaneously sent to the API detection device (not shown), institute by benchmark image and liquid crystal display panel image to be detected Stating picture taking lens 6 includes polaroid 61, photosensitive element 62;The motor 7 is used for the polaroid 61 on picture taking lens 6 is mobile; The back lighting device 9 is taken pictures for providing backlight, the center in the backlight area 1 that the back lighting device 9 defines when shooting with described Camera lens is oppositely arranged;The support construction 8 is located at around the back lighting device 9, the regional scope that the support construction 8 surrounds It is oppositely arranged with the backlight area 1 of the back lighting device 9 definition.
Wherein, the opportunity that rotation polaroid 61 can be set according to the pitch time period is controlled using motor 7, thus more intelligence It can and automate.The regional scope that support construction 8 surrounds is oppositely arranged with the backlight area 1 can be such that picture taking lens 6 are not propped up The influence of support structure 8 shoots backlight area 1 completely, can better discriminance analysis.The backlight that backlight area 1 provides when shooting Can be by the edge-illuminated of liquid crystal display panel to be detected, overexposure state acquisition liquid crystal to be detected when making liquid crystal display panel image making to be detected Panel image edge is apparent.
The beneficial effects of the present invention are: the present invention provides a kind of liquid crystal display panel defect inspection method and device, it can be automatic It carries out overexposure to take pictures and image comparison detection, while including API detection device, be able to achieve burr and check all functions of board, from And liquid crystal display panel defects detection process can be can be achieved with by only increasing a small amount of productive temp, effectively reduce whole production week Phase reduces equipment cost and human cost, and Detection accuracy is more controllable, to improve detection reliability.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art Member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications also should be regarded as Protection scope of the present invention.

Claims (10)

1. a kind of liquid crystal display panel defect inspection method, which is characterized in that the detection method includes:
S1, benchmark image making step acquire each area image of benchmark liquid crystal display panel, carry out geometric correction and filter to described image Wave processing, benchmark image, distinguishes the back in collected each area image through grey scale by software as a comparison The edge boundary in light area and liquid crystal display panel area records each area pixel grayscale value, defines each region grayscale value range;
S2, liquid crystal display panel image making step to be detected with overexposure state acquisition liquid crystal display panel image to be detected, and obtain each area The grayscale value range in domain;
S3, identification each region step of liquid crystal display panel to be detected, by each area image of liquid crystal display panel to be detected and the benchmark Image compares and analyzes, and is identified in the liquid crystal display panel image to be detected according to each region grayscale value range of the benchmark image Each region so that know its backlight area and liquid crystal display panel area;
S4, identify defect step, analyze the straightness on four side of detection liquid crystal display panel area image identified, and with it is described Benchmark image corresponding position compares, when the difference of the two is more than predetermined value, then it is assumed that the liquid crystal display panel to be detected is deposited In defect, wherein the predetermined value is within the scope of 0.1~0.5mm.
2. liquid crystal display panel defect inspection method according to claim 1, which is characterized in that is detected in step S4 is described Defect includes cutting accuracy exception defect, to compare liquid crystal display panel image to be detected and comparing the edge boundary of benchmark image, The side length deviation for calculating each side corresponding to panel in comparison benchmark image in the liquid crystal display panel image to be detected, works as any side When long deviation is greater than the predetermined value, belong to cutting accuracy exception defect;Wherein the predetermined value 0.15~ Within the scope of 0.5mm.
3. liquid crystal display panel defect inspection method according to claim 1, which is characterized in that is detected in step S4 is described Defect includes cutting chimb salient angle defect, to calculate each side of the corresponding panel in liquid crystal display panel image to be detected and comparison benchmark image Distance, when the distance values of the prominent comparison benchmark panel area corresponding edge of the liquid crystal display panel area to be detected any side are greater than When the predetermined value, belong to chimb salient angle defect;Wherein the predetermined value is within the scope of 0.1-0.25mm.
4. liquid crystal display panel defect inspection method according to claim 1, which is characterized in that is detected in step S4 is described Defect includes fragmentation defect, for calculate liquid crystal display panel image to be detected each side corresponding with panel in benchmark image is compared away from From when the liquid crystal display panel area to be detected any side is retracted the distance values of the comparison benchmark panel area corresponding edge greater than described When predetermined value, belong to fragmentation defect;Wherein the predetermined value is within the scope of 0.1-0.25mm.
5. liquid crystal display panel defect inspection method according to claim 1, which is characterized in that further comprise the steps of:
S5, statistical shortcomings pixel quantity step calculate liquid crystal display panel to be detected in processing unit and compare the difference of benchmark panel Pixel quantity is liquid crystal display panel defect pixel quantity to be detected, according to described when the difference pixel quantity is greater than 5 The size of liquid crystal display panel defect pixel quantity to be detected divides defect rank.
6. liquid crystal display panel defect inspection method according to claim 5, which is characterized in that described in step S5 according to it is described to The size of detection liquid crystal display panel defect pixel quantity divides defect rank and specifically includes:
It is calculated respectively according to cutting accuracy exception defect, chimb salient angle defect described in step S4, fragmentation defect described Liquid crystal display panel defect pixel quantity to be detected.
7. liquid crystal display panel defect inspection method according to claim 5, which is characterized in that described in step S5 according to it is described to The size of detection liquid crystal display panel defect pixel quantity divides defect rank and specifically includes:
It is calculated according to cutting accuracy exception defect, chimb salient angle defect described in step S4, fragmentation defect weighted sum described Liquid crystal display panel defect pixel quantity to be detected.
8. liquid crystal display panel defect inspection method according to claim 1, which is characterized in that with overexposure state described in step S2 The mode for acquiring liquid crystal display panel image to be detected is to make it that overexposure state be presented the polarization effect removal on picture taking lens, from And it shoots and obtains liquid crystal display panel image to be detected.
9. liquid crystal display panel defect inspection method according to claim 8, which is characterized in that it is described will be inclined on picture taking lens The mode of light effect removal is to drive the polaroid on the picture taking lens to remove by motor, or drive the bat by motor The upper polaroid of the polaroid on head of looking in the mirror or down polaroid are rotated by 90 °, and keep upper polaroid parallel with down polaroid polarization direction Without polarization effect.
10. a kind of liquid crystal display panel defect detecting system characterized by comprising
API detection device, for handling received data and output processing result;
Picture taking lens, for shooting acquisition comparison benchmark image and liquid crystal display panel image to be detected and sending described image data To the API detection device, the picture taking lens include polaroid (Polarizer, POL), photosensitive element;
Motor, for the polaroid on picture taking lens is mobile;
Back lighting device provides backlight, the center in the backlight area that the back lighting device defines and the mirror of taking pictures when for shooting Head is oppositely arranged;
Support construction, around the back lighting device, regional scope and the back lighting device that the support construction surrounds The backlight area of definition is oppositely arranged.
CN201811359546.0A 2018-11-15 2018-11-15 A kind of liquid crystal display panel defect inspection method and its system Pending CN109444151A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201811359546.0A CN109444151A (en) 2018-11-15 2018-11-15 A kind of liquid crystal display panel defect inspection method and its system
PCT/CN2019/077042 WO2020098181A1 (en) 2018-11-15 2019-03-05 Liquid crystal panel defect detection method and system thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811359546.0A CN109444151A (en) 2018-11-15 2018-11-15 A kind of liquid crystal display panel defect inspection method and its system

Publications (1)

Publication Number Publication Date
CN109444151A true CN109444151A (en) 2019-03-08

Family

ID=65553588

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811359546.0A Pending CN109444151A (en) 2018-11-15 2018-11-15 A kind of liquid crystal display panel defect inspection method and its system

Country Status (2)

Country Link
CN (1) CN109444151A (en)
WO (1) WO2020098181A1 (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020098181A1 (en) * 2018-11-15 2020-05-22 深圳市华星光电半导体显示技术有限公司 Liquid crystal panel defect detection method and system thereof
CN111693533A (en) * 2020-06-11 2020-09-22 南通通富微电子有限公司 Workpiece surface quality detection method and device and appearance machine
CN112763511A (en) * 2020-12-24 2021-05-07 深圳市华星光电半导体显示技术有限公司 Method for detecting line defect of display panel
CN112945984A (en) * 2021-02-01 2021-06-11 深圳市华星光电半导体显示技术有限公司 Detection method and detection device for display panel
CN115061294A (en) * 2022-06-28 2022-09-16 Tcl华星光电技术有限公司 Method and system for repairing defects of liquid crystal display panel and storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN203337939U (en) * 2013-06-24 2013-12-11 京东方科技集团股份有限公司 Detection device of liquid crystal display panel
CN107845087A (en) * 2017-10-09 2018-03-27 深圳市华星光电半导体显示技术有限公司 The detection method and system of the uneven defect of liquid crystal panel lightness
CN108663225A (en) * 2018-05-31 2018-10-16 沪东中华造船(集团)有限公司 A method of examining numerical control cutting machine cutting accuracy

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103760165B (en) * 2013-12-31 2016-08-17 深圳市华星光电技术有限公司 The defect inspection method of display floater and defect detecting device
KR20160147125A (en) * 2015-06-11 2016-12-22 삼성디스플레이 주식회사 Image correction unit, liquid crystal display device including the same
CN105447851B (en) * 2015-11-12 2018-02-02 刘新辉 The sound hole defect inspection method and system of a kind of glass panel
JP2017169086A (en) * 2016-03-17 2017-09-21 セイコーエプソン株式会社 Display device, control method for display device, and program
CN106127779B (en) * 2016-06-29 2018-12-11 上海晨兴希姆通电子科技有限公司 The defect inspection method and system of view-based access control model identification
CN106447657B (en) * 2016-09-23 2019-04-05 电子科技大学 A kind of IC particle region defect inspection method based on local mean value thought
CN109444151A (en) * 2018-11-15 2019-03-08 深圳市华星光电半导体显示技术有限公司 A kind of liquid crystal display panel defect inspection method and its system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN203337939U (en) * 2013-06-24 2013-12-11 京东方科技集团股份有限公司 Detection device of liquid crystal display panel
CN107845087A (en) * 2017-10-09 2018-03-27 深圳市华星光电半导体显示技术有限公司 The detection method and system of the uneven defect of liquid crystal panel lightness
CN108663225A (en) * 2018-05-31 2018-10-16 沪东中华造船(集团)有限公司 A method of examining numerical control cutting machine cutting accuracy

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
高晓滨等: "《基于机器视觉的印刷品缺陷检测的改进》", 《印刷杂志》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020098181A1 (en) * 2018-11-15 2020-05-22 深圳市华星光电半导体显示技术有限公司 Liquid crystal panel defect detection method and system thereof
CN111693533A (en) * 2020-06-11 2020-09-22 南通通富微电子有限公司 Workpiece surface quality detection method and device and appearance machine
CN111693533B (en) * 2020-06-11 2023-01-20 南通通富微电子有限公司 Workpiece surface quality detection method and device and appearance machine
CN112763511A (en) * 2020-12-24 2021-05-07 深圳市华星光电半导体显示技术有限公司 Method for detecting line defect of display panel
CN112945984A (en) * 2021-02-01 2021-06-11 深圳市华星光电半导体显示技术有限公司 Detection method and detection device for display panel
CN115061294A (en) * 2022-06-28 2022-09-16 Tcl华星光电技术有限公司 Method and system for repairing defects of liquid crystal display panel and storage medium

Also Published As

Publication number Publication date
WO2020098181A1 (en) 2020-05-22

Similar Documents

Publication Publication Date Title
CN109444151A (en) A kind of liquid crystal display panel defect inspection method and its system
CN101655614B (en) Method and device for detecting cloud pattern defects of liquid crystal display panel
CN103994786B (en) Image detecting method for arc ruler lines of pointer instrument scale
TWI734888B (en) Conveyor inspection system and conveying device
CN103558229B (en) A kind of MURA vision automatic testing method of TFT-LCD processing procedure and device
WO2018121269A1 (en) Film detection system, detection method, and device
CN106231295A (en) A kind of display screen image quality automatic checkout system, detection method and application thereof
CN102661715A (en) CCD (charge coupled device) type clearance measurement system and method
CN108507484B (en) Bundled round steel multi-vision visual identifying system and method for counting
CN104333694A (en) Method for preventing store visiting photo from being counterfeited
CN108531385A (en) A kind of microbe colony robot scaler
CN112333443A (en) Lens performance detection system and method
CN113624458B (en) Film uniformity detecting system based on double-path full-projection light
CN217112049U (en) Screen color uniformity detection device
CN117455912B (en) Corn cob and grain panoramic counting method and counting system based on three plane mirrors
CN113834785A (en) Screen color uniformity detection method and device
TWI473026B (en) Image display system, display apparatus, and image display method
CN104581148B (en) Method for measuring 3D crosstalk values of liquid crystal display
CN207946065U (en) Bundled round steel multi-vision visual identifying system
CN101685240A (en) Method for judging focusing quality of image extracting device
CN109738459A (en) Surface cleanness on-line monitoring system
CN215865741U (en) Film uniformity detection system based on optical diffraction
CN103796007B (en) Automatic adjustment method and system for naked-eye stereoscopic display device
Hansen et al. Performance and applications of an automated c-axis ice-fabric analyzer
CN112085689A (en) Mura defect detection method, device, equipment and system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20190308

RJ01 Rejection of invention patent application after publication