CN207473077U - A kind of transformer checking system based on image recognition technology - Google Patents
A kind of transformer checking system based on image recognition technology Download PDFInfo
- Publication number
- CN207473077U CN207473077U CN201721534653.3U CN201721534653U CN207473077U CN 207473077 U CN207473077 U CN 207473077U CN 201721534653 U CN201721534653 U CN 201721534653U CN 207473077 U CN207473077 U CN 207473077U
- Authority
- CN
- China
- Prior art keywords
- electrically connected
- unit
- acquisition module
- tester
- analog
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
Abstract
The application provides a kind of transformer checking system based on image recognition technology, including host computer, mutual-inductor tester, to-be-tested transformer tester, display and video camera, the host computer is electrically connected with the mutual-inductor tester, the mutual-inductor tester is electrically connected with the to-be-tested transformer tester, the to-be-tested transformer tester is electrically connected with the display, the video camera and the upper mechatronics.Video camera carries out acquisition of taking pictures to the ratio difference on display and angular difference value, and by processing, feature extraction and analog-to-digital conversion, the ratio difference and angular difference value that take are converted into the digital signal of host computer identification, host computer can be realized as automatically extracting the function with measurement data in this way, thus ensure the accuracy of working efficiency and testing result.
Description
Technical field
The application belongs to testing equipment field, and in particular to a kind of transformer checking system based on image recognition technology.
Background technology
The to-be-tested transformer tester progress technical performance inspection being mainly used for field application of transformer checking system
It is fixed, substantially it is exactly that the accuracy of mutual-inductor tester output valve to be measured is examined and determine.
The detection method of generally use is error of measurement formula, and error of measurement formula principle is by standard mutual inductor and to-be-tested transformer tester
Secondary voltage or electric current be sent to the differential circuit of mutual-inductor tester, then by difference ring section is taken to be re-fed into measurement links simultaneously
It is compared with the secondary work voltage or electric current of mutual inductor, provides tested mutual inductor for the ratio difference of standard mutual inductor and angle
Difference.
As shown in Figure 1, existing transformer checking system mainly include host computer 1, mutual-inductor tester 2 and it is to be measured mutually
Sensor tester 3, if to-be-tested transformer tester 3 is not met with the communication protocol of host computer 1 or agreement, host computer 1
It can not realize the function of automatically extracting with measurement data, therefore can not achieve automatic Verification.This just needs to take artificial detection method
It measures, to-be-tested transformer tester 3 itself output angle difference and than difference, and is shown in to-be-tested transformer tester 3
On display 4, manual record inferior horn difference and than difference, and the standard exported with mutual-inductor tester 2 is than difference and standard angle
Difference carries out numerical value comparison, and the verification result of transformer checking system is obtained according to comparing result.It is artificial carry out records of values and
Numerical value compares, since calibration operation amount is big, efficiency is low and easily artificial error, testing result cannot ensure.
Utility model content
The application provides a kind of transformer checking system based on image recognition technology, to solve part to-be-tested transformer school
Testing between instrument and host computer does not have communication protocol or agreement not to meet problem.
A kind of transformer checking system based on image recognition technology, including host computer, mutual-inductor tester, mutual inductance to be measured
Device tester, display and video camera;
The host computer is electrically connected with the mutual-inductor tester;
The mutual-inductor tester is electrically connected with the to-be-tested transformer tester;
The to-be-tested transformer tester is electrically connected with the display;
The video camera and the upper mechatronics.
Preferably, the mutual-inductor tester includes whole checking device and standard source;
The whole checking device is electrically connected respectively with the host computer and the standard source.
Preferably, the video camera includes camera, the first acquisition module, the first analog-digital converter and output unit;
The camera is electrically connected with first acquisition module, first acquisition module and first analog-to-digital conversion
Device is electrically connected, and first analog-digital converter is electrically connected with the output unit;
First acquisition module includes the first collecting unit, the first pretreatment unit and fisrt feature extraction unit,
First collecting unit is electrically connected with first pretreatment unit, and first pretreatment unit is carried with the fisrt feature
Unit is taken to be electrically connected.
Preferably, the video camera includes camera, the first acquisition module, the second acquisition module, Characteristic Contrast unit, the
One analog-digital converter and output unit;
The camera is electrically connected respectively with first acquisition module and second acquisition module, first acquisition
Module is electrically connected with the Characteristic Contrast unit, and second acquisition module is electrically connected with the Characteristic Contrast unit, the spy
Sign comparison unit is electrically connected with the first analog-digital converter, and first analog-digital converter is electrically connected with the output unit;
First acquisition module includes the first collecting unit, the first pretreatment unit and fisrt feature extraction unit,
First collecting unit is electrically connected with first pretreatment unit, and first pretreatment unit is carried with the fisrt feature
Unit is taken to be electrically connected;
Second acquisition module includes the second collecting unit, the second pretreatment unit and second feature extraction unit,
Second collecting unit is electrically connected with second pretreatment unit, and second pretreatment unit is carried with the second feature
Unit is taken to be electrically connected.
Preferably, the host computer includes the second analog-digital converter, CPU and display interface card;
Second analog-digital converter is electrically connected with the CPU, and the CPU is electrically connected with the display interface card, described
Display interface card is electrically connected with the display.
By above technical scheme it is found that no matter between to-be-tested transformer tester and host computer either with or without communication protocol, treat
Mutual-inductor tester is surveyed being shown over the display than difference and angular difference value, video camera is to the ratio difference and angular difference value on display
Acquisition of taking pictures is carried out, and by processing, feature extraction and analog-to-digital conversion, the ratio difference and angular difference value that take are converted into
The digital signal of position machine identification, such host computer can be realized as automatically extracting the function with measurement data.Therefore there is no need to
In the case of there is no communication protocol between to-be-tested transformer tester and host computer, go to measure using artificial means, thus
The accuracy of working efficiency and testing result is ensured.
Description of the drawings
Fig. 1 is existing sensor check system structure diagram;
Fig. 2 is the sensor check system structure diagram of the application;
Fig. 3 is the mutual-inductor tester structure diagram of the application;
Fig. 4 is a kind of structure diagram of camera acquisition image of the application;
Fig. 5 is the structure diagram of another camera acquisition image of the application;
Fig. 6 is the host computer structure diagram of the application.
Wherein:1- host computers, the second analog-digital converters of 11-, 12-CPU, 13- display interface cards;2- mutual-inductor testers,
The whole checking devices of 21-, 22- standard sources;3- to-be-tested transformer testers;4- displays;5- video cameras, 51- cameras, 52- first
Acquisition module, the first collecting units of 521-, the first pretreatment units of 522-, 523- fisrt feature extraction units, 53- second are acquired
Module, the second collecting units of 531-, the second pretreatment units of 532-, 533- second feature extraction units, 54- Characteristic Contrast lists
Member, the first analog-digital converters of 55-, 56- output units.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment shown in the embodiment of the present application, to the embodiment shown in the embodiment of the present application
In technical solution be clearly and completely described.
Please refer to Fig. 2 and Fig. 3, a kind of transformer checking system based on image recognition technology, including host computer 1, mutual inductance
Device tester 2, to-be-tested transformer tester 3, display 4 and video camera 5;
Host computer 1 is electrically connected with the mutual-inductor tester 2, mutual-inductor tester 2 and the to-be-tested transformer tester 3
Electrical connection, to-be-tested transformer tester 3 are electrically connected with the display 4, and video camera 5 is electrically connected with the host computer 1, host computer
1 for exporting communication instruction, and mutual-inductor tester 2 handles communication instruction, obtains standard deviation signal and stablizes letter
Number, standard deviation signal includes standard than difference signal and standard angle difference signal;
To-be-tested transformer tester 3 obtains difference signal, difference signal is included than difference for handling stabilization signal
Value signal and angular difference value signal, display 4 include shielding for receiving difference signal, and obtain difference, by obtained difference
On curtain, video camera 5 is used to shoot the difference of the display of display 4;
Host computer 1 is additionally operable to, to the standard deviation signal and difference signal calculating, obtain relative error ε.
Mutual-inductor tester 2 include whole checking device 21 and standard source 22, standard source 22 include normalized current mutual inductance and
Standard potential transformer;
Host computer 1 is connect with whole checking device 21 using RS232 serial communications, and 1 outputting communication order of host computer is transmitted to whole
Checking device 21, i.e. host computer 1 send out standard value and instruct to whole checking device 21, and whole checking device 21 receives instruction and exported according to instruction
Master die analog quantity signal, master die analog quantity signal transmission to to-be-tested transformer tester 3, to-be-tested transformer tester 3 measures whole
The master die analog quantity signal that checking device 21 is brought, measurement result obtain difference signal, and the output of to-be-tested transformer tester 3 should
Difference signal, and it is transmitted to display 4;
Whole checking device 21 is electrically connected with standard source 22, and standard source 22 is electrically connected with to-be-tested transformer tester 3, whole checking device
21 receive first 22 output signal of adjustment criteria source after order, and output signal is transmitted to host computer 1 through feedback circuit, until standard source
22 output stabilization signals, the stabilization signal of output are transmitted to to-be-tested transformer tester 3.Whole checking device 21 is defeated according to standard source 22
Go out stabilization signal and calculate standard deviation signal, is i.e. standard is than difference and standard angle difference, and standard deviation signal transmission extremely
Host computer 1;
Video camera 5 acquires the image that display 4 is shown, by feature recognition, the difference that image is shown is identified, and
The difference of identification, electric signal transmission is converted into host computer 1, host computer 1 compares difference and standard ratio difference according to program, with
And diagonal difference and standard angle difference are compared automatically, obtain result of calculation.
Such as standard is A% than difference, to-be-tested transformer tester 3 measures the analog quantity, and measurement result is to compare difference
B%, then the relative error of measurement result is ε=(B-A)/A*100%.If ε is more than the accurate of to-be-tested transformer tester 3
Rank is spent, just means that this 3 measurement data of to-be-tested transformer tester does not meet the requirement of transformer checking system, is underproof
Transformer checking system, it is on the contrary then qualified.
The difference shown in display 4 is identified using image identification, solves the verification of current portions to-be-tested transformer
There is no communication interface between instrument 3 and host computer 1 or do not meet communication protocol so as to which efficient communication cannot be established, it is impossible to realize
The problem of automatic Verification.
Specifically, please referring to Fig. 4, a kind of structure for camera acquisition image that the application provides, video camera 5 includes camera shooting
First 51, first acquisition module 52, the first analog-digital converter 55 and output unit 56, camera 51 and first acquisition module
52 electrical connections, the first acquisition module 52 are electrically connected with the first analog-digital converter 55, the first analog-digital converter 55 and output unit 56
Electrical connection;
It is single that first acquisition module 52 includes the first collecting unit 521, the first pretreatment unit 522 and fisrt feature extraction
Member 523, the first collecting unit 521 is electrically connected with the first pretreatment unit 522, and the first pretreatment unit 522 is carried with fisrt feature
Unit 523 is taken to be electrically connected;
The image transmitting that camera 51 is shot to first collecting unit 521, the first collecting unit 521 receive image into
Row processing obtains acquisition signal, and acquisition signal transmission to the first pretreatment unit 522, the first pretreatment unit 522 exports
Preprocessed signal be transmitted to the fisrt feature extraction unit 523, the feature that the fisrt feature extraction unit 523 exports carries
The number of winning the confidence is transmitted to first analog-digital converter 55, and the digital data transmission that first analog-digital converter 55 exports is to described
Output unit 56.
Video camera 5 has Image Acquisition and two big function of image procossing.Image acquisition process is:It is absorbed and regarded by camera 51
Frequency image, outputting standard pal video signal;Analog video signal is converted to the digital video signal of standard by Video Decoder
And caching is sent into, cache temporary video data;After treating Image Acquisition, DSP is read by external memory interface from caching
It takes image data and is stored in frame memory, for subsequent processing.
First link of pretreatment unit 522 first carries out image preprocessing, and its purpose is to remove effective image area
Domain reduces noise, so as to improve difference effectiveness of retrieval.After obtaining image, it is the segmentation for carrying out image first, extracts difference
Then foreground zone is again standardized image by calculating the method for mean pixel gray scale, make the gray scale of fingerprint image
In the range of setting contrast a to unified standard;
The filtering that first link of pretreatment unit 522 second carries out image enhances, also right after the image enhanced
Image carries out binaryzation and micronization processes.Binaryzation is that gray level image is made to become black white image, by image on gray-level from
256 colors originally are reduced to 2 color of black and white, and amount of image information is compressed;Refinement is opened up not changing original image pixel
It flutters under conditions of connection relation, remains the main information of streakline, being distributed the crestal line of image becomes simple and clear, is characterized
Extraction and index are prepared.
The image pre-processed is carried out feature extraction by fisrt feature extraction unit 523, including fourier coefficient feature, wheel
Wide feature, center of gravity and center of gravity moment characteristics, thick meshed feature and first stain position feature, the feature extraction of numeric character in image
Afterwards, character recognition is carried out again to its result with neural network, to character judgement and the output of result, the result of output passes through first
Analog-digital converter 55 is converted to the digital signal that host computer 1 can identify.
Please refer to Fig. 5, a kind of structure for camera acquisition image that the application provides, video camera 5 includes camera 51, the
One acquisition module 52, the second acquisition module 53, Characteristic Contrast unit 54, the first analog-digital converter 55 and output unit 56, take the photograph
It is electrically connected respectively with the first acquisition module 52 and the second acquisition module 53 as first 51, the first acquisition module 52 and Characteristic Contrast unit
54 electrical connections, the second acquisition module 53 are electrically connected with Characteristic Contrast unit 54,54 and first analog-digital converter of Characteristic Contrast unit
55 electrical connections, the first analog-digital converter 55 are electrically connected with output unit 56;
It is single that first acquisition module 52 includes the first collecting unit 521, the first pretreatment unit 522 and fisrt feature extraction
Member 523, the first collecting unit 521 is electrically connected with the first pretreatment unit 522, and the first pretreatment unit 522 is carried with fisrt feature
Unit 523 is taken to be electrically connected;
It is single that second acquisition module 53 includes the second collecting unit 531, the second pretreatment unit 532 and second feature extraction
Member 533, the second collecting unit 531 is electrically connected with the second pretreatment unit 532, and the second pretreatment unit 532 is carried with second feature
Unit 533 is taken to be electrically connected;
For the image transmitting that the camera 51 is shot to first collecting unit 521, first collecting unit 521 is defeated
The preprocessed signal that the acquisition signal transmission gone out is exported to first pretreatment unit 522, first pretreatment unit 522
It is transmitted to the fisrt feature extraction unit 523;
The image that the camera 51 is shot also is transmitted to second collecting unit 531, second collecting unit 531
The acquisition signal transmission of output is to second pretreatment unit 532, the pretreatment letter that second pretreatment unit 532 exports
Number it is transmitted to the second feature extraction unit 533;
The feature extracted signals that fisrt feature extraction unit 523 exports are transmitted to Characteristic Contrast unit 54, and second feature carries
The feature extracted signals that unit 533 exports is taken also to be transmitted to Characteristic Contrast unit 54;
The numerical value and the numerical value of the second acquisition module 53 acquisition that Characteristic Contrast unit 54 acquires the first acquisition module 52 into
Row compares, if the numerical value of acquisition is consistent, the data transfer of acquisition to the first analog-digital converter 55 is converted to digital signal, passes through
Output unit 56 is transmitted to host computer 1;If the numerical value of acquisition, comparison result is inconsistent, re-starts gatherer process, in this way can be with
Ensure that the data of acquisition are authentic and valid.
Please refer to Fig. 6, a kind of structure for host computer 1 that the application provides, a kind of knot for host computer 1 that the application provides
Structure, host computer 1 include the second analog-digital converter 11, CPU12 and display interface card 13, the second analog-digital converter 11 and CPU12
Electrical connection, CPU12 are electrically connected with display interface card 13, and display interface card 13 is electrically connected with display 4;
The standard deviation signal that mutual-inductor tester 2 exports passes through with the difference signal that to-be-tested transformer tester 3 exports
The processing of programmable amplifier is adjusted to the signal for being suitble to analog-digital converter conversion, and is transmitted to the second analog-digital converter 11;
Second analog-digital converter 11 is converted into digital signal, and digital signal is passed to difference signal and standard deviation signal
CPU12 is transported to, CPU12 calculates the digital signal transmitted, obtains the relative error ε of measurement result, relative error ε
It is handled by display interface card 13, and is shown in display 4.
Those skilled in the art will readily occur to the application its after considering specification and putting into practice application disclosed herein
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the application, these modifications, purposes or
Person's adaptive change follows the general principle of the application and including the undocumented common knowledge in the art of the application
Or conventional techniques.Description and embodiments are considered only as illustratively, and the true scope and spirit of the application are by following
Claim is pointed out.
It should be understood that the precision architecture that the application is not limited to be described above and be shown in the drawings, and
And various modifications and changes may be made without departing from the scope thereof.Scope of the present application is only limited by appended claim.
Claims (5)
1. a kind of transformer checking system based on image recognition technology, it is characterised in that:Including host computer (1), mutual inductor school
Test instrument (2), to-be-tested transformer tester (3), display (4) and video camera (5);
The host computer (1) is electrically connected with the mutual-inductor tester (2);
The mutual-inductor tester (2) is electrically connected with the to-be-tested transformer tester (3);
The to-be-tested transformer tester (3) is electrically connected with the display (4);
The video camera (5) is electrically connected with the host computer (1).
2. the transformer checking system according to claim 1 based on image recognition technology, it is characterised in that:The mutual inductance
Device tester (2) includes whole checking device (21) and standard source (22);
The whole checking device (21) is electrically connected respectively with the host computer (1) and the standard source (22).
3. the transformer checking system according to claim 1 or 2 based on image recognition technology, it is characterised in that:It is described
Video camera (5) includes camera (51), the first acquisition module (52), the first analog-digital converter (55) and output unit (56);
The camera (51) is electrically connected with first acquisition module (52), first acquisition module (52) and described first
Analog-digital converter (55) is electrically connected, and first analog-digital converter (55) is electrically connected with the output unit (56);
First acquisition module (52) includes the first collecting unit (521), the first pretreatment unit (522) and fisrt feature
Extraction unit (523), first collecting unit (521) are electrically connected with first pretreatment unit (522), and described first is pre-
Processing unit (522) is electrically connected with the fisrt feature extraction unit (523).
4. the transformer checking system according to claim 1 or 2 based on image recognition technology, it is characterised in that:It is described
Video camera (5) includes camera (51), the first acquisition module (52), the second acquisition module (53), Characteristic Contrast unit (54),
One analog-digital converter (55) and output unit (56);
The camera (51) is electrically connected respectively with first acquisition module (52) and second acquisition module (53), described
First acquisition module (52) is electrically connected with the Characteristic Contrast unit (54), second acquisition module (53) and the feature pair
It is electrically connected than unit (54), the Characteristic Contrast unit (54) is electrically connected with the first analog-digital converter (55), first modulus
Converter (55) is electrically connected with the output unit (56);
First acquisition module (52) includes the first collecting unit (521), the first pretreatment unit (522) and fisrt feature
Extraction unit (523), first collecting unit (521) are electrically connected with first pretreatment unit (522), and described first is pre-
Processing unit (522) is electrically connected with the fisrt feature extraction unit (523);
Second acquisition module (53) includes the second collecting unit (531), the second pretreatment unit (532) and second feature
Extraction unit (533), second collecting unit (531) are electrically connected with second pretreatment unit (532), and described second is pre-
Processing unit (532) is electrically connected with the second feature extraction unit (533).
5. the transformer checking system according to claim 1 based on image recognition technology, it is characterised in that:It is described upper
Machine (1) includes the second analog-digital converter (11), CPU (12) and display interface card (13);
Second analog-digital converter (11) is electrically connected with the CPU (12), the CPU (12) and the display interface card (13)
Electrical connection, the display interface card (13) are electrically connected with the display (4).
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201721534653.3U CN207473077U (en) | 2017-11-16 | 2017-11-16 | A kind of transformer checking system based on image recognition technology |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201721534653.3U CN207473077U (en) | 2017-11-16 | 2017-11-16 | A kind of transformer checking system based on image recognition technology |
Publications (1)
Publication Number | Publication Date |
---|---|
CN207473077U true CN207473077U (en) | 2018-06-08 |
Family
ID=62261015
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201721534653.3U Active CN207473077U (en) | 2017-11-16 | 2017-11-16 | A kind of transformer checking system based on image recognition technology |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN207473077U (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108983139A (en) * | 2018-08-28 | 2018-12-11 | 云南电网有限责任公司电力科学研究院 | A kind of fault detector test macro |
CN109331441A (en) * | 2018-11-19 | 2019-02-15 | 吉林师范大学 | A kind of callisthenics body rectificative training device and training method |
CN111289932A (en) * | 2020-03-30 | 2020-06-16 | 云南电网有限责任公司电力科学研究院 | Automatic calibration device of insulating oil dielectric strength tester |
CN111693922A (en) * | 2020-08-04 | 2020-09-22 | 云南电力技术有限责任公司 | Automatic calibration system of impedance tester |
CN115656910A (en) * | 2022-12-27 | 2023-01-31 | 太原山互科技有限公司 | Remote calibration system, method and equipment for mutual inductor calibration instrument |
-
2017
- 2017-11-16 CN CN201721534653.3U patent/CN207473077U/en active Active
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108983139A (en) * | 2018-08-28 | 2018-12-11 | 云南电网有限责任公司电力科学研究院 | A kind of fault detector test macro |
CN109331441A (en) * | 2018-11-19 | 2019-02-15 | 吉林师范大学 | A kind of callisthenics body rectificative training device and training method |
CN111289932A (en) * | 2020-03-30 | 2020-06-16 | 云南电网有限责任公司电力科学研究院 | Automatic calibration device of insulating oil dielectric strength tester |
CN111693922A (en) * | 2020-08-04 | 2020-09-22 | 云南电力技术有限责任公司 | Automatic calibration system of impedance tester |
CN115656910A (en) * | 2022-12-27 | 2023-01-31 | 太原山互科技有限公司 | Remote calibration system, method and equipment for mutual inductor calibration instrument |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN207473077U (en) | A kind of transformer checking system based on image recognition technology | |
CN107328776B (en) | A kind of rapid detection method of immune chromatography test card | |
CN105975979B (en) | A kind of instrument detecting method based on machine vision | |
CN110119680A (en) | A kind of electrical cabinet wiring automatic errordetecting system based on image recognition | |
CN113409284B (en) | Circuit board fault detection method, device, equipment and storage medium | |
CN109858551A (en) | Method, apparatus, equipment and medium based on image recognition detection structure stress | |
CN110298840A (en) | A kind of yarn faults detection method based on image | |
CN113688817A (en) | Instrument identification method and system for automatic inspection | |
CN114119489A (en) | Automatic detection method for excess of electric connector and needle retracting and needle reversing defects | |
CN109255785A (en) | A kind of bearing open defect detection system | |
CN110427943A (en) | A kind of intelligent electric meter technique for partitioning based on R-CNN | |
CN116681979A (en) | Power equipment target detection method under complex environment | |
KR102174424B1 (en) | Method for Inspecting Component basesd Server and system and apparatus therefor | |
CN109214292A (en) | A kind of picked angle recognition method and apparatus of human body based on BP neural network | |
CN106019145B (en) | A kind of external on-load switch identifying system of electric energy meter and method | |
CN105371888B (en) | A kind of satellite electric connector grafting checking system and method based on machine vision | |
You | PCB defect detection based on generative adversarial network | |
CN110059573A (en) | Wild ginseng based on image recognition is classified calibration method | |
CN116993725B (en) | Intelligent patch information processing system of flexible circuit board | |
CN112906602A (en) | Automatic identification device and identification method for electricity meter of power distribution cabinet based on image processing | |
CN107907546A (en) | A kind of defects of vision detection method and system based on intelligent mobile terminal | |
CN112284509A (en) | Bridge structure vibration mode measuring method based on mobile phone video | |
CN110579184A (en) | Product appearance online detection device and use method thereof | |
CN109448012A (en) | A kind of method for detecting image edge and device | |
CN112508891A (en) | AI intelligent defect identification magnetic powder flaw detection system based on mobile phone and method thereof |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
GR01 | Patent grant | ||
GR01 | Patent grant |