CN110392254A - A kind of focusing test method and terminal device based on image definition evaluation algorithm - Google Patents
A kind of focusing test method and terminal device based on image definition evaluation algorithm Download PDFInfo
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- CN110392254A CN110392254A CN201910679049.7A CN201910679049A CN110392254A CN 110392254 A CN110392254 A CN 110392254A CN 201910679049 A CN201910679049 A CN 201910679049A CN 110392254 A CN110392254 A CN 110392254A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T9/00—Image coding
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/002—Diagnosis, testing or measuring for television systems or their details for television cameras
Abstract
The invention discloses a kind of focusing test methods and terminal device based on image definition evaluation algorithm comprising: obtain the focusing image to be tested that image collecting device is shown；The clarity evaluation of estimate of the focusing image to be tested is determined according to the focusing image to be tested and image definition evaluation algorithm, and the clarity evaluation of estimate is compared with default clarity Evaluation threshold；When the clarity evaluation of estimate is greater than the default clarity Evaluation threshold, described image acquisition device is qualification.The efficiency and accuracy rate of focusing test can be greatly improved in this way, to promote the production efficiency of factory and guarantee the quality of product.
Description
Technical field
Focusing test station technical field when camera production is had the present invention relates to factory IPCAM, DVR etc.,
In particular to a kind of focusing test method and terminal device based on image definition evaluation algorithm.
Background technique
Currently, the product for IPCAM, DVR etc. with camera, whether the focal length of camera lens is adjusted correctly, is directly influenced
The clarity of camera image.Therefore in factory's volume production, it is particularly important that the test after focusing and focusing, which confirms link,
's.
In previous production technology, we, which focus, is carried out by automatic focusing machine, this step has been realized in certainly
Dynamicization.Secondly, camera lens is after focusing machine is focused in production procedure, before gluing is fixed, worker is possible to accidentally touch mirror
Head leads to focal distance fluctuation.And the test after focusing, it is currently to watch camera image by naked eyes by the QA personnel of factory (to adjust
Coke figure), to judge whether equipment focusing is qualified.This deterministic process is to labor claim height, and viewing image holds for a long time for factory
Easy visual fatigue causes to judge by accident.
In the prior art, the way of many factories be all using QA personnel by naked eyes subjective determination by the way of.Reason
It is to can not find really practical, meet factory needing tests burnt testing tool.The common camera shooting that we can find on the net
Head sees figure tool (AMCap) do not have the function of clarity evaluation.
Thus the prior art could be improved and improve.
Summary of the invention
The technical problem to be solved in the present invention is that in view of the deficiencies of the prior art, providing a kind of based on image definition
The focusing test method and terminal device of evaluation algorithms, to solve that camera image can only be watched by naked eyes in the prior art
(focusing figure) judge whether equipment focusing qualified, caused by the focusing problem that accuracy rate is low and testing efficiency is low.
In order to solve the above-mentioned technical problem, the technical solution adopted in the present invention is as follows:
A kind of focusing test method based on image definition evaluation algorithm comprising:
Obtain the focusing image to be tested that image collecting device is shown；
The clear of the focusing image to be tested is determined according to the focusing image to be tested and image definition evaluation algorithm
Clear degree evaluation of estimate, and the clarity evaluation of estimate is compared with default clarity Evaluation threshold；
When the clarity evaluation of estimate is greater than the default clarity Evaluation threshold, described image acquisition device is to close
Lattice.
The focusing test method based on image definition evaluation algorithm, further include:
When the clarity evaluation of estimate is less than the default clarity evaluation of estimate, described image acquisition device is not conform to
Lattice.
The focusing test method based on image definition evaluation algorithm, wherein the acquisition image collecting device is aobvious
The focusing image to be tested shown specifically includes:
The camera lens of image collecting device is opened by DirectShow, and the camera lens for obtaining described image acquisition device is shown
Image data；
Described image data are decoded, to get focusing image to be tested.
The focusing test method based on image definition evaluation algorithm, wherein described that described image data are carried out
Decoding, is specifically included with getting focusing image to be tested:
Described image data are decoded by ffmpeg video display arts, to get focusing image to be tested.
The focusing test method based on image definition evaluation algorithm, wherein the acquisition image collecting device is aobvious
After the focusing image to be tested shown further include:
Video is plotted in by the focusing image to be tested that Video Rendering technology shows described image acquisition device to show
Window.
The focusing test method based on image definition evaluation algorithm, wherein the acquisition image collecting device is aobvious
Before the focusing image to be tested shown further include:
Image collecting device is connected into terminal device by USB.
The focusing test method based on image definition evaluation algorithm, wherein described to pass through image collecting device
After USB connection terminal device further include:
Search the device identification of image collecting device；
According to the device identification, the focusing image to be tested that described image acquisition device is shown is obtained.
The focusing test method based on image definition evaluation algorithm, further include:
After being completed, automatically by the sequence number of described image acquisition device, the corresponding tune of described image acquisition device
The clarity evaluation of estimate and test result of burnt image are saved in preset electrical form.
A kind of computer readable storage medium, wherein the computer-readable recording medium storage has one or more
Program, one or more of programs can be executed by one or more processor, to realize described in any one as above
Step in focusing test method based on image definition evaluation algorithm.
A kind of terminal device, wherein include: processor and memory；Being stored on the memory can be by the processing
The computer-readable program that device executes；The processor is realized described in any one as above when executing the computer-readable program
The focusing test method based on image definition evaluation algorithm in step.
The utility model has the advantages that compared with prior art, the present invention provides a kind of focusing based on image definition evaluation algorithm
Test method and terminal device, which comprises obtain the focusing image to be tested that image collecting device is shown；According to described
Focusing image and image definition evaluation algorithm to be tested determines the clarity evaluation of estimate of the focusing image to be tested, and by institute
Clarity evaluation of estimate is stated to be compared with default clarity Evaluation threshold；When the clarity evaluation of estimate is greater than described preset clearly
When spending Evaluation threshold, described image acquisition device is qualification.The efficiency and accuracy rate of focusing test can be greatly improved in this way, from
And it promotes the production efficiency of factory and guarantees the quality of product.
Detailed description of the invention
Fig. 1 is a kind of focusing test method preferred embodiment based on image definition evaluation algorithm provided by the invention
Flow chart.
Fig. 2 is step S100 in a kind of focusing test method based on image definition evaluation algorithm provided by the invention
Specific flow chart.
The structure principle chart of Fig. 3 terminal device preferred embodiment provided by the invention.
Specific embodiment
The present invention provides a kind of focusing test method and terminal device based on image definition evaluation algorithm, to make this hair
Bright purpose, technical solution and effect are clearer, clear, as follows in conjunction with drawings and embodiments to of the invention further detailed
Explanation.It should be appreciated that described herein, specific examples are only used to explain the present invention, is not intended to limit the present invention.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singular " one " used herein, " one
It is a ", " described " and "the" may also comprise plural form.It is to be further understood that being arranged used in specification of the invention
Diction " comprising " refer to that there are the feature, integer, step, operation, element and/or component, but it is not excluded that in the presence of or addition
Other one or more features, integer, step, operation, element, component and/or their group.It should be understood that when we claim member
Part is " connected " or when " coupled " to another element, it can be directly connected or coupled to other elements, or there may also be
Intermediary element.In addition, " connection " used herein or " coupling " may include being wirelessly connected or wirelessly coupling.It is used herein to arrange
Diction "and/or" includes one or more associated wholes for listing item or any cell and all combinations.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art
Language and scientific term), there is meaning identical with the general understanding of those of ordinary skill in fields of the present invention.Should also
Understand, those terms such as defined in the general dictionary, it should be understood that have in the context of the prior art
The consistent meaning of meaning, and unless idealization or meaning too formal otherwise will not be used by specific definitions as here
To explain.
With reference to the accompanying drawing, by the description of the embodiment, further explanation of the contents of the invention are made.
Please refer to Fig. 1, Fig. 1 be it is provided by the invention it is a kind of based on the focusing test method of image definition evaluation algorithm compared with
The flow chart of good embodiment.The described method includes:
S100, the focusing image to be tested that image collecting device is shown is obtained.
Specifically, described image acquisition device is the appliance arrangement with camera, such as IPCAM, DVR etc..It is described
IPCAM is the web camera based on internet protocol；DVR is a kind of digital video video recorder.That is, this
Lens focusing scheme used by inventing can be applied in the equipment for having camera.In the present embodiment, described image acquisition
Device is equipped with player, the video image that can be shot by the player with real-time display camera, to work as player
When can normally show video image, tester can know that present image acquisition device can be started with normal boot-strap.
In the present embodiment, the focusing image to be tested that the acquisition image collecting device is shown is specifically included:
S101, the camera lens that image collecting device is opened by DirectShow, and obtain the mirror of described image acquisition device
The image data of head display；
S102, described image data are decoded, to get focusing image to be tested.
Specifically, DirectShow is a multimedia software frame in Microsoft's Windows operating system, passes through this
Software frame, the available video data to USB camera of program developer, this is exactly industry on windows platform
Standard.But the encapsulation to DirectShow is provided in ffmpeg software library, that is to say, that we can pass through ffmpeg
To access DirectShow.Correspondingly, described be decoded described image data, it is specific to get focusing image to be tested
Include:
Described image data are decoded by ffmpeg video display arts, to get focusing image to be tested.
The ffmpeg is the multimedia audio-video encoding and decoding library of an open source.It is preferred in the present embodiment, select ffmpeg, be because
It is increased income and provides powerful function, including the conversion of video acquisition function, video format, video capture, to video adds water
Print etc..In the variant embodiment of the present embodiment, when the compressed format of video is Mjpeg, libjpeg can be used also to solve
Code, this is an alternative solution, here without limitation, it is possible to understand that, above scheme is also in the range of the present invention is protected.
In the present embodiment, after the focusing image to be tested that the acquisition image collecting device is shown further include:
Video is plotted in by the focusing image to be tested that Video Rendering technology shows described image acquisition device to show
Window.
Specifically, the Video Rendering technology is the Video Rendering technology based on Win32 GDI/Direct3D, In
On windows platform, current usable Video Rendering technology is also substantially with regard to both (in addition also DirectDraw but
It is out-of-date, do not use substantially).So-called Video Rendering, that is the Image Rendering of camera is shown to the window of windows
On mouth, if not using this technology, video image all be can't see.And the video data to be rendered, exactly by broadcasting
The decoded camera video data of device are put, by decoding H264/MJPEG data, have become YUV or RGB data, thus
Window directly can be plotted to up by GDI or Direct3D.
In the present embodiment, before the focusing image to be tested that the acquisition image collecting device is shown further include:
S0, image collecting device is connected into terminal device by USB.
Specifically, each image collecting device to be tested, requires to connect terminal by being manually inserted into USB and sets
Standby/end PC, when image collecting device and terminal device pass through USB successful connection, image collecting device will Auto Power On, into
Enter test pattern, that is, the camera mode of USB.Also, the testing tool on terminal device/end PC, can be automatically performed just
Normal test process.Further, it is described by image collecting device by USB connection terminal device after further include:
S01, the device identification for searching image collecting device；
S02, according to the device identification, the focusing image to be tested for taking described image acquisition device to show.
Specifically, post a bar code or two dimensional code on the fuselage of each image collecting device, the bar code or
Person's two dimensional code represents the exclusive identification code (that is, device identification) of each image collecting device, that is to say, that works as image collector
When the exclusive identification code set is scanned successfully, the identification code will be directly inputted in testing tool of the invention.And institute
After stating identification code and will being directly inputted in testing tool of the invention, tester waits camera on testing tool interface
The appearance of image.Here, the work to be done of tester is mainly: 1. slotting USB bootings；2. scanning bar code；3. checking survey
Test result.
S200, the focusing image to be tested is determined according to the focusing image to be tested and image definition evaluation algorithm
Clarity evaluation of estimate, and the clarity evaluation of estimate is compared with default clarity Evaluation threshold.
Specifically, clarity evaluation algorithms are a kind of algorithms inside Computer Image Processing, and there are many sides evaluated
Method.Specific working principle is the image data (an actually two-dimensional array) to input, with sharpness evaluation function pair
Each pixel is handled, and the clarity of image is calculated.And the input of algorithm process, it is that image, output are one by one
The numerical value of one clarity is probably the numberical range of 0-200.
In the present embodiment, there are many algorithms of image definition, can select according to the actual situation, does not do here specific
Restriction.Illustratively, the clarity evaluation algorithms preferably use Laplacian gradient function algorithm, Laplacian gradient
Function and Tenengrad gradient function are almost the same, substitute Sobel operator with Laplacian operator, the operator definitions are such as
Under:
Therefore the image star clarity based on Laplacian gradient function is defined as follows:
D (f)=∑y∑x| G (x, y) | (G (x, y) > T)
Wherein, G (x, y) is the convolution of Laplacian operator at pixel (x, y).
It should be noted that Tenengrad gradient function extracts ladder both horizontally and vertically using Sobel operator respectively
The image definition of angle value, base and Tenengrad gradient function is defined as follows:
D (f)=∑y∑x| G (x, y) | (G (x, y) > T)
The form of G (x, y) is as follows:
Wherein, T is given edge detection threshold, and Gx and Gy are the horizontal and vertical side of Sobel at pixel (x, y) respectively
To the convolution of edge detection operator, it is proposed that detect edge using Sobel operator template below:
It should be noted that previous sees that figure tool (for example, AMCap or VLC) player can be directly viewable camera
Image, still, there is no clarity evaluation function.Therefore in the present embodiment, in existing production survey tool, (camera is seen
Figure tool) in, clarity evaluation algorithms are introduced, to carry out one clearly to the focusing picture face shown when preceding camera
The process of subjective determination is converted to automation, objective judgement process, so as to greatly improve focusing by degree evaluation
The efficiency and accuracy rate of test, to also promote the production efficiency of factory and the quality of product.
In the present embodiment, due to our clarity evaluations of estimate obtained by calculation, with image resolution ratio size and test
Pattern has certain relationship.The actual clarity evaluation of the difference (640x480,1280x720,1920x1080) of the resolution ratio of camera lens
Value is also different, and usually resolution ratio more fine definition evaluation of estimate is higher.The difference of the test pattern used when test also will affect
To clarity evaluation of estimate.In therefore practical application, our actual tests as a result, for qualified product, in the resolution ratio of 1080p
Under, in the focusing room of manufacturer's standard, using the focusing drawing of standard, definition values generally reach 120 or more.That is, due to not
Same product, different resolution and different test environment, clarity evaluation of estimate are different, that is to say, that this is one opposite
Evaluation criterion.In factory's practical operation, it first can with the naked eye be tested by worker and confirm the attainable definition values of non-defective unit,
For identical product and identical test environment, just using this value as judgment criteria, that is, the present invention mention it is default
Clarity Evaluation threshold.Therefore, in our test process, the default clarity Evaluation threshold is a configurable ginseng
Number, facilitates factory to use.
Further, since the present product with camera lens, video resolution is essentially all point to the such high definition of 1080p
Resolution (being 320x240,640x480,720p in the past).Resolution ratio is higher, it is meant that my program image data amount to be processed
It is bigger, requirements at the higher level thus are proposed to the performance optimization of our programs.To optimize in the present embodiment for performance, we
It is mainly based upon ffmpeg technology, realizes the multimedia player of oneself, this player can play USB camera in real time
Image.In terms of player, we utilize DXVA2 (this is the functional interface that Microsoft Direct3D 9 is provided) Lai Shixian
The hardware of MJPEG, H264 video, which decodes, to be accelerated.Us are made to play high definition (1080p) view of MJPEG, H264 on PC in this way
When frequency, the occupancy of CPU is very low (can be down to 5% or less).On the other hand, we have done centainly clarity evaluation algorithms
Optimization.It in clarity evaluation algorithms, is substantially all and has a matrix multiplication operation, we used the progress of SSE instruction set
The assembly level optimization of SIMD.
S300, when the clarity evaluation of estimate be greater than the default clarity Evaluation threshold when, described image acquisition device
For qualification.
Specifically, it as long as detecting when the clarity evaluation of estimate is greater than default clarity Evaluation threshold, decides that and takes the photograph
The test result focused as head is qualification.During specific test, tester can be camera lens against focusing pattern, clearly
Angle value reaches our scheduled threshold values and just tests to be qualified, but is all not achieved anyway, then just stopping current device
Test, and the test equipment of stopping can be selected out, it is labeled as underproof equipment, correspondingly, working as the clarity
When evaluation of estimate is less than the default clarity evaluation of estimate, described image acquisition device is unqualified.What needs to be explained here is that such as
Fruit is during the test if default clarity evaluation of estimate, image collector is not achieved always in the clarity evaluation of estimate
Set be determined as it is unqualified.
Further, after being completed, automatically by the sequence number of described image acquisition device, described image acquisition device pair
The clarity evaluation of estimate and test result for the focusing image answered are saved in preset electrical form.
Specifically, it when factory test burnt test before this, needs to install that AMcap is this kind of to see figure tool on PC, leans on
Worker carries out subjective determination with human eye, while needing test result hand-kept to Microsoft Excel the inside, average test one
The time of machine was at 2 minutes or so.And the present invention, after the testing tool automated using this set, factory only needs to set to be measured
It is standby to be connected on PC terminal device, then just wait for the display of camera image and test result, wherein an average machine
Time-consuming is within 1 minute.Correspondingly, after being completed, the testing tool can also by the sequence number of described image acquisition device,
The information preservations such as the clarity evaluation of estimate and test result of the corresponding focusing image of described image acquisition device are to preset electricity
Sub-table.
The testing tool can also be automatically by the information preservations such as machine serial number, clarity evaluation of estimate, test result to electronics
In table, it can be used for generating the statistical informations such as qualification rate, CPK, chart.The CPK is Complex Process
The abbreviation of Capability index, is a statistical value, can be seen that the product of plant produced in consistency from this value
On quality, it should be noted that CPK value is higher, illustrates that the yield of product and consistency are better.
For example, 1000 machines of plant produced, then just containing the sequence number of 1000 machines, clarity in this table
Evaluation of estimate, test result.The data such as the threshold value, video resolution, product type date of manufacture of judgement are further comprised simultaneously, thus
It shows the parameters of test result and test equipment more intuitive, facilitates statistical data.Also, this set tool passes through
After the online actual measurement of producing line, the time-consuming for testing burnt station was substantially all within 1 minute, and accuracy rate is up to 99%, greatly mentions
Production efficiency has been risen, has realized intelligent manufacturing to a certain extent.It is worth noting that scheme employed in the present embodiment
In addition to realize camera lens focusing test other than, more projects can also be tested, such as: 1, whether have dim spot, bright spot,
Dirt pits；2, whether there is dark angle；3, whether there is striped；Whether color is normal.These test items are also needing tester at present
Subjective determine, thus may be incorporated into more advanced image recognition and Processing Algorithm subsequent, sentences automatically to reach
Fixed and test purpose.
The present invention also provides a kind of computer readable storage medium, the computer-readable recording medium storage has one
Or multiple programs, one or more of programs can be executed by one or more processor, to realize above-described embodiment
Step in the focusing test method based on image definition evaluation algorithm.
The present invention also provides a kind of terminal devices, as shown in Figure 3 comprising at least one processor (processor)
20；Display screen 21；And memory (memory) 22, can also include communication interface (Communications Interface)
23 and bus 24.Wherein, processor 20, display screen 21, memory 22 and communication interface 23 can be completed mutually by bus 24
Between communication.Display screen 21 is set as preset user in display initial setting mode and guides interface.Communication interface 23 can pass
Defeated information.Processor 20 can call the logical order in memory 22, to execute the method in above-described embodiment.
In addition, the logical order in above-mentioned memory 22 can be realized and as only by way of SFU software functional unit
Vertical product when selling or using, can store in a computer readable storage medium.
Memory 22 is used as a kind of computer readable storage medium, and it is executable to may be configured as storage software program, computer
Program, such as the corresponding program instruction of method or module in the embodiment of the present disclosure.Processor 30 is stored in memory by operation
Software program, instruction or module in 22, thereby executing functional application and data processing, i.e. side in realization above-described embodiment
Method.
Memory 22 may include storing program area and storage data area, wherein storing program area can storage program area, extremely
Application program needed for a few function；Storage data area can storage server end use created data etc..In addition, depositing
Reservoir 22 may include high-speed random access memory, can also include nonvolatile memory.For example, USB flash disk, mobile hard disk,
Read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic
A variety of media that can store program code such as dish or CD, are also possible to transitory memory medium.
In addition, a plurality of instruction processing unit in above-mentioned storage medium and server end loads and the detailed process executed exists
It has been described in detail in the above method, has just no longer stated one by one herein.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of focusing test method based on image definition evaluation algorithm, characterized in that it comprises:
Obtain the focusing image to be tested that image collecting device is shown；
The clarity of the focusing image to be tested is determined according to the focusing image to be tested and image definition evaluation algorithm
Evaluation of estimate, and the clarity evaluation of estimate is compared with default clarity Evaluation threshold；
When the clarity evaluation of estimate is greater than the default clarity Evaluation threshold, described image acquisition device is qualification.
2. according to claim 1 based on the focusing test method of image definition evaluation algorithm, which is characterized in that also wrap
It includes:
When the clarity evaluation of estimate is less than the default clarity evaluation of estimate, described image acquisition device is unqualified.
3. according to claim 1 based on the focusing test method of image definition evaluation algorithm, which is characterized in that described to obtain
The focusing image to be tested for taking image collecting device to show specifically includes:
The camera lens of image collecting device, and the figure that the camera lens for obtaining described image acquisition device is shown are opened by DirectShow
As data；
Described image data are decoded, to get focusing image to be tested.
4. according to claim 3 based on the focusing test method of image definition evaluation algorithm, which is characterized in that described right
Described image data are decoded, and are specifically included with getting focusing image to be tested:
Described image data are decoded by ffmpeg video display arts, to get focusing image to be tested.
5. according to claim 3 based on the focusing test method of image definition evaluation algorithm, which is characterized in that described to obtain
After the focusing image to be tested for taking image collecting device to show further include:
Video display window is plotted in by the focusing image to be tested that Video Rendering technology shows described image acquisition device.
6. according to claim 1 based on the focusing test method of image definition evaluation algorithm, which is characterized in that described to obtain
Before the focusing image to be tested for taking image collecting device to show further include:
Image collecting device is connected into terminal device by USB.
7. according to claim 3 based on the focusing test method of image definition evaluation algorithm, which is characterized in that described to incite somebody to action
After image collecting device is by USB connection terminal device further include:
Search the device identification of image collecting device；
According to the device identification, the focusing image to be tested that described image acquisition device is shown is obtained.
8. the focusing test method according to claim 1 or claim 2 based on image definition evaluation algorithm, which is characterized in that also
Include:
After being completed, automatically by the sequence number of described image acquisition device, the corresponding focusing figure of described image acquisition device
The clarity evaluation of estimate and test result of picture are saved in preset electrical form.
9. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage have one or
Multiple programs, one or more of programs can be executed by one or more processor, to realize such as claim 1~8
The step in focusing test method described in any one based on image definition evaluation algorithm.
10. a kind of terminal device characterized by comprising processor and memory；Being stored on the memory can be described
The computer-readable program that processor executes；The processor realizes such as claim 1 when executing the computer-readable program
The step in focusing test method described in~8 any one based on image definition evaluation algorithm.
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| CN112040121A (en) * | 2020-08-19 | 2020-12-04 | 欧菲微电子技术有限公司 | Focusing method and device, storage medium and terminal |
| CN112633089A (en) * | 2020-12-11 | 2021-04-09 | 深圳市爱培科技术股份有限公司 | Video pedestrian re-identification method, intelligent terminal and storage medium |
| CN113301324A (en) * | 2021-04-30 | 2021-08-24 | 重庆紫光华山智安科技有限公司 | Virtual focus detection method, device, equipment and medium based on camera device |
| CN113822877A (en) * | 2021-11-17 | 2021-12-21 | 武汉中导光电设备有限公司 | AOI equipment microscope defect detection picture quality evaluation method and system |
| CN116760972A (en) * | 2023-08-17 | 2023-09-15 | 天津华来科技股份有限公司 | Automatic focusing detection method and equipment for lens module |
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