EP3980760A1 - Method and device for optically inspecting containers - Google Patents
Method and device for optically inspecting containersInfo
- Publication number
- EP3980760A1 EP3980760A1 EP20711088.3A EP20711088A EP3980760A1 EP 3980760 A1 EP3980760 A1 EP 3980760A1 EP 20711088 A EP20711088 A EP 20711088A EP 3980760 A1 EP3980760 A1 EP 3980760A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- light
- camera
- exit surface
- containers
- camera image
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000007689 inspection Methods 0.000 claims abstract description 45
- 230000007547 defect Effects 0.000 claims abstract description 38
- 238000005286 illumination Methods 0.000 claims abstract 3
- 230000003287 optical effect Effects 0.000 claims description 16
- 238000001228 spectrum Methods 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 abstract 1
- 230000010287 polarization Effects 0.000 description 14
- 230000005855 radiation Effects 0.000 description 10
- 239000000463 material Substances 0.000 description 9
- 239000011521 glass Substances 0.000 description 8
- 239000003086 colorant Substances 0.000 description 6
- 238000010521 absorption reaction Methods 0.000 description 4
- 230000003760 hair shine Effects 0.000 description 4
- 235000013361 beverage Nutrition 0.000 description 3
- 238000009434 installation Methods 0.000 description 3
- 239000011159 matrix material Substances 0.000 description 3
- 241000196324 Embryophyta Species 0.000 description 2
- 238000004140 cleaning Methods 0.000 description 2
- 238000011109 contamination Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000004049 embossing Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 230000008719 thickening Effects 0.000 description 2
- 240000000111 Saccharum officinarum Species 0.000 description 1
- 235000007201 Saccharum officinarum Nutrition 0.000 description 1
- 241000209140 Triticum Species 0.000 description 1
- 235000021307 Triticum Nutrition 0.000 description 1
- 240000008042 Zea mays Species 0.000 description 1
- 235000016383 Zea mays subsp huehuetenangensis Nutrition 0.000 description 1
- 235000002017 Zea mays subsp mays Nutrition 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 239000007799 cork Substances 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000010017 direct printing Methods 0.000 description 1
- 239000000945 filler Substances 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 235000009973 maize Nutrition 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 239000011049 pearl Substances 0.000 description 1
- 239000000825 pharmaceutical preparation Substances 0.000 description 1
- 229940127557 pharmaceutical product Drugs 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000004064 recycling Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
- 238000011179 visual inspection Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- 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
-
- 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
- G01N21/8806—Specially adapted optical and illumination features
-
- 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
- G01N21/9018—Dirt detection in containers
-
- 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
- G01N21/9036—Investigating the presence of flaws or contamination in a container or its contents using arrays of emitters or receivers
-
- 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
- G01N21/8806—Specially adapted optical and illumination features
- G01N2021/8845—Multiple wavelengths of illumination or detection
Definitions
- the invention relates to a method and a device for the optical inspection of containers with the features of the preamble of claims 1 and 7, respectively.
- Such methods and devices are usually used to inspect the container for foreign bodies and / or defects.
- the containers are transported to an inspection unit with a lighting unit and a camera so that they can be inspected in transmitted light or in incident light.
- the lighting unit emits light from a flat light exit surface, which light is transmitted or reflected via the container and then captured with the camera as at least one camera image.
- the at least one camera image is then evaluated for intensity information using an image processing unit in order to identify the foreign bodies and / or defects in the container.
- such methods and devices are used in the side wall, floor and / or fill level inspection of empty containers or containers that have already been filled with a product.
- the containers for the detection of foreign bodies are usually inspected with a diffusely radiating light exit surface in order to suppress, for example, glass embossing or water droplets in the camera image.
- the foreign bodies can be, for example, dirt, product residues, remnants of labels or the like.
- a directionally emitting light exit surface is used to detect defects in order to intensify the resulting refraction of light in the camera image.
- defects for example, damage to the containers, such as chipped glass, can be involved. It is also conceivable that the material is incorrectly produced, such as, for example, local material thickening.
- DE 10 2014 220 598 A1 discloses an inspection device for transmitted light inspection of containers with a device for subdividing the light exit surface into at least two predominantly horizontally separated sub-areas, which can be optionally switched on and off for side wall inspection and / or closure head inspection of the container.
- No. 6,304,323 B1 discloses a method for identifying defects in bottles.
- EP 0 472 881 A2 discloses a system and a method for optical inspection of the bottom surfaces of transparent containers.
- US 2008/0310701 A1 discloses a method and a device for visual inspection of an object.
- EP 0 926 486 B1 discloses a method for the optical inspection of transparent containers using infrared and polarized visible light.
- DE 10 2017 008 406 A1 discloses an inspection device with color lighting for inspecting containers for contamination and three-dimensional container structures.
- a radiation source has several spatially separate radiation zones which emit radiation in different wavelength ranges or with different intensities.
- a local color contrast arises, while in the case of soiling, only a local brightness contrast arises and no local color contrast.
- the object of the present invention is to provide a method and a device for the optical inspection of containers with which both foreign bodies and defects can be detected with less effort and which require less space.
- the invention provides a method for the optical inspection of containers with the features of claim 1.
- Advantageous embodiments of the invention are mentioned in the subclaims. Extensive investigations by the applicant have shown that the light is refracted differently at the imperfections due to the associated local change in the container surface than in intact areas of the container. As a result, the light is deflected via the defective point from a different emission location of the light exit surface towards the camera than from the intact areas. Conversely, this is often less the case or not at all with foreign bodies, since, for example, contamination leads to local absorption of the light without significantly influencing the light path to the camera.
- the image processing unit evaluates the at least one camera image for location information on the emission locations, a defect can be differentiated from a foreign body, for example due to a local change in the emission location. Conversely, the intensity information can still be evaluated in order to identify the absorption of the light by foreign bodies particularly well with the most diffuse radiation characteristic of the light exit surface. Consequently, with the method according to the invention it is possible to know both foreign bodies and imperfections equally well with a single inspection unit. Because this is done with a single inspection unit, less installation space is required.
- the optical inspection method can be used in a beverage processing plant.
- the method can be upstream or downstream of a container manufacturing method, cleaning method, filling and / or closing method.
- the method can be used in a full bottle or empty bottle inspection machine.
- the method can be used to inspect returned returnable containers.
- the containers can be provided to hold drinks, food, hygiene articles, pastes, chemical, biological and / or pharmaceutical products.
- the containers can be designed as bottles, in particular as plastic bottles or glass bottles.
- Plastic bottles can specifically be PET, PEN, HD-PE or PP bottles. They can also be biodegradable containers or bottles, the main components of which are made from renewable raw materials such as sugar cane, wheat or maize. stand.
- the containers can be provided with a closure, for example with a crown cork, screw cap, zip fastener or the like.
- the containers can also be present as empties, preferably without a closure.
- the method is used to check the side wall, bottom, mouth and / or content of the containers.
- Foreign bodies can be dirt, product residues, residues of labels and / or the like.
- Defects can be, for example, damage to the containers, such as chipped glass.
- the material locations are incorrectly produced, such as, for example, local material thickenings or material tapering.
- the containers can be transported to the inspection unit as a container flow with a conveyor.
- the conveyor can comprise a carousel and / or a linear conveyor. It is conceivable, for example, that the transporter comprises a conveyor belt on which the containers are transported standing in an area between the lighting unit and the camera. Containers that hold one or more containers during transport (PUK) are conceivable.
- the container can also be transported held by side straps when e.g. B. the lighting illuminates the container bottom and the camera inspects the bottom through the container mouth.
- the lighting unit can generate the light with at least one light source, for example with a light bulb, a fluorescent tube or with at least one LED.
- the light can preferably be generated with a matrix of LEDs and emitted in the direction of the light exit surface.
- the light exit surface can be made larger than the camera view of the Benzol age. It is also conceivable that the light exit surface only illuminates part of the camera view of the container.
- the light exit surface can partially or completely diffuse the light.
- the light exit surface can preferably comprise a diffusing screen with which the light from the at least one light source is diffusely scattered over a large area towards the camera.
- An emission location can mean a local point or a flat section of the light exit surface here.
- the camera can capture the at least one of the containers and the light transmitted or reflected through it with a lens and with an image sensor.
- the image sensor can, for example, be a CMOS or a CCD sensor. It is conceivable that the camera transmits the at least one camera image with a data interface to the image processing unit. It is conceivable that the light is generated by the lighting unit, then shines through the container and then captured by the camera.
- the camera can for each pixel of the at least one Separate the wavelength properties of the captured transmitted or reflected light from the camera image.
- the image processing unit can process the at least one camera image with a signal processor and / or with a CPU and / or GPU. It is also conceivable for the image processing unit to include a storage unit, one or more data interfaces, for example a network interface, a display unit and / or an input unit. It is conceivable that the image processing unit evaluates the at least one camera image using image processing algorithms that are present as a computer program product in the storage unit.
- That the light emitted by the light exit surface is locally coded on the basis of a wavelength property and is captured by the camera in such a way that different emission locations of the light exit surface can be distinguished from one another in the at least one camera image
- the local coding of the emitted light on the basis of the wavelength property is adapted to a task, in particular to a container type.
- limits of the locally coded light can be adapted to a container height and / or width.
- the area of the light exit surface that varies with the wavelength can be enlarged or reduced.
- more colored LEDs can be controlled differently depending on the task at hand.
- a first color gradient filter can be exchanged for a second color gradient filter, in particular automatically or manually.
- the image processing unit evaluates the at least one camera image for location information of the emission locations in order to additionally recognize local material embossments, such as embossings, glass embossments, pearls and the like on the containers and / or to distinguish them from the foreign bodies.
- material embossments can be used as decorative elements, for example.
- the image processing unit can evaluate the at least one camera image for intensity information and location information of the emission locations in order to recognize areas with changed location information and changed intensity information as the container edge. Since both a darkening and a particularly large deflection of the light beams takes place on the edge of the container, the edge of the container can be recognized particularly easily. For example, in that the image processing unit applies the at least one camera image to a evaluates third local area with different intensity information and different location information compared to an environment in order to infer the presence of the container edge.
- the wavelength property of the emitted light can change continuously for local coding along at least one direction of the light exit surface. This enables particularly high-resolution, local coding, so that even particularly small imperfections and imperfections with little curvature can be distinguished from the foreign bodies.
- the emission locations of the light exit surface can continuously merge into one another, so that the wavelength property changes continuously over the light exit surface.
- the at least one direction of the light exit disk can lie in the plane of the light exit disk. It is conceivable that the light exit disk comprises a rectangular border, the at least one direction running collinear to at least one straight edge of the border.
- a wavelength property can mean here, for example, a color property of light. It is conceivable that the light exit surface emits the light from the various emission locations with different wavelengths or colors. For example, a filter with a continuously changing filter profile or several discrete filter sections can be arranged in the area of the light exit surface, so that the wavelength of the emitted light changes locally. It is also conceivable that the different wavelengths are emitted by correspondingly different light sources, in particular LEDs. The light can be emitted in the visible range and / or in the non-visible range of the wavelength spectrum. For example, the light can be perceptible to the human eye in the visible range and / or lie in a wavelength range from 380 nm to 750 nm.
- the non-visible area can be imperceptible to the human eye and / or lie in the UV or IR wavelength range. It is also conceivable that the visible area is combined with the non-visible area.
- the light exit surface could be coded with red and infrared light wavelengths.
- the camera can separate the wavelength property in the at least one camera image. For example, it can be a color camera with which the different colors are recorded in at least two, in particular three color channels.
- the color camera can include a Bayer filter to separate the colors.
- the light emitted by the light exit surface is coded with a polarization property in addition to the wavelength property.
- the camera can then separate both the color property and the polarization property in the at least one camera image.
- the polarization property can mean here that the light is emitted from the different emission locations of the light exit surface with different polarization directions in each case.
- a polarization filter with a continuously changing polarization curve or several polarization filters with different orientations can be arranged in the area of the light exit surface, so that the polarization of the emitted light changes locally.
- the camera separates the polarization property in the at least one camera image.
- it can comprise, for example, several image sensors each with a differently oriented polarization filter or a single image sensor with a polarization filter matrix.
- the camera can for this purpose comprise a sensor of the Sony IMX250MZR or IMX250MYR type.
- the image processing unit can evaluate the at least one camera image for a first local area with intensity information that differs from that of the surroundings in order to infer the presence of a foreign body. Because defects usually absorb light, they can be identified particularly easily via the differing intensity information in the at least one camera image.
- the image processing unit can evaluate the at least one camera image for a second local area with location information that differs from that of the surroundings in order to infer the presence of a defect. Because the flaw in the container deflects the light differently than the areas surrounding the flaw, it can be recognized particularly easily in this way in the at least one camera image. For example, the flaw in the at least one camera image can have a different color than its surroundings. This then suggests a different refraction of light than the environment and thus the defect.
- the at least one camera image can be separated into an intensity channel and a color channel with the image processing unit, the image processing unit recognizing the foreign bodies on the basis of the intensity channel and the defects on the basis of the color channel.
- the wavelength property can be a color property.
- the at least one camera image can be transformed into the HSV color space using known methods, the H channel being the color channel and the V Channel corresponds to the intensity channel.
- An intensity channel can mean a channel for a relative brightness, an absolute brightness or for an intensity.
- the invention provides a device for the optical inspection of containers with the features of claim 7 to solve the problem.
- Advantageous embodiments of the invention are mentioned in the subclaims.
- the lighting unit is designed to radiate the light emitted from the light exit surface in a locally coded manner on the basis of the wavelength property and because the camera is designed to capture the locally encoded light can be used independently of the emission characteristics of the light exit surface for the pixels of the camera image it can be determined from which of the emission locations the corresponding light component originates.
- the image processing unit is designed to evaluate at least one camera image for location information of the emission locations, a defect can be distinguished from a foreign body, for example due to a local change in the emission location.
- the intensity information can still be evaluated in order to identify the absorption of the light by foreign bodies particularly well with the most diffuse radiation characteristics of the light exit surface. Consequently, with the device according to the invention, it is possible to identify both foreign bodies and imperfections equally well with a single inspection unit. Because this is done with a single inspection unit, less installation space is necessary.
- the device for the optical inspection of containers can be designed to carry out the method according to any one of claims 1-6.
- the device can accordingly comprise the features described above, in particular according to one of claims 1-6.
- the device for optical inspection can be arranged in a beverage processing plant.
- the beverage processing system can comprise container treatment machines, in particular a container manufacturing machine, a rinser, a filler, a closer, a labeling machine, a direct printing machine and / or a packaging machine. It is conceivable that the device for inspection is assigned to one of the aforementioned container treatment machines.
- the device can be used for full or empty bottle inspection. It is conceivable, for example, that the device is used to inspect returned returnable containers.
- the lighting unit is designed in such a way that the wavelength property of the emitted light for local coding along at least one direction of the light exit surface continuously changes. This enables particularly high-resolution, local coding so that even particularly small imperfections and imperfections with complex geometry can be distinguished from the foreign bodies.
- the lighting unit can be designed to radiate the light with the wavelength property in different locations.
- the camera can be designed to detect the wavelength property in a spatially resolved manner.
- the lighting unit can include a graduated filter for the different wavelength properties and the camera a Bayer filter for color separation.
- the different emission locations of the light exit surface can be coded particularly easily by means of colors.
- this can also be done with a polarization filter in order to detect the polarization property of the light in addition to the wavelength property.
- the camera can be designed as a color camera. As a result, the wavelength property can be recorded spatially resolved with little effort.
- the color camera can preferably comprise a Bayer filter for separating the colors.
- the lighting unit comprises a white light source and a color gradient filter in order to radiate the light from the light exit surface in a locally coded manner.
- the color gradient filter can be a filter that is transparent for different colors along at least one direction of the filter.
- the lighting unit comprises several different light sources, in particular special LEDs, which emit different light spectra from one another in order to emit the light from the light exit surface in a locally coded manner.
- the light can be generated particularly efficiently with the lighting unit.
- the lighting unit can comprise several rows of LEDs adjacent to one another, the rows of LEDs emitting the different light spectra from one another, and each row of LEDs emitting LEDs with the same light spectrum. Because the light from adjacent rows of LEDs mixes, in particular through a diffuser, the wavelength property of the emitted light can change continuously along at least one direction of the light exit surface.
- Figure 1 an inventive embodiment of a method for optical
- FIG. 2 shows an exemplary embodiment according to the invention of a device for the optical inspection of containers as a perspective view
- FIG. 3 shows a detailed view of the light exit surface of the lighting unit from FIG.
- FIGS. 4A-4B show a side view of the light exit surface and the camera from the figures
- FIG. 5A shows the camera image during the inspection of the foreign body and the defect according to FIGS. 4A-4B on the basis of a wavelength property
- FIGS. 5B-5C the intensity channel G and the color channel C of the camera image I from the figure
- FIG. 1 shows an exemplary embodiment according to the invention of a method 100 for inspecting containers 2 as a flow chart.
- the method 100 is explained in more detail with reference to FIGS. 2-5C:
- FIG. 2 an exemplary embodiment according to the invention of a device 1 for the optical inspection of containers 2 is shown as a perspective view.
- the inspection unit 10 With the lighting unit 3 and with the camera 4.
- the transporter 5 is arranged, which is designed here only as an example as a conveyor belt on which the container 2 in the direction R between the lighting unit 3 and the Camera 4 are transported (step 101).
- the containers 2 are transported on the conveyor 5 as a container stream and are each visually inspected between the lighting unit 3 and the camera 4.
- the lighting unit emits light from the flat light exit surface 30 in order to illuminate the container 2 (step 102).
- the emitted light is transmitted via the container 2 to the camera 4 (step 104).
- the arrangement of the lighting unit 3 opposite the camera 4 means that the light is reflected via the container 2.
- the camera 4 is arranged on the inspection unit 10 in such a way that it detects the containers 2 and light transmitted through them in at least one camera image (step 105).
- the lighting unit 3 can comprise, for example, a matrix of LEDs which emit light onto the light exit surface 30.
- the light exit surface 30 can be designed as a diffuser in order to emit the light of the LEDs as diffusely as possible.
- the Lighting unit 3 locally encodes the light from the light exit surface 30 on the basis of a wavelength property (step 103). This is explained in more detail below with the aid of the exemplary embodiments in FIGS. 3-5C. Accordingly, the camera 4 is designed to capture the locally encoded light, so that different radiation locations of the light exit surface 30 can be distinguished from one another in the at least one camera image (step 106).
- the image processing unit 6 can be seen, with which the at least one camera image is evaluated for intensity information in order to identify foreign bodies and / or defects in the containers (step 107). This can be done, for example, with image processing algorithms known per se for recognizing local changes in the at least one camera image.
- the image processing unit 6 evaluates the at least one camera image for location information of the emission locations in order to distinguish the flaws from the foreign bodies (step 108).
- FIG. 3 shows a detailed view of the light exit surface 30 from FIG.
- the various emission locations 31-42 of the light exit surface 30 can be seen in detail, which are locally coded on the basis of the wavelength property.
- the various emission locations 31 - 42 each emit light with different wavelengths, in particular each with a different color. It is conceivable, for example, that the emission location 31 emits light with a wavelength of 750 nm (red light) and that the emission location 42 emits light with a wavelength of 380 nm (violet light). Correspondingly, the light wavelength is continuously shortened from the emission location 31 to the emission location 42, so that the emission locations 32-41 emit light with wavelengths in between. For example, the emission location 36 emits light with a wavelength of 580 nm.
- the wavelengths can be distributed continuously or in discrete steps over the emission locations 31-42. Likewise, the steps can be adapted or switched on to the requirements of the respective container topology to be processed.
- the wavelength property of the emitted light for local coding can be along at least one direction Rx, RY of the light exit surface 30 changes continuously.
- the light exit surface can use a color gradient filter to emit light with a color gradient that changes continuously in the direction RY, for example similar to the color gradient transversely to a rainbow.
- the camera 4 in this exemplary embodiment is designed as a color camera.
- FIGS. 4A-4B show a side view of the light exit surface 30 and the camera 4 from FIGS. 2 and 3 during the inspection of a foreign body 8 and a defect 7.
- the detail D of FIG. 4A is shown in FIG. 4B.
- the planar emitting light exit surface 30 with the various emission locations 31-42 can be seen in a lateral profile.
- the light is radiated flatly in the direction of the camera 4 and thus shines through the container 2.
- the container 2 here consists, for example, of a transparent glass material, so that the light is transmitted through the container 2.
- the camera 4 comprises the image sensor 41 and the lens 42 in order to capture the container 2 in at least one camera image. It is conceivable that the camera 4 is designed as a color camera with a Bayer filter.
- the light beam S1 can also be seen, which, starting from the emission location 39, shines through the container 2. It hits the foreign body 8, which absorbs part of its energy. Consequently, the foreign body 8 appears in the at least one camera image of the camera 4 with a reduced intensity compared to its immediate surroundings. Because the foreign body does not deflect the light beam S1, it appears in the at least one camera image with the same wavelength property of the emission location 39 as its immediate surroundings.
- the light beam S2 can also be seen, which, starting from the emission location 36, shines through the container 2 in the vicinity of the defect 7.
- the light is only absorbed to a small extent, so that the corresponding image point appears in the at least one camera image with a high intensity and the wavelength property of the emission location 36.
- the light beam S2 passes through the container 2 at a point at which the container inner wall 22 and the container outer wall 21 run plane-parallel to one another. Consequently, depending on the angle of incidence, the light beam S2 only experiences borrowed a slight offset, but no change in direction. As a result, the corresponding image point appears in the at least one camera image with high intensity and the wavelength property of the emission location 36.
- the defect 7 has local notch surfaces 71, 72 on the container outer wall 21.
- This can be, for example, a notch due to a chipping. Consequently, the light beams S3, S4 are deflected at the local notch surfaces 71, 72 by light refraction. More precisely, the light beam S3 is emitted from the emission location 38 and, when passing through the container 2, is deflected at the first notch surface 71 by refraction towards the camera 4. In contrast, the light beam S4, starting from the emission location 33, passes through the container 2 and is deflected towards the camera 4 at the second notch surface 72 by refraction of light. Accordingly, the defect 7 appears due to the local refraction of light at the notch surfaces 71, 72 in the at least one camera image with wavelength properties that differ from the surroundings.
- FIG. 5A shows a camera image I during the inspection of the foreign body 8 and the defect 7 on the basis of a wavelength property.
- the container 2 appears in the camera image I in front of the light exit surface 30. It can also be seen that the foreign body 8 is mapped as a darkened, first local area 8 '. In contrast, the defect 7 is mapped as a second local area 7 'with an intensity similar to that of the immediate surroundings, but it appears there in the upper area with the location information 33' of the emission location 33 and in the lower area with the location information 38 'of the emission location 38, since the rays, as shown in FIG. 4A, are deflected locally by the flaw 7.
- the emission locations 31-42 shown in FIGS. 3-4A are coded with different wavelengths of the emitted light.
- the emission location 31 emits light with a wavelength of 750 nm (red light) and the emission location 42 with a wavelength of 380 nm (violet light).
- the light wave length is correspondingly shortened from the emission location 31 to the emission location 42, so that the emission locations 32-41 emit light with wavelengths in between.
- the emission locations 33, 36 and 38 emit light with wavelengths of 680 nm (orange light), 580 nm (yellow light) and 510 nm (green light), respectively.
- the intensity channel G and the color channel C of the camera image I from FIG. 5A are shown in FIGS. 5B-5C.
- the image processing unit 6 shown in FIG. 2 first divides the camera image I shown in FIG. 5A into the intensity channel G and into the color channel C.
- the camera image I is divided into brightness values in intensity channel G and color values in color channel C, pixel by pixel, on the basis of an HSV color model.
- the image processing unit 6 then evaluates the intensity channel G of the camera image I for the first local area 8 ‘with intensity information that differs from the environment U1 in order to infer the presence of the foreign body 8. For example, this is done by means of a filter to detect fluctuations in brightness.
- the image processing unit 6 evaluates the color channel C of the camera image I for the second local area 7 'with location information which differs from the surroundings U2.
- the local area 7 ‘of the defect 7 appears in the upper area with the location information 33‘ (green) and in the lower area with the location information 38 ‘(orange).
- the immediate surroundings U2 have the location information 36 ‘of the emission location 36 (yellow). Since the second local area 7 ‘has a different location information 33‘, 38 ‘than its surroundings U2, the defect 7 can be distinguished from the foreign body 8.
- the image processing unit 6 After the detection of the foreign body 8 and / or the defect 7, the image processing unit 6 generates a signal that the container 2 has the foreign body 8 or the defect 7. On the basis of the signal, a switch can be controlled, for example, in order to channel the affected container 2 for renewed cleaning or recycling after the inspection.
- the lighting unit 3 is designed to radiate the light emitted by the light exit surface 30 in a locally coded manner based on the wavelength property, and because the camera 4 is designed to supply the locally coded light detect, can be determined for the image points of the camera image independently of the radiation characteristics of the light exit surface 30 from which the radiation locations 31-42 the corresponding light component originates.
- the image processing unit 6 is designed to evaluate the at least one camera image for location information from the emission locations 31-42, a defect 7 can be distinguished from a foreign body, for example due to a local change in the emission location 33, 38.
- the intensity information can still be evaluated in order to identify the absorption of the light by foreign bodies 7 particularly well with the most diffuse emission characteristics of the light exit surface 30. Consequently, with the method according to the invention, it is 100 or with the device 1 according to the invention possible, both foreign bodies? as well as Albertstel len 8 with a single inspection unit 10 can be seen equally well. Because this is done with a single inspection unit 10, less installation space is required for this.
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Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
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DE102019208295.5A DE102019208295A1 (en) | 2019-06-06 | 2019-06-06 | Method and device for the optical inspection of containers |
PCT/EP2020/056009 WO2020244817A1 (en) | 2019-06-06 | 2020-03-06 | Method and device for optically inspecting containers |
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EP3980760A1 true EP3980760A1 (en) | 2022-04-13 |
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EP20711088.3A Pending EP3980760A1 (en) | 2019-06-06 | 2020-03-06 | Method and device for optically inspecting containers |
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US (1) | US20220317054A1 (en) |
EP (1) | EP3980760A1 (en) |
CN (1) | CN113924475A (en) |
DE (1) | DE102019208295A1 (en) |
WO (1) | WO2020244817A1 (en) |
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FR3113131B1 (en) * | 2020-07-29 | 2023-03-31 | Tiama | Device and method for transmission inspection of containers comprising at least one light emitting diode light source |
DE102021115493A1 (en) * | 2021-06-15 | 2022-12-15 | Heuft Systemtechnik Gmbh | Process and device for full container inspection |
IT202200026136A1 (en) * | 2022-12-20 | 2024-06-20 | G D S P A | ARTICLE INSPECTION SYSTEM |
Family Cites Families (17)
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US5095204A (en) | 1990-08-30 | 1992-03-10 | Ball Corporation | Machine vision inspection system and method for transparent containers |
US6067155A (en) | 1997-12-24 | 2000-05-23 | Owens-Brockway Glass Container Inc. | Optical inspection of transparent containers using infrared and polarized visible light |
EP1006350A1 (en) | 1998-11-30 | 2000-06-07 | Kirin Techno-System Corporation | Method for detecting defects in bottles |
DE19953738C1 (en) * | 1999-11-09 | 2001-06-07 | Krones Ag | Inspection device for side wall inspection of vessels |
DE10017126C1 (en) * | 2000-04-06 | 2001-06-13 | Krones Ag | Transparent container optical checking method, has illumination light field intensity and/or imaging sensitivity matched to individual container transparency |
US20060092410A1 (en) * | 2004-10-28 | 2006-05-04 | Owens-Brockway Glass Container Inc. | Container inspection by directly focusing a light emitting die element onto the container |
AT8647U1 (en) * | 2005-08-08 | 2006-10-15 | Binder Co Ag | METHOD FOR DETECTING AND SORTING GLASS |
CN101297192B (en) | 2005-09-09 | 2012-05-30 | 萨克米伊莫拉机械合作社合作公司 | Method and device for directly monitoring object |
NL1031853C2 (en) * | 2006-05-22 | 2007-11-23 | Eagle Vision Systems B V | Method and device for detecting an unwanted object or defect. |
FR2958751B1 (en) | 2010-04-13 | 2012-05-25 | Iris Inspection Machines | METHOD FOR DETECTING DEFECTS IN GLASS ARTICLES AND INSTALLATION FOR CARRYING OUT SAID METHOD |
FR3005354B1 (en) * | 2013-05-03 | 2015-05-15 | Msc & Sgcc | METHOD AND DEVICE FOR OBSERVING AND ANALYZING OPTICAL SINGULARITES USED BY GLASS CONTAINERS |
DE102014216188A1 (en) * | 2014-08-14 | 2016-02-18 | Krones Ag | Optical inspection method and optical inspection device for containers |
DE102014220598B4 (en) | 2014-10-10 | 2023-07-13 | Krones Aktiengesellschaft | Inspection device and method for transmitted light inspection of containers |
JP7084012B2 (en) * | 2016-10-31 | 2022-06-14 | キリンテクノシステム株式会社 | Foreign matter inspection device and foreign matter inspection method for containers |
US10422755B2 (en) * | 2016-12-07 | 2019-09-24 | Applied Vision Corporation | Identifying defects in transparent containers |
DE102017008406B4 (en) * | 2017-09-07 | 2023-07-20 | Heuft Systemtechnik Gmbh | Inspection device and method using color illumination |
DE102017223347A1 (en) * | 2017-12-20 | 2019-06-27 | Krones Ag | Transmitted-light inspection device and transmitted-light inspection method for sidewall inspection of containers |
-
2019
- 2019-06-06 DE DE102019208295.5A patent/DE102019208295A1/en active Pending
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2020
- 2020-03-06 WO PCT/EP2020/056009 patent/WO2020244817A1/en active Application Filing
- 2020-03-06 CN CN202080041327.7A patent/CN113924475A/en active Pending
- 2020-03-06 EP EP20711088.3A patent/EP3980760A1/en active Pending
- 2020-03-06 US US17/596,084 patent/US20220317054A1/en active Pending
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US20220317054A1 (en) | 2022-10-06 |
WO2020244817A1 (en) | 2020-12-10 |
CN113924475A (en) | 2022-01-11 |
DE102019208295A1 (en) | 2020-12-10 |
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