CN108844966A - A kind of screen detection method and detection system - Google Patents
A kind of screen detection method and detection system Download PDFInfo
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- CN108844966A CN108844966A CN201810746927.8A CN201810746927A CN108844966A CN 108844966 A CN108844966 A CN 108844966A CN 201810746927 A CN201810746927 A CN 201810746927A CN 108844966 A CN108844966 A CN 108844966A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/956—Inspecting patterns on the surface of objects
- G01N21/95607—Inspecting patterns on the surface of objects using a comparative method
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- G—PHYSICS
- G02—OPTICS
- G02F—OPTICAL DEVICES OR ARRANGEMENTS FOR THE CONTROL OF LIGHT BY MODIFICATION OF THE OPTICAL PROPERTIES OF THE MEDIA OF THE ELEMENTS INVOLVED THEREIN; NON-LINEAR OPTICS; FREQUENCY-CHANGING OF LIGHT; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
- G02F1/00—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics
- G02F1/01—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour
- G02F1/13—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour based on liquid crystals, e.g. single liquid crystal display cells
- G02F1/1306—Details
- G02F1/1309—Repairing; Testing
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Abstract
The invention discloses a kind of screen detection method, it can be achieved that the detection of the common lighting defect such as liquid crystal display point, line and Mura, including：By the way that the sampled pixel gray value in X-axis in screen to be detected, Y direction is corresponded to X-axis in normal screen, the control grey scale pixel value period in Y direction makes the difference, when difference is greater than preset value, when i.e. the variable quantity of sampled pixel gray value is greater than preset value, then it is determined as screen point, line defect.Further include：Using the Mura defects of artificial intelligence detection method detection screen.The present invention also provides a kind of screen detection system, including detection zone, the detection zone includes：Acquisition device, storage device, judgment means and visual-alignment device.The present invention provides a kind of screen detection method, point defect, line defect and the Mura defects of screen are detected by periodical algorithms, artificial intelligence detection method, meanwhile the present invention also provides a kind of screen detection systems, improve efficiency, precision and the level of informatization of screen detection.
Description
Technical field
The present invention relates to screen detection method technical field more particularly to a kind of screen detection methods and detection system.
Background technique
In the production process of LCD screen, the detection of screen display defect is one of important link, is examined by screen
Process is surveyed to detect screen with the presence or absence of defect, is come into the market to avoid defective.
Mainly screen is detected by way of artificial detection or semi-automatic lighting detection at present.The inspection of artificial detection
Survey efficiency is lower, and the time for detecting one piece of screen is about 45S, and easily ignores the DSD dark spot defect in screen, and false detection rate is higher.
And the mode manually aligned is mainly taken in semi-automatic detection, cause detection efficiency lower, and detection accuracy is compared to artificial inspection
There is no too big improvement, the high problems of false detection rate cannot get effective solution for survey mode.
Summary of the invention
The purpose of the present invention is to provide a kind of screen detection method and detection systems, to solve the above problems.
For this purpose, the present invention uses following technical scheme：
A kind of screen detection method, including point, line defect detection method, the point, line defect detection method include as follows
Step：
Normal screen image is acquired, control image is obtained by image procossing, obtains the control pixel grey scale of control image
Phase on weekly duty；
Screen picture to be detected is acquired, sample image is obtained by image procossing, obtains the sample of screen picture to be detected
Grey scale pixel value；
By the sampled pixel gray value and making the difference one by one in the grey scale pixel value period according to grey scale pixel value, work as sample
When the corresponding difference of this grey scale pixel value is greater than preset value, then it is determined as screen defect.
Optionally, when by the sampled pixel gray value with compareing the grey scale pixel value period and making the difference one by one, if difference is big
In preset value sample in dotted, then the determining defects are point defect.
Optionally, when by the sampled pixel gray value with compareing the grey scale pixel value period and making the difference one by one, if difference is big
Linear in the sample of preset value, then the determining defects are line defect.
Optionally, described image processing includes filtering processing.
It optionally, further include Mura defects detection method, the Mura defects detection method includes：
Screen picture is acquired, and carries out Mura defects detection；
When there are Mura defects, which is labeled as defective screen；When Mura defects are not present, by the screen
Labeled as zero defect screen；
Sample image database is established, is repeated the above steps, until collecting the sufficient amount of sample for meeting detection accuracy
This image, and sample image is stored in the sample image database.
The present invention also provides a kind of screen detection system, including detection zone, the detection zone includes：
Acquisition device, for acquiring image；
Storage device acquires gained sample image database, the storage device by the acquisition device for storing
It is electrically connected the acquisition device；
Judgment means, for judging image with the presence or absence of defect, the judgment means are electrically connected the acquisition device；
Visual-alignment device, visual-alignment device electrical connection is described to bit platform and to be directed at the workbench, is used for
Realize the adjustment in screen orientation.
Optionally, mounting rack is equipped in the detection zone, the acquisition device is installed on the mounting rack；
It is additionally provided on the mounting rack to bit platform, described to be equipped with workbench to bit platform, the workbench is located at institute
It states below acquisition device；The second grasping mechanism is additionally provided on the mounting rack, second grasping mechanism is used for screen to be detected
Curtain is fixed on the worktable；
Backlight is equipped with below the workbench, the backlight is electrically connected with light source controller.
Optionally, the screen detection system further includes positioned at the material waiting section of the detection zone side；The material waiting section institute
Material waiting section is stated equipped with code reader, the code reader is used to read the ID of screen to be detected；
Wherein, the first grasping mechanism, the material waiting section and the detection are equipped between the material waiting section and the detection zone
It encloses on the outside of first grasping mechanism in area；First grasping mechanism is for putting the screen scraping to be detected on material waiting section
It is detected into detection zone.
Optionally, the mounting rack is equipped with adjustment single shaft, and the acquisition device is installed in peace by the adjustment single shaft
It shelves, the adjustment is uniaxial for adjusting the distance between acquisition device and screen to be detected.
Optionally, the screen detection system further includes work station, and the work station and Mes system establish connection, and with
Acquisition device, storage device, judgment means and code reader electrical connection.
Compared with prior art, the embodiment of the present invention has the advantages that：
The present invention provides a kind of screen detection method, and the point of screen is detected by periodical algorithms, artificial intelligence detection method
Defect, line defect and Mura defects, meanwhile, the present invention also provides a kind of screen detection systems, improve screen detection
Efficiency and precision.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention without any creative labor, may be used also for those of ordinary skill in the art
To obtain other attached drawings according to these attached drawings.
Fig. 1 is the flow chart of a kind of point provided in an embodiment of the present invention, line defect detection method；
Fig. 2 is a kind of flow chart of Mura defects detection method provided in an embodiment of the present invention；
Fig. 3 Fig. 3 is a kind of structural schematic diagram of screen detection system provided in an embodiment of the present invention.
In above-mentioned figure：10, material waiting section；20, the first grasping mechanism；30, detection zone；31, work station；32, light source controller；
33, to bit platform；34, acquisition device；35, the second grasping mechanism.
Specific embodiment
The core idea of the invention is as follows：The point defect of screen is detected by periodical algorithms, artificial intelligence detection method, line lacks
It falls into and Mura defects, meanwhile, a kind of screen detection system is provided to improve the efficiency and precision of screen detection.
In order to make the invention's purpose, features and advantages of the invention more obvious and easy to understand, below in conjunction with the present invention
Attached drawing in embodiment, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that disclosed below
Embodiment be only a part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, this field
Those of ordinary skill's all other embodiment obtained without making creative work, belongs to protection of the present invention
Range.
To further illustrate the technical scheme of the present invention below with reference to the accompanying drawings and specific embodiments.
Embodiment one
In recent years, as TFT-LCD industry development is rapid, it is relevant manufacture and detection device showed light, gas,
Electricity, magnetic in one trend, become increasingly automation, it is integrated, information-based and intelligent.In order to guarantee that liquid crystal display is efficiently given birth to
It produces, the present embodiment embodiment provides a kind of screen detection method, which is embedded in production line, realizes high
The defects detection of efficiency.
As shown in FIG. 1, FIG. 1 is a kind of point provided in an embodiment of the present invention, the flow chart of line defect detection method, the point,
Line defect detection method includes the following steps：
S101, acquisition normal screen image obtain control image by image procossing, obtain the control pixel of control image
The gray value period.
In this step, normal screen is first switched to pure color picture, image is then acquired by high pixel industrial camera, is obtained
To normal screen image；Image procossing is carried out to the normal screen image and obtains control image, and obtains the ash in control image
Angle value PitchX (the gray value period in X-direction) and PitchY (the gray value period in Y direction).
Since the grey scale pixel value of normal screen is in periodic distribution, thus finally obtain in this step to photograph
The plain gray value period.The control grey scale pixel value is used to play check sample in the detection of subsequent screen.
Wherein, image procossing includes filtering processing, i.e., progress noise filtering, extract point pixel, be this field
Conventional technical means is no longer described in detail herein.
S102, acquisition screen picture to be detected, obtain sample image by image procossing, obtain screen picture to be detected
Sampled pixel gray value.
In this step, by screens switch to be detected to pure color picture, screen to be detected is acquired by high pixel industrial camera
Image, by known image grayscale period PitchX, PitchY, carries out processing acquisition to image to the screen picture to be detected
Compare image.Sampled pixel gray value acquired in the step is used for the basis as detection, to judge screen with the presence or absence of point
Defect or line defect.
S103, the sampled pixel gray value and the grey scale pixel value that shines in the grey scale pixel value period being done one by one
Difference is then determined as screen defect when the corresponding difference of sampled pixel gray value is greater than preset value.
When screen to be detected is normal screen, grey scale pixel value in screen picture should be under any period multiple
Sampled pixel gray value is identical or the difference of the grey scale pixel value in screen picture and sampled pixel gray value should be in preset value
In the range of.
When the corresponding difference of sampled pixel gray value is greater than preset value, then the sample is then determined as screen defect.
When by the sampled pixel gray value with compareing the grey scale pixel value period and making the difference one by one, if difference is greater than preset value
Sample in dotted, then the determining defects are point defect.By the sampled pixel gray value with compare the grey scale pixel value period
When making the difference one by one, if the sample that difference is greater than preset value is linear, which is line defect.
In the point of above-mentioned offer, line defect detection method, the screen picture to be detected that is acquired under actual condition and normal
The acquisition condition of screen picture is all the same, i.e., scene is identical, viewpoint is identical, to ensure the accuracy detected.Pass through drawbacks described above
Detection method can accurately detect out the defect of screen, and can quickly determine type, the position of defect, solve existing skill
The problem that detection accuracy is not high in art, detection efficiency is low.
The present embodiment also provides a kind of Mura defects detection method, for improve Mura defects detection detection efficiency and
Precision, and complement each other with point, line defect detection method, to improve the defects detection process of screen.
Referring to Fig. 2, Fig. 2 is a kind of flow chart of Mura defects detection method provided in an embodiment of the present invention.
The Mura defects detection method includes the following steps：
S201, acquisition screen picture, and carry out Mura defects detection.
In this step, acquisition screen picture carries out Mura detection as sample, and to these screen pictures.
S202, when there are Mura defects, by the screen be labeled as defective screen；It, will when Mura defects are not present
The screen is labeled as zero defect screen.
The step to sample image for classifying, to lay the foundation when screen subsequent Mura detection.
S203, sample image database is established, repeated the above steps, until collecting the sufficient amount for meeting detection accuracy
Sample image, and sample image is stored in the sample image database.
It will be stored in sample image database in step S202 by sorting out the sample image of label, it is subsequent in Mura
It detects in process, screen picture to be detected is compared with these sample images.It marks and stores by sample classification, can forge
The neural network for refining detection, with the rising of amount detection, Mura detection is more and more intelligent, then the precision of Mura detection also can be with
Growth.
Embodiment two
Based on screen detection method provided by embodiment one, the present embodiment two correspondingly provides a kind of screen detection system
System.
Referring to Fig. 3, Fig. 3 is a kind of structural schematic diagram of screen detection system provided in an embodiment of the present invention.
The screen detection system includes：
Material waiting section 10, for receiving screen send from assembly line, to be detected.Wherein, material waiting section 10 is equipped with
Code reader realizes the reading of screen ID to be detected by the code reader, ID and screen to be detected binding is got up, in order to subsequent
The retrospect of each screen message.
First grasping mechanism 20, for screen to be detected to be put from the crawl of material waiting section 10 to detection zone 30 before detection,
The screen scraping that will test completion after the completion of detection is put to next station.In the present embodiment, the first grasping mechanism 20 is six axis
Robot, and there are two first grasping mechanism 20 sets, to improve working efficiency.
Detection zone 30 is located at 10 side of material waiting section, and is enclosed outside the first grasping mechanism 20 together with material waiting section 10, in this way
Position setting keep the screen detection system compact-sized, also improve detection efficiency to a certain extent.
Work station 31, the work station 31 and Mes system establish connection, and are electrically connected with code reader and each device of detection zone 30
It connects, for screen detection image information to be sent to Mes system, in order to inquire and trace.
Wherein, detection zone 30 includes：
Mounting rack, for being provided a supporting role for each mechanism.The mounting rack is equipped with to bit platform 33, and the contraposition is flat
Platform 33 is equipped with workbench, and the workbench is for placing screen to be detected.The second grasping mechanism 35 is additionally provided on the mounting rack,
Second grasping mechanism 35 is for screen to be detected to be fixed on the worktable.Wherein, which is single shaft
Manipulator.In addition, being equipped with backlight below workbench, which is electrically connected with light source controller 32.
Acquisition device 34, is installed on mounting rack, and is located at the top of workbench, for acquiring the image on screen.?
In the present embodiment, which is high pixel industrial camera, for acquiring the image of screen to be detected, to realize screen
Detection function.Wherein, the mounting rack is equipped with adjustment single shaft, and the acquisition device 34 is installed in peace by the adjustment single shaft
It shelves, the adjustment is uniaxial for adjusting the distance between acquisition device 34 and screen to be detected, before detection can be for not
Screen with size is by adjusting the uniaxial object distance for adjusting acquisition device 34, to adapt to various sizes of screen.
Storage device is electrically connected the acquisition device 34 and work station 31, passes through the acquisition device 34 for storing
Acquisition gained sample image database.
Judgment means are electrically connected the acquisition device 34 and work station 31, for judging image with the presence or absence of defect.
Visual-alignment device, the visual-alignment device electrical connection is described to bit platform 33, and is directed at the workbench, uses
In the adjustment for realizing screen orientation.It matches, makes on screen to be detected by visual-alignment device and to bit platform 33
Mark point matches with probe location；Behind the orientation for adjusting screen to be detected, the conducting for realizing screen is pushed by probe.
In the present embodiment, which further includes：
Automatic loading/unloading module specially includes loading and unloading servo mechanism, the automatic aligning module based on machine vision, machine
Device people pickup model, lighting probe cylinder control module, reading screen ID module, control module, safety protection module etc..Mainly
Use the technologies such as movement control technology and robot automatic aligning.
Defects detection module：Including image capture module, source illumination module, image processing hardware module and image procossing
Algoritic module etc..Mainly use light modeling technique, detection identification technology and big data real-time processing technique.
Information-based module：Including product quality information database, Condition Detection module.Mainly use network data base
Technology, big data analysis technology.For example, current sensor by acquiring equipment electricity consumption situation, by monitoring based on supplied materials number
Number sensors, and for the operation controller of 35 operation conditions of real-time monitoring the first grasping mechanism 20 and the second grasping mechanism,
In order to which staff understands the working condition of equipment in real time.The current sensor, sensor for countering and operation controller are equal
It is electrically connected with work station 31.
In the present embodiment, screen to be detected is sent to material waiting section 10 by conveyer belt from upper station wiper mechanism, and
ID and liquid crystal film binding are got up in the reading for realizing ID by code reader in this process.First grasping mechanism 20 receives can
After feeding signal, by screen scraping to be detected to the workbench in detection zone 30, by visual-alignment device and to bit platform
33 realize probe contraposition, push and connect circuit, then are lighted by point lamp plate, switch the different pictures of screen, in switching screen
Being acquired device 34 carries out processing of taking pictures simultaneously, analyzes in judgment means the data of detection, result is sent to work
It stands after 31, is uploaded to Mes system, and store into storage device.After having detected, according to testing result by a blanking mechanical hand
Screen correspondence after the completion of will test is transported to corresponding region.
Staff can by the electricity consumption situation of current sensor real-time watch device, pass through monitoring control devices manipulator
Operation conditions, read by code reader the two-dimensional barcode information of screen to be detected and supplied materials obtained by sensor for countering
Speed, in addition, getting the ratio feelings of current supplied materials sum and normal screen and defect screen by work station 31
Condition allows finally by result real-time transmission Mes system and inquires and understand newest production in real time far away from the administrative staff of office
State, so that the intelligence manufacture for factory provides data basis and Information base.
Screen detection method and screen detection system provided by the present invention, combine and utilize grey scale pixel value cycle detection
The technology of screen defect, correlation (soft and hardware) technology based on deep learning, technology of Internet of things, robot are automatically upper and lower
Modern automation industry cutting edge technology based on material technology etc., realize liquid crystal display uploaded from feeding, automatic detection, data, under
The fully automatic integral detection system of material.Depth learning technology is detected by Computer Automatic Recognition liquid crystal display defect characteristic
Defect eliminates the parameter testing step of prior-generation detection system complexity；Technology of Internet of things can in real time carry out testing product
Data summarization simultaneously uploads, and staff can trace the detection data of each product at the end PC, to analyze and to handle in time；With
Robot charge technology based on robot technique of counterpoint solves material from feeding, contraposition, detection, blanking of classifying automatically
Equal sequence of operations.By above-mentioned technological means the effect detection time of a screen-picture controlled within 1.2S has been reached
Fruit substantially increases detection efficiency while ensuring detection accuracy.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although referring to before
Stating embodiment, invention is explained in detail, those skilled in the art should understand that：It still can be to preceding
Technical solution documented by each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
It modifies or replaces, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of screen detection method, which is characterized in that including point, line defect detection method, the point, line defect detection method
Include the following steps：
Normal screen image is acquired, control image is obtained by image procossing, obtains control image in X-direction and Y-axis side
The upward control grey scale pixel value period；
Acquire screen picture to be detected, sample image obtained by image procossing, obtain screen picture to be detected X-direction with
And the sampled pixel gray value in Y direction；
The sampled pixel gray value is made the difference one by one with the grey scale pixel value that compares in the grey scale pixel value period, works as sample
When the corresponding difference of grey scale pixel value is greater than preset value, then it is determined as point, line defect.
2. screen detection method according to claim 1, which is characterized in that by the sampled pixel gray value with compare
When the grey scale pixel value period makes the difference one by one, if difference is greater than the sample of preset value in dotted, which is point defect.
3. screen detection method according to claim 1, which is characterized in that by the sampled pixel gray value with compare
When the grey scale pixel value period makes the difference one by one, if the sample that difference is greater than preset value is linear, which is line defect.
4. screen detection method according to claim 1, which is characterized in that described image processing includes filtering processing.
5. screen detection method according to claim 1, which is characterized in that further include the Mura defects based on deep learning
Detection method, to judge liquid crystal display with the presence or absence of Mura defects, the Mura defects detection method includes：
Screen picture is acquired, and carries out Mura defects detection；
When there are Mura defects, which is labeled as defective screen；When Mura defects are not present, which is marked
For zero defect screen；
Sample image database is established, is repeated the above steps, until collecting the sufficient amount of sample graph for meeting detection accuracy
Picture, and sample image is stored in the sample image database；
The image being stored in the sample database is placed in learning training in deep neural network, is lacked so that Mura is gradually increased
Fall into the precision of detection.
6. a kind of screen detection system, which is characterized in that including detection zone, the detection zone includes：
Acquisition device, for acquiring image；
Storage device acquires gained sample image database by the acquisition device for storing, and the storage device is electrically connected
Connect the acquisition device；
Judgment means, for judging image with the presence or absence of defect, the judgment means are electrically connected the acquisition device；
Visual-alignment device, visual-alignment device electrical connection is described to bit platform and to be directed at the workbench, for realizing
The adjustment in screen orientation.
7. screen detection system according to claim 6, which is characterized in that mounting rack is equipped in the detection zone, it is described
Acquisition device is installed on the mounting rack；
It is additionally provided on the mounting rack to bit platform, described to be equipped with workbench to bit platform, the workbench is located at described adopt
Below acquisition means；The second grasping mechanism is additionally provided on the mounting rack, second grasping mechanism is for consolidating screen to be detected
Due on workbench；
Backlight is equipped with below the workbench, the backlight is electrically connected with light source controller.
8. screen detection system according to claim 6, which is characterized in that the screen detection system further includes being located at institute
State the material waiting section of detection zone side；Material waiting section described in the material waiting section is equipped with code reader, and the code reader is to be checked for reading
Survey the ID of screen；
Wherein, the first grasping mechanism is equipped between the material waiting section and the detection zone, the material waiting section and the detection zone enclose
On the outside of first grasping mechanism；First grasping mechanism is for putting the screen scraping to be detected on material waiting section to inspection
It surveys in area and is detected.
9. screen detection system according to claim 7, which is characterized in that the mounting rack is equipped with adjustment single shaft, institute
Acquisition device is stated to be installed on mounting rack by the adjustment single shaft, the adjustment it is uniaxial for adjust acquisition device with it is to be detected
The distance between screen.
10. screen detection system according to claim 9, which is characterized in that the screen detection system further includes work
It stands, the work station and Mes system establish connection, and are electrically connected with acquisition device, storage device, judgment means and code reader
It connects.
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| CN109856824A (en) * | 2018-12-21 | 2019-06-07 | 惠科股份有限公司 | Display picture detection method and detection system thereof |
| CN110781888A (en) * | 2019-10-25 | 2020-02-11 | 北京字节跳动网络技术有限公司 | Method and device for regressing screen in video picture, readable medium and electronic equipment |
| CN111260612A (en) * | 2020-01-09 | 2020-06-09 | 北京良业环境技术股份有限公司 | LED screen fault diagnosis method on street lamp |
| CN111340795A (en) * | 2020-03-09 | 2020-06-26 | 珠海格力智能装备有限公司 | Method and device for determining quality of article |
| CN111598869A (en) * | 2020-04-03 | 2020-08-28 | 惠州高视科技有限公司 | Method, equipment and storage medium for detecting Mura of display screen |
| CN114136981A (en) * | 2021-11-26 | 2022-03-04 | 广东速美达自动化股份有限公司 | Detection method and detection system for Mylar film of lithium battery pack |
| CN114879388A (en) * | 2021-02-05 | 2022-08-09 | 合肥统旭智慧科技有限公司 | Intelligent detection method for monitoring display picture of liquid crystal display |
| CN117152103A (en) * | 2023-09-08 | 2023-12-01 | 深圳市明昌光电科技有限公司 | Display screen point defect, line defect and Mura defect judging method, system and device |
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