CN1181136A - Method for checking glass container - Google Patents
Method for checking glass container Download PDFInfo
- Publication number
- CN1181136A CN1181136A CN 96193223 CN96193223A CN1181136A CN 1181136 A CN1181136 A CN 1181136A CN 96193223 CN96193223 CN 96193223 CN 96193223 A CN96193223 A CN 96193223A CN 1181136 A CN1181136 A CN 1181136A
- Authority
- CN
- China
- Prior art keywords
- container
- image
- light source
- sensor
- bubble
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
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Classifications
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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
- G01N21/90—Investigating the presence of flaws or contamination in a container or its contents
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- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
A method for checking a glass container (2) by counting, measuring and classifying bubbles formed in the container wall is disclosed. According to the method, an image of the container (2) is picked up by a sensor (6) sensitive to light waves that pass through the container (2) when it is placed between a light source (9) and the sensor (6), and the sensed image is analysed using an image processing algorithm based on bubble identification by means of the characterising light strength thereof. A device for carrying out the method is also disclosed.
Description
The present invention relates to a kind of method that detects glass container, this method comprises the step that the bubble that forms is counted, measured and classifies on the wall of said vesse.To come with reference to detection the present invention is carried out concrete description, though the invention is not restricted to this application to vial.The detection of this routine of carrying out in the manufacturing of vial is important.At first, thus can remove those has too much intended size bubble to the attractive in appearance of object and vial that physical strength has a negative impact.Secondly, grasp the controlled variable that above-mentioned defective especially can be regulated molten glass, thereby improve the refining degree in the stove.Usually, this detecting operation is undertaken by the operator, and the operator takes off the container as sample randomly, bubble is counted and is classified according to different size category.
This detection technique has number of drawbacks.At first, its result especially to the judgement of determining to depend on the operator of bubble size, therefore has higher subjectivity.In addition, the operator only he thinks can reflect to have in the limited area in zone that above-mentioned defective is a bubble and carries out this detection on bottle.From the result that this zone obtains, the operator is extrapolated to whole bottle, common like this causing the bubble quantity and bubble overestimate with these results.Therefore, the unusual out of true of the measurement carried out of operator.
In addition, such measurement is very tediously long inevitably, and usually can not repeat; But in fact, such detection one day only once was common.
The objective of the invention is a kind of like this method that detects glass container, this method can obtain accurate result and can finish fast, and produces the responsible official and want when to carry out just when carrying out.
According to the present invention, use a kind of method that detects glass container to realize this purpose, described method comprises the step that the bubble that forms is counted and classified on the wall of glass container.According to the method, the image of glass container is by the light wave sensor sensitive by glass container is caught, described glass container is placed between light source and the sensor, then, utilize based on coming the image processing algorithm that bubble is discerned is analyzed the image of being caught by the light intensity of expression bubble feature.
According to an embodiment preferred, in three-dimensional linear space, forming relative motion with rotation mode and/or at one dimension between glass container and the light source-sensing system.Most of wall, irrelevant with the extrapolation of measuring.Such as, for the bottle of columniform and axisymmetric shape, especially, can form the entire image of container by the rotatablely moving and vertical movement of the relative sensor/light-source system of vial.For example, for rectangular vessel,, can further obtain complete image by the relative motion of container on the horizontal direction of the axis that forms perpendicular to light source.
In addition, can capture image fast, this particularly since such fact promptly: can use based on coming the image processing algorithm that bubble is discerned is analyzed the image that is become by the light intensity of expression bubble feature.The inventor can prove that especially the light that sees through container that is received by sensor can make sensor can clearly illustrate bubble because of the contrast relevant with bubble.
In testing process, the present invention preferably takes measures to make sensor to focus on central authorities in the face of its chamber wall.Because this thickness is not uniformly usually, so, be that conceivable thickness focuses on according to predetermined value.Such as realizing above-mentioned focusing with the relative glass container of direction that the axis that passes light source and sensor parallels do relative motion by the sensor edge.
Because it is foundation that container detects especially contrast with the bubble in the image, so the color and luster that the present invention takes measures to consider to make the glass of container is useful.Such as, for this reason, previous step is to catch image and select of the strongest contrast of generation by different exposure time.And focusing and time shutter are adjusted operation and can come automatically carry out in very simple mode with those of ordinary skills' general knowledge.
Therefore, method of the present invention can be improved the result who obtains with prior art, and is suitable for comprising a large amount of glass containers of multiple shape and color.
In addition, fully beyond the consideration, the inventor provides the invention of another form, wherein, has especially improved degree of accuracy further by the contrast that reduces the bubble in the image of being caught.
According to a useful embodiment of the present invention, define the size of light source and position to reduce the contrast of image.According to this embodiment, can reduce the surperficial contrast that produces owing to such as surface imperfection, dust particle etc. widely, can keep enough contrasts simultaneously again for bubble.
According to another embodiment of the invention, it can combine with previous embodiments selectively, adjusts the depth of field of sensor so that remove object or the defective of directly facing in the chamber wall of light source from image, and reduces the surperficial contrast in the face of the wall of sensor.
According to another useful embodiment of the present invention, it can be selectively and one or two embodiment combination of front, and the sensor gain coefficient is lowly to help to reduce the contrast in the image of being caught selected.
This is because can produce such result promptly: according to above-mentioned one or more embodiments, the image that taken contrast reduces can improve the detection and Identification to bubble, especially because there is not a large amount of surface imperfection in image.
More preferably, with local imaging mode by and the container some steps relevant with relative motion between the light source/sensor system come the image of container for capturing, above-mentioned motion makes container to be shown by sensor fully.Then, with each topography divided into unit district (elementary regions) of the container of being caught.This preferred embodiment of the present invention can be avoided the deviation of container color and luster in the image, and these deviations especially cause owing to the variation of thickness.Like this one embodiment that especially interrelates with the minimizing of above-mentioned contrast, it is identified to make that bubble is easy in by the cellular zone that almost evenly color and luster constitutes.
According to another useful embodiment of the present invention and for consideration, before handling, the use image processing algorithm select its histogram to demonstrate the cellular zone of at least two peak values to express-analysis.The histogram of cellular zone is to represent above-mentioned zone with the form of scheming, and said figure spends with " ash " of the more accurate monochrome image of saying so of color and luster and be relevant corresponding to the pixel count of image.Each cellular zone all has the corresponding peak value of background of the image that at least one and image also promptly especially obtain according to thickness of container wall.The appearance of second peak value mainly is to have alveolate feature.Select cellular zone that its histogram shows two peak values at least also promptly this cellular zone may comprise a bubble, can save a large amount of time.This is because known when using image processing algorithm, the operation of reading captured pixel or image is very expensive from the execution time angle.But, have only the corresponding pixel of cellular zone of a peak value once read-only according to the preferred embodiments of the invention and its histogram.
Therefore, the present invention through describing like this can carry out than prior art, especially more accurate, the analysis of carrying out than the operator faster of analysis.Especially can often carry out container as required and detect, thereby can carry out several in one day; This just can control the refining of the molten glass in the stove before using accurately.
In addition, be limited with contacting of container, like this, the present invention with detect on the contrary by the operator, can be one to carry out above-mentioned detection when leaving mfg. moulding die immediately after manufacturing.This is because for the operator, detection is normally carried out behind the annealing steps of container; In this case, the detection delay of comparing with glass refining time in the stove is tangible.
According to the present invention, owing to carry out sooner, therefore improved control to smelting furnace to the detection of container, limited the risk of smelting furnace parameter shift widely.
In addition, it is very common providing the result by the forms of a large amount of predetermined size bubbles of every kilogram of tested glass.This result normally obtains after the Mass Calculation bubble quantity and bubble of reference container.For this reason, under the situation of the density of knowing glass, calculate its volume according to the external dimensions of container and its average thickness, thereby obtain its quality.Because the value of thickness is similar to, so this calculating also is similar to.
The form that another kind of the present invention is useful provides on each the part wall corresponding to topography thickness of container wall has been measured.Can carry out more accurate calculating then.Especially can use the technology of describing among the patented claim WO94/22740 to carry out above-mentioned thickness measure.Above-mentioned technology particularly has not to be needed and container such advantage that contacts.
The present invention also provides a kind of device of realizing said method.
Other advantage and useful feature will be from showing the description to one embodiment of the invention with reference to the accompanying drawings, and accompanying drawing represents to implement the figure of the present invention with an example of the device of detection bottle.
Accompanying drawing has shown the reduced graph of an example of said apparatus.This figure is included as the metal frame 1 that bottle 2 provides supporting and motion.Described motion on the one hand can be by the vertical direction shown in the arrow 3, on the other hand by the horizontal direction shown in the arrow 4 and can be undertaken by the direction that rotatablely moves of arrow 5 expressions.The combination of these three kinds of motions can make sensor or camera 6 take the complete image of the bottle 2 that remains on the fixed position.With regard to bottle with plane, especially to use along the tangential movement of arrow 4, for capturing the image of bottle fully, the length of this bottle needs this motion.
Camera 6 also can be moved along the horizontal direction shown in the arrow 8 by device 7 supportings.According to present embodiment, this motion can make camera focus.What be positioned at opposite side is light source 9.The inventor proved already, and particularly the image that obtains of indirect illumination is easier sees bubble than the illumination of other type by image that transillumination obtained.Light source can such as be rectangle and uniformly.
During test bottle 2, it is placed in above the frame 1.The operator obtains the feature of bottle 2 simultaneously from software, and software is controlled all operations afterwards automatically, especially motion.Bottle 2 necessary feature is its diameter, and its fixed thickness is desired thickness and the height that need analyze.Especially can not divide in the bottle bottom of bottle and test, bottle has various marks at the end, and these marks can make test distortion.Under the situation of opening light source 9, camera 6 is adjusted the time shutter according to the color and luster of bottle automatically by the continuous shooting by different exposure time.Then, camera 6 is focused, such as focusing on by moving along the direction shown in the arrow 8.Under the situation of the thickness of knowing bottle and position, automatic focus is arrived towards the center of the wall of camera 6.Then, under the situation of known bottle 2 diameter and thickness, adjust the depth of field as mentioned above like that, to reduce the contrast of image.
In addition, the gain coefficient of the position of light source 9 and size and camera 6 has been designed to reduce the contrast of image.In testing process, the motion and the software for shooting of bottle 2 are controlled.
With testing as lower device.Light source is a non-direct light source, and it comprises a fluorescent tube by the power supply of high frequency (40kHz) ballast device.Fluorescent tube is placed on the behind of crooked sleeve to guarantee non-direct illumination, by using the frosted glass screen to strengthen this illumination in the outlet of sleeve.Like this, illumination uniformly is stable in time on a rectangular window.
The camera that uses is monochrome (matrix) type, and Jiao's length of its object lens is 50mm.
According to those of ordinary skills' general knowledge, the motion of motorization and time shutter are controlled by the software of 486DX4 type computing machine.
Bottle to different color and lusters (green, colourless, amber) and different sizes is tested.
In test, measure with less than 0.4s/cm
2Time carry out, thereby, varying in size and make the time between 30 seconds and 2 minutes according to the bottle of being analyzed.
In addition, the identification by being reached bubble by the demonstration to bubble that image processing algorithm carried out that those of ordinary skill in the art adopted as the bubble diameter function is gratifying.In fact, the bubble quantity and bubble on the wall that can obtain appearing at bottle under the situation of the extrapolation step that need not cause the out of true result fast and by size they being distinguished particularly.In test, having detected diameter especially is the bubble of 100mm.
The invention provides another kind of selectable form, make it be applicable to the bottle of any kind.
At first, for the non-cylindrical bottle, such as the top of the bottle that detection is roughly taper, the invention provides a kind of motion gradually of camera, be the position of camera or the focusing of the more accurate camera of saying so, be driven in the height of the analyzed part of bottle.For detecting the bottle of non axial symmetry, bottle that comprises partial groove for example, the motion that the position of camera is driven in bottle rotatablely moving for example bottle.The present invention also provides the markd bottle of detection and does not make the mark failure analysis.For this reason, thus take measures to form the optics shielding in the zone comprise above-mentioned mark not detect it according to the reference marker that belongs to bottle machinery or optics.
The present invention of Miao Shuing can detect the container of any kind so that determine accurately and apace the existence of bubble and by size these bubbles are classified like this.Thereby can often detect and optimize glass refining zone in the stove.
Claims (11)
1, detects the method for glass container, this method comprises the step that the bubble that forms on the chamber wall is counted and classified, it is characterized in that: the image of said vesse is caught the light wave sensor sensitive that sees through container, said vesse places between light source and the sensor, and, utilize based on coming the image processing algorithm that bubble is discerned is analyzed the image of being caught by the light intensity of expression bubble feature.
2, according to the method for claim 1, it is characterized in that: between container and light source/sensor system, in three-dimensional linear space, form relative motion with rotation mode and/or at one dimension.
3, according to the method for claim 1 or 2, it is characterized in that: sensor focuses on the center in the face of its wall.
4, according to the method for one of aforesaid right requirement, it is characterized in that: the color and luster according to container is adjusted the time shutter.
5, according to the method for one of aforesaid right requirement, it is characterized in that: the size of qualification light source and position are to reduce the contrast of image.
6, according to the method for one of aforesaid right requirement, it is characterized in that: adjust the depth of field so that from image, eliminate in the face of the object in the chamber wall of light source.
7, according to the method for one of aforesaid right requirement, it is characterized in that: the sensor gain coefficient is lowly to help to reduce the contrast in the image of being caught selected.
8, according to the method for one of claim 2 to 7, it is characterized in that: in the mode of topography, by and the container some steps relevant with relative motion between the light source/sensor system come the image of container for capturing, and, with each part of the container of being caught as the divided into unit district.
9, method according to Claim 8 is characterized in that: select its histogram to show the cellular zone of at least two peak values.
10, according to Claim 8 or 9 method, it is characterized in that: with each part of the corresponding above-mentioned wall of above-mentioned topography on the thickness of measuring vessel wall.
11, be used to realize the device of the described method of one of claim 1 to 10, it comprises a light source, a sensor and a bearing support and picture Processing Algorithm, and said device is the relative position of light source/sensor system change bearing support relatively.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| FR95/15364 | 1995-12-22 | ||
| FR9515364A FR2742865B1 (en) | 1995-12-22 | 1995-12-22 | METHOD FOR CHECKING A GLASS CONTAINER |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN1181136A true CN1181136A (en) | 1998-05-06 |
Family
ID=9485859
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 96193223 Pending CN1181136A (en) | 1995-12-22 | 1996-12-19 | Method for checking glass container |
Country Status (9)
| Country | Link |
|---|---|
| EP (1) | EP0811156A1 (en) |
| JP (1) | JPH11502936A (en) |
| CN (1) | CN1181136A (en) |
| AU (1) | AU1180697A (en) |
| BR (1) | BR9607312A (en) |
| CA (1) | CA2212941A1 (en) |
| FR (1) | FR2742865B1 (en) |
| NO (1) | NO973853D0 (en) |
| WO (1) | WO1997023775A1 (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102933955A (en) * | 2010-04-26 | 2013-02-13 | 贝克顿迪金森法国公司 | Device, kit and method for inspection of an article |
| CN103163153A (en) * | 2013-03-28 | 2013-06-19 | 重庆绿色智能技术研究院 | Automatic light examining machine |
| CN103453848A (en) * | 2012-05-08 | 2013-12-18 | 业纳工业测量德国有限公司 | Device and method for measuring shape, position and dimension features of machine elements |
| CN104730087A (en) * | 2014-12-12 | 2015-06-24 | 南通路博石英材料有限公司 | Device for observing air bubbles in transparent layer of quartz glass crucible |
| CN105301007A (en) * | 2015-12-02 | 2016-02-03 | 中国计量学院 | Linear array CCD-based ABS gear ring defect online detection device and method |
| CN109191440A (en) * | 2018-08-24 | 2019-01-11 | 上海应用技术大学 | Glass blister detection and method of counting |
| CN110487811A (en) * | 2019-09-23 | 2019-11-22 | 贵州天地药业有限责任公司 | A kind of automatic lamp-checking machine |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE19829387C2 (en) * | 1998-07-01 | 2002-03-28 | Schott Glas | Optical method for detecting cracks in hollow glass bodies and associated arrangement |
| DE10027226C1 (en) | 2000-05-31 | 2001-10-18 | Krones Ag | Transparent drinks bottle inspection method has single camera used to provide 2 images evaluated separately with variation of exposure timing between images |
| US6872895B2 (en) * | 2002-02-12 | 2005-03-29 | Pressco Technology Inc. | Apparatus and method for providing spatially-selective on-line mass or volume measurements of manufactured articles |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4610542A (en) * | 1984-11-16 | 1986-09-09 | Owens-Illinois, Inc. | System for detecting selective refractive defects in transparent articles |
| JPS63304146A (en) * | 1987-06-04 | 1988-12-12 | Kirin Brewery Co Ltd | Inspecting device for drum part of bottle |
| JPH0627717B2 (en) * | 1988-04-13 | 1994-04-13 | 株式会社キリンテクノシステム | Bottle body inspection device |
-
1995
- 1995-12-22 FR FR9515364A patent/FR2742865B1/en not_active Expired - Fee Related
-
1996
- 1996-12-19 AU AU11806/97A patent/AU1180697A/en not_active Abandoned
- 1996-12-19 JP JP9523358A patent/JPH11502936A/en active Pending
- 1996-12-19 CN CN 96193223 patent/CN1181136A/en active Pending
- 1996-12-19 EP EP96942430A patent/EP0811156A1/en not_active Withdrawn
- 1996-12-19 BR BR9607312A patent/BR9607312A/en not_active Application Discontinuation
- 1996-12-19 CA CA 2212941 patent/CA2212941A1/en not_active Abandoned
- 1996-12-19 WO PCT/FR1996/002028 patent/WO1997023775A1/en not_active Application Discontinuation
-
1997
- 1997-08-21 NO NO973853A patent/NO973853D0/en unknown
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102933955A (en) * | 2010-04-26 | 2013-02-13 | 贝克顿迪金森法国公司 | Device, kit and method for inspection of an article |
| CN102933955B (en) * | 2010-04-26 | 2015-06-24 | 贝克顿迪金森法国公司 | Device, kit and method for inspection of an article |
| CN103453848A (en) * | 2012-05-08 | 2013-12-18 | 业纳工业测量德国有限公司 | Device and method for measuring shape, position and dimension features of machine elements |
| CN103453848B (en) * | 2012-05-08 | 2015-06-17 | 业纳工业测量德国有限公司 | Device and method for measuring shape, position and dimension features of machine elements |
| CN103163153A (en) * | 2013-03-28 | 2013-06-19 | 重庆绿色智能技术研究院 | Automatic light examining machine |
| CN103163153B (en) * | 2013-03-28 | 2015-05-20 | 中国科学院重庆绿色智能技术研究院 | Automatic light examining machine |
| CN104730087A (en) * | 2014-12-12 | 2015-06-24 | 南通路博石英材料有限公司 | Device for observing air bubbles in transparent layer of quartz glass crucible |
| CN105301007A (en) * | 2015-12-02 | 2016-02-03 | 中国计量学院 | Linear array CCD-based ABS gear ring defect online detection device and method |
| CN109191440A (en) * | 2018-08-24 | 2019-01-11 | 上海应用技术大学 | Glass blister detection and method of counting |
| CN110487811A (en) * | 2019-09-23 | 2019-11-22 | 贵州天地药业有限责任公司 | A kind of automatic lamp-checking machine |
| CN110487811B (en) * | 2019-09-23 | 2022-04-15 | 贵州天地药业有限责任公司 | Automatic lamp inspection machine |
Also Published As
| Publication number | Publication date |
|---|---|
| NO973853L (en) | 1997-08-21 |
| JPH11502936A (en) | 1999-03-09 |
| FR2742865A1 (en) | 1997-06-27 |
| EP0811156A1 (en) | 1997-12-10 |
| NO973853D0 (en) | 1997-08-21 |
| CA2212941A1 (en) | 1997-07-03 |
| MX9706236A (en) | 1998-08-30 |
| WO1997023775A1 (en) | 1997-07-03 |
| BR9607312A (en) | 1997-12-30 |
| AU1180697A (en) | 1997-07-17 |
| FR2742865B1 (en) | 1998-01-16 |
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Legal Events
| Date | Code | Title | Description |
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| C06 | Publication | ||
| PB01 | Publication | ||
| C01 | Deemed withdrawal of patent application (patent law 1993) | ||
| WD01 | Invention patent application deemed withdrawn after publication |