CN110361165A - A kind of equipment for the manufacturing method and its manufacture testing and analyzing equipment for liquid crystal display blue light components - Google Patents
A kind of equipment for the manufacturing method and its manufacture testing and analyzing equipment for liquid crystal display blue light components Download PDFInfo
- Publication number
- CN110361165A CN110361165A CN201910545670.4A CN201910545670A CN110361165A CN 110361165 A CN110361165 A CN 110361165A CN 201910545670 A CN201910545670 A CN 201910545670A CN 110361165 A CN110361165 A CN 110361165A
- Authority
- CN
- China
- Prior art keywords
- blue light
- camera
- value
- liquid crystal
- crystal display
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M11/00—Testing of optical apparatus; Testing structures by optical methods not otherwise provided for
- G01M11/02—Testing optical properties
- G01M11/0285—Testing optical properties by measuring material or chromatic transmission properties
-
- 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
Abstract
The equipment that the present invention proposes a kind of manufacturing method and its manufacture that equipment is tested and analyzed for liquid crystal display blue light components, calculating is corrected to the camera acquisition parameter in equipment using spectral radiance luminance meter in the fabrication process, that is, camera can be used, expensive spectral radiance luminance meter is replaced to carry out blue light components detection to liquid crystal display.Field of detection of the present invention is big, and real-time is high, and intellectual analysis effect is cheap, can be with the quality of production of General Promotion product.
Description
Technical field
The invention belongs to detecting instrument technical fields, are related to blue light detection, are a kind of inspection for liquid crystal display blue light components
Survey analytical equipment and its analysis method.
Background technique
In daily life, shortwave blue light is that wavelength is between 400nm-480nm the light with relatively high energy.
Blue light in the wavelength can be such that the macular area toxin amount in eyes increases, and seriously threaten our eyeground health.Blue light, which induces, to be caused
Blindness causing disease, effective solution scheme is to carry out pad pasting processing to liquid crystal display at present.Liquid crystal display can show various information to the mankind,
It is the important foundation unit of modern electronic technology, artificial intelligence, is the important channel of human-computer interaction, there is highly important valence
Value.Newest in liquid crystal display is source matrix organic light emission second level Display panel screen (AMOLED), and polaroid is its important composition,
Polaroid can control the light transmittance of the light of various wavelength, to achieve the effect that inhibit blue light components.
Polaroid needs are made of at least five structure sheaf, are from bottom to top followed successively by 1) protective film, 2) Triafol T
Film (TAC) or polymethyl methacrylate film (PMMA), 3) polyvinyl alcohol (PVA), 4) three cellulose acetate membrane (TAC) or
Person's polymethyl methacrylate film (PMMA), 5) protective film.In process of production, the indigo plant that their thickness issues AMOLED
The transmission effects of light component have direct influence.Want research structure thickness degree to the relationship of the transmission effects of blue light components, it is first
It is first required to detect the instrument of blue light components.
Currently, this instrument mainly leans on spectrum radiance meter, it can measure spoke brightness, brightness, relative spectral function
Rate distribution, chromaticity coordinate, correlated colour temperature, the parameter of colour rendering index, very efficiently.But its disadvantage is also fairly obvious, first is that seeing
It is small to examine visual field, generally at 8 degree hereinafter, substantially point detection, does not accomplish the real-time detection of large area;Second is that due to function
Excessively, so the price is very expensive, hundreds of thousands of members easily;Join such as video average value, time stability third is that can not provide
Number, so unsuitable area is big, the high liquid crystal display detection of real-time.
If could be first is that field of detection were big, second is that real-time is high, third is that intellectual analysis effect, such as to obtain space equal
The parameters such as evenness, time stability, maximum, can be with then be conducive to the blue light detection of liquid crystal display fourth is that if cheap
The quality of production of General Promotion product.
Summary of the invention
The problem to be solved in the present invention is: the instrument cost that the prior art detects liquid crystal display blue light components is high, detection range
Small, detection parameters are few, need that field of detection is big, real-time is high, detection parameters are more, the detection device of advantage of lower cost.
The technical solution of the present invention is as follows: a kind of manufacturing method for testing and analyzing equipment for liquid crystal display blue light components, described
Testing and analyzing equipment includes controller, Prototyping Platform, shooting platform robot and the camera with blue light filter, the phase with blue light filter
Machine is arranged above Prototyping Platform by shooting platform robot, controller connection shooting platform robot and camera, control shooting platform
The movement of robot and the shooting of camera obtain blue light detection parameters by learning process, are configured in controller, are matched
Set the detection and analysis equipment of completion, process under are as follows:
1) Image Acquisition, Prototyping Platform are set in darkroom, and liquid crystal display sample is arranged on Prototyping Platform, are exported pure white
Color, after t1 seconds, with, in the stable state video of dark indoor shot liquid crystal display, acquisition quantity is Frame_ with blue light filter camera
The picture I of total framen,n∈(1,…,Frame_total);
2) it pre-processes, extracts all picture InIn gray value be greater than Th1 part, as area to be tested Idn, it is less than
Part equal to Th1 is considered as background area;
3) with a spectrum radiance meter, the blue light components in the same region of liquid crystal display sample gain of parameter: are acquired most
Big brightness value Jmax1, while acquiring blue light filter camera imaging IdnMaximum gradation value Cmax1, be used as band blue light filter camera
With the correction of spectrum radiance meter range;
4) change the brightness of liquid crystal display sample, repeat step 1) -3), obtain the 2nd group of maximum brightness value Jmax2, maximum gray scale
Value Cmax2 and the 3rd group of maximum brightness value Jmax3, maximum gradation value Cmax3;
5) according to formula
The value of three parameters a, b, c of quadratic fit relationship are calculated, formula J then can be usedr=a*Cr 2+b*Cr
+ c calculates the brightness value C obtained with blue light filter camerarIt is converted to practical blue light components value JrProcess, the formula that will be obtained
It is configured at the controller for testing and analyzing equipment, the inspection of blue light components can be directly completed by the shooting of the camera with blue light filter
It surveys.
The present invention also proposes a kind of detection and analysis equipment for liquid crystal display blue light components, including controller, Prototyping Platform,
Platform robot and the camera with blue light filter are shot, the camera with blue light filter is arranged by shooting platform robot in Prototyping Platform
Top, controller connection shooting platform robot and camera, the movement of control shooting platform robot and the shooting of camera, controller
In the formula J that obtains configured with above-mentioned manufacturing methodr=a*Cr 2+b*Cr+c。
Further, image analysis program is also configured in controller, described program completes following steps:
1) Id is calculatednIn each frame picture gray value maximum value Idmaxn, n ∈ (1 ..., Frame_total),
IdmaxnIn this Frame_total value, their maximum value Id2max is taken;Then, formula J is utilizedr=a*Cr 2+b*Cr+ c, meter
The corresponding Jd2max of Id2max is calculated, is exported as maximum value;
2) Id is calculatednIn each frame picture gray value average value Idavgn, n ∈ (1 ..., Frame_total), then
Again the gray value average value Idavg of all picturesnIt is added, divided by Frame_total to get average to the gray scale of entire video
Value Id2avg utilizes formula Jr=a*Cr 2+b*Cr+ c calculates the corresponding Jd2avg of Id2avg, exports as video average value;
3) Id is calculatednIn each frame picture gray value variance yields Idvarn, n ∈ (1 ..., Frame_total),
All IdvarnIt is added, obtains the stability data Id2var of entire video, directly exported using Id2var as video stabilisation.
Further, Prototyping Platform and the camera with blue light filter are equipped with balance ruler.
Further, controller is connected with acousto-optic hint unit.
Since this programme is using general industry camera, visual field can achieve 90 degree or so, than existing spectrum width
8 degree for penetrating luminance meter want greatly more, so having achieved the effect that field of detection is big, are suitble to large screen detection, and on a large scale fastly
Speed detection;Due to carrying out the calculating and processing of brightness data using computer, the calculation amount of active computer can reach Millisecond,
So detection real-time is high;Since apparatus of the present invention are capable of providing the effect of the parameters such as spatial uniformity, time stability, maximum
Fruit, so there is the effect of intellectual analysis.In addition, the entire scheme cost of the present invention is very low, the cost of gained equipment is about 50,000 left in total
The right side, it is practical in industrial detection although accurate rate may slightly be inferior to separate unit spectral radiance luminance meter, it does not need
The so high precision of spectral radiance luminance meter, and since the present invention uses fitting in detection data configuration, precision is
The detection demand of enough liquid crystal display production, it is possible to reach in assembly line detection, the effect of extensive intelligent quickly real-time detection
Fruit.
A kind of the advantages of testing and analyzing equipment and its algorithm for liquid crystal display blue light components of the invention, is: first is that detection view
Field is big, second is that real-time is high, third is that intellectual analysis effect, fourth is that it is cheap, it can be with the quality of production of General Promotion product.
Detailed description of the invention
Fig. 1 is the mechanical structure schematic diagram of the embodiment of the present invention.
Fig. 2 is the electrical block diagram of the embodiment of the present invention.
Fig. 3 is the algorithm learning process flow chart of the embodiment of the present invention.
Fig. 4 is the algorithm use process flow chart of the embodiment of the present invention.
Fig. 5 is the algorithm use process image of the embodiment of the present invention and the schematic diagram of data relationship.
Specific embodiment
Below with reference to attached drawing Fig. 1, Fig. 2, Fig. 3, Fig. 4, Fig. 5, technical solution of the present invention is described in detail.
The present invention is based on existing machine vision, electronic technology, propose a kind of for the detection point of liquid crystal display blue light components
Desorption device and its manufacturing method, for detecting liquid crystal display under the influence of light transmitting sheet, the spatial uniformity of blue light components, time are steady
The parameters such as qualitative, maximum.
For the expensive problem of existing spectral radiance luminance meter, the invention proposes one kind to be used for liquid crystal display blue light
The manufacturing method of component detection analytical equipment, it is only necessary to a spectral radiance luminance meter carries out calibration correction in the fabrication process,
It is simple to can be obtained by more structures, it is easy to use.Blue light at low cost tests and analyzes equipment.The detection and analysis equipment includes
Controller, Prototyping Platform, shooting platform robot and the camera with blue light filter, the camera with blue light filter pass through shooting platform machine
People is arranged above Prototyping Platform, controller connection shooting platform robot and camera, the movement of control shooting platform robot and
The shooting of camera obtains blue light detection parameters by learning process, is configured in controller, obtains the detection and analysis that configuration is completed
Equipment, the learning process include: three Image Acquisition, pretreatment, gain of parameter steps.
1) Image Acquisition: liquid crystal display sample output be pure white state after, after t1 second, it is therefore an objective to wait liquid crystal displays shine export
Stablize, shoots its stable state video with band blue light filter camera, obtain the picture I that quantity is Frame_total framen,n∈
(1,…,Frame_total).In the present embodiment, t1 is to wait 2 seconds, and the shooting speed of camera control is 20 frame per second, Frame_
Total takes 20.
2) it pre-processes: extracting the picture I of all acquisitionsnIn gray value be greater than Th1 part, as area to be tested
Idn, part less than or equal to Th1 is considered as background area;In the present embodiment, Th1 is arranged to 10.
3) gain of parameter: a spectrum radiance meter is utilized, the maximum brightness value of the blue light components in same region is acquired
Jmax1, while acquiring blue light filter camera imaging IdnMaximum gradation value Cmax1, be used as band blue light filter camera and spectrum width
The correction of luminance meter range is penetrated, it is only practical in learning process, primary parameter correction is done, is not used later, thus blue with band
Light filter camera substitutes spectrum radiance meter, reduces cost.
Then change the brightness of liquid crystal display, Image Acquisition, pretreatment, then learning process again obtain the 2nd group of spectrum
Radiance meter, acquires the maximum brightness value Jmax2 of the blue light components in same region, while acquiring blue light filter camera imaging
IdnMaximum gradation value Cmax2, as the correction with blue light filter camera Yu spectrum radiance meter range.
Then change the brightness of liquid crystal display again, Image Acquisition, pretreatment, then learning process again obtain the 3rd group of light
Spectrum amplitude penetrates luminance meter, acquires the maximum brightness value Jmax3 of the blue light components in same region, while acquiring blue light filter camera imaging
IdnMaximum gradation value Cmax3, as the correction with blue light filter camera Yu spectrum radiance meter range.
In this way according to the formula of sum of the grayscale values brightness value
The value of three parameters a, b, c of their quadratic fit relationship can be calculated.
Then formula J can be usedr=a*Cr 2+b*Cr+ c calculates the brightness value C obtained with blue light filter camerarTurn
It is melted into practical blue light components value JrProcess.
Spectrum radiance meter only does correction first use when this equipment begins to use, in all remaining work,
It will not reuse, so manufacturer can produce N playscript with stage directions equipment, but 1 spectrum radiance meter only be needed to do in total
Factory correction.Detection device of the invention is not multiple due to only needing the picture luminance by shooting directly to carry out simple computation
The rapidity of miscellaneous spectrum analysis, detection just improves, while also saving spectrum radiance meter hundreds of thousands of cost easily.
The formula J that above-mentioned manufacturing method obtains is configured with by the detection and analysis equipment of above method preparation, in controllerr=
a*Cr 2+b*Cr+c.It the use of step also include three Image Acquisition, pretreatment, image analysis steps, Image Acquisition and pretreatment are such as
Aforementioned learning process, image analysis is in addition to according to formula Jr=a*Cr 2+b*Cr+ c calculates blue light components value, further includes calculating maximum
Value calculates video average value, calculates time stability, as shown in Figure 5;
1) Id is calculatednIn each frame picture gray value maximum value Idmaxn,n∈(1,…,Frame_total);Then
In IdmaxnIn this Frame_total value, their maximum value Id2max is taken;
Then, J is utilizedr=a*Cr 2+b*CrParameter a, b, c of+c is calculated according to the formula of sum of the grayscale values brightness value
The corresponding Jd2max of Id2max is exported as maximum value.
2) Id is calculatednIn each frame picture gray value average value Idavgn, n ∈ (1 ..., Frame_total), original
Reason is interior then divided by the total number of pixel in image to obtain gray value summation the gray value addition of pixel in an image
Hold simply, details are not described herein.
Then again the gray value average value Idavg of all each frame pictures of every average valuenIt is added, divided by Frame_
Total is to get the average gray Id2avg for arriving entire video.
Then, J is utilizedr=a*Cr 2+b*CrParameter a, b, c of+c is calculated according to the formula of sum of the grayscale values brightness value
The corresponding Jd2avg of Id2avg is exported as video average value.
3) Id is calculatednIn each frame picture gray value variance yields Idvarn,n∈(1,…,Frame_total).Its
Principle is the gray value and its arithmetic average Idavg of each pixel in imagenSum of squares of deviations average.
Then, all IdvarnIt is added, the stability data Id2var of entire video is obtained, since stability is line
Sexual intercourse, so directly being exported using Id2var as video stabilisation.
The 3 above data have used enough in the test production of general liquid crystal display blue light components, and the present invention is this 3
Data and blue light components are as final output, i.e. the analysis result of liquid crystal display blue light detection.
The embodiment for naming a present device shows the hardware configuration of present device.
Present device hardware components include computer 1, Prototyping Platform 4, shooting platform robot 5, the phase with blue light filter
Machine 6, balance ruler 7 and acousto-optic prompt unit 8, are equipped with the modules such as darkroom 2, transfer robot 3 and spectrum radiance meter 9.
1.1 computers 1 are controller, the movement of the loading and unloading for controlling transfer robot, control shooting platform robot fortune
It moves to designated position;For controlling the shooting of the camera with blue light filter;For receiving the picture with the shooting of blue light filter camera;
For controlling the work of acousto-optic hint unit;For providing computing resource for image synthesis;For storing relevant information in case not
To call.In the present embodiment, computer is using the industrial computer that brand is that TP-IPC, model are IPC-T1520P.
1.2 darkrooms 2 are the space of all module work in addition to computer, acousto-optic hint unit, it has obstructed all external
The dark working effect of black is presented in visible light source;In the present embodiment, using the aluminium profiles of 3000mm*3000mm*4000mm size
Material, thickness 2mm.
1.3 transfer robots 3 are placed into Prototyping Platform designated position 10 for automatically grabbing specimen material from Material Staging Area 11;
For being placed into specified discharging area after the completion of analysis task, then the sample detected;In the embodiment of the present invention, using
The RB120 type industrial robot of ABB, actuator are the pneumatic clamp hand of 1KG, and pneumatic clamps are placed with sponge on hand, press from both sides for avoiding
It is contacted firmly when taking sample.
1.4 Prototyping Platforms place liquid crystal display to be measured for static;In the present embodiment, using self-control 2000mm*
The aluminum profile of 2000mm*1000mm size, thickness 2mm.
1.5 shooting platform robots are used to place camera in its terminal, inclined for different sizes by under computer control
Mating plate moves to respective designated position, and the band blue light filter camera that its terminal is placed shoots ideal effect;This
In inventive embodiments, held using the slide unit for flying ten thousand company KR60 from pedestal mark is past using three Cartesian robots
Three straight line mould group ranges of row device are successively are as follows: 500mm*100mm, motor are followed successively by 57,57,42 direct current generators, and driver is
The robot controller of the remote science and technology of group.
1.6 are used to shoot the intensity of blue light components in liquid crystal display imaging with blue light filter camera;In the present embodiment, use
It is that 10,000,000 pixel cameras of Balser brand and 400nm~500nm of Shenzhen Geng Xu company customization pass through optical filter.
1.7 balance rulers are used to correct the balance of Prototyping Platform, final for the balance of correcting captured robot base
Effect is used to ensure the paralleling effect with blue light filter camera and Prototyping Platform of shooting institute, platform robot band;
1.8 acousto-optic hint units for completing prompt when task in the detection process.In the embodiment of the present invention, use
It is 246 portable level instruments of Israel brand KAPRO Kai Pulu, as long as bubble therein is maintained at intermediate when observing
Ensure plateau levels position.Level correction twice can ensure the band blue light filter camera of shooting institute, platform robot band and automatic
The paralleling effect of make-up machine.
The correction of 1.9 spectrum radiance meters range based on blue light filter camera and spectrum radiance, is only making
Primary parameter correction is done in use when making the learning process of present device, actually carry out blue light detection when without using, thus
Spectrum radiance meter is substituted with band blue light filter camera, reduces cost.In the present embodiment, using by Suzhou Fu Shidake
Learn the SR-UL1R model spectral radiance luminance meter of Instrument Ltd.'s production.
Learning process process such as Fig. 3 in manufacturing method of the present invention:
Step 1. operator is controlled by computer, places each test sample, inputs threshold parameter, setting shooting platform machine
The camera site of people;
Step 2. computer control shooting platform robot reaches designated position, artificial to use balance ruler for ensureing shooting platform machine
The camera with blue light filter of device people institute band and the paralleling effect of Prototyping Platform;
Prototyping Platform is expected on step 3. computer control transfer robot;
The 3 change brightness of step 4. liquid crystal display, while blue light filter camera shoots video, spectrum radiance meter counts,
Obtain corresponding 3 groups of data (Cmax1, Jmax1), (Cmax2, Jmax2), (Cmax3, Jmax3);
Step 5. is fitted using quadratic equation, obtains the value of three parameters a, b, c of quadratic fit relationship;
The playback of step 6. all facilities, terminates.
The workflow of the use process of present device such as Fig. 4:
Step 1. operator is controlled by computer, places each test sample, inputs threshold parameter, setting shooting platform machine
The camera site of people;
Step 2. computer control shooting platform robot reaches designated position;
Prototyping Platform is expected on step 3. computer control transfer robot;
Step 4. liquid crystal display issues brightness, while blue light filter camera shoots video;
Step 5. Image Acquisition;
Step 6. image preprocessing;
Step 7. image analysis;
The playback of step 8. all facilities, terminates;
A kind of the advantages of testing and analyzing equipment and its algorithm for liquid crystal display blue light components of the invention, is: first is that detection view
Field is big, second is that real-time is high, third is that the parameters such as intellectual analysis effect, such as spatial uniformity, time stability, maximum, four
Be it is cheap, can be with the quality of production of General Promotion product.
Claims (5)
1. a kind of manufacturing method for testing and analyzing equipment for liquid crystal display blue light components, it is characterized in that the detection and analysis equipment packet
Controller, Prototyping Platform, shooting platform robot and the camera with blue light filter are included, the camera with blue light filter passes through shooting platform machine
Device people is arranged above Prototyping Platform, controller connection shooting platform robot and camera, the movement of control shooting platform robot with
And the shooting of camera, blue light detection parameters are obtained by learning process, are configured in controller, the detection point that configuration is completed is obtained
Desorption device, process under are as follows:
1) Image Acquisition, Prototyping Platform are set in darkroom, and liquid crystal display sample is arranged on Prototyping Platform, export pure white, t1
After second, with blue light filter camera, in the stable state video of dark indoor shot liquid crystal display, acquisition quantity is Frame_total frame
Picture In,n∈(1,…,Frame_total);
2) it pre-processes, extracts all picture InIn gray value be greater than Th1 part, as area to be tested Idn, it is less than or equal to
The part of Th1 is considered as background area;
3) gain of parameter: with a spectrum radiance meter, the most light of the blue light components in the same region of liquid crystal display sample is acquired
Angle value Jmax1, while acquiring blue light filter camera imaging IdnMaximum gradation value Cmax1, be used as band blue light filter camera and light
Spectrum amplitude penetrates the correction of luminance meter range;
4) change the brightness of liquid crystal display sample, repeat step 1) -3), obtain the 2nd group of maximum brightness value Jmax2, maximum gradation value
Cmax2 and the 3rd group of maximum brightness value Jmax3, maximum gradation value Cmax3;
5) according to formula
The value of three parameters a, b, c of quadratic fit relationship are calculated, formula J then can be usedr=a*Cr 2+b*Cr+ c comes
Calculate the brightness value C obtained with blue light filter camerarIt is converted to practical blue light components value JrProcess, by obtained formula configure
In the controller for testing and analyzing equipment, the detection of blue light components can be directly completed by the shooting of the camera with blue light filter.
2. a kind of detection and analysis equipment for liquid crystal display blue light components, it is characterized in that including controller, Prototyping Platform, shooting platform
Robot and camera with blue light filter, the camera with blue light filter are arranged above Prototyping Platform by shooting platform robot,
Controller connection shooting platform robot and camera, control shoot the movement of platform robot and the shooting of camera, match in controller
It is equipped with the formula J that manufacturing method described in claim 1 obtainsr=a*Cr 2+b*Cr+c。
3. a kind of detection and analysis equipment for liquid crystal display blue light components according to claim 2, it is characterized in that controller
In be also configured with image analysis program, described program completes following steps:
1) Id is calculatednIn each frame picture gray value maximum value Idmaxn, n ∈ (1 ..., Frame_total), in Idmaxn
In this Frame_total value, their maximum value Id2max is taken;Then, formula J is utilizedr=a*Cr 2+b*Cr+ c is calculated
The corresponding Jd2max of Id2max is exported as maximum value;
2) Id is calculatednIn each frame picture gray value average value Idavgn, n ∈ (1 ..., Frame_total), then again
The gray value average value Idavg of all picturesnIt is added, the average gray of entire video is arrived divided by Frame_total
Id2avg utilizes formula Jr=a*Cr 2+b*Cr+ c calculates the corresponding Jd2avg of Id2avg, exports as video average value;
3) Id is calculatednIn each frame picture gray value variance yields Idvarn, n ∈ (1 ..., Frame_total), all
IdvarnIt is added, obtains the stability data Id2var of entire video, directly exported using Id2var as video stabilisation.
4. the detection and analysis equipment according to claim 2 or 3 for liquid crystal display blue light components, it is characterized in that Prototyping Platform
Balance ruler is equipped with the camera with blue light filter.
5. the detection and analysis equipment according to claim 2 or 3 for liquid crystal display blue light components, it is characterized in that controller connects
It is connected to acousto-optic hint unit.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910545670.4A CN110361165B (en) | 2019-06-22 | 2019-06-22 | Manufacturing method for liquid crystal screen blue light component detection and analysis equipment and equipment manufactured by same |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910545670.4A CN110361165B (en) | 2019-06-22 | 2019-06-22 | Manufacturing method for liquid crystal screen blue light component detection and analysis equipment and equipment manufactured by same |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110361165A true CN110361165A (en) | 2019-10-22 |
CN110361165B CN110361165B (en) | 2020-11-06 |
Family
ID=68216586
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910545670.4A Active CN110361165B (en) | 2019-06-22 | 2019-06-22 | Manufacturing method for liquid crystal screen blue light component detection and analysis equipment and equipment manufactured by same |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110361165B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112966721A (en) * | 2021-02-06 | 2021-06-15 | 北京优彩科技有限公司 | Blue light detection method and device |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH06149171A (en) * | 1992-11-10 | 1994-05-27 | Mitsubishi Electric Corp | Image display device |
JPH09274163A (en) * | 1996-04-04 | 1997-10-21 | Matsushita Electric Ind Co Ltd | Inspection method for liquid crystal panel |
JPH1194696A (en) * | 1997-09-22 | 1999-04-09 | Ricoh Co Ltd | Ccd inspection device and method therefor |
JP2005148670A (en) * | 2003-11-20 | 2005-06-09 | Seiko Epson Corp | Method and device for generating inspection image for liquid crystal panel, and method and device for inspecting outward shape |
CN102803917A (en) * | 2009-06-18 | 2012-11-28 | 夏普株式会社 | Defect inspection method and defect inspection device for display panel |
JP2015055561A (en) * | 2013-09-12 | 2015-03-23 | 株式会社クラレ | Defect inspection method and defect inspection device of microlens array |
CN204330288U (en) * | 2014-12-02 | 2015-05-13 | 辽宁何氏医学院 | Hand-held blue light leaches detecting device |
CN105225235A (en) * | 2015-09-18 | 2016-01-06 | 北京航空航天大学 | A kind of video flame detecting method based on multispectral characteristic |
CN107402119A (en) * | 2017-08-28 | 2017-11-28 | 苏州华兴源创电子科技有限公司 | For detecting the filtering apparatus of OLED screen, the detection means of OLED screen and method |
CN108038906A (en) * | 2017-12-26 | 2018-05-15 | 山东师范大学 | A kind of three-dimensional quadrilateral mesh model reconstruction method based on image |
CN108876799A (en) * | 2018-06-12 | 2018-11-23 | 杭州视氪科技有限公司 | A kind of real-time step detection method based on binocular camera |
-
2019
- 2019-06-22 CN CN201910545670.4A patent/CN110361165B/en active Active
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH06149171A (en) * | 1992-11-10 | 1994-05-27 | Mitsubishi Electric Corp | Image display device |
JPH09274163A (en) * | 1996-04-04 | 1997-10-21 | Matsushita Electric Ind Co Ltd | Inspection method for liquid crystal panel |
JPH1194696A (en) * | 1997-09-22 | 1999-04-09 | Ricoh Co Ltd | Ccd inspection device and method therefor |
JP2005148670A (en) * | 2003-11-20 | 2005-06-09 | Seiko Epson Corp | Method and device for generating inspection image for liquid crystal panel, and method and device for inspecting outward shape |
CN102803917A (en) * | 2009-06-18 | 2012-11-28 | 夏普株式会社 | Defect inspection method and defect inspection device for display panel |
JP2015055561A (en) * | 2013-09-12 | 2015-03-23 | 株式会社クラレ | Defect inspection method and defect inspection device of microlens array |
CN204330288U (en) * | 2014-12-02 | 2015-05-13 | 辽宁何氏医学院 | Hand-held blue light leaches detecting device |
CN105225235A (en) * | 2015-09-18 | 2016-01-06 | 北京航空航天大学 | A kind of video flame detecting method based on multispectral characteristic |
CN107402119A (en) * | 2017-08-28 | 2017-11-28 | 苏州华兴源创电子科技有限公司 | For detecting the filtering apparatus of OLED screen, the detection means of OLED screen and method |
CN108038906A (en) * | 2017-12-26 | 2018-05-15 | 山东师范大学 | A kind of three-dimensional quadrilateral mesh model reconstruction method based on image |
CN108876799A (en) * | 2018-06-12 | 2018-11-23 | 杭州视氪科技有限公司 | A kind of real-time step detection method based on binocular camera |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112966721A (en) * | 2021-02-06 | 2021-06-15 | 北京优彩科技有限公司 | Blue light detection method and device |
CN112966721B (en) * | 2021-02-06 | 2021-11-09 | 北京优彩科技有限公司 | Blue light detection method and device |
Also Published As
Publication number | Publication date |
---|---|
CN110361165B (en) | 2020-11-06 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108682365A (en) | A kind of detection of OLED color spots with repair integral system, method | |
US9797767B2 (en) | Calibration of microscopy systems | |
US11818513B2 (en) | Self-adaptive adjustment method and adjustment system for brightness of projection apparatus | |
CN110428762B (en) | OLED panel aging test luminescence characteristic detection method based on pixel brightness | |
US7616314B2 (en) | Methods and apparatuses for determining a color calibration for different spectral light inputs in an imaging apparatus measurement | |
CN108594484A (en) | Panel detection and reparation integral system | |
US9800868B2 (en) | Image-sticking inspection method for liquid crystal panel and device of the same | |
CN110310596B (en) | GAMMA (GAMMA-GAMMA) adjustment initial value prediction method and system of OLED module | |
CN109949725B (en) | Image gray level standardization method and system for AOI system | |
CN104992446B (en) | The image split-joint method of non-linear illumination adaptive and its realize system | |
CN112885289B (en) | Display screen calibration method and device | |
CN107197122A (en) | A kind of method for correcting flat field being imaged for area array cameras | |
CN112185301B (en) | Display device correction method and device and processor | |
CN109596054A (en) | The size detection recognition methods of strip workpiece | |
KR20070078682A (en) | System and method for evaluating a color deviation of a dynamic image of display | |
CN106782233B (en) | OLED display screen detection system and application thereof | |
CN110361165A (en) | A kind of equipment for the manufacturing method and its manufacture testing and analyzing equipment for liquid crystal display blue light components | |
CN108010071B (en) | System and method for measuring brightness distribution by using 3D depth measurement | |
CN208459716U (en) | A kind of liquid crystal display detection device | |
CN108508022B (en) | Multi-camera splicing imaging detection method | |
CN101815190B (en) | Projection display system and characteristic analysis method thereof | |
CN108489989A (en) | The two-sided appearance detecting instrument of photovoltaic module based on the detection of polyphaser joining image-forming | |
CN109584768A (en) | The acquisition methods of photo dazzle color temperature | |
CN103531173B (en) | A kind of screen color method of adjustment and device | |
CN116297478A (en) | Method, device and system for detecting coating defects of photovoltaic glass |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |