CN105259459A - Automatic quality inspection method, apparatus and device for electronic equipment - Google Patents
Automatic quality inspection method, apparatus and device for electronic equipment Download PDFInfo
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Abstract
The invention discloses an automatic quality inspection method, an apparatus and a device for electronic equipment. The method comprises the steps of detecting the preset quality inspection items of electronic equipment by means of an automatic test box at a test workstation to obtain the actual detection data of the preset quality inspection items; judging whether the actual detection data meet a preset condition at the test workstation or not; when the actual detection data meet the preset condition, judging the electronic equipment to be qualified in the above preset quality inspection items. According to the invention, based on the cooperative operation of the test workstation and the automatic test box, the quality inspection process on the preset quality inspection items of electronic equipment can be conducted without the artificial assistance, and the result of the quality inspection process can be automatically confirmed at the test workstation instead of being artificially confirmed. Therefore, based on the automatic quality inspection method and the automatic quality inspection apparatus for the electronic equipment, the automation degree of the quality inspection process for the electronic equipment is improved. The quality inspection efficiency of the electronic equipment is increased.
Description
Technology neck frequency band
The present invention relates to quality inspection technology neck frequency band, particularly relate to a kind of robotization quality detecting method of electronic equipment, device and equipment.
Background technology
Electronic equipment is assembled by multiple electronic unit.In order to ensure that the electronic equipment after dispatching from the factory is qualified electronic product, need to carry out quality inspection detection to each performance of electronic equipment.
The quality testing of existing electronic equipment generally all needs artificial assistance just can complete quality inspection.Such as need the test result of each quality inspection item of Quality Inspector's manual confirmation, the automaticity of this quality determining method is lower, is unfavorable for the raising of quality inspection efficiency.
Summary of the invention
In view of this, the invention provides a kind of robotization quality detecting method of electronic equipment, device and equipment, to improve the automaticity of electronic equipment quality check process.
In order to reach foregoing invention object, present invention employs following technical scheme:
A robotization quality detecting method for electronic equipment, comprising:
Testing workstation utilizes the default quality inspection item of automatic testing cassete to electronic equipment to detect, and obtains the actual detection data of described default quality inspection item;
Testing workstation judges that described reality detects data and whether meets pre-conditioned, and if so, the quality inspection of the default quality inspection item of electronic equipment is passed through.
A robotization quality inspection equipment for electronic equipment, comprises testing workstation and automatic testing cassete,
Described automatic testing cassete is used for auxiliary described testing workstation and carries out quality inspection to electronic equipment;
Described testing workstation comprises storer and processor,
Described storer is for storing the logical order of the robotization quality inspection of method described in above-described embodiment;
Described processor for calling the logical order in described storer, to perform the method described in above-described embodiment.
A robotization quality inspection device for electronic equipment, comprising:
Detecting unit, for utilizing the default quality inspection item of automatic testing cassete to electronic equipment to detect, obtains the actual detection data of described default quality inspection item;
Judging unit, for judging that described reality detects data and whether meets pre-conditioned, if so, the quality inspection of the default quality inspection item of electronic equipment is passed through.
Compared to prior art, the present invention has following beneficial effect:
As seen through the above technical solutions, by the Collaboration of testing workstation and automatic testing cassete, the quality check process of the default quality inspection item of electronic equipment operates without the need to artificial assistance, and testing workstation can exact p-value result voluntarily, and no longer need manual confirmation test result, so the robotization quality detecting method of electronic equipment provided by the invention and robotization quality inspection equipment improve the automaticity of electronic equipment quality check process, be conducive to the quality inspection efficiency improving electronic equipment.
Accompanying drawing explanation
In order to be expressly understood the specific embodiment of the present invention, the accompanying drawing used is made a brief description below when describing the specific embodiment of the present invention.Apparently, these accompanying drawings are only section Example of the present invention, and ability band technology personnel, under the prerequisite not paying creative work, can also obtain other accompanying drawing.
Fig. 1 is the structural representation of the robotization quality inspection equipment of the electronic equipment that the embodiment of the present invention provides;
Fig. 2 is the structural representation of the testing workstation that the embodiment of the present invention provides;
Fig. 3 is the schematic flow sheet of the robotization quality detecting method of the electronic equipment that the embodiment of the present invention one provides;
Fig. 4 is the schematic flow sheet of the robotization quality detecting method of the electronic equipment that the embodiment of the present invention two provides;
Fig. 5 is the robotization quality detecting method schematic flow sheet of the electronic equipment that the embodiment of the present invention three provides;
Fig. 6 is the schematic flow sheet of the robotization quality detecting method of the electronic equipment that the embodiment of the present invention four provides;
Fig. 7 is the method flow schematic diagram of the calculating audio-frequency fingerprint similarity that the embodiment of the present invention four provides;
Fig. 8 is the robotization quality detecting method schematic flow sheet of the electronic equipment that this embodiment of the present invention five provides
Fig. 9 is the robotization quality detecting method schematic flow sheet of the electronic equipment that the embodiment of the present invention six provides;
Figure 10 is the schematic flow sheet of the robotization quality detecting method of the electronic equipment that the embodiment of the present invention seven provides;
Figure 11 be the embodiment of the present invention seven provide the method flow schematic diagram of calculating audio-frequency fingerprint similarity;
Figure 12 is the robotization quality detecting method schematic flow sheet of the electronic equipment described in the embodiment of the present invention eight;
Figure 13 is the robotization quality detecting method schematic flow sheet of the electronic equipment that the embodiment of the present invention nine provides;
Figure 14 is the robotization quality inspection device structural representation of a kind of electronic equipment that the embodiment of the present invention ten provides.
Embodiment
For making object of the present invention, technical scheme and effect clearly complete, below in conjunction with accompanying drawing, the specific embodiment of the present invention is described.
First it should be noted that, the electronic equipment described in the embodiment of the present invention can be multiple, such as, can be mobile phone, computer, MP3, MP4, MP5 etc.
First the robotization quality inspection equipment that the embodiment of the present invention provides electronic equipment is introduced.Fig. 1 is the structural representation of the robotization quality inspection equipment of the electronic equipment that the embodiment of the present invention provides.As shown in Figure 1, this robotization quality inspection equipment comprises:
Testing workstation 11 and automatic testing cassete 12;
Wherein, automatic testing cassete 12 being provided with the fixture 121 of stationary electronic devices 13, in addition, in order to assist testing workstation 11 to realize full-automatic quality inspection, automatic testing cassete 12 being also provided with loudspeaker 122, camera 123 and microphone 124.And loudspeaker 122, camera 123 and microphone 124 can be controlled by testing workstation 11.Specifically, when loudspeaker 122 receives the instruction of the displaying audio file that testing workstation 11 sends, loudspeaker 122 will displaying audio file, after camera 123 receives the instruction of the collection image that testing workstation 11 sends, camera 123 will gather corresponding image, in like manner, after microphone 124 receives the record command that testing workstation 11 sends, microphone 124 will be recorded to the audio file play.In addition, in order to realize the control of testing workstation 11 to the loudspeaker 122 on automatic testing cassete 12, camera 123 and microphone, when carrying out quality inspection to electronic equipment, testing workstation 11 with automatically test between 12 stations and can be connected by USB line.As from the foregoing, automatic testing cassete 12 can regard the peripheral auxiliary equipment of testing workstation 11 as.Utilize the artificial assistance that this automatic testing cassete 12 can replace in existing electronic equipment quality check process.Thus, this automatic testing cassete is conducive to the automaticity improving electronic equipment quality check process.
In addition, testing workstation 11 can also control tested electronic equipment.Wherein, also can realize connecting by USB line between testing workstation 11 and tested electronic equipment.
In addition, in order to realize the full-automation of electronic equipment quality check process, as shown in Figure 2, it comprises processor 210, communication interface (CommunicationsInterface) 220, storer 230 and CAN 240 to above-mentioned testing workstation 11.Processor 210, communication interface 220, storer 230 complete mutual communication by CAN 240.
Wherein, can store the logical order of the robotization quality inspection of electronic equipment in storer 230, this storer can be such as nonvolatile memory (non-volatilememory).Processor 210 can call the logical order of the robotization quality inspection of the electronic equipment in storer 230, to perform the robotization quality detecting method of follow-up described electronic equipment.
As embodiment, the logical order of the robotization quality inspection of this electronic equipment can be the program that control software design is corresponding, and when processor performs this instruction, testing workstation can show function interface corresponding to this instruction accordingly on display interface.
If the function of the logical order of the robotization quality inspection of electronic equipment using the form of SFU software functional unit realize and as independently production marketing or use time, can be stored in a computer read/write memory medium.Based on such understanding, the part of the part that technical scheme of the present disclosure contributes to prior art in essence in other words or this technical scheme can embody with the form of software product, this computer software product is stored in a storage medium, comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) perform all or part of step of method described in each embodiment of the present invention.And aforesaid storage medium comprises: USB flash disk, portable hard drive, ROM (read-only memory) (ROM, Read-OnlyMemory), random access memory (RAM, RandomAccessMemory), disk or CD etc. various can be program code stored medium.
The logical order of the robotization quality inspection of above-mentioned electronic equipment, can be called " the robotization quality inspection device of electronic equipment ", this device can be divided into each functional module.Specifically see following examples ten.
Based on the robotization quality inspection equipment of the electronic equipment described in above-described embodiment, the invention provides the embodiment of the robotization quality detecting method of electronic equipment.Specific embodiment one.
Embodiment one
Fig. 3 is the schematic flow sheet of the robotization quality detecting method of the electronic equipment that the embodiment of the present invention one provides.As shown in Figure 3, the method comprises the following steps:
S301, testing workstation utilize the default quality inspection item of automatic testing cassete to electronic equipment to detect, and obtain the actual detection data of described default quality inspection item;
It should be noted that, the embodiment of the present invention can carry out quality inspection to multiple quality inspection items of electronic equipment, and therefore, described default quality inspection item can be multiple different quality inspection items.
S302, testing workstation judge that described reality detects data and whether meets pre-conditioned, and if so, the quality inspection of the default quality inspection item of electronic equipment is passed through, and if not, the quality inspection of the default quality inspection item of electronic equipment is not passed through, and performs step S303:
Need to illustrate time, preset the difference of quality inspection item, described is pre-conditioned not identical yet.
S303, testing workstation store the actual detection data of described default quality inspection item:
After quality inspection completes, likely need to carry out case study to the unsanctioned default quality inspection item of quality inspection, need in quality check process, to detect the actual detection data obtained when analyzing, so, in order to follow-up case study, test job standing-meeting stores the actual detection data of the unsanctioned default quality inspection item of quality inspection.
In the robotization quality detecting method of this electronic equipment, cooperated with the mutual of automatic testing cassete by testing workstation, the full-automation of the quality check process of electronics can be realized.The quality check process of the default quality inspection item of electronic equipment operates without the need to artificial assistance, and testing workstation can exact p-value result voluntarily, and no longer need manual confirmation test result, so, the robotization quality detecting method of electronic equipment provided by the invention improves the automaticity of electronic equipment quality check process, is conducive to the quality inspection efficiency improving electronic equipment.
As the specific embodiment of the present invention, when electronic equipment being provided with loudspeaker, microphone and display screen, above-described embodiment one robotization quality detecting method can realize the quality inspection of loudspeaker, microphone and display screen to electronic equipment.Below in conjunction with accompanying drawing introduce respectively above-described embodiment one robotization quality detecting method to the embodiment of the quality inspection of the loudspeaker of electronic equipment, microphone and display screen.
It should be noted that, the quality inspection of the embodiment of the present invention to the loudspeaker of electronic equipment and microphone comprises single-tone detection, impulse noise detection and sound quality contrast detection respectively.Wherein, the contrast of the sound quality of loudspeaker detects the voice quality being loudspeaker and detects, and detect the sounding whether distortion of loudspeaker, the sound quality contrast of microphone detects the recording quality being microphone and detects, and detects the recording whether distortion of microphone.In addition, the detection of the embodiment of the present invention to the display screen of electronic equipment comprise whether display screen exist bad point and display screen whether can the detection of correctly Show Color.Introduce the quality detecting method of each quality inspection item below respectively.
First the robotization quality detecting method of the electronic equipment that embodiment one provides is introduced to the single-tone detection of the loudspeaker of electronic equipment.Specifically see embodiment two.
Embodiment two
Fig. 4 is the schematic flow sheet of the robotization quality detecting method of the electronic equipment that the embodiment of the present invention two provides.The method is for detecting the single-tone of the loudspeaker on electronic equipment.As shown in Figure 4, the method comprises the following steps:
S401, after on the fixture that electronic equipment is fixed on automatic testing cassete, testing workstation controls electronic equipment and plays the single-tone file of the first predeterminated frequency:
As mentioned above, the embodiment of the present invention is provided with loudspeaker by the electronic equipment of quality inspection.And testing workstation can control electronic equipment.So after on fixture electronic equipment being fixed on automatic testing cassete, connecting test workstation and electronic equipment, then testing workstation controls the first predeterminated frequency play by electronic equipment single-tone file by loudspeaker disposed thereon.Exemplarily, the single-tone file of described first predeterminated frequency can be such as the equifrequent single-tone file of 30Hz, 500Hz, 1KHz, 4KHz, 8KHz, 16KHz or 20KHz.
S402, the microphone utilized on automatic testing cassete, the single-tone file of testing workstation to the first predeterminated frequency that electronic equipment is play is recorded, and generates the first recording file:
Exemplarily, the first recording file of generation can be kept in testing workstation with wav form.The first recording file preserved such as can called after tone_30Hz.wav.
Whether the waveform that S403, testing workstation detect described first recording file is the first predeterminated frequency, and if so, the single-tone detection of the loudspeaker of electronic equipment is passed through, and if not, the single-tone detection of the loudspeaker of electronic equipment is not passed through:
Whether the waveform that testing workstation starts wave form analysis Programmable detection first recording file installed within it is the first predeterminated frequency, and if so, then the single-tone detection of the loudspeaker of electronic equipment is passed through, and if not, the single-tone detection of the appearance of electronic equipment is not passed through.
Above step S401 to step S403 detects the single-tone of a frequency of loudspeaker.If adopt the single-tone file of different frequency, repeat above-mentioned steps S401 to step S403 and just can detect the single-tone of multiple different frequencies of loudspeaker.
The embodiment that the noise of robotization quality detecting method to the loudspeaker of electronic equipment introducing the electronic equipment that the embodiment of the present invention one provides below detects, specifically see embodiment three.
Embodiment three
Fig. 5 is the robotization quality detecting method schematic flow sheet of the electronic equipment that the embodiment of the present invention three provides.The method is for detecting the noise of the loudspeaker on electronic equipment.
As shown in Figure 5, the method comprises the following steps:
S501, after on the fixture that electronic equipment is fixed on automatic testing cassete, testing workstation control electronic equipment play the first specified voice file:
As mentioned above, testing workstation can control electronic equipment, so after on the fixture that electronic equipment is fixed on automatic testing cassete, the audio frequency that testing workstation starts on electronic equipment plays APP, controls it and plays the first specified voice file.Exemplarily, the first specified voice file can be such as play.wav, and playing duration can be about 5 seconds.
S502, the microphone utilized on automatic testing cassete, testing workstation is recorded to the first specified voice file that electronic equipment is play, and generates the second recording file:
Testing workstation utilizes the microphone on automatic testing cassete, while the first specified voice file play by electronic equipment, testing workstation is recorded to the first specified voice file that electronic equipment is play, and preserves recording file with wav form, generates the second recording file.
S503, testing workstation carry out impulse noise detection to described second recording file, and to judge whether described second recording file exists noise, if not, the impulse noise detection of loudspeaker is passed through, and if not, the impulse noise detection of loudspeaker is not passed through:
As a specific embodiment of the present invention, testing workstation utilizes utilization index weighted least-squares method EWLS to carry out impulse noise detection to the second recording file.
In addition, after the impulse noise detection of loudspeaker is not passed through, testing workstation can also stop continuing the impulse noise detection to other electronic equipment by reporting errors.
The voice quality of robotization quality detecting method to the loudspeaker of electronic equipment introducing the electronic equipment that the embodiment of the present invention one provides below detects.Specifically see embodiment four.
Embodiment four
Fig. 6 is the schematic flow sheet of the robotization quality detecting method of the electronic equipment that the embodiment of the present invention four provides.This quality detecting method is for carrying out voice quality detection to the loudspeaker on electronic equipment.
As shown in Figure 6, the method comprises the following steps:
S601, after on the fixture that electronic equipment is fixed on automatic testing cassete, testing workstation control electronic equipment play the second specified voice file:
After on the fixture that electronic equipment is fixed on automatic testing cassete, the audio frequency that testing workstation starts on electronic equipment plays APP, controls it and plays the second specified voice file.Exemplarily, the second specified voice file can be such as play.wav, and playing duration can be about 5 seconds.
It should be noted that, the first specified voice file in the second specified voice file and embodiment three can be same audio files, also can be alternative sounds file.
S602, the microphone utilized on automatic testing cassete, testing workstation is recorded to the second specified voice file that electronic equipment is play, and generates the 3rd recording file;
While the second specified voice file play by electronic equipment or before, testing workstation starts the microphone on automatic testing cassete, utilize this microphone to record to the second specified voice file that electronic equipment is play, recording file is preserved with wav form simultaneously, generate the 3rd recording file.
S603, testing workstation calculate the audio-frequency fingerprint of described second specified voice file and described 3rd recording file respectively.
S604, testing workstation calculate the similarity of the audio-frequency fingerprint of described second specified voice file and the audio-frequency fingerprint of described 3rd recording file:
Particularly, as shown in Figure 7, it comprises a specific implementation of this step:
S6041, use identical sample frequency to carry out monophony sampling to described second specified voice file and described 3rd recording file respectively, obtain the first monophony sampling respectively and the second monophony is sampled;
Exemplarily, sample frequency can adopt 5512Hz, carries out monophony sampling to the second specified voice file, obtains the first monophony sampling, carries out monophony sampling to the 3rd recording file, obtains the second monophony sampling.
S6042, according to described first monophony sampling build corresponding first spectrogram, according to described second monophony sampling build corresponding second spectrogram;
According to the first monophony sampling, build corresponding first spectrogram (spectrogram) of the first monophony sampling by discrete Fourier transformation (FFT), build corresponding second spectrogram of the second monophony sampling according to the second monophony sampling by discrete Fourier transformation (FFT).
S6043, respectively band division filter is carried out to described first spectrogram and the second spectrogram, to make the frequency band only retaining predeterminated frequency scope in described first spectrogram and described second spectrogram;
According to the audibility range of people, respectively band division filter is carried out to the first spectrogram and the second spectrogram, to make the frequency band only retaining predeterminated frequency scope in the first spectrogram after filtration and the second spectrogram.Wherein, the frequency range that the sense of hearing that the frequency band of predeterminated frequency scope is behaved can identify, as 318Hz ~ 2000Hz.
S6044, respectively wavelet decomposition is carried out to the frequency band of the predeterminated frequency scope in described first spectrogram and described second spectrogram, and get the audio-frequency fingerprint of front N item small echo respectively as the second specified voice file and the audio-frequency fingerprint of the 3rd recording file of the predeterminated frequency scope in the first spectrogram after wavelet decomposition and the second spectrogram; Wherein, N is positive integer;
Particularly, respectively standard Haar wavelet decomposition is carried out to the frequency band of the predeterminated frequency scope of the first spectrogram after filtering and reservation in the second spectrogram, and get in the first spectrogram after wavelet decomposition and the second spectrogram the audio-frequency fingerprint of front N item small echo respectively as the second specified voice file and the audio-frequency fingerprint of the 3rd recording file that comprise main information, wherein, N is positive integer.Exemplarily, N=200.
S6045, calculate the min-hash value of the audio-frequency fingerprint of the second specified voice file and the audio-frequency fingerprint of the 3rd recording file respectively;
Conveniently similar set retrieval, calculates the min-hash value of the audio-frequency fingerprint of the second specified voice file, calculates the min-hash value of the audio-frequency fingerprint of the 3rd recording file.
S6046, search the most similitude of the min-hash value of the min-hash value of the audio-frequency fingerprint of the second specified voice file and the audio-frequency fingerprint of the 3rd recording file;
Particularly, use there is the most similitude that sensitive hash k-nearest neighbor algorithm searches the min-hash value of the audio-frequency fingerprint of careful and the 3rd recording file in the minimum Kazakhstan of the audio-frequency fingerprint of the second specified voice file.
S6047, calculate the similarity of the audio-frequency fingerprint of the second specified voice file and the audio-frequency fingerprint of described 3rd recording file according to described most similitude.
S605, testing workstation judge that whether the similarity of the audio-frequency fingerprint of described second specified voice file and the audio-frequency fingerprint of the 3rd recording file is more than the first predetermined threshold value, if, the voice quality of loudspeaker detects the non-distortion of sounding by being loudspeaker, if not, the voice quality of loudspeaker detects and does not pass through, i.e. the sounding distortion of loudspeaker:
Exemplarily, the first predetermined threshold value is 98%.In addition, the first predetermined threshold value can be other numerical value.
Embodiment two to embodiment four is the embodiment of the automated detection method of single-tone, noise and voice quality to the loudspeaker on electronic equipment respectively.In above three embodiments, testing workstation, by automatic test box, can realize the robotization quality inspection of the single-tone of the loudspeaker to electronic equipment, noise and voice quality.Further, the confirmation of quality inspection result also by testing workstation complete independently, can improve the automaticity of electronic equipment quality inspection, is conducive to the efficiency improving electronic equipment quality inspection.
Introduce the embodiment of the automated detection method of the single-tone to the microphone on electronic equipment, noise and recording quality below.Specifically see embodiment five to embodiment seven.
It should be noted that, substantially identical with the automated detection method of voice quality to the automated detection method of the single-tone of the microphone on electronic equipment, noise and recording quality and the single-tone to the loudspeaker on electronic equipment, noise, its difference is, when the detection of the single-tone to loudspeaker, noise and voice quality, testing workstation controls electronic equipment and to play sound file, and testing workstation is recorded by the microphone on automatic test box, generate recording file.Contrastively, when the detection of the single-tone to microphone, noise and recording quality, testing workstation to be played sound file by the loudspeaker on automatic test box, and the microphone that testing workstation controls on electronic equipment is recorded to the audio files play.That is, in the robotization quality check process of the single-tone to microphone and loudspeaker, noise and recording quality, the effect of testing workstation and electronic equipment is exchanged.Specifically see following examples.
Embodiment five
Fig. 8 is the robotization quality detecting method schematic flow sheet of the electronic equipment that the embodiment of the present invention five provides.The method is for detecting the single-tone of the microphone on electronic equipment, and as shown in Figure 8, the method comprises the following steps:
S801, after on the fixture that electronic equipment is fixed on automatic testing cassete, utilize the loudspeaker on automatic testing cassete, testing workstation plays the single-tone file of the second predeterminated frequency:
It should be noted that, the second predeterminated frequency can be identical with the first predeterminated frequency in embodiment two, also can be different.
The single-tone file of microphone to the second predeterminated frequency play that S802, testing workstation control on electronic equipment is recorded, and generates the 4th recording file:
The single-tone file of microphone to the second predeterminated frequency play that testing workstation controls on electronic equipment is recorded, and preserves this recording with wav form, generates the 4th recording file.
Whether the waveform that S803, testing workstation detect described 4th recording file is the second predeterminated frequency, and if so, the single-tone detection of the microphone of electronic equipment is passed through, and if not, the single-tone detection of the microphone of electronic equipment is not passed through:
Whether the waveform that testing workstation starts wave form analysis Programmable detection the 4th recording file installed within it is the second predeterminated frequency, and telling is that the single-tone detection of the microphone of electronic equipment is passed through, and if not, the single-tone detection of the microphone of electronic equipment is not passed through.
Above step S801 to step S803 detects the single-tone of a frequency of microphone.If adopt the single-tone file of different frequency, repeat above-mentioned steps S801 to step S803 and just can detect the single-tone of multiple different frequencies of microphone.
The embodiment that the noise of robotization quality inspection side to the microphone of electronic equipment introducing the electronic equipment that the embodiment of the present invention provides below detects, specifically see embodiment six.
Embodiment six
Fig. 9 is the robotization quality detecting method schematic flow sheet of the electronic equipment that the embodiment of the present invention six provides, and the method is for detecting the noise of the microphone on electronic equipment.
As shown in Figure 9, the method comprises the following steps:
S901, the loudspeaker utilized on automatic testing cassete, testing workstation plays the 3rd specified voice file;
Testing workstation starts the loudspeaker on automatic testing cassete, utilizes this loudspeaker, and testing workstation plays the 3rd specified voice file.It should be noted that, the 3rd specified voice file can be identical with the first specified voice file in embodiment three, also can be different.
The microphone that S902, testing workstation control on electronic equipment is recorded to the 3rd specified voice file play, and forms the 5th recording file:
Testing workstation to play while the 3rd specified voice file or before, testing workstation starts the microphone on electronic equipment, is recorded to the 3rd specified voice file play by the microphone on electronic equipment, forms the 5th recording file.
S903, testing workstation carry out impulse noise detection to described 5th recording file, to judge whether described 5th recording file exists impulsive noise, and if so, the impulse noise detection of microphone is not passed through, and if not, the impulse noise detection of microphone is passed through.
Exemplarily, testing workstation utilization index weighted least-squares method can carry out impulse noise detection to described 5th recording file.
The recording quality of robotization quality detecting method to the microphone of electronic equipment introducing the electronic equipment that the embodiment of the present invention provides below detects.Specifically see embodiment seven.
Embodiment seven
Figure 10 is the schematic flow sheet of the robotization quality detecting method of the electronic equipment that the embodiment of the present invention seven provides.This quality detecting method is for carrying out recording quality detection to the microphone on electronic equipment.
As shown in Figure 10, the method comprises the following steps:
S1001, the loudspeaker utilized on automatic testing cassete, testing workstation plays the 4th specified voice file:
Testing workstation starts the loudspeaker on automatic testing cassete, utilizes this loudspeaker, and testing workstation plays the 4th specified voice file.
The microphone that S1002, testing workstation control on electronic equipment is recorded to the 4th specified voice file play, and forms the 6th recording file.
Testing workstation to play while the 4th specified voice file or before, testing workstation starts the microphone on electronic equipment, and electronic equipment utilizes this microphone to record to the 4th specified voice file play, and forms the 6th recording file.
S1003, testing workstation calculate the audio-frequency fingerprint of described 4th specified voice file and described 6th recording file respectively.
S1004, testing workstation calculate the similarity of the audio-frequency fingerprint of described 4th specified voice file and the audio-frequency fingerprint of described 6th recording file;
As an embodiment of this step, as shown in figure 11, it comprises the following steps the specific implementation of step S1004:
S10041, use identical sample frequency to carry out monophony sampling to described 4th specified voice file and described 6th recording file respectively, obtain the 3rd monophony sampling respectively and the 4th monophony is sampled:
Exemplarily, sample frequency can adopt 5512Hz, carries out monophony sampling to the 4th specified voice file, obtains the 3rd monophony sampling, carries out monophony sampling to the 6th recording file, obtains the 4th monophony sampling.
S10042, according to described 3rd monophony sampling build corresponding 3rd spectrogram, according to described 4th monophony sampling build corresponding 4th spectrogram:
According to the 3rd monophony sampling, build corresponding 3rd spectrogram (spectrogram) of the 3rd monophony sampling by discrete Fourier transformation (FFT), build corresponding 4th spectrogram of the 4th monophony sampling according to the 4th monophony sampling by discrete Fourier transformation (FFT).
S10043, respectively band division filter is carried out to described 3rd spectrogram and the 4th spectrogram, to make the frequency band only retaining predeterminated frequency scope in described 3rd spectrogram and described 4th spectrogram:
According to the audibility range of people, respectively band division filter is carried out to the 3rd spectrogram and the 4th spectrogram, to make the frequency band only retaining predeterminated frequency scope in the 3rd spectrogram after filtration and the 4th spectrogram.Wherein, the frequency range that the sense of hearing that the frequency band of predeterminated frequency scope is behaved can identify, as 318Hz ~ 2000Hz.
S10044, respectively wavelet decomposition is carried out to the frequency band of the predeterminated frequency scope in described 3rd frequency plot and described 4th spectrogram, and get the audio-frequency fingerprint of front N item small echo respectively as the 4th specified voice file and the audio-frequency fingerprint of the 6th recording file of the predeterminated frequency scope in the 3rd frequency plot after wavelet decomposition and described 4th spectrogram; Wherein, N is positive integer:
Particularly, respectively standard Haar wavelet decomposition is carried out to the frequency band of the predeterminated frequency scope of the 3rd spectrogram after filtering and reservation in the 4th spectrogram, and get in the 3rd spectrogram after wavelet decomposition and the 4th spectrogram the audio-frequency fingerprint of front N item small echo respectively as the 4th specified voice file and the audio-frequency fingerprint of the 6th recording file that comprise main information, wherein, N is positive integer.Exemplarily, N=200.
The min-hash value of S10045, respectively the calculating audio-frequency fingerprint of the 4th specified voice file and the audio-frequency fingerprint of the 6th recording file:
Conveniently similar set retrieval, calculates the min-hash value of the audio-frequency fingerprint of the 4th specified voice file, calculates the min-hash value of the audio-frequency fingerprint of the 6th recording file.
S10046, search the most similitude of the min-hash value of the min-hash value of the audio-frequency fingerprint of the 4th specified voice file and the audio-frequency fingerprint of the 6th recording file:
Particularly, use there is the most similitude that sensitive hash k-nearest neighbor algorithm searches the min-hash value of the min-hash value of the audio-frequency fingerprint of the 4th specified voice file and the audio-frequency fingerprint of the 6th recording file.
S10047, calculate the similarity of the audio-frequency fingerprint of the 4th specified voice file and the audio-frequency fingerprint of described 6th recording file according to described most similitude.
S1005, judge that whether the similarity of the audio-frequency fingerprint of described second specified voice file and the audio-frequency fingerprint of described 3rd recording file is more than the second predetermined threshold value, if, the voice quality of loudspeaker detects and passes through, and if not, the voice quality of loudspeaker detects and do not pass through.
Exemplarily, the second predetermined threshold value is 98%.In addition, the second predetermined threshold value can be other numerical value.
Embodiment five to embodiment seven is the embodiment of the automated detection method of the electronic equipment of single-tone, noise and recording quality to the microphone on electronic equipment respectively.In above three embodiments, testing workstation, by automatic test box, can realize the robotization quality inspection of the single-tone of the microphone to electronic equipment, noise and recording quality.Further, the confirmation of quality inspection result also by testing workstation complete independently, can improve the automaticity of electronic equipment quality inspection, is conducive to the efficiency improving electronic equipment quality inspection.
Introduce the embodiment utilizing the display screen of robotization quality inspection equipment to electronic equipment of the electronic equipment described in above-described embodiment to detect below.Specifically see embodiment eight.
Embodiment eight
Figure 12 is the robotization quality detecting method schematic flow sheet described in the embodiment of the present invention eight, and the method is for whether the display screen of electronic equipment existing bad point detecting.As shown in figure 12, the method comprises the following steps:
S1201, after on the fixture that electronic equipment is fixed on automatic testing cassete, testing workstation utilizes automatic testing cassete locating and displaying to shield the apex coordinate of corner;
As a specific embodiment of the present invention, the specific implementation process of step S1201 comprises the following steps:
The display screen of S12011, testing workstation control electronic equipment carries out the display of preset mode, and described preset mode is display screen full screen display solid color, and the contrast of the shell rim color of described solid color and electronic equipment is greater than the 3rd predetermined threshold value:
For example, when the shell rim color of electronic equipment is black, the solid color of display screen display can be white, or the contrast of other and black is greater than the color of the 3rd predetermined threshold value.
S12012, the testing workstation camera collection controlled on automatic testing cassete is in the general image of the electronic equipment of display state;
S12013, testing workstation determine the summit of display screen corner according to color contrast change in described general image;
S12014, testing workstation calculate the apex coordinate of display screen corner.
S1202, testing workstation scan the pixel value within the scope of the vertex matrix of described display screen corner.
S1203, testing workstation judge that whether the pixel value within the scope of the vertex matrix of described display screen corner is consistent, if so, display screen do not have bad point, if not, display screen have bad point.
Quality detecting method described in embodiment eight whether detection display screen can exist bad point.
Embodiment eight whether the display screen to electronic equipment exists the embodiment that bad point carries out quality inspection.In this embodiment, testing workstation can gather the general image of electronic equipment by the camera on automatic testing cassete, by four angular vertexs of general image determination display screen collected, because display screen display mode is full frame monochrome display, when display screen not existing bad point, the pixel value within the scope of the vertex matrix of display screen corner should be consistent.So, by judging whether the pixel value within the scope of display screen four angular vertex unanimously can judge whether there is bad point in display screen.
In the method described in above-described embodiment, the process that whether there is bad point in detection display screen has all been controlled by testing workstation, and without the need to artificial participation, testing result is also that workstation self judges to obtain.So, the method increase the automaticity of electronic equipment quality inspection.
In addition, the robotization quality inspection equipment described in above-described embodiment one can also detection display screen can correct Show Color, specifically see embodiment nine.
Embodiment nine
Figure 13 is the robotization quality detecting method schematic flow sheet of the electronic equipment that the embodiment of the present invention nine provides, and can it correctly Show Color for detection display screen.As shown in figure 13, the method comprises the following steps:
S1301, after on the fixture that electronic equipment is fixed on automatic testing cassete, testing workstation controls the full frame display carrying out pre-set color of display screen of electronic equipment:
Arbitrary color that described pre-set color can be able to show for display screen.
S1302, the testing workstation camera collection controlled on automatic testing cassete is in the display image of display state.
S1303, testing workstation according to described in be in display state display image obtain the actual color value of pre-set color of display screen display.
S1304, testing workstation judge that the actual color value of the pre-set color of described display is whether in the color value threshold range of described pre-set color, and if so, display screen correctly can show pre-set color, and if not, display screen correctly can not show pre-set color.
Correctly pre-set color can be shown by detection display screen by the method shown in Figure 13.Control display screen and show another color, repeated execution of steps S1302 to S1304, just whether can correctly show another color to display screen and detect.The color detected is needed all to detect complete until all.
Can embodiment nine correctly carry out the embodiment of quality inspection by Show Color to the display screen of electronic equipment.In this embodiment, testing workstation can gather the image of display screen by the camera on automatic testing cassete, the actual color value of image Show Color is shown, by judging at the color value threshold range of this color, whether the actual color value comparing this Show Color determines whether display screen can correctly show this color by the Image Acquisition collected.This whole testing process has controlled by testing workstation, and without the need to artificial participation, therefore, the automaticity of the method is higher, is conducive to the quality inspection efficiency improving electronic equipment.
It should be noted that, the embodiment of the robotization quality detecting method of the electronic equipment described in embodiment two to embodiment nine is not isolated, can mutually combine between each mutual embodiment, to form new embodiment.Embodiment after combination is also at the row of protection scope of the present invention.
Based on the robotization quality detecting method of the electronic equipment that above-described embodiment provides, the embodiment of the present invention additionally provides the robotization quality inspection device of electronic equipment.Specifically see embodiment ten.
Embodiment ten
Based on the robotization quality detecting method described in above-described embodiment one to embodiment nine, embodiments provide a kind of specific embodiment mode of robotization quality inspection device of electronic equipment.Figure 14 is the robotization quality inspection device structural representation of a kind of electronic equipment that the embodiment of the present invention ten provides.As shown in figure 14, this device comprises with lower unit:
Detecting unit 141, for utilizing the default quality inspection item of automatic testing cassete to electronic equipment to detect, obtains the actual detection data of described default quality inspection item;
Judging unit 142, for judging that described reality detects data and whether meets pre-conditioned, if so, the quality inspection of the default quality inspection item of electronic equipment is passed through.
Described device can also comprise:
Storage unit 143, when the judged result obtained for described judging unit is no, stores the actual detection data of described default quality inspection item.
It should be noted that, when electronic equipment being provided with loudspeaker, the device shown in Figure 14 can detect the single-tone of the loudspeaker of electronic equipment, noise and voice quality.When electronic equipment being provided with microphone, the device shown in Figure 14 can also detect the single-tone of the microphone of electronic equipment, noise and recording quality.
Further, when whether above-mentioned quality inspection device exists bad point on the display screen of quality inspection electronic equipment, detecting unit 141 described above comprises:
Locator unit, after on the fixture that electronic equipment is fixed on automatic testing cassete, for the apex coordinate utilizing automatic testing cassete locating and displaying to shield corner;
Scanning subelement, for scanning the pixel value within the scope of the vertex matrix of described display screen corner;
Judging unit 142 described above comprises the first judgment sub-unit, and whether the first judgment sub-unit is consistent for judging the pixel value within the scope of the vertex matrix of described display screen corner, if so, display screen do not have bad point, if not, display screen has bad point.
Alternatively, described locator unit comprises:
Control display subelement, the display screen for controlling electronic equipment carries out the display of preset mode, and described preset mode is display screen full screen display solid color, and the contrast of the shell rim color of described solid color and electronic equipment is greater than the 3rd predetermined threshold value;
Control image acquisition subelement, be in the general image of the electronic equipment of display state for the camera collection controlled on automatic testing cassete;
Determine subelement, for determining the summit of display screen corner according to color contrast change in described general image;
Computation subunit, for calculating the apex coordinate of display screen corner.
In addition, when can above-mentioned quality inspection device correctly show pre-set color on the display screen of quality inspection electronic equipment, detecting unit 141 described above comprises:
Control display subelement, after on the fixture being fixed on automatic testing cassete when electronic equipment, control the full frame display carrying out pre-set color of display screen of electronic equipment;
Control image acquisition subelement, be in the display image of display state for the camera collection controlled on automatic testing cassete;
Obtain subelement, the display image for being in display state described in basis obtains the actual color value of the pre-set color of display screen display;
Judging unit 142 comprises the second judgment sub-unit, and the second judgment sub-unit is for judging that the actual color value of the pre-set color of described display is whether in the color value threshold range of described pre-set color, and if so, display screen correctly can show pre-set color.
Utilize the robotization quality inspection device of the electronic equipment described in above-described embodiment ten, the full-automation of electronic equipment can be realized, compared to prior art, improve the automaticity of electronic equipment quality inspection.
The above is only the preferred embodiment of the present invention; it should be pointed out that the those of ordinary skill for this technology neck frequency band, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (22)
1. a robotization quality detecting method for electronic equipment, is characterized in that, comprising:
Testing workstation utilizes the default quality inspection item of automatic testing cassete to electronic equipment to detect, and obtains the actual detection data of described default quality inspection item;
Testing workstation judges that described reality detects data and whether meets pre-conditioned, and if so, the quality inspection of the default quality inspection item of electronic equipment is passed through.
2. method according to claim 1, is characterized in that, described testing workstation judges that described reality detects data and whether meets pre-conditioned, and also comprise: if not, testing workstation stores the actual detection data of described default quality inspection item.
3. method according to claim 1 and 2, it is characterized in that, described electronic equipment is provided with loudspeaker, described automatic testing cassete is provided with microphone, described testing workstation can control the loudspeaker on electronic equipment and the microphone on automatic testing cassete; Described default quality inspection item is the single-tone detection of loudspeaker;
Described testing workstation utilizes the default quality inspection item of automatic testing cassete to electronic equipment to detect, and obtains the actual detection data of described default quality inspection item, specifically comprises:
Testing workstation controls the single-tone file that the first predeterminated frequency play by electronic equipment;
Utilize the microphone on automatic testing cassete, the single-tone file of testing workstation to the first predeterminated frequency that electronic equipment is play is recorded, and forms the first recording file;
Described testing workstation judges that described reality detects data and whether meets pre-conditioned, and if so, the quality inspection of the default quality inspection item of electronic equipment is passed through, and specifically comprises:
Whether the waveform that testing workstation detects described first recording file is the first predeterminated frequency, and if so, the single-tone detection of the loudspeaker of described electronic equipment is passed through.
4. method according to claim 1 and 2, it is characterized in that, described electronic equipment is provided with loudspeaker, described automatic testing cassete is provided with microphone, described testing workstation can control the loudspeaker on electronic equipment and the microphone on automatic testing cassete, and described default quality inspection item is the impulse noise detection of loudspeaker;
Described testing workstation utilizes the default quality inspection item of automatic testing cassete to electronic equipment to detect, and obtains the actual detection data of described default quality inspection item, specifically comprises:
Testing workstation controls electronic equipment and plays the first specified voice file;
Utilize the microphone on automatic testing cassete, testing workstation is recorded to the first specified voice file that electronic equipment is play, and forms the second recording file;
Described testing workstation judges that described reality detects data and whether meets pre-conditioned, and if so, the quality inspection of the default quality inspection item of electronic equipment is passed through, and specifically comprises:
Testing workstation carries out impulse noise detection to described second recording file, and to judge whether described second recording file exists impulsive noise, if not, the impulse noise detection of loudspeaker is passed through.
5. method according to claim 4, is characterized in that, described testing workstation carries out impulse noise detection to described second recording file, specifically comprises:
Utilization index weighted least-squares method carries out impulse noise detection to described second recording file.
6. method according to claim 1 and 2, it is characterized in that, described electronic equipment is provided with loudspeaker, described automatic testing cassete is provided with microphone, described testing workstation can control the loudspeaker on electronic equipment and the microphone on automatic testing cassete, and described default quality inspection item is that the voice quality of loudspeaker detects;
Described testing workstation utilizes the default quality inspection item of automatic testing cassete to electronic equipment to detect, and obtains the actual detection data of described default quality inspection item, specifically comprises:
The second specified voice file play by the loudspeaker that testing workstation controls on electronic equipment;
Utilize the microphone on automatic testing cassete, testing workstation is recorded to the second specified voice file that electronic equipment is play, and forms the 3rd recording file;
Testing workstation calculates the audio-frequency fingerprint of described second specified voice file and described 3rd recording file respectively;
Testing workstation calculates the similarity of the audio-frequency fingerprint of described second specified voice file and the audio-frequency fingerprint of described 3rd recording file;
Described testing workstation judges that described reality detects data and whether meets pre-conditioned, and if so, the quality inspection of the default quality inspection item of electronic equipment is passed through, and specifically comprises:
Testing workstation judges that whether the similarity of the audio-frequency fingerprint of described second specified voice file and the audio-frequency fingerprint of described 3rd recording file is more than the first predetermined threshold value, and if so, the voice quality of loudspeaker detects and passes through.
7. method according to claim 6, is characterized in that, described testing workstation calculates the similarity of the audio-frequency fingerprint of described second specified voice file and the audio-frequency fingerprint of described 3rd recording file, specifically comprises:
Use identical sample frequency to carry out monophony sampling to described second specified voice file and described 3rd recording file respectively, obtain the first monophony sampling and the sampling of the second monophony respectively;
Build corresponding first spectrogram according to described first monophony sampling, build corresponding second spectrogram according to described second monophony sampling;
Respectively band division filter is carried out to described first spectrogram and the second spectrogram, to make the frequency band only retaining predeterminated frequency scope in described first spectrogram and described second spectrogram;
Respectively wavelet decomposition is carried out to the frequency band of the predeterminated frequency scope in described first spectrogram and described second spectrogram, and gets the audio-frequency fingerprint of front N item small echo respectively as the second specified voice file and the audio-frequency fingerprint of the 3rd recording file of the predeterminated frequency scope in the first spectrogram after wavelet decomposition and described second spectrogram; Wherein, N is positive integer;
Calculate the min-hash value of the audio-frequency fingerprint of the second specified voice file and the audio-frequency fingerprint of the 3rd recording file respectively;
Search the most similitude of the min-hash value of the min-hash value of the audio-frequency fingerprint of the second specified voice file and the audio-frequency fingerprint of the 3rd recording file;
The similarity of the audio-frequency fingerprint of the second specified voice file and the audio-frequency fingerprint of described 3rd recording file is calculated according to described most similitude.
8. method according to claim 1 and 2, it is characterized in that, described electronic equipment is provided with microphone, described automatic testing cassete is provided with loudspeaker, described testing workstation can control the microphone on electronic equipment and the loudspeaker on automatic testing cassete, and described default quality inspection item is the single-tone detection of microphone;
Described testing workstation utilizes the default quality inspection item of automatic testing cassete to electronic equipment to detect, and obtains the actual detection data of described default quality inspection item, specifically comprises:
Utilize the loudspeaker on automatic testing cassete, testing workstation plays the single-tone file of the second predeterminated frequency;
The single-tone file of microphone to the second predeterminated frequency play that testing workstation controls on electronic equipment is recorded, and forms the 4th recording file;
Described testing workstation judges that described reality detects data and whether meets pre-conditioned, and if so, the quality inspection of the default quality inspection item of electronic equipment is passed through, and specifically comprises:
Whether the waveform that testing workstation detects described 4th recording file is the second predeterminated frequency, and if so, the single-tone detection of the microphone of described electronic equipment is passed through.
9. method according to claim 1 and 2, it is characterized in that, described electronic equipment is provided with microphone, described automatic testing cassete is provided with loudspeaker, described testing workstation can control the microphone on electronic equipment and the loudspeaker on automatic testing cassete, and described default quality inspection item is the impulse noise detection of microphone;
Described testing workstation utilizes the default quality inspection item of automatic testing cassete to electronic equipment to detect, and obtains the actual detection data of described default quality inspection item, specifically comprises:
Utilize the loudspeaker on automatic testing cassete, testing workstation plays the 3rd specified voice file;
The microphone that testing workstation controls on electronic equipment is recorded to the 3rd specified voice file play, and forms the 5th recording file;
Described testing workstation judges that described reality detects data and whether meets pre-conditioned, and if so, the quality inspection of the default quality inspection item of electronic equipment is passed through, and specifically comprises:
Testing workstation carries out impulse noise detection to described 5th recording file, to judge whether described 5th recording file exists impulsive noise, and if so, the impulse noise detection of microphone is passed through.
10. method according to claim 9, is characterized in that, described testing workstation carries out impulse noise detection to described 5th recording file, specifically comprises:
Utilization index weighted least-squares method carries out impulse noise detection to described 5th recording file.
11. methods according to claim 1 and 2, it is characterized in that, described electronic equipment is provided with microphone, described automatic testing cassete is provided with loudspeaker, described testing workstation can control the microphone on electronic equipment and the loudspeaker on automatic testing cassete, and described default quality inspection item is that the recording quality of microphone detects;
Described testing workstation utilizes the default quality inspection item of automatic testing cassete to electronic equipment to detect, and obtains the actual detection data of described default quality inspection item, specifically comprises:
Utilize the loudspeaker on automatic testing cassete, testing workstation plays the 4th specified voice file;
The microphone that testing workstation controls on electronic equipment is recorded to the 4th specified voice file play, and forms the 6th recording file;
Testing workstation calculates the audio-frequency fingerprint of described 4th specified voice file and described 6th recording file respectively;
Testing workstation calculates the similarity of the audio-frequency fingerprint of described 4th specified voice file and the audio-frequency fingerprint of described 6th recording file;
Described testing workstation judges that described reality detects data and whether meets pre-conditioned, and if so, the quality inspection of the default quality inspection item of electronic equipment is passed through, and specifically comprises:
Judge that whether the similarity of the audio-frequency fingerprint of described second specified voice file and the audio-frequency fingerprint of described 3rd recording file is more than the second predetermined threshold value, if so, the recording quality of microphone detects and passes through.
12. methods according to claim 11, is characterized in that, described testing workstation calculates the similarity of the audio-frequency fingerprint of described 4th specified voice file and the audio-frequency fingerprint of described 6th recording file, specifically comprises:
Use identical sample frequency to carry out monophony sampling to described 4th specified voice file and described 6th recording file respectively, obtain the 3rd monophony sampling and the sampling of the 4th monophony respectively;
Build corresponding 3rd spectrogram according to described 3rd monophony sampling, build corresponding 4th spectrogram according to described 4th monophony sampling;
Respectively band division filter is carried out to described 3rd spectrogram and the 4th spectrogram, to make the frequency band only retaining predeterminated frequency scope in described 3rd spectrogram and described 4th spectrogram;
Respectively wavelet decomposition is carried out to the frequency band of the predeterminated frequency scope in described 3rd frequency plot and described 4th spectrogram, and gets the audio-frequency fingerprint of front N item small echo respectively as the 4th specified voice file and the audio-frequency fingerprint of the 6th recording file of the predeterminated frequency scope in the 3rd frequency plot after wavelet decomposition and described 4th spectrogram; Wherein, N is positive integer;
Calculate the min-hash value of the audio-frequency fingerprint of the 4th specified voice file and the audio-frequency fingerprint of the 6th recording file respectively;
Search the most similitude of the min-hash value of the min-hash value of the audio-frequency fingerprint of the 4th specified voice file and the audio-frequency fingerprint of the 6th recording file;
The similarity of the audio-frequency fingerprint of the 4th specified voice file and the audio-frequency fingerprint of described 6th recording file is calculated according to described most similitude.
13. methods according to claim 1 and 2, is characterized in that, described electronic equipment comprises display screen, and described default quality inspection item is whether display screen has bad point;
Described testing workstation utilizes the default quality inspection item of automatic testing cassete to electronic equipment to detect, and obtains the actual detection data of described default quality inspection item, specifically comprises:
Testing workstation utilizes automatic testing cassete locating and displaying to shield the apex coordinate of corner;
Testing workstation according to described in be in the apex coordinate that display screen is in the electronic equipment framing display screen corner of display state;
Testing workstation scans the pixel value within the scope of the vertex matrix of described display screen corner;
Described testing workstation judges that described reality detects data and whether meets pre-conditioned, and if so, the quality inspection of the default quality inspection item of electronic equipment is passed through, and specifically comprises:
Testing workstation judges that whether the pixel value within the scope of the vertex matrix of described display screen corner is consistent, if so, display screen does not have bad point, if not, display screen has bad point.
14. methods according to claim 13, is characterized in that, described automatic testing cassete is provided with camera, and described testing workstation utilizes automatic testing cassete locating and displaying to shield the apex coordinate of corner, specifically comprises:
The display screen of testing workstation control electronic equipment carries out the display of preset mode, and described preset mode is display screen full screen display solid color, and the contrast of the shell rim color of described solid color and electronic equipment is greater than the 3rd predetermined threshold value;
The testing workstation camera collection controlled on automatic testing cassete is in the general image of the electronic equipment of display state;
Testing workstation determines the summit of display screen corner according to color contrast change in described general image;
Testing workstation calculates the apex coordinate of display screen corner.
15. methods according to claim 1 and 2, is characterized in that, described electronic equipment comprises display screen, and described default quality inspection item is that can display screen correctly show pre-set color;
Described testing workstation utilizes the default quality inspection item of automatic testing cassete to electronic equipment to detect, and obtains the actual detection data of described default quality inspection item, specifically comprises:
Testing workstation controls the full frame display carrying out pre-set color of display screen of electronic equipment;
The testing workstation camera collection controlled on automatic testing cassete is in the display image of display state;
Testing workstation according to described in be in display state display image obtain the actual color value of pre-set color of display screen display;
Described testing workstation judges that described reality detects data and whether meets pre-conditioned, and if so, the quality inspection of the default quality inspection item of electronic equipment is passed through, and specifically comprises:
Testing workstation judges that the actual color value of the pre-set color of described display is whether in the color value threshold range of described pre-set color, and if so, display screen correctly can show pre-set color.
The robotization quality inspection equipment of 16. 1 kinds of electronic equipments, is characterized in that, comprises testing workstation and automatic testing cassete,
Described automatic testing cassete is used for auxiliary described testing workstation and carries out quality inspection to electronic equipment;
Described testing workstation comprises storer and processor,
Described storer is for storing the logical order of the robotization quality inspection of method described in any one of claim 1-15;
Described processor, for calling the logical order in described storer, requires the method described in any one of 1-15 with enforcement of rights.
17. equipment according to claim 16, it is characterized in that, described automatic testing cassete is provided with the fixture for fixing described electronic equipment, described automatic testing cassete is also provided with loudspeaker, microphone and/or camera, and described loudspeaker, microphone and/or camera are by the control of described testing workstation.
The robotization quality inspection device of 18. 1 kinds of electronic equipments, is characterized in that, comprising:
Detecting unit, for utilizing the default quality inspection item of automatic testing cassete to electronic equipment to detect, obtains the actual detection data of described default quality inspection item;
Judging unit, for judging that described reality detects data and whether meets pre-conditioned, if so, the quality inspection of the default quality inspection item of electronic equipment is passed through.
19. devices according to claim 18, is characterized in that, also comprise:
Storage unit, when the judged result obtained for described judging unit is no, stores the actual detection data of described default quality inspection item.
20. devices according to claim 18 or 19, it is characterized in that, electronic equipment comprises display screen, and described detecting unit comprises:
Locator unit, for the apex coordinate utilizing automatic testing cassete locating and displaying to shield corner;
Scanning subelement, for scanning the pixel value within the scope of the vertex matrix of described display screen corner;
Described judging unit comprises:
First judgment sub-unit, whether consistent for judging the pixel value within the scope of the vertex matrix of described display screen corner, if so, display screen does not have bad point, if not, display screen has bad point.
21. devices according to claim 20, is characterized in that, described locator unit comprises:
Control display subelement, the display screen for controlling electronic equipment carries out the display of preset mode, and described preset mode is display screen full screen display solid color, and the contrast of the shell rim color of described solid color and electronic equipment is greater than the 3rd predetermined threshold value;
Control image acquisition subelement, be in the general image of the electronic equipment of display state for the camera collection controlled on automatic testing cassete;
Determine subelement, for determining the summit of display screen corner according to color contrast change in described general image;
Computation subunit, for calculating the apex coordinate of display screen corner.
22. devices according to claim 18 or 19, it is characterized in that, electronic equipment comprises display screen, and described detecting unit comprises:
Control display subelement, the full frame display carrying out pre-set color of the display screen for controlling electronic equipment;
Control image acquisition subelement, be in the display image of display state for the camera collection controlled on automatic testing cassete;
Obtain subelement, the display image for being in display state described in basis obtains the actual color value of the pre-set color of display screen display;
Described judging unit comprises:
Second judgment sub-unit, for judging that the actual color value of the pre-set color of described display is whether in the color value threshold range of described pre-set color, if so, display screen correctly can show pre-set color.
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