CN108366253A - The test method and intelligent object of camera function - Google Patents
The test method and intelligent object of camera function Download PDFInfo
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- CN108366253A CN108366253A CN201810025548.XA CN201810025548A CN108366253A CN 108366253 A CN108366253 A CN 108366253A CN 201810025548 A CN201810025548 A CN 201810025548A CN 108366253 A CN108366253 A CN 108366253A
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- 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
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Abstract
The invention discloses a kind of test method of camera function and intelligent object, method includes：The camera module of the camera pin of intelligent object to be measured and test fixture is connected；Intelligent object to be measured obtains random string, and the random string is converted to identification code；The picture of the identification code is placed in the front of the camera module；Intelligent object to be measured controls the camera module and takes pictures to the identification code, obtains identification code photo；Intelligent object to be measured is decoded the identification code photo, if successfully decoded and decoding result is consistent with the random string, judges that the camera function of the intelligent object to be measured is normal.The present invention can effectively improve testing efficiency and test accuracy rate.
Description
Technical field
The present invention relates to the test methods and intelligent mould of Camera Test technical field more particularly to a kind of camera function
Block.
Background technology
The application of intelligent object is more and more extensive at present, such as smart home, security protection, intelligent POS machine.Current many intelligence
Can module all carry camera function, can be used for living take pictures, barcode scanning, monitoring etc..Camera function is directly used by user,
Function is normal, and effect of taking pictures directly affects the user experience of product.Therefore it is imaged in intelligent object production process
Camera function is tested, and ensures camera steady operation.
The main test mode of the camera function of intelligent object has at present：
1, in process of production carry out camera function test when, mainly manually by see camera preview interface and
Camera function judges whether camera function is normal.In the case of manpower intervention, it is possible to judge by accident, for example function is different
Chang Shi, overdue people is PASS；Testing efficiency is relatively low.
2, camera takes pictures and send photo to computer, and the photo in computer examines module to test photo,
Judge whether photo is qualified.This scheme is judged that testing efficiency relative plan 1 increases by computer generation for people.But
This scheme is it sometimes appear that image data is normal, but image abnormity, photo examine module to be possible to be judged as camera function
Normally, that is, there is erroneous judgement may.This test system structure is relative complex, is related to multiple function modules.
Invention content
The technical problem to be solved by the present invention is to：A kind of test method and intelligent object of camera function are provided, it can
Improve testing efficiency and test accuracy.
In order to solve the above-mentioned technical problem, the technical solution adopted by the present invention is：A kind of test method of camera function,
Including：
The camera module of the camera pin of intelligent object to be measured and test fixture is connected；
Intelligent object to be measured obtains random string, and the random string is converted to identification code；
The picture of the identification code is placed in the front of the camera module；
Intelligent object to be measured controls the camera module and takes pictures to the identification code, obtains identification code photo；
Intelligent object to be measured is decoded the identification code photo, if successfully decoded and decoding result and the random words
Symbol string is consistent, then judges that the camera function of the intelligent object to be measured is normal.
The invention further relates to a kind of intelligent object, including processor and memory, the camera pins of the intelligent object
It is connect with the camera module of test fixture；The memory has program stored therein, and is configured to be executed by the processor
Following steps：
Random string is obtained, and the random string is converted into identification code；
It controls the camera module to take pictures to the picture for being placed on the identification code in front of it, obtains identification code
Photo；
The identification code photo is decoded, if successfully decoded and decoding result is consistent with the random string,
Judge that the camera function of the intelligent object to be measured is normal.
The beneficial effects of the present invention are：By the way that the character string obtained at random is converted to identification code, then control is external
Camera taken pictures to identification code and obtain photo, verification then is identified to the identification code in photo, to intelligence
The camera function of energy module is tested.The present invention can effectively improve testing efficiency and test accuracy rate.
Description of the drawings
Fig. 1 is a kind of flow chart of the test method of camera function of the present invention；
Fig. 2 is the method flow diagram of the embodiment of the present invention one；
Fig. 3 is the method flow diagram of the embodiment of the present invention two；
Fig. 4 is the connection diagram of test fixture and intelligent object to be measured in the embodiment of the present invention three.
Specific implementation mode
To explain the technical content, the achieved purpose and the effect of the present invention in detail, below in conjunction with embodiment and coordinate attached
Figure is explained in detail.
The design of most critical of the present invention is：The processor carried using intelligent object controls external camera to identification code
Picture and reference picture are taken pictures, and then carry out analysis detection to photo, to realize the detection of camera function.
Referring to Fig. 1, a kind of test method of camera function, including：
The camera module of the camera pin of intelligent object to be measured and test fixture is connected；
Intelligent object to be measured obtains random string, and the random string is converted to identification code；
The picture of the identification code is placed in the front of the camera module；
Intelligent object to be measured controls the camera module and takes pictures to the identification code, obtains identification code photo；
Intelligent object to be measured is decoded the identification code photo, if successfully decoded and decoding result and the random words
Symbol string is consistent, then judges that the camera function of the intelligent object to be measured is normal.
As can be seen from the above description, the beneficial effects of the present invention are：Testing efficiency and test accuracy rate can be effectively improved.
Further, further include：
Reference picture is placed in the front of the camera module, the reference picture is opposite with the camera module
Position immobilizes；
The camera module of the camera pin of the normal intelligent object of camera function and test fixture is connected, and is controlled
It makes the camera module to take pictures to the reference picture, obtains referring to photo；
It is preserved described to intelligent object to be measured with reference to photo；
The camera module of the camera pin of the intelligent object to be measured and test fixture is connected, and is taken the photograph described in control
As head mould group takes pictures to the reference picture, comparison photo is obtained；
By the comparison photo and the carry out similarity comparison with reference to photo, and according to similarity comparison as a result, obtaining
Test result is resurveyed to second.
Further, described " by the comparison photo and the carry out similarity comparison with reference to photo, and according to similar
Comparing result is spent, second is obtained and resurveys test result " be specially
The comparison photo is subjected to binary conversion treatment with described with reference to photo respectively；
Statistics obtains the number of the comparison photo pixel different from the reference photo intermediate value after binaryzation after binaryzation；
If the number of the different pixel of described value is less than preset threshold value, judgement second, which is resurveyed, to be pinged.
Seen from the above description, by carrying out similarity comparison again after looking for first progress binaryzation, versus speed is improved.
Further, described " if successfully decoded and decoding result is consistent with the random string, to judge described to be measured
The camera function of intelligent object is normal " be specially：
If successfully decoded and decoding result is consistent with the random string, judgement first, which is resurveyed, to be pinged；
If first resurveys and pinged and second resurveys and pinged, the camera function of the intelligent object to be measured is being judged just
Often.
Seen from the above description, by carrying out dual test, test accuracy is further improved.
Further, described " to place reference picture in the front of the camera module, the reference picture is taken the photograph with described
As the relative position of head mould group immobilizes " be specially：
In the front placement display of the camera module, the display is for showing reference picture, the display
Device and the relative position of the camera module immobilize.
Seen from the above description, it by showing reference picture with display, can be shown by control display different
Reference picture, while controlling camera and repeatedly being taken pictures, multiple image comparison is carried out, judgment accuracy is further increased.
The invention also provides a kind of intelligent object, including processor and memory, the camera of the intelligent object draws
The camera module of foot and test fixture connects；The memory has program stored therein, and is configured to be held by the processor
Row following steps：
Random string is obtained, and the random string is converted into identification code；
It controls the camera module to take pictures to the picture for being placed on the identification code in front of it, obtains identification code
Photo；
The identification code photo is decoded, if successfully decoded and decoding result is consistent with the random string,
Judge that the camera function of the intelligent object to be measured is normal.
Further, reference picture, the reference picture and the camera are placed in front of the camera module
The relative position of module immobilizes；Described program also executes following steps：
The camera function normal intelligent object control camera module is obtained to clap the reference picture
It takes obtained with reference to picture；
It controls the camera module to take pictures to reference picture, obtains comparison photo；
By the comparison photo and the carry out similarity comparison with reference to photo, and according to similarity comparison as a result, obtaining
Test result is resurveyed to second.
Further, described " by the comparison photo and the carry out similarity comparison with reference to photo, and according to similar
Comparing result is spent, second is obtained and resurveys test result " be specially
The comparison photo is subjected to binary conversion treatment with described with reference to photo respectively；
Statistics obtains the number of the comparison photo pixel different from the reference photo intermediate value after binaryzation after binaryzation；
If the number of the different pixel of described value is less than preset threshold value, judgement second, which is resurveyed, to be pinged.
Further, described " if successfully decoded and decoding result is consistent with the random string, to judge described to be measured
The camera function of intelligent object is normal " be specially：
If successfully decoded and decoding result is consistent with the random string, judgement first, which is resurveyed, to be pinged；
If first resurveys and pinged and second resurveys and pinged, the camera function of the intelligent object to be measured is being judged just
Often.
Further, described " reference picture to be placed in front of the camera module, the reference picture is taken the photograph with described
As the relative position of head mould group immobilizes " be specially：
Display is placed in front of the camera module, the display is for showing reference picture, the display
Device and the relative position of the camera module immobilize.
Embodiment one
Fig. 2 is please referred to, the embodiment of the present invention one is：A kind of test method of camera function, includes the following steps：
S101：The camera module of the camera pin of intelligent object to be measured and test fixture is connected；I.e. by intelligence to be measured
Energy module is put into test fixture, and the camera module of the camera pin of intelligent object to be measured and test fixture is connected.
That is the test of camera function, is exactly actually whether the camera pin for testing intelligent object has damage, if there is damage,
Then the camera function of test fixture has exception.The camera pin includes controlling switch (PWDN, MCLK etc.) and data
Pin (MIPI).
S102：Intelligent object to be measured obtains random string, and the random string is converted to identification code；The knowledge
Other code is one-dimension code or Quick Response Code；
S103：The picture of the identification code is placed in the front of the camera module；For example, identification code can be printed
Out, the specific position being then placed in front of the camera module of test fixture, the position need to ensure that camera can be clapped
To complete identification code and make identification code sufficiently large and clear.Preferably, it can place and show in the front of camera module
Device allows display to show the picture of identification code, and the relative position of display and camera module immobilizes, and ensures camera shooting
Head can photograph complete identification code and make identification code sufficiently large and clear.
S104：Intelligent object to be measured controls the camera module and takes pictures to the identification code, obtains identification code photograph
Piece；Specifically, the processor of intelligent object to be measured controls the camera of test fixture by the controlling switch in camera pin
It takes pictures, identification code photo is returned to the processing of intelligent object to be measured by the data pin in camera pin by camera
Device.
S105：Intelligent object to be measured is decoded the identification code photo, judges whether successfully decoded, if so, holding
Row step S106, if it is not, thening follow the steps S108.
S106：Judge whether decoding result is consistent with the random string, that is, judges to the identification in identification code photo
Whether decoded result is identified in code consistent with the random string that is obtained in step S102, if so, thening follow the steps
S107, if it is not, thening follow the steps S108.
S107：Judge that the camera function of the intelligent object to be measured is normal.
S108：Judge that the camera function of the intelligent object to be measured is abnormal.
Then the present embodiment controls external camera to identification by the way that the character string obtained at random is converted to identification code
Code is taken pictures and obtains photo, and verification then is identified to the identification code in photo, to the camera to intelligent object
Function is tested, and can effectively improve testing efficiency and test accuracy rate.
Embodiment two
Fig. 3 is please referred to, the present embodiment is the further expansion of embodiment one, and something in common is not repeated, and difference lies in also
Include the following steps：
S201：Reference picture, the reference picture and the camera module are placed in the front of the camera module
Relative position immobilize；Preferably, display can be allowed to show reference in the front placement display of camera module
The relative position of picture, display and camera module immobilizes, and ensures that camera can photograph complete reference picture
And make reference picture sufficiently large and clear.
S202：The camera module of the camera pin of the normal intelligent object of camera function and test fixture is connected
It connects, and controls the camera module and take pictures to the reference picture, obtain referring to photo；
S203：It is preserved described to intelligent object to be measured with reference to photo；Intelligent object to be measured is allowed to get the reference
Photo.
S204：The camera module of the camera pin of the intelligent object to be measured and test fixture is connected, and is controlled
The camera module takes pictures to the reference picture, obtains comparison photo；Specifically, the processor of intelligent object to be measured
The camera that test fixture is controlled by the controlling switch in camera pin is taken pictures, and camera passes through in camera pin
Data pin be returned to the processor of intelligent object to be measured by photo is compared.
S205：The comparison photo is subjected to binary conversion treatment with described with reference to photo respectively；
S206：Statistics obtains the comparison photo pixel different from the reference photo intermediate value after binaryzation after binaryzation
Number；The value of comparison photo and the pixel of same position in the reference photo after binaryzation after binaryzation is compared
Compared with, if value is different, the number for being worth different pixels adds one, and so on, whole pixels is traversed, two-value is finally obtained
The number for the two different pixels of photo intermediate value changed.
S207：Judge whether the number of the different pixel of described value is less than preset threshold value, if so, thening follow the steps
S208, if it is not, thening follow the steps S209.
S208：Judgement second, which is resurveyed, to be pinged.
S209：Judgement second is resurveyed examination and is not passed through.
Further, the step S107 in embodiment one is sentenced if decoding result is consistent with the random string
Fixed first resurveys and pinged；Only when first resurvey examination and second resurvey examination pass through, just judge the intelligent object to be measured
Camera function is normal.
The present embodiment is on the basis of embodiment one, also by obtaining the normal intelligent object of camera function to reference chart
Piece take pictures it is obtained refer to photo, then intelligent object to be measured is put into test fixture, also controls external camera shooting
Head takes pictures to reference picture, obtains comparison photo, then will compare photo and carry out similarity comparison with reference to photo, to
Further the camera function of intelligent object is tested.By carrying out dual test, it is accurate to further improve test
Property.
Embodiment three
The present embodiment is a concrete application scene of above-described embodiment.
As shown in figure 4, test fixture includes a normally functioning camera module.When intelligent object to be measured is put into tooling
After compress, the camera controlling switch and data pin of intelligent object to be measured can be connected with the camera module of test fixture.
Test fixture further includes tooling power supply, and stabilized power source is provided for intelligent object, keeps intelligent object normally-open and works.
Intelligent object carries camera module controlling switch (PWDN, MCLK etc.) and data pin (MIPI), but without taking the photograph
As head mould group.When carrying out the test of intelligent object camera function, the camera module for being external to test fixture is needed to be surveyed
Examination.Therefore it all shoots to obtain by test fixture camera with reference to photo and comparison photo, practical is all by intelligent object control
Tooling camera shooting processed.The test of intelligent object camera function is exactly actually to test intelligent object camera control herein
Whether pin (PWDN, MCLK etc.) processed and data pin (MIPI) have damage, if there is damage, test fixture camera function meeting
There is exception.
Intelligent object to be measured has AP (Application Processor, application processor), can be controlled with runs software
The camera module of test fixture is taken pictures, and obtains photo, and handle photo.
For identification code testing scheme, first arbitrarily one section of character str of selection is converted to one-dimension code or Quick Response Code, and beat
It is printed as photo.One-dimension code or Quick Response Code photo are fixed on the specific position in front of the camera of test fixture.The position needs
Ensure that camera can photograph complete one-dimension code or Quick Response Code and code is sufficiently large and clear (being easy to decode).Intelligent object to be measured
AP control camera take pictures, and using AP carry decoding algorithm in photo one-dimension code or Quick Response Code be decoded.If
It can not decode, then it represents that camera is abnormal, can not take pictures.If can normally decode, barcode scanning result character and selection are compared
Whether consistent character str compares two characters.If consistent, prove that the camera function of intelligent object to be measured is normal.If differing
It causes, then the camera function of intelligent object to be measured is abnormal.
For photo comparison's testing scheme, first, one is placed in the camera module front specific location of test fixture
The relative position of reference picture, reference picture and camera module immobilizes.Camera function is put into test fixture just
Normal intelligent object takes pictures and obtains photo, and is integrated into new intelligent object firmware using the photo as with reference to photo.This is solid
Part includes camera module driving, with reference to photo and image comparison algorithm.Firmware download is carried out to each intelligent object to be measured.It will consolidate
Part downloads the intelligent object to be measured completed and is put into test fixture, is switched on.AP testing results softwares in intelligent object to be measured, pass through
Controlling switch control camera module group takes pictures to reference picture.AP obtains comparison photo by data pin MIPI, will
Comparison photo is carried out with reference to photo through image comparison algorithm progress similarity comparison.If the enough height of similarity, then it represents that be same
One photo, camera function are normal；On the contrary, then camera function is abnormal.
Example IV
The present embodiment is a kind of intelligent object of corresponding above-described embodiment, including processor and memory, the intelligence mould
The camera pin of block and the camera module of test fixture connect；The memory has program stored therein, and be configured to by
The processor executes following steps：
Random string is obtained, and the random string is converted into identification code；
It controls the camera module to take pictures to the picture for being placed on the identification code in front of it, obtains identification code
Photo；
The identification code photo is decoded, if successfully decoded and decoding result is consistent with the random string,
Judge that the camera function of the intelligent object to be measured is normal.
Further, reference picture, the reference picture and the camera are placed in front of the camera module
The relative position of module immobilizes；Described program also executes following steps：
The camera function normal intelligent object control camera module is obtained to clap the reference picture
It takes obtained with reference to picture；
It controls the camera module to take pictures to reference picture, obtains comparison photo；
By the comparison photo and the carry out similarity comparison with reference to photo, and according to similarity comparison as a result, obtaining
Test result is resurveyed to second.
Further, described " by the comparison photo and the carry out similarity comparison with reference to photo, and according to similar
Comparing result is spent, second is obtained and resurveys test result " be specially：
The comparison photo is subjected to binary conversion treatment with described with reference to photo respectively；
Statistics obtains the number of the comparison photo pixel different from the reference photo intermediate value after binaryzation after binaryzation；
If the number of the different pixel of described value is less than preset threshold value, judgement second, which is resurveyed, to be pinged.
Further, described " if successfully decoded and decoding result is consistent with the random string, to judge described to be measured
The camera function of intelligent object is normal " be specially：
If successfully decoded and decoding result is consistent with the random string, judgement first, which is resurveyed, to be pinged；
If first resurveys and pinged and second resurveys and pinged, the camera function of the intelligent object to be measured is being judged just
Often.
Further, described " reference picture to be placed in front of the camera module, the reference picture is taken the photograph with described
As the relative position of head mould group immobilizes " be specially：
Display is placed in front of the camera module, the display is for showing reference picture, the display
Device and the relative position of the camera module immobilize.
In conclusion the test method and intelligent object of a kind of camera function provided by the invention, by that will obtain at random
The character string taken is converted to identification code, then controls external camera and is taken pictures to identification code and obtain photo, then right
Verification is identified in identification code in photo, to test the camera function of intelligent object, and can effectively improve survey
Try efficiency and test accuracy rate.Obtained by also being taken pictures to reference picture by the acquisition normal intelligent object of camera function
Reference photo, then intelligent object to be measured is put into test fixture, external camera is also controlled and reference picture is carried out
It takes pictures, obtains comparison photo, then will compare photo and carry out similarity comparison with reference to photo, to further to intelligent mould
The camera function of block is tested.By carrying out dual test, test accuracy is further improved.
Example the above is only the implementation of the present invention is not intended to limit the scope of the invention, every to utilize this hair
Equivalents made by bright specification and accompanying drawing content are applied directly or indirectly in relevant technical field, include similarly
In the scope of patent protection of the present invention.
Claims (10)
1. a kind of test method of camera function, which is characterized in that including：
The camera module of the camera pin of intelligent object to be measured and test fixture is connected；
Intelligent object to be measured obtains random string, and the random string is converted to identification code；
The picture of the identification code is placed in the front of the camera module；
Intelligent object to be measured controls the camera module and takes pictures to the identification code, obtains identification code photo；
Intelligent object to be measured is decoded the identification code photo, if successfully decoded and decoding result and the random string
Unanimously, then judge that the camera function of the intelligent object to be measured is normal.
2. the test method of camera function according to claim 1, which is characterized in that further include：
Reference picture, the relative position of the reference picture and the camera module are placed in the front of the camera module
It immobilizes；
The camera module of the camera pin of the normal intelligent object of camera function and test fixture is connected, and controls institute
It states camera module to take pictures to the reference picture, obtains referring to photo；
It is preserved described to intelligent object to be measured with reference to photo；
The camera module of the camera pin of the intelligent object to be measured and test fixture is connected, and controls the camera
Module takes pictures to the reference picture, obtains comparison photo；
By the comparison photo and the carry out similarity comparison with reference to photo, and according to similarity comparison as a result, obtaining
Double test result.
3. the test method of camera function according to claim 2, which is characterized in that described " by the comparison photo
With the carry out similarity comparison with reference to photo, and according to similarity comparison as a result, obtaining second resurveys test result " be specially
The comparison photo is subjected to binary conversion treatment with described with reference to photo respectively；
Statistics obtains the number of the comparison photo pixel different from the reference photo intermediate value after binaryzation after binaryzation；
If the number of the different pixel of described value is less than preset threshold value, judgement second, which is resurveyed, to be pinged.
4. the test method of camera function according to claim 2, which is characterized in that described " if successfully decoded and solution
Code result is consistent with the random string, then judges that the camera function of the intelligent object to be measured is normal " be specially：
If successfully decoded and decoding result is consistent with the random string, judgement first, which is resurveyed, to be pinged；
If first resurveys and pinged and second resurveys and pinged, judge that the camera function of the intelligent object to be measured is normal.
5. the test method of camera function according to claim 2, which is characterized in that described " in the camera shooting head mould
Reference picture is placed in the front of group, and the relative position of the reference picture and the camera module immobilizes " be specially：
In the front placement display of the camera module, the display for showing reference picture, the display with
The relative position of the camera module immobilizes.
6. a kind of intelligent object, including processor and memory, which is characterized in that the camera pin of the intelligent object and survey
The camera module connection of trial work dress；The memory has program stored therein, and is configured to be executed by the processor following
Step：
Random string is obtained, and the random string is converted into identification code；
It controls the camera module to take pictures to the picture for being placed on the identification code in front of it, obtains identification code photograph
Piece；
The identification code photo is decoded, if successfully decoded and decoding result is consistent with the random string, is judged
The camera function of the intelligent object to be measured is normal.
7. intelligent object according to claim 6, which is characterized in that be placed with reference chart in front of the camera module
The relative position of piece, the reference picture and the camera module immobilizes；Described program also executes following steps：
It obtains the normal intelligent object of camera function and controls the camera module and take pictures institute to the reference picture
Obtained reference photo；
It controls the camera module to take pictures to reference picture, obtains comparison photo；
By the comparison photo and the carry out similarity comparison with reference to photo, and according to similarity comparison as a result, obtaining
Double test result.
8. intelligent object according to claim 7, which is characterized in that described " by the comparison photo with described with reference to photograph
The carry out similarity comparison of piece, and according to similarity comparison as a result, obtaining second resurveys test result " be specially
The comparison photo is subjected to binary conversion treatment with described with reference to photo respectively；
Statistics obtains the number of the comparison photo pixel different from the reference photo intermediate value after binaryzation after binaryzation；
If the number of the different pixel of described value is less than preset threshold value, judgement second, which is resurveyed, to be pinged.
9. intelligent object according to claim 7, which is characterized in that it is described " if successfully decoded and decoding result with it is described
Random string is consistent, then judges that the camera function of the intelligent object to be measured is normal " be specially：
If successfully decoded and decoding result is consistent with the random string, judgement first, which is resurveyed, to be pinged；
If first resurveys and pinged and second resurveys and pinged, judge that the camera function of the intelligent object to be measured is normal.
10. intelligent object according to claim 7, which is characterized in that described " to be placed in front of the camera module
The relative position of reference picture, the reference picture and the camera module immobilizes " be specially：
Be placed with display in front of the camera module, the display for showing reference picture, the display with
The relative position of the camera module immobilizes.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109325491A (en) * | 2018-08-16 | 2019-02-12 | 腾讯科技（深圳）有限公司 | Identification code recognition methods, device, computer equipment and storage medium |
| CN114536404A (en) * | 2022-03-01 | 2022-05-27 | 乐聚(深圳)机器人技术有限公司 | Robot-based test method, device and storage medium |
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