CN102446126A - Test method of camera module and related test system - Google Patents
Test method of camera module and related test system Download PDFInfo
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- CN102446126A CN102446126A CN2010105078752A CN201010507875A CN102446126A CN 102446126 A CN102446126 A CN 102446126A CN 2010105078752 A CN2010105078752 A CN 2010105078752A CN 201010507875 A CN201010507875 A CN 201010507875A CN 102446126 A CN102446126 A CN 102446126A
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Abstract
The invention relates to a test method of a camera module and a related test system. The test method comprises the following steps of: controlling a camera module to shoot a test image so as to generate an output image, wherein the test image comprises characters represented by red, green and blue; analyzing the output image by using an optical character recognition function so as to generate a recognition result; and judging whether the function of the camera module is normal according to the recognition result.
Description
Technical field
The present invention relates to a kind of method of testing and dependence test system of camera model, relate in particular to a kind of whether normal method of function and dependence test system of automatic test camera model.
Background technology
For satisfying popular demand, have camera model as network camera in the most mobile computer, to realize video conference, video recording and camera function for video communication.The main element of camera model is camera lens and image sensor, and image sensor converts the light signal that camera lens throwed into electronic signal, and the image processor that exports in the mobile computer is handled, and then generation is shown in the image frame on the screen.
Mobile computer is to produce with manual work assembling, in assembling process, possibly camera model is not installed on the tram because of artificial careless mistake, causes the function of network camera can't normal operation, and part shooting picture crested etc. is for example arranged.On the other hand, the camera model itself that is assembled in the mobile computer possibly be bad part, and for example wherein the color filter film of image sensor is undesired and cause the color exception of recording a video.Therefore, on the production line of mobile computer, network camera must could be confirmed whether normal operation of function through test after installation.
The method of test network video camera is to carry out with manual type on the known production line; On mobile computer to be measured, start the video recording program; The Control Network video camera is recorded a video; Whether record film is down play in tester table in the back, inspect film by operator and normally show, normally whether function that to use the judgement network camera.Because can't confirm operator operational testing step whether really, the fiduciary level of test result is not high, in the mobile computer through test, still possibly find the assembling deviation or the color display abnormality person of network camera.
Summary of the invention
Therefore, fundamental purpose of the present invention promptly is to provide a kind of method of testing and dependence test system of automatic test camera model.
The present invention discloses a kind of method of testing of camera model, includes control one camera model and takes a test pattern, and to produce an output image, this test pattern comprises the character of red, green, blue trichromatic specification; With this output image of optical character recognition OCR functional analysis, to produce an identification result; And, judge whether the function of this camera model is normal according to identification result.
The present invention discloses a kind of test macro of camera model in addition, includes an electronic installation, wherein comprises a camera model; One testing image wherein comprises the character with the red, green, blue trichromatic specification; And an analytical equipment, being coupled to this electronic installation, this analytical equipment is used for controlling this camera model and takes this test pattern, to produce an output image; With this output image of optical character recognition OCR functional analysis, to produce an identification result; And, judge whether the function of this camera model is normal according to identification result.
Description of drawings
Fig. 1 is the synoptic diagram of the embodiment of the invention one test macro.
Fig. 2 is the synoptic diagram of the embodiment of the invention one flow process.
[main element symbol description]
10 test macros
100 electronic installations
102 test patterns
104 analytical equipments
106 camera models
20 flow processs
200,202,204,206,208,210,212 steps
Embodiment
Please refer to Fig. 1, Fig. 1 is the synoptic diagram of the embodiment of the invention one test macro 10.Test macro 10 includes an electronic installation 100, a test pattern (Test Pattern) 102 and one analytical equipment 104, has a camera model 106 in the electronic installation 100, i.e. the device to be measured of test macro 10.The electronic installation 100 of Fig. 1 and camera model 106 are to be example with mobile computer and network camera thereof, yet the application of electronic installation 100 and camera model 106 is not exceeded with above-mentioned, can be the video camera of other portable apparatus and The built-in yet.Test pattern 102 comprises the character with the red, green, blue trichromatic specification; It is necessary for optical character recognition OCR function (Optical Character Recognition; OCR) the image of literal, numeral or the punctuation mark that can recognize and change, test pattern 102 for example shown in Figure 1 is represented R, G, three English characters of B respectively with the red, green, blue look.Employed font is selected in the test pattern 102, can know that with the optical character recognition OCR function identification is as the criterion, and avoids the use of too complicated or abstract font.Analytical equipment 104 is coupled to electronic installation 100, is one can carry out the computer system of optical character recognition OCR function.Analytical equipment 104 can pass through its inner software program, and control electronic installation 100 carries out corresponding action.
The running of test macro 10; In brief; Be to take test pattern 102 with camera model 106; The image of taking gained is sent to analytical equipment 104, and analytical equipment 104 is carried out the character of optical character recognition OCR functions to represent in the recognition graph picture, and judges according to whether correctly recognizing character whether the function of camera model 106 is normal.Please refer to Fig. 2, the synoptic diagram of Fig. 2 embodiment of the invention one flow process 20.Whether flow process 20 is used for test macro 10, normal in order to the function of judging camera model 106.Flow process 20 includes following steps:
Step 200: beginning.
Step 202: camera model 106 is taken test pattern 102, to produce an output image.
Step 204: analytical equipment 104 is with optical character recognition OCR functional analysis output image, to produce an identification result.
Step 206: whether analytical equipment 104 inspection identification results comprise characters all in the test pattern 102.If carry out step 208; If not, carry out step 210.
Step 208: the function of judging camera model 106 is normal.
Step 210: the dysfunction of judging camera model 106.
Step 212: finish.
According to step 202, camera model 106 is taken test pattern 102, and to produce an output image, output image promptly is the image of testing image 102.Camera model 106 is ordered by the user with the distance and the camera model 106 employed setup parameters of test pattern 102 certainly.Please note earlier; The present invention does not limit the device that control camera model 106 is taken; Camera model 106 can be by manually-operated electronic installation 100 to control; Or, control camera model 106 through the line between electronic installation 100 and the analytical equipment 104 and take by manually-operated analytical equipment 104.After taking completion, electronic installation 100 exports output image to analytical equipment 104.
According to step 204, analytical equipment 104 to produce an identification result, wherein comprises the character that analytical equipment 104 obtains according to the identification of output image institute with optical character recognition OCR functional analysis output image.Whether step 206 to step 210 function that to be analytical equipment 104 judge camera model 106 according to identification result normal step, and when identification result correctly comprised characters all in the test pattern, analytical equipment 104 judged that the function of camera models 106 is normal.Otherwise when identification result did not correctly comprise characters all in the test pattern, analytical equipment 104 was judged the dysfunction of camera model 106.
Test pattern 102 to comprise R, G, B among Fig. 1 is an example, and the identification result that produces when analytical equipment 104 has comprised R, G, three characters of B equally, and identification result can know that the character in the output image is sufficiently clear thus; In other words, camera model 106 captured images are sufficiently clears, so the function of decidable camera model 106 is normal.On the other hand; The identification result that produces when analytical equipment 104 has only comprised wherein one or two character of R, G, B; For example only comprise R, B and do not comprise G; The function of decidable camera model 106 is undesired, maybe be because the color filter film of camera model 106 self causes green image normally to show unusually.Perhaps; When identification result only comprises R, G and does not comprise B; Except possibly also being that camera model 106 is not mounted to the tram in the fuselage of electronic installation 100, cause the camera lens edge crested of camera model 106 because the color filter film of camera model 106 self causes blue image can't normally show unusually; Therefore, the character B that is arranged in test pattern 102 edges also just can't be shown in the output image that camera model 106 is produced.Through checking whether identification result comprises the step of characters all in the test pattern 102, and parafunctional camera model 106 can be detected apace.
Please note at this; The purpose of flow process 20 is that robotization differentiation electronic installation 100 has normal or unusual camera model 106 on production line; Reduce to the influence that will artificially judge by accident minimum, as for the step of confirming that camera model 106 is why unusual, not in the scope of institute of the present invention desire protection.When the camera model 106 of an electronic installation 100 to be measured is judged as unusually, other manual works or robotization mode can be provided on the production line, further check the reason that camera model 106 is unusual.
On real the work, when analytical equipment 104 judges that according to identification result the function of camera model 106 is normal or unusual, should show identification result on the screen of analytical equipment 104, supply operating personnel to compare identification result and whether conform to the content of test pattern 102.Preferably, the screen of analytical equipment 104 also can show the printed words or the diagram of " normally " or " unusually " simultaneously except showing identification result, supplies operating personnel to distinguish, and to fall the probability of the artificial erroneous judgement in ground, improves the fiduciary level of test.
With the function of judgement camera model normally whether in sum, the present invention takes the image that produces with optical character recognition OCR function identification camera model to be measured, the character content in identification result and the test pattern is compared.Compared to known mode of inspecting the captured film of camera model to be measured with manual work, the present invention transfers to computer automation with judgment task and carries out, and has significantly improved the fiduciary level of test.
The above is merely the preferred embodiments of the present invention, and all equalizations of doing according to claims of the present invention change and modify, and all should belong to covering scope of the present invention.
Claims (8)
1. the method for testing of a camera model includes:
Control a camera model and take a test pattern, to produce an output image, wherein this test pattern comprises the character with the red, green, blue trichromatic specification;
With this output image of optical character recognition OCR functional analysis, to produce an identification result; And
According to this identification result, judge whether the function of this camera model is normal.
2. method of testing as claimed in claim 1, wherein judge to include the whether normal step of function of this camera model according to this identification result:
When this identification result comprises characters all in this test pattern, judge that the function of this camera model is normal.
3. method of testing as claimed in claim 1, wherein judge to include the whether normal step of function of this camera model according to this identification result:,
When this identification result does not comprise characters all in this test pattern, judge the dysfunction of this camera model.
4. method of testing as claimed in claim 1, the character that wherein this test pattern comprised is literal, numeral or symbol.
5. the test macro of a camera model includes:
One electronic installation wherein comprises a camera model;
One testing image wherein comprises the character with the red, green, blue trichromatic specification; And
One analytical equipment is coupled to this electronic installation, is used for:
Control this camera model and take this test pattern, to produce an output image;
With this output image of optical character recognition OCR functional analysis, to produce an identification result; And
According to this identification result, judge whether the function of this camera model is normal.
6. test macro as claimed in claim 5, wherein this analytical equipment judges that the function of this camera model is normal when this identification result comprises characters all in this test pattern.
7. test macro as claimed in claim 5, wherein this analytical equipment is judged the dysfunction of this camera model when this identification result does not comprise characters all in this test pattern.
8. test macro as claimed in claim 5, the character that wherein this test pattern comprised is literal, numeral or symbol.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010105078752A CN102446126A (en) | 2010-10-15 | 2010-10-15 | Test method of camera module and related test system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN2010105078752A CN102446126A (en) | 2010-10-15 | 2010-10-15 | Test method of camera module and related test system |
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| CN102446126A true CN102446126A (en) | 2012-05-09 |
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| CN2010105078752A Pending CN102446126A (en) | 2010-10-15 | 2010-10-15 | Test method of camera module and related test system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105812785A (en) * | 2014-12-31 | 2016-07-27 | 饰而杰汽车制品（苏州）有限公司 | Device used for detecting imaging device and method used for detecting imaging device |
| CN106973286A (en) * | 2017-03-20 | 2017-07-21 | 上海与德科技有限公司 | The detection method of camera hardware circuit, apparatus and system |
| CN108366253A (en) * | 2018-01-11 | 2018-08-03 | 福建联迪商用设备有限公司 | The test method and intelligent object of camera function |
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| US20040059462A1 (en) * | 2002-09-20 | 2004-03-25 | Norris Michael O. | Hand held OCR apparatus and method |
| CN101082956A (en) * | 2006-06-02 | 2007-12-05 | 英华达(上海)电子有限公司 | Device and method for foreign words translation on hand-hold equipment based on photograph |
| CN101330633A (en) * | 2007-06-21 | 2008-12-24 | 英业达股份有限公司 | Equipment and method for detecting image viewfinding device |
| TW200935322A (en) * | 2008-02-05 | 2009-08-16 | Nat Univ Tsing Hua | Handheld electronic apparatus with translation function and translation method using the same |
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2010
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US20040059462A1 (en) * | 2002-09-20 | 2004-03-25 | Norris Michael O. | Hand held OCR apparatus and method |
| CN101082956A (en) * | 2006-06-02 | 2007-12-05 | 英华达(上海)电子有限公司 | Device and method for foreign words translation on hand-hold equipment based on photograph |
| CN101330633A (en) * | 2007-06-21 | 2008-12-24 | 英业达股份有限公司 | Equipment and method for detecting image viewfinding device |
| TW200935322A (en) * | 2008-02-05 | 2009-08-16 | Nat Univ Tsing Hua | Handheld electronic apparatus with translation function and translation method using the same |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105812785A (en) * | 2014-12-31 | 2016-07-27 | 饰而杰汽车制品（苏州）有限公司 | Device used for detecting imaging device and method used for detecting imaging device |
| CN106973286A (en) * | 2017-03-20 | 2017-07-21 | 上海与德科技有限公司 | The detection method of camera hardware circuit, apparatus and system |
| CN108366253A (en) * | 2018-01-11 | 2018-08-03 | 福建联迪商用设备有限公司 | The test method and intelligent object of camera function |
| CN108366253B (en) * | 2018-01-11 | 2020-01-31 | 福建联迪商用设备有限公司 | Camera function testing method and intelligent module |
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Application publication date: 20120509 |