CN107885180A - Test equipment and method of testing - Google Patents
Test equipment and method of testing Download PDFInfo
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- CN107885180A CN107885180A CN201610875978.1A CN201610875978A CN107885180A CN 107885180 A CN107885180 A CN 107885180A CN 201610875978 A CN201610875978 A CN 201610875978A CN 107885180 A CN107885180 A CN 107885180A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
- G05B23/0213—Modular or universal configuration of the monitoring system, e.g. monitoring system having modules that may be combined to build monitoring program; monitoring system that can be applied to legacy systems; adaptable monitoring system; using different communication protocols
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
- G05B23/0216—Human interface functionality, e.g. monitoring system providing help to the user in the selection of tests or in its configuration
Abstract
The invention provides test equipment and method of testing.The test equipment includes：One image acquiring device, it is configured to obtain the image of the man-machine interface as test object；One image processing apparatus, it is configured to handle the image that image acquiring device obtains, to obtain the information related to testing；One result determining device, the information related to test that is configured to be obtained according to image processing apparatus determine test result.It is thus possible to improve testing efficiency, reduces or prevents the mistake occurred during manually determined test result.
Description
Technical field
The present invention relates to test equipment and method of testing.
Background technology
When industrial equipment when testing human-computer interaction interfaces such as Digit Control Machine Tool instrument boards is tested, operator
Need to make as the human-computer interaction interface of test object to run according to predetermined scheme, it is then determined that the reality output of test object
It is whether consistent with desired output.When reality output is consistent with desired output, it is determined that passing through test；When reality output and phase
When the output of prestige is inconsistent, it is determined that not passing through test.
For example, when testing the human-computer interaction interface of the industrial equipments such as Digit Control Machine Tool, driver, operator needs progress more
Secondary test, and need viewing man-machine interface is shown after each test is completed information or image, and with desired display
Information or image are compared, to determine whether to pass through test.Therefore, the efficiency of the test of man-machine interface is very low, and such
Manually compare to determine whether to be likely to occur mistake during by test.
The content of the invention
The purpose of exemplary embodiment is at least to solve above and/or other technical problems, and one kind is provided can be with
Improve testing efficiency and reduce or prevent test result from determining the test equipment and method of testing of mistake.
In one embodiment, a kind of test equipment can be provided, the test equipment includes：One image obtains dress
Put, be configured to obtain the image of man-machine interface；One image processing apparatus, it is configured to the figure obtained to image acquiring device
As being handled, to obtain the information related to testing；One result determining device, is configured to be obtained according to image processing apparatus
To the information related to test determine test result.Therefore, test result can be automatically determined, is surveyed so as to improve
Examination efficiency simultaneously reduces or prevented the mistake caused by manually determining test result.
Image acquiring device includes the camera for being used to shoot the photo of man-machine interface.Therefore, test equipment can have letter
Single structure.In addition, camera can be fixed relative to man-machine interface, so that the man-machine interface in photo is in fixed position
Put, with the further processing behind facilitating for photo.
Image processing apparatus includes：One area-of-interest determining unit, it is configured to determine to obtain in image acquiring device
Display and at least one area-of-interest of test relevant information in the image taken；One information identificating unit, is configured to
The information related to test is identified from least one area-of-interest respectively.It is thereby possible to select property in image
In be identified to obtain desired information.
Image processing apparatus also includes：One image segmentation unit, it is configured to the image for obtaining image acquiring device
It is divided at least one subgraph corresponding with least one area-of-interest respectively, wherein, subgraph includes image and obtained
The part in corresponding area-of-interest in the image that device obtains, wherein, information identificating unit respectively from it is described to
A few sub- image recognition goes out the information related to test.Therefore, image recognition only can be performed to subgraph, so as to change
The efficiency and accuracy of kind image recognition.
Image acquiring device is configured to the image before the test of man-machine interface is obtained before being tested, region of interest
Domain determining unit is configured to determine area-of-interest in image before testing, and obtains the figure of area-of-interest before testing
Positional information as in.Image acquiring device is also structured to obtain the figure after the test of man-machine interface after testing is complete
Picture, image segmentation unit are configured to positional information in area-of-interest image before testing by the image after test
It is divided into subgraph corresponding with area-of-interest.Therefore, can complete to obtain the positional information of area-of-interest before test,
And then after the test is ended using obtained positional information, so as to shorten the time needed for exact p-value result.
The information related to test is included in the information that man-machine interface is completed to be shown by man-machine interface during test.As a result
Determining device is configured to by the information related with test compared with the desired output of man-machine interface, when related to test
When information is consistent with the desired output of man-machine interface, as a result determining device is determined by test, when the information related to test and
During the desired output difference of man-machine interface, as a result determining device determines not passing through test.Therefore, can automatically determine whether to lead to
Cross test.
The test equipment also includes：One test control device, is configured to provide testing scheme to man-machine interface,
So that man-machine interface is run according to testing scheme so as to test man-machine interface, wherein, testing scheme includes man-machine interface
Desired output.
In another embodiment, a kind of method of testing can be provided, methods described includes：Obtain the figure of man-machine interface
Picture；The image of acquisition is handled, to obtain the information related to testing；According to the obtained information related to test come really
Location survey test result.Therefore, test result can be automatically determined, so as to improve testing efficiency and reduce or prevent because manually
Ground determines mistake caused by test result.
The step of image for obtaining man-machine interface, includes：Shoot the photo of man-machine interface.Therefore, can have test equipment
There is simple structure.In addition, the camera for shooting can be fixed relative to man-machine interface, so that the man-machine interface in photo
In fixed position, with the further processing behind facilitating for photo.
The step of obtaining the information related to test includes：It is determined that display and test relevant information in the image of acquisition
At least one area-of-interest；The information related to test is identified from least one area-of-interest respectively.Cause
This, optionally can be identified to obtain desired information in the picture.
The step of obtaining the information related to test also includes：By the image of acquisition be divided into respectively with least one sense
At least one subgraph corresponding to interest region, wherein, the region of interest corresponding in the image that subgraph includes obtaining
Part in domain；The step of identifying the information related to test includes：Respectively from least one subgraph identify with
Test related information.Therefore, image recognition only can be performed to subgraph, so as to improve the efficiency of image recognition and standard
True property.
The step of image for obtaining man-machine interface, includes：Figure before the test of man-machine interface is obtained before being tested
Picture, the step of determining at least one area-of-interest, include：Area-of-interest is determined in image before testing, and obtains feeling emerging
Positional information in the image of interesting region before testing.The step of image for obtaining man-machine interface, also includes：In test completion
The step of obtaining the image after the test of man-machine interface afterwards, being divided at least one subgraph includes：Surveyed according to area-of-interest
Image after test is divided into subgraph corresponding with area-of-interest by the positional information in image before examination.Therefore, Ke Yi
Complete to obtain the positional information of area-of-interest before test, and then after the test is ended using obtained positional information,
So as to shorten the time needed for exact p-value result.
The information related to test is included in the information that man-machine interface is completed to be shown by man-machine interface during test.It is determined that
The step of test result, includes：By the information related with test compared with the desired output of man-machine interface, when with testing phase
When the information of pass is consistent with the desired output of man-machine interface, it is determined that by test, when the information and man-machine interface related to test
Desired output difference when, it is determined that not passing through test.
Testing scheme is provided to man-machine interface, so that man-machine interface is run according to testing scheme so as to enter to man-machine interface
Row test, wherein, testing scheme includes the desired output of man-machine interface.
Brief description of the drawings
The following drawings is only intended to, in doing schematic illustration and explanation to the present invention, not delimit the scope of the invention, wherein,
Fig. 1 is the schematic diagram for showing the test equipment according to exemplary embodiment；
Fig. 2 is the test for the man-machine interface for showing the test object according to the acquisition of the image acquiring device of exemplary embodiment
Preceding image；
Fig. 3 is the test for the man-machine interface for showing the test object according to the acquisition of the image acquiring device of exemplary embodiment
Image afterwards；
Fig. 4 is the schematic block diagram for showing the image processing apparatus according to exemplary embodiment；
Fig. 5 is the flow chart for showing the method for testing according to exemplary embodiment.
Description of reference numerals：
110：Image acquiring device
130：Image processing apparatus
150：As a result determining device
170：Test control device
131：Area-of-interest determining unit
133：Information identificating unit
135：Image segmentation unit
Embodiment
In order to which technical characteristic, purpose and the effect of the present invention is more clearly understood, now control illustrates this hair
Bright embodiment.
Fig. 1 is the schematic diagram for showing the test equipment according to exemplary embodiment.
As shown in fig. 1, image acquiring device 110 can be included, at image according to the test equipment of exemplary embodiment
Manage device 130 and result determining device 150.
Image acquiring device 110 can obtain the image of test object.Here, test object can be the instrument of industrial equipment
Dial plate class man-machine interface.
In one embodiment, image acquiring device 110 can include being used to shoot the man-machine interface as test object
Photo camera, and could be arranged to separate with man-machine interface.For example, camera 110 could be arranged to be located at and man-machine interface
At relatively fixed position, so as to ensure that position of the man-machine interface in the photo that camera 110 is shot is relatively fixed.
Fig. 2 and Fig. 3 is shown according to the acquisition of the image acquiring device of exemplary embodiment as test object respectively
The image after image and test before the test of man-machine interface.As shown in Figures 2 and 3, the image of man-machine interface before testing
Position in (Fig. 2) can be with identical with the position in image (Fig. 3) after a test.
After image acquiring device 110 obtains the image of man-machine interface, image processing apparatus 130 can receive acquisition
Image, and the image of acquisition can be handled, to obtain the information related to testing.For example, image acquiring device 110
It can be communicated in a wired or wireless manner with image processing apparatus 130, the image of acquisition is sent to image processing apparatus
130.Image processing apparatus 130 can be the computing device for having image processing function, for example, desktop PC, on knee
Computer, tablet computer, smart phone, personal digital assistant etc.；Or image processing apparatus 130 can be included in meter
The processing unit in equipment is calculated, for example, CPU, image processor etc.；Or image processing apparatus 130 can pass through
The software of image processing function is realized to realize.
Fig. 4 is the schematic block diagram for showing the image processing apparatus according to exemplary embodiment.
As shown in Figure 4, image processing apparatus 130 can include area-of-interest determining unit 131 and information identification is single
Member 133.Area-of-interest determining unit 131 may be constructed such that the sense determined in the image that image acquiring device 110 obtains
Interest region.Here, area-of-interest can be the display in the image obtained and the part of test relevant information.With testing phase
The information of pass can be included in the information that man-machine interface is completed to be shown by man-machine interface during test, and this will hereinafter carry out more detailed
Carefully describe.
In one exemplary embodiment, area-of-interest determining unit 131 can be in the image (Fig. 2) before for example testing
Or area-of-interest is determined in the image (Fig. 3) after test.Area-of-interest can manually or automatically be determined.For example, sense is emerging
Interesting area determination unit 131 can determine area-of-interest according to the input of operator.In such an example, operator can
The image (Fig. 3) after image (Fig. 2) or test before being tested with viewing, so that it is determined that showing the letter related to test in image
The part of breath.The other input equipment that may then pass through mouse, keyboard, touch-screen, writing pencil etc. is manually being surveyed
Mark region interested in the image (Fig. 3) after image (Fig. 2) or test before examination.Or area-of-interest determining unit
131 can be according to condition set in advance (for example, the positional information of the information related to test pre-entered in the picture)
Automatically determine area-of-interest.
Three area-of-interests are respectively illustrated in figs. 2 and 3.I.e., in fig. 2, area-of-interest is respectively to show
The part of " blank " before 0.000,2.000 and rpm, in figure 3, area-of-interest be respectively show 0.120,
410 part before 0.040 and rpm, wherein, by man-machine interface show 0.000,2.000, " blank ", 0.120,
0.040 and 410 can be the information related to test.However, embodiment not limited to this, can manually or automatically pass through
Area-of-interest determining unit 131 determines at least one area-of-interest.
Information identificating unit 133 can identify the information related to test from area-of-interest respectively.For example, information
Recognition unit 133 can be identified according to the image recognition algorithm of K-means algorithms etc., to be identified from image
The information of letter, numeral and color etc..For example, information identificating unit 133 is respectively from three area-of-interests in Fig. 2
Identify 0.000,2.000 and " blank " as the information related to test.Here, 0.000 and 2.000 can be respectively X
The value of coordinate and Z coordinate, " blank " can represent that revolutions per minute is 0.For example, information identificating unit 133 is respectively from Fig. 3
0.120,0.040 and 410 are identified in three area-of-interests as the information related to test.Here, 0.120,0.040
Can be respectively X-coordinate and the value of Z coordinate, 410 can represent that revolutions per minute is 410rpm.
In embodiment described above, information identificating unit 133 can directly in the image of acquisition by interested
The area-of-interest that area determination unit 131 determines is identified, to obtain the information related to testing.However, exemplary reality
A not limited to this is applied, in another embodiment, image processing apparatus 130 can also include image segmentation unit 135, such as Fig. 4
Shown in.Image segmentation unit 135 image that image acquiring device 130 obtains can be divided into respectively with it is true by area-of-interest
At least one subgraph corresponding to the area-of-interest that order member 131 determines.In other words, image segmentation unit 135 can root
The image that image acquiring device 130 obtains is divided into one according to by the area-of-interest that area-of-interest determining unit 131 determines
Or multiple subgraphs.Each subgraph can include interested corresponding in the image that image acquiring device 130 obtains
Part in region.In the ongoing illustrated embodiment, when the image of acquisition is divided into one or more subgraphs by image segmentation unit 135
During picture, information identificating unit 133 can identify the information related to test from subgraph respectively.
In one exemplary embodiment, the area-of-interest determining unit 131 of image processing apparatus 130 can be according to survey
Image (Fig. 2) before examination determines area-of-interest, and by the information related to the area-of-interest of determination (for example, region of interest
Positional information in the image of domain before testing) it is stored in memory (not shown).Then, when the test is finished, at image
The information identificating unit 133 of reason device 130 can be obtained and surveyed from the image (Fig. 3) after test according to such positional information
Try related information.For example, because position of the man-machine interface in the photo that camera 110 is shot can be relatively fixed, figure
The position letter in the image (Fig. 2) of area-of-interest before testing of storage in memory can be read as cutting unit 135
Breath, and the image (Fig. 3) after test can be divided into by subgraph corresponding with area-of-interest according to the positional information of reading, so
Subgraph can be identified for information identificating unit 133 afterwards, to obtain the information related to testing.
Referring back to Fig. 1, when having obtained the information related to test, as a result determining device 150 can according to test
Related information determines test result.As a result determining device 150 can integrate or by same with image processing apparatus 130
One there is the computing device of processing function or processing unit to realize, or result determining device 150 can be and image procossing
The device 130 separated computing device or processing unit individually with processing function.In another embodiment, dress is as a result determined
Putting 150 can be realized by the software of execution corresponding function.For example, result determining device 150 can be by the letter related to test
Breath is compared with the desired output of man-machine interface.When the information related to test is consistent with the desired output of man-machine interface,
As a result determining device 150 can determine that man-machine interface passes through test.When the expectation of the information and man-machine interface related to test is defeated
When going out different, as a result determining device 150 determines that man-machine interface does not pass through test.
Generally, the desired output of man-machine interface can be that user is tested man-machine interface and it is expected that man-machine interface should carry
The output of confession.The desired output of man-machine interface can be included in by user's testing scheme set in advance.In addition, testing scheme
It can also include making man-machine interface carry out specific run to realize the various parameters of test purpose, instruction, order etc..Man-machine interface
It can be run to test man-machine interface according to testing scheme, can also be included according to the test equipment of exemplary embodiment
Test control device 170, as shown in fig. 1.Test control device 170 can provide user's testing scheme set in advance
Man-machine interface, so that man-machine interface is run according to testing scheme so as to test man-machine interface.Here, filled with image procossing
Put 130 and result determining device 150 it is similar, test control device 170 can be by single or integrated computing device or processing
Unit is realized, or can be realized by software.
According to exemplary embodiment, man-machine interface can be controlled according to specific testing scheme by above-mentioned test equipment
Tested, and can automatically determine whether man-machine interface passes through test.Therefore, testing efficiency can be greatly enhanced, and
Prevent or reduce by mistake caused by manually determined test result.Furthermore, it is possible to area-of-interest is predefined, for example, can
The positional information of area-of-interest is determined and stored with the image before the test according to man-machine interface, and can be follow-up one
The positional information of the area-of-interest of determination is applied to the image after test after secondary or multiple test, so as to more effective
Carry out to rate image recognition and it is thus determined that whether test result passes through.Therefore, it can shorten what for example multiple test was spent
Time.
Fig. 5 is the flow chart for showing the method for testing according to exemplary embodiment.As shown in Figure 5, can in step S510
To obtain the image of man-machine interface.For example, the photo of the man-machine interface as man-machine interface can be shot, such as institute in Fig. 2 and Fig. 3
Show.Here, the method for testing according to exemplary embodiment shown in Fig. 5 can be by the test that is described according to above embodiment
Equipment is performed for example, therefore, can hereinafter will not by the photo of image acquiring device (for example, camera) shooting man-machine interface
The description of repeatability is carried out to same or analogous feature again.
Then, in step S530, the image that can be obtained is handled, to obtain the information related to testing.For example,
The display in the image of acquisition and at least one area-of-interest of test relevant information can be determined, and can be respectively from institute
State and the information related to test is identified at least one area-of-interest.In one embodiment, can be by the image of acquisition
It is divided at least one subgraph corresponding with least one area-of-interest respectively, then can knows respectively from individual subgraph
Do not go out the information related to test.
In another embodiment, can first before being tested obtain man-machine interface test before image, so as to
Determine area-of-interest before testing in image that can be, and obtain the letter of the position in the image of area-of-interest before testing
Breath.Such positional information can be stored.
Here, although being not shown in Figure 5, control can also be included according to the method for testing of further embodiment
Man-machine interface is tested.For example, user's testing scheme set in advance can be provided to man-machine interface, so that man-machine interface
Run according to testing scheme, so as to test man-machine interface.When testing is complete, after the test that man-machine interface can be obtained
Image, and can according to the positional information in the image of area-of-interest before testing by the image after test be divided into feel it is emerging
Subgraph corresponding to interesting region.Then the information related to test can be gone out from individual sub- image recognition respectively.
When the information related to test is determined, can be determined to survey according to the information related to test in step S550
Test result.For example, can be by the information related with test compared with the desired output of man-machine interface, when related to test
When information is consistent with the desired output of man-machine interface, it may be determined that by test, when the information and man-machine interface related to test
Desired output difference when, it may be determined that do not pass through test.
According to exemplary embodiment, man-machine interface can be controlled according to specific testing scheme by above-mentioned method of testing
Tested, and can automatically determine whether man-machine interface passes through test.Therefore, testing efficiency can be greatly enhanced, and
Prevent or reduce by mistake caused by manually determined test result.Furthermore, it is possible to area-of-interest is predefined, for example, can
Determine and store the positional information of area-of-interest with the image before the test according to test object (man-machine interface), and can be with
Image after the positional information of the area-of-interest of determination is applied into test after follow-up one or many tests, so as to
Image recognition can efficiently be carried out and it is thus determined that whether test result passes through.Therefore, for example multiple survey can be shortened
Examination the spent time.
It should be appreciated that although this specification is described according to each embodiment, not each embodiment only includes one
Individual independent technical scheme, this narrating mode of specification is only that those skilled in the art will should say for clarity
Bright book is as an entirety, and the technical solutions in the various embodiments may also be suitably combined, and forming those skilled in the art can be with
The other embodiment of understanding.
The schematical embodiment of the present invention is the foregoing is only, is not limited to the scope of the present invention.It is any
Those skilled in the art, equivalent variations, modification and the combination made on the premise of the design of the present invention and principle is not departed from,
The scope of protection of the invention all should be belonged to.
Claims (18)
1. test equipment, it is characterised in that the test equipment includes：
One image acquiring device (110), it is configured to obtain the image of man-machine interface；
One image processing apparatus (130), it is configured to handle the image that image acquiring device obtains, to obtain and survey
Try related information；
One result determining device (150), the information related to test for being configured to be obtained according to image processing apparatus is come really
Location survey test result.
2. test equipment as claimed in claim 1, it is characterised in that image acquiring device includes being used to shoot man-machine interface
The camera of photo.
3. test equipment as claimed in claim 1, it is characterised in that image processing apparatus includes：
One area-of-interest determining unit (131), it is configured to determine the display in the image that image acquiring device obtains
At least one area-of-interest with testing relevant information；
One information identificating unit (133), it is configured to identify and test from least one area-of-interest respectively
Related information.
4. test equipment as claimed in claim 3, it is characterised in that image processing apparatus also includes：
One image segmentation unit (135), be configured to by image acquiring device obtain image be divided into respectively with it is described at least
At least one subgraph corresponding to one area-of-interest, wherein, subgraph is included in the image that image acquiring device obtains
Part in corresponding area-of-interest,
Wherein, information identificating unit identifies the information related to test from least one subgraph respectively.
5. test equipment as claimed in claim 4, it is characterised in that image acquiring device is configured to before being tested
The image before the test of man-machine interface is obtained, area-of-interest determining unit is configured to determine that sense is emerging in image before testing
Interesting region, and obtain the positional information in the image of area-of-interest before testing.
6. test equipment as claimed in claim 5, it is characterised in that image acquiring device is also structured in test completion
The image after the test of man-machine interface is obtained afterwards, and image segmentation unit is configured to the image according to area-of-interest before testing
In positional information the image after test is divided into subgraph corresponding with area-of-interest.
7. test equipment as claimed in claim 1, it is characterised in that the information related to test is included in man-machine interface
Complete the information shown during test by man-machine interface.
8. test equipment as claimed in claim 1, it is characterised in that result determining device is configured to will be related to test
Information is compared with the desired output of man-machine interface, when the information related to test is consistent with the desired output of man-machine interface
When, as a result by testing, when the desired output difference of the information and man-machine interface related to test, as a result determining device determines
Determining device determines not passing through test.
9. test equipment as claimed in claim 1, it is characterised in that the test equipment also includes：
One test control device (170), is configured to provide testing scheme to man-machine interface, so that man-machine interface is according to survey
Examination scheme is run so as to test man-machine interface, wherein, testing scheme includes the desired output of man-machine interface.
10. method of testing, it is characterised in that methods described includes：
Obtain the image of man-machine interface；
The image of acquisition is handled, to obtain the information related to testing；
Test result is determined according to the obtained information related to test.
11. method as claimed in claim 10, it is characterised in that include the step of the image for obtaining man-machine interface：Shoot people
The photo at machine interface.
12. method as claimed in claim 10, it is characterised in that the step of obtaining the information related to test includes：
It is determined that display and at least one area-of-interest of test relevant information in the image of acquisition；
The information related to test is identified from least one area-of-interest respectively.
13. method as claimed in claim 12, it is characterised in that the step of obtaining the information related to test also includes：Will
The image of acquisition is divided at least one subgraph corresponding with least one area-of-interest respectively, wherein, sub-picture pack
Include the part in corresponding area-of-interest in the image of acquisition；
The step of identifying the information related to test includes：Identified respectively from least one subgraph related to test
Information.
14. method as claimed in claim 13, it is characterised in that
The step of image for obtaining man-machine interface, includes：Image before the test of man-machine interface is obtained before being tested,
The step of determining at least one area-of-interest includes：Area-of-interest is determined in image before testing, and is felt
Positional information in the image of interest region before testing.
15. method as claimed in claim 14, it is characterised in that
The step of image for obtaining man-machine interface, also includes：The image after the test of man-machine interface is obtained after testing is complete,
The step of being divided at least one subgraph includes：Positional information in the image of area-of-interest before testing will be surveyed
Image after examination is divided into subgraph corresponding with area-of-interest.
16. method as claimed in claim 10, it is characterised in that it is complete that the information related to test is included in man-machine interface
Into the information shown during test by man-machine interface.
17. method as claimed in claim 10, it is characterised in that the step of determining test result includes：Will be related to test
Information compared with the desired output of man-machine interface, when the information related to test is consistent with the desired output of man-machine interface
When, it is determined that by test, when the desired output difference of the information and man-machine interface related to test, it is determined that not passing through test.
18. method as claimed in claim 10, it is characterised in that methods described also includes：
Testing scheme is provided to man-machine interface, so that man-machine interface is run according to testing scheme so as to be surveyed to man-machine interface
Examination, wherein, testing scheme includes the desired output of man-machine interface.
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| CN201610875978.1A CN107885180B (en) | 2016-09-30 | 2016-09-30 | Test apparatus and test method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111782552A (en) * | 2020-08-07 | 2020-10-16 | 广州极点三维信息科技有限公司 | Automatic testing method and device based on region division |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103631246A (en) * | 2012-08-20 | 2014-03-12 | 珠海格力电器股份有限公司 | Test method, test device, test tool and test system of electronic device |
| CN103955678A (en) * | 2014-05-13 | 2014-07-30 | 深圳市同洲电子股份有限公司 | Image recognition method and device |
| CN104598702A (en) * | 2013-10-31 | 2015-05-06 | 鸿富锦精密工业（深圳）有限公司 | Method and system for generating test report |
| CN104793068A (en) * | 2014-01-22 | 2015-07-22 | 佛山市顺德区顺达电脑厂有限公司 | Image acquisition-based automatic test method |
| CN105389809A (en) * | 2015-10-26 | 2016-03-09 | 广州视源电子科技股份有限公司 | Display performance testing method, system and device |
-
2016
- 2016-09-30 CN CN201610875978.1A patent/CN107885180B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103631246A (en) * | 2012-08-20 | 2014-03-12 | 珠海格力电器股份有限公司 | Test method, test device, test tool and test system of electronic device |
| CN104598702A (en) * | 2013-10-31 | 2015-05-06 | 鸿富锦精密工业（深圳）有限公司 | Method and system for generating test report |
| CN104793068A (en) * | 2014-01-22 | 2015-07-22 | 佛山市顺德区顺达电脑厂有限公司 | Image acquisition-based automatic test method |
| CN103955678A (en) * | 2014-05-13 | 2014-07-30 | 深圳市同洲电子股份有限公司 | Image recognition method and device |
| CN105389809A (en) * | 2015-10-26 | 2016-03-09 | 广州视源电子科技股份有限公司 | Display performance testing method, system and device |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111782552A (en) * | 2020-08-07 | 2020-10-16 | 广州极点三维信息科技有限公司 | Automatic testing method and device based on region division |
| CN111782552B (en) * | 2020-08-07 | 2021-05-18 | 广州极点三维信息科技有限公司 | Automatic testing method and device based on region division |
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