CN110238080A - Mobile phone screen defect detecting system based on ultrasonic atomization - Google Patents
Mobile phone screen defect detecting system based on ultrasonic atomization Download PDFInfo
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- CN110238080A CN110238080A CN201910533341.8A CN201910533341A CN110238080A CN 110238080 A CN110238080 A CN 110238080A CN 201910533341 A CN201910533341 A CN 201910533341A CN 110238080 A CN110238080 A CN 110238080A
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- mobile phone
- phone screen
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- detecting system
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/02—Measures preceding sorting, e.g. arranging articles in a stream orientating
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
- B07C5/362—Separating or distributor mechanisms
Abstract
The invention discloses a kind of Mobile phone screen defect detecting system based on ultrasonic atomization, including sequentially connected feeding section, processing detection section and discharge zone, roller-way transmission line is provided in the processing detection section and discharge zone, stripper loop is provided on the roller-way of the roller-way transmission line, spray chamber and vision-based detection room are disposed with along Mobile phone screen direction of transfer in the processing detection section, ion wind component and spray assembly are disposed with along Mobile phone screen direction of transfer in the spray chamber, camera and light source are provided in the vision-based detection room, light sources project image on the light source and camera cooperation shooting Mobile phone screen, multi-spindle machining hand is provided in the feeding section and discharge zone, Mobile phone screen is reprinted in processing detection section or by Mobile phone screen and is reprinted in bad section by the multi-spindle machining hand, described bad section is arranged in discharge zone side.Present invention preparation difficulty is small, at low cost, and precision is high, greatly improves production efficiency.
Description
Technical field
The present invention relates to mobile phone screen production fields, and in particular to a kind of Mobile phone screen defect inspection based on ultrasonic atomization
Examining system.
Background technique
Mobile phone screen is also referred to as display screen, for showing image and color.Screen size is according to the diagonal line computation of screen, usually
With inch (inch) office, refer to the diagonal length of screen.Screen material draws increasingly popular, the Mobile phone screen with mobile phone color screen
The material of curtain also increasingly seems important.
And mobile phone screen is when in use, the waterproof layer or oleophobic layer for screen surface be also it is extremely crucial, add
The quality of work directly affects usage experience sense.
Existing detection is generally more using artificial judgment, also has part to be sentenced using modes such as optical reflection, refractions
Disconnected, overall detection structure design is complicated, and preparation difficulty is big and at high cost.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of Mobile phone screen defect detecting system based on ultrasonic atomization,
It is small to prepare difficulty, at low cost, precision is high, greatly improves production efficiency.
The Mobile phone screen defects detection based on ultrasonic atomization that in order to solve the above-mentioned technical problems, the present invention provides a kind of
System, including sequentially connected feeding section, processing detection section and discharge zone are respectively provided in the processing detection section and discharge zone
There is roller-way transmission line, stripper loop is provided on the roller-way of the roller-way transmission line, is transmitted in the processing detection section along Mobile phone screen
Direction is disposed with spray chamber and vision-based detection room, is disposed with ion along Mobile phone screen direction of transfer in the spray chamber
Wind component and spray assembly are provided with camera and light source, the light source and camera cooperation shooting mobile phone in the vision-based detection room
Light sources project image on screen, is provided with multi-spindle machining hand in the feeding section and discharge zone, and the multi-spindle machining hand is by hand
Machine screen is reprinted in processing detection section or by Mobile phone screen and is reprinted in bad section, and described bad section is arranged in discharge zone side.
Further, processing detection section processing method the following steps are included:
Mobile phone screen surfaces are cleaned and are destaticed by ion wind component by step 1)；
Step 2) passes through spray assembly in mobile phone screen surfaces atomized water spray, and in Mobile phone screen surface detention；
Step 3) is using camera and light source is cooperated to carry out Image Acquisition；
The image that step 4) acquires camera pre-processes, and is first split operation to image, to interested region
Retained, obtains detection zone；
Step 5) carries out threshold value setting to the gray value of image, and the screening of pixel is then carried out to detection zone, passes through setting
Threshold value, screen domain to be treated；
Wherein threshold value selects gray value to meet the pixels of the following conditions from input picture:
MinGray≤G≤MaxGray；
All characteristic points for meeting the image of condition are all used as a region to return；When the interval with multiple gray values,
Then an individual region is returned to for each interval；
When area image is polar plot, using the length of polar plot as judgment basis, obtain screening to be treated
Domain；
Step 6) is smoothed the image in domain to be treated using Gauss algorithm, and smooth effect is with filter
The increase of wave operator and increase, and use following filter:
Judge the image after smoothing processing, and classify whether close from classification results screening current phone screen
Lattice；When Mobile phone screen is unqualified, substandard product is taken away using multi-spindle machining hand, completes screening.
Further, in segmented image, by image cut one or more region, region is indicated by rectangle；
When rectangle is divided, meets all images segmentation with height by adjusting width and each rectangle size is equal；When
The size in region is just split when being at least 1.5 times of the given rectangle size of parameter.
Further, it using defect as test sample, after acquiring bulk information, is stored in defect sample library, and pass through
Different sample deep learning algorithms carries out defects detection and adjusts Gauss algorithm.
Further, when acquiring image, single Mobile phone screen acquires image three times, when Mobile phone screen integrally enters acquisition zone
When acquire first time image, when Mobile phone screen be located at acquisition district center when acquire second of image, when Mobile phone screen and acquisition zone boundary
When contacting and removing acquisition zone, third time image is acquired.
Further, the multi-spindle machining is provided with crawl sucker on hand.
Further, it is provided with humidity measurement instrument and exhaust fan in the spray chamber, when humidity reaches standard value, taken out
Blower takes extra water mist away.
Further, the spraying room pressure is less than vision-based detection room.
Beneficial effects of the present invention:
Projection is carried out on mirror surface or reflective surface Mobile phone screen using light source and cooperates acquired projections vision with camera,
The image of fault location can quickly and be accurately obtained, to meet judgement demand, improve the degree of automation, improve production energy
Power.
Detailed description of the invention
Fig. 1 is overall structure diagram of the invention；
Fig. 2 is detection part structural schematic diagram of the invention；
Fig. 3 is roller-way partial schematic diagram of the present invention；
Fig. 4 is overhaul flow chart of the present invention；
Schematic diagram when Fig. 5 is present invention segmentation；
Fig. 6 is the schematic diagram after the present invention chooses and screens to parts of images in Fig. 5；
Fig. 7 is the present invention to the schematic diagram after Fig. 6 optimization；
Fig. 8 is the schematic diagram that the present invention repeatedly takes pictures.
Specific embodiment
The present invention will be further explained below with reference to the attached drawings and specific examples, so that those skilled in the art can
It to better understand the invention and can be practiced, but illustrated embodiment is not as a limitation of the invention.
Referring to figs. 1 to shown in Fig. 3, an implementation of the Mobile phone screen defect detecting system of the invention based on ultrasonic atomization
Example, including sequentially connected feeding section 1, processing detection section 2 and discharge zone 3 are provided with roller in processing detection section and discharge zone
Road transmission line 4 is provided with stripper loop 5 on the roller-way of roller-way transmission line, successively sets in processing detection section along Mobile phone screen direction of transfer
It is equipped with spray chamber 6 and vision-based detection room 7, ion wind component 8 is disposed with along Mobile phone screen direction of transfer in spray chamber and is sprayed
Component 9 is provided with camera 10 and light source 11, the light sources project on light source and camera cooperation shooting Mobile phone screen in vision-based detection room
Multi-spindle machining hand 12 is provided in image, feeding section and discharge zone, multi-spindle machining hand reprints Mobile phone screen to processing detection section
Interior or reprint Mobile phone screen in bad section 13, bad section is arranged in discharge zone side.
In use, Mobile phone screen is mounted in Revolving disc in advance, the multi-spindle machining hand of feeding section grabs Mobile phone screen from charging tray
Onto roller-way transmission line, multiple Mobile phone screens orderly can be separately placed on roller-way transmission line, be limited using stripper loop
Position, the locating effect with higher when acquiring image are convenient for subsequent accurately segmented image, and reducing Mobile phone screen skew causes
Image flame detection difficulty；Padded component can also be installed in Mobile phone screen bottom, the irradiation of light source avoids being stopped by stripper loop；When
So or stainless (steel) wire band pipeline, stripper loop support stainless (steel) wire；
Mobile phone screen enters spray chamber, and Mobile phone screen is first blown ion wind in spray chamber and is destaticed, then atomized water spray, water mist by
Ultrasonic humidifier generates, and continues to spray one layer of very thin water mist on mobile phone screen through ultrasonic spray nozzle (water temperature is adjustable).
Subsequent mobile phone screen, which enters in vision-based detection room, detects state of the water mist on mobile phone screen, and records NG material, works as mobile phone
After screen enters discharge zone, non-defective unit continues to transmit, and defective products is crawled in bad section.Wherein, vision-based detection room pressure
Greater than spraying room pressure, it is ensured that camera lens, which does not have steam, influences detection, has humidity detector in each operating room, sprays
There is fog exhaust pipe above fog chamber, fog exhaust pipe is connect with exhaust fan, and when humidity reaches standard value, exhaust fan can continue superfluous water
Mist is taken away, makes in spray chamber moisture constant in a minizone；Multi-spindle machining is provided with crawl sucker 14 on hand, does not hurt hands machine
Screen.
Referring to shown in Fig. 4, the judgement processing method based on said mechanism that the present invention also provides a kind of mainly passes through throwing
The detection of shadow formula, is imaged the screen with moisture film.And it is handled by later period algorithm.Due to the presence of waterproof layer, water droplet
It will not be coagulated together under the action of waterproof layer, but the small water droplet for being dispersed into many exists.Exist without waterproof layer
Place be fault location, water droplet will be coagulated together, and form the water stain of major part.In the picture, water mist part and water
Stain part has biggish intensity contrast, apparent can be gone out by algorithm card.Other processing on Mobile phone screen leave simultaneously
Defect shape also has diversity and scrambling, also using this method can judge bad.
Specifically, the following steps are included:
Mobile phone screen surfaces are cleaned and destaticed by ion wind component, the impurity such as dust granule are taken out；
Then it forms graininess in mobile phone screen surfaces atomized water spray by spray assembly and is attached on mobile phone screen；
Then it uses camera and light source is cooperated to carry out Image Acquisition；
Shown in residue head 5, then the image of camera acquisition is pre-processed, operation first is split to image, to sense
The region of interest is retained, and detection zone is obtained；
In segmented image, by image cut one or more region, region is indicated by rectangle, the quantization size of rectangle
It is determined by the pixel coordinate and size of its definition；In the case where rectangular area is very big, if can disappear to whole region processing
Great memory is consumed, and the processing time also can be relatively slow, and usual processing mode is input area to be divided into width multiplied by height
Rectangular area.
When rectangle is divided, meets all images segmentation with height by adjusting width and each rectangle size is equal；When
The size in region is just split when being at least 1.5 times of the given rectangle size of parameter.
Referring to shown in Fig. 6, threshold value setting is carried out to the gray value of image, the screening of pixel is then carried out to detection zone, is led to
The threshold value for crossing setting, screens domain to be treated；
Wherein threshold value selects gray value to meet the pixels of the following conditions from input picture:
MinGray≤G≤MaxGray；
All characteristic points for meeting the image of condition are all used as a region to return；When the interval with multiple gray values,
Then an individual region is returned to for each interval；
When area image is polar plot, using the length of polar plot as judgment basis, obtain screening to be treated
Domain；
Referring to shown in Fig. 7, the image in domain to be treated is smoothed using Gauss algorithm, smooth effect
Increase with the increase of filter operator, and use following filter (sigma value of Gaussian function is indicated with bracket):
Judge the image after smoothing processing, and classify whether close from classification results screening current phone screen
Lattice；When Mobile phone screen is unqualified, substandard product is taken away using multi-spindle machining hand, completes screening.
Processing for boundary, the gray value of image has the influence of part at image boundary, therefore calculates with Gaussian image
Method processing is on the contrary, the relationship between filter mask size and the analog value of Sigma's parameter is linear.Gaussian filter exists
It is executed in OpenCL equipment for the image type of all supports.Gauss operator under different degree of optimization, can be in processing
Between and processing result on have certain optimization, therefore the extremely important processing mode on image procossing.It is smooth in gaussian filtering
After processing, effect is apparent.
In order to improve inspection optimization effect, using defect as test sample, after acquiring bulk information, it is stored in defect sample
In product library, and defects detection is carried out by different sample deep learning algorithms and adjusts Gauss algorithm, preferably examined with reaching
Survey precision.
Referring to shown in Fig. 8, when acquiring image, single Mobile phone screen acquires image three times, when Mobile phone screen integrally enters acquisition
First time image a is acquired when area, second of image b is acquired when Mobile phone screen is located at acquisition district center, when Mobile phone screen and acquisition zone
Borderless contact and when removing acquisition zone, acquires third time image c.Wherein first time image is mainly used for moving direction head end
Side Image Acquisition and judge, third time image is mainly used for carrying out Image Acquisition to the side of moving direction tail end
And judge, it is suitble to the detection of 2.5D and 3D Mobile phone screen, improves detection accuracy and the scope of application.
Above embodiments are only to absolutely prove preferred embodiment that is of the invention and being lifted, protection scope of the present invention
It is without being limited thereto.Those skilled in the art's made equivalent substitute or transformation on the basis of the present invention, of the invention
Within protection scope.Protection scope of the present invention is subject to claims.
Claims (8)
1. a kind of Mobile phone screen defect detecting system based on ultrasonic atomization, which is characterized in that including sequentially connected feeding section,
Processing detection section and discharge zone are provided with roller-way transmission line, the roller-way transmission line in the processing detection section and discharge zone
Roller-way on be provided with stripper loop, is disposed with spray chamber and vision inspection along Mobile phone screen direction of transfer in the processing detection section
Room is surveyed, is disposed with ion wind component and spray assembly, the vision-based detection along Mobile phone screen direction of transfer in the spray chamber
Interior is provided with camera and light source, the light sources project image on the light source and camera cooperation shooting Mobile phone screen, the feeding section
Be provided with multi-spindle machining hand in discharge zone, the multi-spindle machining hand reprints Mobile phone screen in processing detection section or by hand
Machine screen is reprinted in bad section, and described bad section is arranged in discharge zone side.
2. the Mobile phone screen defect detecting system based on ultrasonic atomization as described in claim 1, which is characterized in that it handles inspection
Survey section processing method the following steps are included:
Mobile phone screen surfaces are cleaned and are destaticed by ion wind component by step 1)；
Step 2) passes through spray assembly in mobile phone screen surfaces atomized water spray, and in Mobile phone screen surface detention；
Step 3) is using camera and light source is cooperated to carry out Image Acquisition；
The image that step 4) acquires camera pre-processes, and is first split operation to image, carries out to interested region
Retain, obtains detection zone；
Step 5) carries out threshold value setting to the gray value of image, and the screening of pixel is then carried out to detection zone, passes through the threshold of setting
Value, screens domain to be treated；
Wherein threshold value selects gray value to meet the pixels of the following conditions from input picture:
MinGray≤G≤MaxGray；
All characteristic points for meeting the image of condition are all used as a region to return；When the interval with multiple gray values, then for
Each interval returns to an individual region；
When area image is polar plot, using the length of polar plot as judgment basis, obtain screening domain to be treated；
Step 6) is smoothed the image in domain to be treated using Gauss algorithm, and smooth effect is with filter operator
Increase and increase, and use following filter:
Image after smoothing processing is judged, and is classified, it is whether qualified from classification results screening current phone screen；When
When Mobile phone screen is unqualified, substandard product is taken away using multi-spindle machining hand, completes screening.
3. the Mobile phone screen defect detecting system based on ultrasonic atomization as claimed in claim 2, which is characterized in that in segmentation figure
When picture, by image cut one or more region, region is indicated by rectangle；
When rectangle is divided, meets all images segmentation with height by adjusting width and each rectangle size is equal；Work as region
Size be just split when being at least 1.5 times of the given rectangle size of parameter.
4. the Mobile phone screen defect detecting system based on ultrasonic atomization as claimed in claim 2, which is characterized in that make defect
It is stored in defect sample library after acquiring bulk information for test sample, and is carried out by different sample deep learning algorithms
Defects detection simultaneously adjusts Gauss algorithm.
5. the Mobile phone screen defect detecting system based on ultrasonic atomization as claimed in claim 2, which is characterized in that scheme in acquisition
When picture, single Mobile phone screen acquires image three times, first time image is acquired when Mobile phone screen integrally enters acquisition zone, when Mobile phone screen position
Second of image is acquired when acquiring district center, when Mobile phone screen and acquisition zone borderless contact and when removing acquisition zone, acquires third
Secondary image.
6. the Mobile phone screen defect detecting system based on ultrasonic atomization as described in claim 1, which is characterized in that the multiaxis
Crawl sucker is provided on manipulator.
7. the Mobile phone screen defect detecting system based on ultrasonic atomization as described in claim 1, which is characterized in that described spraying
Interior is provided with humidity measurement instrument and exhaust fan, and when humidity reaches standard value, exhaust fan takes extra water mist away.
8. the Mobile phone screen defect detecting system based on ultrasonic atomization as described in claim 1, which is characterized in that described spraying
Room pressure is less than vision-based detection room.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910533341.8A CN110238080A (en) | 2019-06-19 | 2019-06-19 | Mobile phone screen defect detecting system based on ultrasonic atomization |
| PCT/CN2019/101306 WO2020252879A1 (en) | 2019-06-19 | 2019-08-19 | Mobile phone screen defect detection system based on ultrasonic spray |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910533341.8A CN110238080A (en) | 2019-06-19 | 2019-06-19 | Mobile phone screen defect detecting system based on ultrasonic atomization |
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| CN110238080A true CN110238080A (en) | 2019-09-17 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201910533341.8A Pending CN110238080A (en) | 2019-06-19 | 2019-06-19 | Mobile phone screen defect detecting system based on ultrasonic atomization |
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| WO (1) | WO2020252879A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112945977A (en) * | 2021-02-09 | 2021-06-11 | 苏州天准科技股份有限公司 | Detection equipment for surface defects of screen |
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| CN1847831A (en) * | 2005-04-12 | 2006-10-18 | 比亚迪股份有限公司 | Plane fault detecting method |
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| WO2020252879A1 (en) | 2020-12-24 |
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