CN111103309A - Method for detecting flaws of transparent material object - Google Patents
Method for detecting flaws of transparent material object Download PDFInfo
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- CN111103309A CN111103309A CN201811259945.XA CN201811259945A CN111103309A CN 111103309 A CN111103309 A CN 111103309A CN 201811259945 A CN201811259945 A CN 201811259945A CN 111103309 A CN111103309 A CN 111103309A
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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- G01N21/88—Investigating the presence of flaws or contamination
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Abstract
The invention provides a method for detecting flaws of a transparent material object, which has the beneficial effects that: the invention relates to a pattern consisting of a plurality of straight lines. The pattern can be focused into a clear image by an industrial camera after being refracted by a transparent material object. When the transparent material object or the surface of the transparent material object has the condition that the refractive index is different from that of the material, the straight line presents the defect characteristic that the image in the industrial camera is distorted and deformed at certain parts, and the defect characteristic is the judgment standard for judging whether the water ripple defect occurs or not. The present invention provides a method of "exposing" the defect features of such physical defects. The method for detecting the defect characteristics does not exist before the invention, so that the machine identification cannot be carried out by adopting a machine vision identification mode.
Description
Technical Field
The invention relates to the technical field of machine vision identification, in particular to a detection method for identifying certain specific flaws existing on a transparent object through the change of an image of a specific pattern through refraction of the transparent object, which is particularly applied to the technical field of flaw detection of glasses lenses.
Background
In the prior art, the defect of the inside or the surface of the transparent article such as the glasses lens is detected manually. In particular, in a darkroom environment, with the help of a small light source, the detection is carried out by naked eyes. The precision of the human eye for detecting the lens flaws is low, and because the vision range of the human eye is 50 mu at least, only flaws with the size of 50 mu or more can be identified, and the missing rate of flaws smaller than the vision range of the human eye is very high. Since working in a dark room environment for a long time is detrimental to human vision, it requires regular adjustment of personnel, resulting in high labor costs.
With the progress of the technological level, a technology of replacing manual lens defect detection with a machine vision recognition technology is gradually applied to an actual lens defect detection process. The method specifically includes the steps of providing uniform illumination ring shapes for lenses under the illumination condition provided by a hardware light source system, calculating and selecting images of the lenses shot by a proper industrial camera, transmitting the images to an image processing system to perform image preprocessing, image filtering, image segmentation, feature extraction, target technology and other programs so as to accurately verify defects on the lenses, and finally acquiring, processing, identifying and counting defects of the lenses. ("basic research on image processing for machine vision-based lens defect inspection, author and Rabdosia, Jiangsu university).
CN206557129 discloses a system for detecting defects of lenses, which comprises a dual-camera, a lens to be detected, a light source device, and a computer image processing system, wherein the angle between the camera and the lens to be detected is adjusted to make the lens completely present in the shooting view of the camera, so as to improve the shooting efficiency and progress of the camera and further improve the precision and efficiency of detection. An earlier patent document CN102735695 discloses a rapid detection method for defects of a lens, which improves the accuracy of recognition of certain defect features by improving the software algorithm for processing images. In the scheme, the surface defect detection method based on mathematical morphology of the shot image comprises the following steps: firstly, eliminating noise by using a median filter aiming at the noise existing in an image; then, segmenting the defect image by using a gray morphological method; and finally, analyzing the extracted morphological characteristics, determining a defect classification standard, and judging the defect type according to the standard.
Basically, in the prior art, the principles of the schemes for improving the detection accuracy and efficiency are similar to those provided in the above patent documents, and the schemes are to adjust the light source type, increase the number of cameras, or improve the accuracy of the cameras, or improve the image processing algorithm to improve the accuracy of identifying the defective features in the image.
We believe that it is essential to improve the accuracy of flaw detection so that the defective features on the lens are sufficiently "exposed" in the light environment. By "exposure" is meant that physical defects on the lens, under illumination by the light source, exhibit defect features that are clearly captured by the camera lens, which defect features appear in the image as a specifically recognizable pattern. Such as a bubble in a lens, the corresponding defect is characterized by a bubble-shaped circular bright spot as shown in fig. 1. The surface imperfections of the lens, corresponding to the defects, are characterized by the continuous dark lines shown in fig. 2. Although efforts have been made in the prior art to improve the accuracy of camera capture or the speed and accuracy of image processing to improve the accuracy and speed of detection, it is not sufficient to identify certain lens defects, such as "water ripple" defects.
In the field of lens inspection, we can classify the main defect impurity types into the following three types: particulate matter defects, bubble defects, and scratch defects. All three physical defects are convex and concave in or on the surface of the lens, and the light of the light source irradiates on the physical defects to generate obvious scattering so as to show clear defect characteristics. There is a defect characteristic in that the resin lens is coated with a coating error, which causes the coating to overlap or twist on the lens. Such physical defects often result in the appearance of water ripples, single or multiple ripples, commonly referred to as "water ripples," in the finished lens. Due to the generation of the physical defects and the defects of the lens, the adhesion layer difference between the lens and the coating is caused. The conventional method of adjusting the angles of the cameras and the lenses to exhibit defective features does not work, and since defective features cannot be exhibited, such defects cannot be detected even if the number of cameras is increased to improve the accuracy of the cameras or the accuracy of the recognition algorithm for images is improved.
Based on the above research, the applicant proposes a new method for detecting the defect characteristics of the water ripples based on machine vision recognition. It is important to provide a method that clearly characterizes "water ripple" defects. The method based on the specific defect characteristics presented by the specific pattern through the refraction of the lens and the coating film gap and the comparison of the image and the surrounding environment improves the accuracy and the speed of identifying the 'water wave' and similar defect characteristics generated by the same principle by combining the specific defect characteristics with the mechanical vision identification. Furthermore, the recognition of various defect characteristics is realized by combining the traditional means so as to improve the overall precision and efficiency of the lens detection.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method for detecting flaws of transparent material objects, which aims to identify the defect characteristics of 'water ripples', and further combines the traditional machine vision identification technology to achieve multi-procedure comprehensive identification of various defects, so as to realize full detection of lens flaws in a real sense, improve the detection efficiency, reduce the omission factor and replace manual detection.
A method for detecting the flaw of transparent object features that the combined industrial camera and visual image processing system is used to detect the flaw on or in the surface of object to be detected,
step one, displaying a pattern below an object;
adjusting the distance between the industrial camera and the pattern to enable the industrial camera to shoot an image with clear pattern;
step three, keeping the pattern still and taking a picture;
step four, adjusting the pattern, standing and taking a picture;
step five, repeating the step four to enable the industrial camera to acquire a plurality of clear images;
and step six, transmitting the acquired images to a visual image processing system. The pattern in the present invention is generally a pattern composed of a plurality of straight lines. The pattern can be focused into a clear image by an industrial camera after being refracted by a transparent material object. When the transparent material object or the surface of the transparent material object has the condition that the refractive index is different from that of the material, the straight line presents the defect characteristic that the image in the industrial camera is distorted and deformed at certain parts, and the defect characteristic is the judgment standard for judging whether the water ripple defect occurs or not. Due to the limitation (adjustability) of the line width of the straight line, a pattern composed of a plurality of lines can only cover a part of the light-transmitting area of the object in one detection process, so that the pattern needs to be adjusted, specifically, the bright lines move in the same direction by a unit of physical distance or pixel distance, and the detection of the light-transmitting area is achieved. The above is repeated for a plurality of times until the transparent area of the transparent material object to be detected is completely covered. The simultaneous adjustment can also be an adjustment of the angle of the line, e.g. from horizontal to vertical, the purpose of this adjustment being to cover the light transmitting area of the object from different directions. Other patterns that can achieve the object of the present invention, such as regular patterns surrounded by thin lines, which can achieve full coverage of the light-transmitting area according to the above principle, are not excluded from the present invention. After all the images in the light transmission areas of the plurality of transparent objects are obtained, the images are transmitted to a visual image processing system, the defect characteristics are identified and counted by processing the images through software of machine vision recognition, and the content of the part can be completely realized in the prior art, and is not repeated in the invention.
Furthermore, the pattern is composed of a plurality of parallel lines with a certain distance, the lines can be displayed by the self-luminous body, and can also be generated by projection, namely the pattern is displayed by any way or mode without limitation.
Further, the method for adjusting the pattern in the fourth step in the above scheme is that the width of a line is determined and recorded as a, and the distance between two adjacent lines is determined and recorded as b; all lines in the pattern move once in the same direction by taking a as a unit distance;
further, in the above scheme, the repetition frequency of the step five is b/a times.
A method for detecting defects in a lens by detecting defects on or in the surface of the lens,
step H1, placing a lens in a first station, and arranging a pattern below the lens, wherein the pattern is composed of a plurality of parallel luminous horizontal lines, the width of each horizontal line is consistent, and the distance between two adjacent horizontal lines is consistent; adjusting the distance between a lens and a lens of the industrial camera to ensure that the pattern enters the industrial camera through the lens, and the image is clear, still and shot; the method for adjusting the pattern comprises the steps of determining the width of a line as a, determining the distance between two adjacent lines as b, and moving all the lines in the pattern once in the same direction by taking a as a unit distance; the acquired number of images is transmitted to a visual image processing system.
Step H2, placing the same lens in the step H1 in a second station, and arranging a pattern below the lens, wherein the pattern is composed of a plurality of parallel luminous vertical lines, the line widths of the vertical lines are consistent, and the distances between two adjacent vertical lines are consistent; adjusting the distance between a lens and a lens of the industrial camera to ensure that the pattern enters the industrial camera through the lens, and the image is clear, still and shot; the method for adjusting the pattern comprises the steps of determining the width of a line as a, determining the distance between two adjacent lines as b, and moving all the lines in the pattern once in the same direction by taking a as a unit distance; the acquired number of images is transmitted to a visual image processing system.
Step H3, placing the same lens in the step H1 or the step H2 in a third station, adopting a light source generating annular light to illuminate the lens, adjusting the height of the lens in the third station so that the industrial camera can photograph the lens and present a clear image, and transmitting the image to a visual image processing system;
and H4, placing the same lens in the step H1 or H2 in a station four, illuminating the lens by adopting a light source generating strip light, adjusting the height of the lens in the station four, enabling the industrial camera to photograph the lens and present a clear image, and transmitting the image to a visual image processing system.
The above steps can be sequentially adjusted according to different use scenes and actual working condition requirements, and the steps can be omitted or combined when necessary. Such as adjusting the order of the two steps H3 or H4 or the light sources of steps H3 and H4 to be the same, to save steps.
A method for detecting defects of a lens, which uses a combination device of a plurality of stations, a light source, an industrial camera and a visual image processing system to detect the defects on the surface of the lens to be detected or in the lens to be detected,
step N1, placing a lens in a first station, arranging an industrial camera above the lens, wherein a display screen is arranged below the lens, the display screen can display a plurality of luminous horizontal lines, the lines have the same line width and the same distance between adjacent lines, and the area of a pattern formed by the lines is larger than the vertical projection area of the lens; adjusting the distance between the lens and the lower end face of the industrial camera lens (telecentric lens) to enable the pattern to reach the lens through the lens to generate a clear image, and then the image is still and shot; the pattern is adjusted, the pattern is static and shot, the method for adjusting the pattern is that the width of all lines in the pattern is a pixels, the distance between two adjacent lines is b pixels, the display screen can control the change of the pattern, and compared with the pattern before adjustment, the pattern after adjustment means that all the lines in the pattern after adjustment move once in the same direction by taking a pixels as the distance; repeating the adjustment pattern b/a times; transmitting the acquired images to a visual image processing system;
step N2, placing the lens in the step N1 in a second station, arranging an industrial camera above the lens, arranging a display screen below the lens, wherein the display screen can display a plurality of luminous vertical lines, the lines have the same line width and the same space between adjacent lines, and the area of a pattern formed by the lines is larger than the projection area of the lens in the vertical direction; adjusting the distance between the lens and the lower end face of the industrial camera lens (telecentric lens) to enable the pattern to reach the lens through the lens to generate a clear image, and then the image is still and shot; the pattern is adjusted, the pattern is static and shot, the method for adjusting the pattern is that the width of all lines in the pattern is a pixels, the distance between two adjacent lines is b pixels, the display screen can control the change of the pattern, and compared with the pattern before adjustment, the pattern after adjustment means that all the lines in the pattern after adjustment move once in the same direction by taking a pixels as the distance; transmitting the acquired images to a visual image processing system;
step N3, placing the lens in the step N2 in a third station, illuminating the lens by adopting a light source generating annular light, adjusting the height of the lens in the third station, enabling an industrial camera to photograph the lens and present a clear image, and transmitting the image to a visual image processing system;
and step N4, placing the lens in the step N3 in a station four, illuminating the lens by adopting a light source generating bar light, adjusting the height of the lens in the station four, and enabling the industrial camera to photograph the lens, present a clear image and transmit the image to a visual image processing system. In this embodiment, steps N1 and N2 are performed by a method for detecting defects of a transparent object to detect the defect characteristics of "water ripples" of the lens. The display hardware capable of controlling pattern change, namely the display screen, is used for realizing the pattern change requirement required by people, and specifically, a plurality of parallel straight lines move a unit distance in the same direction. The requirement is that all the lens light transmission areas can be line scanned and imaged by the camera. Steps N3 and N4 used methods used in the prior art to detect defects including particulate matter, bubbles, and scratches, such as hard spots, fingerprints, fog, and the like. The whole scheme can detect all the defects of the existing found lens, and the purpose of real comprehensive defect detection is achieved.
The invention provides a method for detecting flaws of a transparent material object, which has the beneficial effects that: the invention relates to a pattern consisting of a plurality of straight lines. The pattern can be focused into a clear image by an industrial camera after being refracted by a transparent material object. When the transparent material object or the surface of the transparent material object has the condition that the refractive index is different from that of the material, the straight line presents the defect characteristic that the image in the industrial camera is distorted and deformed at certain parts, and the defect characteristic is the judgment standard for judging whether the water ripple defect occurs or not. The present invention provides a method of "exposing" the defect features of such physical defects. The method for detecting the defect characteristics does not exist before the invention, so that the machine identification cannot be carried out by adopting a machine vision identification mode. Therefore, the defects of the water ripples are still manually detected, and the whole lens detection process cannot really realize the comprehensive detection of the defects. By the method, the defect detection of the lens can be completely realized by combining with other known defect detection prior art, the efficiency and the precision of the lens detection are improved, and the cost is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
FIG. 1 is a schematic diagram of the detection of bubble defect characteristics in the prior art;
FIG. 2 is a schematic diagram of the detection of impurity defects in the prior art;
FIG. 3 is a first schematic diagram of the method for detecting the defect characteristics of the water ripples;
FIG. 4 is a second schematic diagram of the defect feature of the water ripple detected by the method;
FIG. 5 is a third schematic diagram of the defect feature of the water ripple detected by the method;
fig. 6 is a schematic structural view of a rotating apparatus used in the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
A method for detecting defects in a lens, which enables the identification, classification, and counting of defects on or in the lens surface. The detection method is completed by means of a device which consists of a plurality of stations, a light source, an industrial camera and a visual image processing system. The station actually refers to a device capable of placing and stabilizing the lens. In this embodiment, the station device is a rotatable device, and a schematic structural diagram of the rotatable device is shown in fig. 6, and four stations are arranged on the rotatable device, the lens moves in from one side and circulates in the four stations, and the lens moves out from one side after the inspection process is completed. The station where the lens moves in is taken as a first station, and the station where the lens moves out is taken as a fourth station. Generally, the lens has a structure that the center of one surface protrudes and smoothly transits to the periphery, so that the station structure for fixing the lens is necessarily a structural form which is consistent with the lens fixing requirement, and the description is omitted here.
In this embodiment, a display screen is arranged below the first station and the second station, and the display screen is a component capable of displaying a specific pattern and adjusting the pattern according to requirements. The display screen arranged under the first station can display a pattern formed by a plurality of parallel high-light horizontal lines, and the display screen arranged under the second station can display a pattern formed by a plurality of parallel high-light vertical lines. The display screen can control the thickness of the lines by taking pixel units as distance units and control the display of the lines at specific pixel positions on the display screen. An industrial camera is arranged above the first station and the second station, the industrial camera focuses on the pattern of the display screen rather than the lens, namely, the image presented in the camera is the image of the pattern refracted by the lens.
In the present embodiment, the visual image processing system is a host computer storing an image processing program or a storage medium storing an image processing program. The upper computer processes the image transmitted by the industrial camera under the instruction control of the image processing program, and can identify the flaw characteristics and classify and count the flaw characteristics.
In this embodiment, at least two forms of light sources will be used, one being a ring light source and one being a bar light source. The light source emits a specific shape of light, either ring or strip, which is uniformly applied to the lens to create an illumination environment that "exposes" certain physical imperfections in or on the lens surface. In this embodiment, the annular light source is arranged below the selected third station, the annular light source is in a structure like a circular light source body, and the lamp beads are arranged on the annular light source body in an annular mode, and the included angle between each lamp bead and the bottom surface is 30 degrees, namely, the included angle between each light ray and the bottom surface is 30 degrees, so that the effect is better. In this embodiment, a strip light source is arranged below the selected fourth station. Corresponding industrial cameras are arranged on the third station and the fourth station, and when the device is used, the distance between the corresponding cameras and the lenses and the angle between the light source and the industrial cameras need to be adjusted, so that the requirement for obtaining the clearest image is met.
The method for detecting the lens defects by using the combined device,
step N1, placing a lens in a first station, arranging a display screen below the lens, wherein the display screen can display a plurality of luminous horizontal lines, the lines have the same line width and the same distance between adjacent lines, and the area of a pattern formed by the lines is larger than the vertical projection area of the lens; adjusting the distance between the lens and the lower end face of the industrial camera lens (telecentric lens) to enable the pattern to reach the lens through the lens to generate a clear image, and then the image is still and shot; the pattern is adjusted, the pattern is static and shot, the method for adjusting the pattern is that the width of all lines in the pattern is a pixels, the distance between two adjacent lines is b pixels, the display screen can control the change of the pattern, and compared with the pattern before adjustment, the pattern after adjustment means that all the lines in the pattern after adjustment move once in the same direction by taking a pixels as the distance; repeating the adjustment pattern b/a times; transmitting the acquired images to a visual image processing system;
step N2, placing the lens in the step N1 in a second station, arranging a display screen below the lens, wherein the display screen can display a plurality of luminous vertical lines, the lines have the same line width and the same distance between adjacent lines, and the area of a pattern formed by the lines is larger than the vertical projection area of the lens; adjusting the distance between the lens and the lower end face of the industrial camera lens (telecentric lens) to enable the pattern to reach the lens through the lens to generate a clear image, and then the image is still and shot; the pattern is adjusted, the pattern is static and shot, the method for adjusting the pattern is that the width of all lines in the pattern is a pixels, the distance between two adjacent lines is b pixels, the display screen can control the change of the pattern, and compared with the pattern before adjustment, the pattern after adjustment means that all the lines in the pattern after adjustment move once in the same direction by taking a pixels as the distance; transmitting the acquired images to a visual image processing system;
as shown in fig. 3, 4, and 5, the images are obtained by the single shot of the industrial camera in step N1 or N2. The ripple-like patterns shown in the three figures feed back the defect characteristics of the water ripples. The defect characteristics are shown as a ripple image due to the refraction deviation between the light refracted by the overlapped or twisted coating and the light refracted by the normal coating. The method can realize that the physical defects of the coating film overlapping or twisting on the lens are displayed on the characteristic defects of the imaging pattern through the light refraction effect.
Step N3, placing the lens in the step N2 in a third station, illuminating the lens by adopting a light source generating annular light, adjusting the height of the lens in the third station, enabling an industrial camera to photograph the lens and present a clear image, and transmitting the image to a visual image processing system;
and step N4, placing the lens in the step N3 in a station four, illuminating the lens by adopting a light source generating bar light, adjusting the height of the lens in the station four, and enabling the industrial camera to photograph the lens, present a clear image and transmit the image to a visual image processing system. In this embodiment, steps N1 and N2 are performed by a method for detecting defects of a transparent object to detect the defect characteristics of "water ripples" of the lens. The display hardware capable of controlling pattern change, namely the display screen, meets the pattern change requirement required by people, and the requirement is that all the light-transmitting areas of the lens can be scanned by lines and shot by a camera to form images. Steps N3 and N4 use methods used in the prior art to detect defects including particulate matter, bubbles and scratches, as well as hard spots, fingerprints, fog, etc. The whole scheme can detect all the defects of the existing found lens, and the purpose of real comprehensive defect detection is achieved.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for detecting flaws of a transparent material object, which applies a combination device of an industrial camera and a visual image processing system to detect flaws on the surface of the object to be detected or in the object to be detected, is characterized in that: the flaw of the object is detected according to the following steps,
displaying a pattern on one side of an object, and arranging an industrial camera on the other side of the object;
adjusting the distance between the industrial camera and the pattern to enable the industrial camera to shoot an image with clear pattern;
step three, keeping the pattern still and taking a picture;
step four, adjusting the pattern, standing and taking a picture;
step five, repeating the step four to enable the industrial camera to acquire a plurality of clear images;
and step six, transmitting the acquired images to a visual image processing system.
2. The method as claimed in claim 1, wherein the pattern is composed of a plurality of parallel lines at regular intervals.
3. The method for detecting the flaws of the transparent object as claimed in claim 2, wherein the pattern adjustment in the fourth step is performed by determining the width of a line as a and the distance between two adjacent lines as b; all lines in the pattern move once in the same direction by taking a as a unit distance.
4. The method as claimed in claim 3, wherein the step five is repeated b/a times.
5. A method for detecting defects in a lens, characterized in that defects are detected on or in the surface of the lens,
step H1, placing the lens in a first station, arranging a pattern on one side of the lens, and arranging an industrial camera on the other side of the pattern, wherein the pattern is composed of a plurality of parallel luminous horizontal lines, the width of the horizontal lines is consistent, and the distance between two adjacent horizontal lines is consistent; adjusting the distance between a lens and a lens of the industrial camera to ensure that the pattern enters the industrial camera through the lens, and the image is clear, still and shot; the method for adjusting the pattern comprises the steps of determining the width of a line as a, determining the distance between two adjacent lines as b, and moving all the lines in the pattern once in the same direction by taking a as a unit distance; the acquired number of images is transmitted to a visual image processing system.
6. The method of claim 5, wherein the step of detecting the lens flaw comprises,
step H2, placing the same lens in the step H1 in a second station, arranging a pattern on one side of the lens, and arranging an industrial camera on the other side of the pattern, wherein the pattern is composed of a plurality of parallel luminous vertical lines, the widths of the vertical lines are consistent, and the distances between every two adjacent vertical lines are consistent; adjusting the distance between a lens and a lens of the industrial camera to ensure that the pattern enters the industrial camera through the lens, and the image is clear, still and shot; the method for adjusting the pattern comprises the steps of determining the width of a line as a, determining the distance between two adjacent lines as b, and moving all the lines in the pattern once in the same direction by taking a as a unit distance; the acquired number of images is transmitted to a visual image processing system.
7. A method for detecting lens imperfections according to claim 5 or 6,
and step H3, placing the same lens in the step H1 or the step H2 in a third station, illuminating the lens by adopting a light source generating annular light, adjusting the height of the lens in the third station so that the industrial camera can photograph the lens and present a clear image, and transmitting the image to a visual image processing system.
8. A method for detecting lens imperfections according to claim 5 or 6,
and H4, placing the same lens in the step H1 or H2 in a station four, illuminating the lens by adopting a light source generating strip light, adjusting the height of the lens in the station four, enabling the industrial camera to photograph the lens and present a clear image, and transmitting the image to a visual image processing system.
9. The method of claim 7, wherein the step of detecting the lens imperfection comprises,
and H4, placing the same lens in the step H3 in a station four, illuminating the lens by adopting a light source generating bar light, adjusting the height of the lens in the station four, and enabling the industrial camera to photograph the lens, present a clear image and transmit the image to a visual image processing system.
10. A method for detecting defects of a lens, which uses a combination device of a plurality of stations, a light source, an industrial camera and a visual image processing system to detect defects on the surface of the lens to be detected or in the lens to be detected, and is characterized in that:
step N1, placing a lens in a first station, arranging an industrial camera on one side of the lens, arranging a display screen on the other side of the lens, wherein the display screen can display a plurality of luminous horizontal lines, the lines have the same line width and the same space between adjacent lines, and the area of a pattern formed by the lines is larger than the vertical projection area of the lens; adjusting the distance between the lens and the lower end face of the industrial camera lens to enable the pattern to reach the lens through the lens to generate a clear image, and carrying out still shooting; the pattern is adjusted, the pattern is static and shot, the method for adjusting the pattern is that the width of all lines in the pattern is a pixels, the distance between two adjacent lines is b pixels, the display screen can control the change of the pattern, and compared with the pattern before adjustment, the pattern after adjustment means that all the lines in the pattern after adjustment move once in the same direction by taking a pixels as the distance; repeating the adjustment pattern b/a times; transmitting the acquired images to a visual image processing system;
step N2, placing the lens in the step N1 in a second station, arranging an industrial camera on one side of the lens, arranging a display screen on the other side of the lens, wherein the display screen can display a plurality of luminous vertical lines, the lines have the same line width and the same space between adjacent lines, and the area of a pattern formed by the lines is larger than the vertical projection area of the lens; adjusting the distance between the lens and the lower end face of the industrial camera lens to enable the pattern to reach the lens through the lens to generate a clear image, and carrying out still shooting; the pattern is adjusted, the pattern is static and shot, the method for adjusting the pattern is that the width of all lines in the pattern is a pixels, the distance between two adjacent lines is b pixels, the display screen can control the change of the pattern, and compared with the pattern before adjustment, the pattern after adjustment means that all the lines in the pattern after adjustment move once in the same direction by taking a pixels as the distance; transmitting the acquired images to a visual image processing system;
step N3, placing the lens in the step N2 in a third station, illuminating the lens by adopting a light source generating annular light, adjusting the height of the lens in the third station, enabling an industrial camera to photograph the lens and present a clear image, and transmitting the image to a visual image processing system;
and step N4, placing the lens in the step N3 in a station four, illuminating the lens by adopting a light source generating bar light, adjusting the height of the lens in the station four, and enabling the industrial camera to photograph the lens, present a clear image and transmit the image to a visual image processing system.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111505023A (en) * | 2020-05-08 | 2020-08-07 | 苏州英士派克光电科技有限公司 | Optical detection method for transparent material |
| CN113092486A (en) * | 2021-04-07 | 2021-07-09 | 沧澜智能科技(昆山)有限公司 | Method suitable for detecting water ripples on surface of high-gloss surface product |
| CN113920090A (en) * | 2021-10-13 | 2022-01-11 | 无锡雪浪数制科技有限公司 | Preform appearance defect automatic detection method based on deep learning |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008111746A (en) * | 2006-10-31 | 2008-05-15 | Toppan Printing Co Ltd | Substrate inspection device and substrate inspection method |
| TW200839220A (en) * | 2007-03-26 | 2008-10-01 | Utechzone Co Ltd | Surface morphology defect inspection device and method |
| TW200907330A (en) * | 2007-08-09 | 2009-02-16 | Utechzone Co Ltd | Coaxial lighting surface defect inspection device and method thereof |
| TW200925588A (en) * | 2007-12-07 | 2009-06-16 | Utechzone Co Ltd | Defect inspecting device and its method thereof |
| CN101832945A (en) * | 2010-04-29 | 2010-09-15 | 中国科学院上海技术物理研究所 | Online detection method and device for defects of coated glass film |
| CN107014830A (en) * | 2016-03-10 | 2017-08-04 | 上海开皇软件科技有限公司 | ITO electro-conductive glass detection method and detection means |
| CN108490002A (en) * | 2018-03-06 | 2018-09-04 | 浙江工业大学 | A kind of microstructured prisms lens quality detection method |
-
2018
- 2018-10-26 CN CN201811259945.XA patent/CN111103309A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008111746A (en) * | 2006-10-31 | 2008-05-15 | Toppan Printing Co Ltd | Substrate inspection device and substrate inspection method |
| TW200839220A (en) * | 2007-03-26 | 2008-10-01 | Utechzone Co Ltd | Surface morphology defect inspection device and method |
| TW200907330A (en) * | 2007-08-09 | 2009-02-16 | Utechzone Co Ltd | Coaxial lighting surface defect inspection device and method thereof |
| TW200925588A (en) * | 2007-12-07 | 2009-06-16 | Utechzone Co Ltd | Defect inspecting device and its method thereof |
| CN101832945A (en) * | 2010-04-29 | 2010-09-15 | 中国科学院上海技术物理研究所 | Online detection method and device for defects of coated glass film |
| CN107014830A (en) * | 2016-03-10 | 2017-08-04 | 上海开皇软件科技有限公司 | ITO electro-conductive glass detection method and detection means |
| CN108490002A (en) * | 2018-03-06 | 2018-09-04 | 浙江工业大学 | A kind of microstructured prisms lens quality detection method |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111505023A (en) * | 2020-05-08 | 2020-08-07 | 苏州英士派克光电科技有限公司 | Optical detection method for transparent material |
| CN113092486A (en) * | 2021-04-07 | 2021-07-09 | 沧澜智能科技(昆山)有限公司 | Method suitable for detecting water ripples on surface of high-gloss surface product |
| CN113920090A (en) * | 2021-10-13 | 2022-01-11 | 无锡雪浪数制科技有限公司 | Preform appearance defect automatic detection method based on deep learning |
| CN113920090B (en) * | 2021-10-13 | 2022-08-30 | 无锡雪浪数制科技有限公司 | Prefabricated rod appearance defect automatic detection method based on deep learning |
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