CN110567989A - shielding glass defect detection method - Google Patents
shielding glass defect detection method Download PDFInfo
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- CN110567989A CN110567989A CN201910830651.6A CN201910830651A CN110567989A CN 110567989 A CN110567989 A CN 110567989A CN 201910830651 A CN201910830651 A CN 201910830651A CN 110567989 A CN110567989 A CN 110567989A
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- glass
- shielding glass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/958—Inspecting transparent materials or objects, e.g. windscreens
Abstract
the invention relates to a method for automatically detecting defects of shielding glass by using a machine vision technology, which solves the problem of difficulty in detecting the defects inside and outside the shielding glass and comprises the following steps: a uniform background illumination mode for detecting discoloration, large-sized defects, and the like; a parallel light illumination mode for detecting small-sized defects; the detection method of the glass defect, control multiple light sources to carry on the single-sided or two-sided detection to the shielding glass; the method for checking and accepting the glass defects comprises the steps of selecting the defects on a software interface according to a detected defect result, indicating the positions of the defects on the glass by using an electric holder laser and carrying out manual judgment. The method can be used for comprehensively detecting the glass, and the safety of using the shielding glass is improved.
Description
Technical Field
The invention relates to a method and a system for detecting defects of shielding glass, in particular to a method for automatically detecting defects of shielding glass products and glass original sheets by utilizing a machine vision technology to collect images.
Background
Electromagnetic radiation is generated by the movement of electromagnetic energy in space due to the movement of electric charges, and is a phenomenon in which electromagnetic waves are emitted or leaked into the air. With the development of the electric and electronic technology in the world and the application of electronic products such as mobile phones and computers, the electromagnetic environment in human life is more and more complex and diversified, and the influence of electromagnetic radiation on people is more and more serious. Electromagnetic wave radiation has been listed as a fourth environmental pollution source by the world health organization, which not only affects the work of many electronic devices and the normal operation of related companies, but also has great harm to human body. Meanwhile, in the military application field, electromagnetic radiation may cause leakage of national confidential information. Therefore, electromagnetic shielding is important to eliminate the harm caused by electromagnetic radiation.
Electromagnetic shielding is a method of using a shielding object to organize electromagnetic wave propagation, i.e. to enclose an electromagnetic interference source and effectively prevent electromagnetic energy from being transmitted from one side of the shielding material to the other. As an effective material for electromagnetic shielding, the following requirements are satisfied: the shielding material has continuous conductivity and the conductors within the material cannot be directly penetrated.
through the deep research on the electromagnetic shielding technology, researchers develop a shielding glass for the safety of life and property of people to shield signal interference. The electromagnetic shielding glass is treated by a special process, and a conductive coating is covered on the surface of the glass or a special medium is clamped in the glass, so that the electromagnetic wave is blocked and attenuated, and the effects of blocking the electromagnetic wave from penetrating, protecting personal national information and the like are achieved. The shielding glass must have good light transmission and visibility, and the image passing through the shielding glass has the characteristics of high fidelity and high definition. The shielding glass mainly comprises shielding glass with a metal wire mesh sandwiched therebetween, coated shielding glass, shielding glass with a coated glass and a metal wire mesh sandwiched therebetween, and the like.
In order to play a role of the shielding glass, the integrity of the shielding glass is ensured as much as possible, and flaws are avoided, so that the defect detection of the shielding glass is an important link. In the production process, the shielding glass with the detected defects can be returned to a factory for re-processing; in long-term application, the used shielding glass is detected, and the defects can be timely replaced when found. Especially in the military application field, the defect of the shielding glass can be detected timely and comprehensively, and the method is very important for protecting the information safety.
Up to now, the defect detection of the shielding glass has to be improved in terms of detection time, accuracy and comprehensiveness. The embodiment of the invention provides a defect automatic detection technology based on shielding glass, and the large-size defect and the small-size defect are respectively detected through two illumination modes to complete the acceptance of the shielding glass.
Disclosure of Invention
The invention aims to solve the technical problem of detecting the defects of the shielding glass, and realizes the automatic detection of the defects of the shielding glass by marking the defect positions by using a machine vision technology.
In order to solve the technical problem, the invention provides a method for combining uniform background light illumination and blue parallel light illumination, which collects an image under illumination for automatic detection and comprises the following steps:
Step a, a shielding glass detection system is built by utilizing a plurality of light sources, a computer 1, a biaxial controller 2, a light source controller 3, a high-resolution industrial area-array camera 4, a high-resolution industrial lens 5, a double telecentric lens 10, shielding glass 6, a relevant clamp 7, a two-dimensional electric workbench 8 and the like;
B, performing uniform background illumination on the shielding glass 6, and performing automatic detection on large-size defects;
C, performing parallel light illumination on the shielding glass 6, and detecting small-scale defects;
and d, checking and accepting the detection result, indicating the position of the defect through the electric holder laser, and manually judging the type of the defect.
wherein, step b specifically includes:
B1, the computer 1 adjusts the brightness of the background light source through the light source controller 3 to adapt to the environmental light intensity and the change of the sample;
B2, uniformly illuminating by the light emitted by the white high-brightness background light source 9, acquiring a two-dimensional image of the shielding glass by using the high-resolution area array camera 4, the high-resolution industrial lens 5 and the high-performance image acquisition card, transmitting the acquired image into the computer 1 in real time, and automatically detecting the shielding glass by an image processing algorithm;
And b3, controlling the translation of the two-dimensional electric workbench 8 in the XY two directions by the computer 1 through the biaxial controller 2, acquiring images at different positions, and realizing the detection of the large-size shielding glass.
Wherein, step c specifically includes:
Step c1, the computer 1 adjusts the brightness of the blue parallel light sources 11, 12, 13 through the light source controller 3;
step c2, a blue light source with shorter wavelength is adopted to reduce diffraction phenomenon; in order to detect more defects, three light sources are adopted for lighting, combined lighting is respectively carried out from three positions, namely a front angle, a back angle and a back vertical position, the work of each light source is controlled by the multi-path light source controller 3, in the lighting process, the light sources and the glass plane angle can be kept unchanged, different parallel light sources are controlled by the motion controller to rotate and move, or the front and back lighting angles are changed, and multi-direction comprehensive lighting is carried out on shielding glass;
Step c3, collecting two-dimensional images under different illumination modes through a collection card, the area array camera 4 and the high-resolution telecentric lens 10, and detecting the shielding glass according to an image processing algorithm;
And c4, controlling the translation of the two-dimensional electric worktable 8 in the XY directions by the computer 1 through the biaxial controller 2, and acquiring images of different positions of the shielding glass to realize small-size automatic detection.
wherein, step d includes:
Step d1, designing a corresponding scheme for defect detection: the defects of color, cracks, edge explosion, glue overflow and shrinkage, silk screen damage, edge covering width and the like are detected by uniform background light illumination, and the resolution ratio reaches 0.1 mm; the method is used for detecting point defects such as bubbles, pockmarks, pinholes and the like, linear defects such as fluff, scratches and the like, defects such as silk screen wrinkles, lines, moire fringes and the like by adopting a parallel light combined illumination mode, and the resolution ratio reaches 0.01 mm.
Step d2, the sample with the size of 700 × 500mm can be detected at the maximum, when the sample with small size is detected by using the parallel light combined illumination, 8000 ten thousand pixel cameras are adopted, the sampling size is 90 × 70mm at one time, and the resolution is less than 0.01 um. When a light source is used for single-side detection, the image acquisition time is slightly less than 4 minutes; when the single-side detection is carried out by using three light sources, the time is about 12 minutes; when the double-sided detection is performed by using three light sources, about 24 minutes is consumed.
D3, fixing the sample glass by the sucker, scanning, collecting and processing the image by the programming system, moving the sample position after the detection, automatically detecting whether the sample in the area of the sucker has defects, storing the detection result in the computer 1, controlling the electric pan-tilt laser by the signal control device, marking the position of the detected defect on the sample, and manually distinguishing the defect.
According to the technical scheme provided by the invention, through the combination of multiple lighting modes, the defect detection is comprehensively and effectively carried out on the shielding glass, the defect detection efficiency is improved, the defects of the shielding glass in practical application are effectively prevented, the stability of the living environment of people is further ensured, the leakage of confidential information is prevented, and the detection scheme is continuously perfected in the experiment and practical operation.
Drawings
FIG. 1 is a schematic diagram showing the composition of a uniform background illumination glass defect detection system.
FIG. 2 shows a flow chart of the operation of the uniform background illumination glass defect detection system.
FIG. 3 is a schematic diagram showing the composition of a parallel light illuminated glass defect detection system.
FIG. 4 shows a flow chart of the operation of a parallel light illuminated glass defect detection system.
Fig. 5 shows a flow chart of the automatic detection operation steps.
fig. 6 shows a schematic view of the test specimen chuck attachment.
FIG. 7 shows a schematic view of an operating interface of the detection system.
figure 8 shows a schematic diagram of a defect location indication system.
the reference numbers and corresponding part names in the drawings are:
The system comprises a computer 1, a biaxial controller 2, a light source controller 3, a high-resolution industrial area array camera 4, a high-resolution industrial lens 5, shielding glass 6, a support 7, a two-dimensional electric workbench 8, a white high-brightness backlight source 9, a double telecentric lens 10, a blue parallel light source 11, a blue parallel light source 12, a blue parallel light source 13 and a motion controller 14.
Detailed Description
hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
The embodiment of the invention provides a scheme for detecting defects of shielding glass by using multiple light source combined illumination.
the uniform background illumination shielding glass defect detection system is composed as shown in figure 1, shielding glass 6 is fixed on a support 7 of a two-dimensional electric workbench 8, white high-brightness background light 9 is placed below the workbench to carry out vertical illumination, a high-resolution industrial area array camera 4 and a high-resolution industrial lens 5 are used for carrying out image acquisition above the workbench and transmitting the image acquisition to a computer 1, the computer is connected with a two-axis controller 2 and a light source controller 3 at the same time, the two-axis controller 2 controls the movement of the electric workbench 8, and the light source controller 2 controls the work of the white high-brightness background light 9.
The working flow of the uniform background illumination glass defect detection system is shown in figure 2. Firstly, placing a shielding glass 6 to be detected on a matched sample support 7; selecting the type of glass to be placed on a detection system, and automatically selecting the light source intensity through a light source controller 3 according to the type of the glass so as to obtain the optimal image acquisition effect; the biaxial controller 2 controls the worktable to translate, and performs initialization adjustment of the system to make the camera align to the initial position of the shielding glass; the high-resolution area-array camera 4 is combined with the high-resolution industrial lens 5 to collect two-dimensional images of the sample and transmit the two-dimensional images to the computer 1 in real time; then, the collected image is processed, and whether the sample is defective or not is judged; giving the position and size of the defect by judging whether the sample is qualified; judging whether the sample is checked, if not, translating the sample to the next detection position, and repeatedly carrying out image acquisition and automatic detection; and if the sample is detected completely, ending the detection process.
FIG. 3 shows the components of a parallel light illuminated glass defect detection system. The shielding glass 6 is placed on a support 7 of a two-dimensional electric worktable 8, an angled blue parallel light source 11 is placed on the front surface of the shielding glass, and an angled blue parallel light source 12 and a blue parallel light source 13 vertical to the surface of the sample are placed on the back surface of the sample; the front side of the glass is subjected to image acquisition by using a high-resolution industrial area array camera 4, a double telecentric lens 10 and an image acquisition card, and then is transmitted to a computer 1; in the lighting process of the light source, the vertical lighting can be used for translation lighting in a plane, the angle lighting can change the angle with the plane of the glass or keep a certain angle, the light source rotates for a circle or moves to light, the motion controller 14 controls the work of three parallel light sources, the parallel light source 11 is controlled to rotate and translate on the front surface of the shielding glass, the front multi-angle measurement is realized, the parallel light source 12 is controlled to rotate and translate at different angles on the back surface of the shielding glass, and the parallel light source 13 is controlled to realize the lighting in the vertical direction on the back surface of the shielding glass.
FIG. 4 is a flow chart of the operation of the parallel light illuminated glass defect detection system. Firstly, the shielding glass 6 is placed on a matched bracket 7; the biaxial controller 2 controls the worktable to translate, and performs initialization adjustment of the system to make the camera align to the initial position of the shielding glass; the light source controller 3 controls the blue parallel light source 11 to carry out front angle illumination, and the high-resolution industrial area array camera 4, the double telecentric lens 10 and the image acquisition card are utilized to carry out two-dimensional image acquisition; the reverse side angle illumination is carried out through a blue parallel light source 12, and a two-dimensional image is collected; the reverse side vertical illumination is carried out through a blue parallel light source 13, and a corresponding two-dimensional image is collected; then, the collected image is processed, and whether the shielding glass is defective or not is judged; giving the position and size of the defect by judging whether the shielding glass is qualified; translating the glass to the next detection position, and repeatedly controlling the three light sources to acquire and process images; and if the image acquisition is finished, ending the detection process.
Fig. 5 is a flowchart illustrating the operation steps of the automatic detection of the detecting person. The detection personnel manually place the shielding glass, then realize system programming on the computer 1, select the shielding glass kind and size in the system operation interface, and select the defect kind that will detect, start to detect and output the testing result after the readiness, take back the shielding glass manually after the detection finishes.
during the testing process, the test chuck is fixed schematically as shown in FIG. 6, and the computer operating interface is shown in FIG. 7. Placing the shielding glass to be detected on two circular transparent electric suction cups, controlling the suction cups to fix the glass by a detector through a foot-operated switch, wherein the fixing position of the suction cups is A, B; selecting options such as the type and the size of glass required for detection on an operation interface, clicking a 'start detection' button, automatically detecting other positions outside an A, B area, and moving shielding glass to collect and process a A, B area after detection is finished; and after the whole glass is scanned, outputting a defect list and a defect statistical table shown in fig. 7, and judging whether the glass is qualified.
A schematic diagram of a defect location indication system is shown in fig. 8, which can help workers quickly find the specific location of a defect on the shielding glass. The glass is placed on the manual detection platform after being taken down by a detection person, when the detection person selects a manual detection command of a certain defect in the defect list on the operation interface, the system transmits the command to the manual detection operation platform, the electric pan-tilt laser on the operation platform is controlled to move, a cross optical line emitted by the laser is projected at the position of the defect of the shielding glass, the worker is helped to find the defect quickly, and the defect is judged to be a surface defect or an internal defect manually. When the defects are manually judged, the system can start to automatically detect the next sample, and due to the memory function of the system, if the standard of the next shielding glass detection is not changed, the next shielding glass can be directly detected.
Claims (4)
1. A method for automatically detecting defects of shielding glass by using a machine vision technology comprises the following steps:
Step a, completing the construction of a glass defect detection system platform by utilizing a light source, a light source controller, a high-resolution industrial lens, a high-resolution industrial area array camera, a computer, a two-dimensional electric workbench, a shaft controller, a detected sample and a matched clamp, and carrying out a detection mode combining uniform background light illumination and parallel light illumination;
Step b, automatically detecting the shielding glass in a uniform background lighting manner;
Step c, automatically detecting the shielding glass in a three-parallel light illumination mode;
And d, checking and accepting the glass defects detected by the machine.
2. The method of claim 1, wherein the uniform background illumination performed in step b further comprises: carrying out single-side vertical irradiation on the glass by white high-brightness background light; through software programming, a high-performance image acquisition card is adopted, a high-resolution area array camera is used for acquiring a two-dimensional image and transmitting the two-dimensional image to a computer in real time, and glass is detected according to an image processing algorithm, so that the rapid detection of the shielding glass is realized.
3. the method of claim 1, wherein the parallel light illumination performed in step c further comprises: three blue parallel light sources are adopted to respectively carry out combined illumination of front angle illumination, back angle illumination and back vertical illumination, and the overall coverage type illumination is realized by changing the illumination angles and positions of the three light sources; and detecting the glass defect with smaller size by using a telecentric lens and a high-resolution camera.
4. The method according to claim 1, wherein step d specifically comprises:
D1, controlling the two electric round transparent suckers to fix the shielding glass sample by the inspector through a foot-operated switch, so as to achieve the effect of not shielding the surface of the glass and reduce the existence of interference; checking and accepting the detection precision and time by using a computer software system;
And d2, moving the shielding glass and fixing the shielding glass again, and detecting the covering position of the two suckers.
d3, controlling different light sources to detect defects according to the defect types selected by the program selection interface; and for the detected defects, after a certain defect is selected by software, the computer controls the laser of the electric holder to indicate the position of the selected defect on the shielding glass, and the internal defect or the external defect is manually judged.
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| CN201910830651.6A CN110567989A (en) | 2019-09-04 | 2019-09-04 | shielding glass defect detection method |
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| CN201910830651.6A CN110567989A (en) | 2019-09-04 | 2019-09-04 | shielding glass defect detection method |
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Cited By (7)
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| CN110918497A (en) * | 2019-12-27 | 2020-03-27 | 无锡动视宫原科技有限公司 | Polaroid flaw detection device |
| CN111487253A (en) * | 2020-05-26 | 2020-08-04 | 苏州智慧鹿智能科技有限公司 | CCD camera system for detecting surface defects of products |
| CN111716017A (en) * | 2020-06-16 | 2020-09-29 | 罗建华 | Visual detection device and laser processing system |
| CN112304968A (en) * | 2020-09-11 | 2021-02-02 | 嘉兴驭光光电科技有限公司 | Detection system and detection method for micro-nano optical element |
| WO2021179680A1 (en) * | 2020-03-13 | 2021-09-16 | 苏州鑫睿益荣信息技术有限公司 | Machine vision-based windshield scratch continuous-detection apparatus and detection method |
| CN114235847A (en) * | 2021-12-20 | 2022-03-25 | 深圳市尊绅投资有限公司 | Liquid crystal display panel glass substrate surface defect detection device and detection method |
| CN114838759A (en) * | 2022-04-08 | 2022-08-02 | 彩虹集团（邵阳）特种玻璃有限公司 | Glass sample block quality detection device and method |
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