Method and device for checking a surface of an object
The method and device automate the inspection of aluminum rims using multi-angle illumination and AI evaluation, addressing labor-intensive and inaccurate current methods by ensuring high-accuracy gap and surface height measurements with reduced error susceptibility.
Patent Information
- Application Number
- PCT/EP2025/051325
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-04-05
- Filing Date
- 2025-01-20
- Publication Date
- 2025-07-24
AI Technical Summary
Current methods for inspecting aluminum rims are labor-intensive, prone to human error, and lack accuracy in measuring gap dimensions, with cumbersome reporting processes.
A method and device utilizing multiple light sources and cameras to illuminate and capture images of the rim surface from various angles, combined with AI evaluation for automated defect detection and measurement, allowing for high-accuracy gap and surface height measurements.
Enables fully automated, high-accuracy inspection of aluminum rims with reduced susceptibility to errors, simplifying the process and providing immediate digital feedback on quality characteristics.
Smart Images

Figure EP2025051325_24072025_PF_FP_ABST
Abstract
Description
[0001] Description
[0002] Method and device for checking a surface of an object
[0003] The invention relates to a method for checking the surface of an object, in particular for checking the surface of a rim, according to the preamble of claim 1 and to a device for carrying out the method according to the preamble of claim 11.
[0004] More specifically, the invention relates to a method for testing quality characteristics in the form of gap and / or surface height measurements on a rim according to the preamble of claim 21.
[0005] Methods and equipment for quality control of aluminum rims are well known. Currently, inspections are carried out by inspectors on a post-painting inspection platform with multiple stations, using visual inspection. The following defects are inspected there: defects in the paint surface, orange peel, dirt inclusions, pimples, scratches, paint run-off, defects on the outer rim well caused by rim collisions on the conveyor belts, defects on the outer rim well caused by scratches (e.g., during rim mounting), and / or fine surface scratches on the entire rim.
[0006] The inspection takes place at intervals of, for example, 10 seconds per station. The rims are then transported via conveyor belts and lifts to a palletizing station. Here, employees check the rims again for the above-mentioned criteria and also check the rim base for damage around the tire seal holes and the back of the rim flange for traces of paint. The rims are then manually sorted onto pallets according to type. Defective rims are sent via a conveyor belt for rework. State-of-the-art methods exist for checking gap dimensions on objects using a mechanical gauge. However, the results are not valid for many applications. Furthermore, mechanical probing is not always feasible. Creating measurement reports is cumbersome.
[0007] The present invention is based on the object of developing a method and a device of the type mentioned above in such a way that the inspection of the surface is simplified and the susceptibility to errors is reduced.
[0008] The present invention is also based on the object of developing a method and device of the type mentioned above in such a way that the inspection of the gap dimensions on rims is carried out automatically with high accuracy. A measurement report is also to be created in a simple manner.
[0009] According to one aspect of the invention, it is provided that the surface of the object, such as a rim, is illuminated from different directions with light sources, such as light segments, and is recorded at different angles with several measuring devices, such as cameras.
[0010] Preferably, the surface of the object is illuminated from different directions and / or angles with at least one light source, wherein images of the surface are taken from different directions and / or angles with at least one measuring device.
[0011] The images can be captured using various lighting setups. The at least one light source and / or the at least one measuring device can be aligned in different directions and / or angles, and / or the light sources can be switched individually or in combination for each image capture, and / or one or more images can be captured with one or more active light sources using each of the measuring devices. The light sources used are preferably flat light segments that are combined to form a hemispherical dome covering the object.
[0012] Alternatively, light-emitting diodes can be used as light sources, which emit light against a semi-transparent, internally mirrored curved surface, whereby the light is refracted at the surface and reflected homogeneously onto the surface of the object.
[0013] The images are preferably stored locally in a processing unit and / or uploaded to a cloud and evaluated by an AI unit. Furthermore, the images can be checked with an AI algorithm and / or undergo image preprocessing to generate new images from the images in which quality or defect characteristics are more clearly visible. The quality or defect characteristics are preferably marked and visually displayed in the generated images.
[0014] Preferably, matrix cameras or line scanning cameras, white light interferometers, convective measuring systems and / or laser triangulation sensors are used as measuring devices.
[0015] Preferably, the measuring devices, such as cameras (for example, 17 of them), are arranged in a housing, such as a dome, that at least partially encloses the object. The dome can be referred to as a multi-camera dome setup.
[0016] The lighting can be in different wavelengths and can be direct, indirect or with grazing light projection.
[0017] Preferably, the measuring devices and the light sources are arranged in one station.
[0018] Alternatively, several stations can be provided, each with one or more measuring devices and one or more light sources.
[0019] It is possible to inspect the object, such as a wheel rim, at a standstill, in cyclic operation, or in continuous motion. The goal of the method according to the invention is a fully automated inspection based on trained defect patterns such as:
[0020] - Scratches
[0021] - dirt inclusions
[0022] - Microporosities
[0023] - Orange peel
[0024] - Color variations
[0025] - processing marks
[0026] - Perform picking without preselecting the object type, such as rim type. The system is trained to work intuitively, like a human.
[0027] Alternatively, the type of object, such as the rim, can be detected using a measuring device such as a camera or specified by the system. A program specifically stored for this object, such as the rim, can then be executed.
[0028] This allows automated surface inspection of, for example, automotive figs to be carried out easily during final production inspection.
[0029] The goal is to perform quality control with a fully automated, artificial intelligence-based system. The dimensions and number of cameras, with or without a robot, are freely selectable.
[0030] Furthermore, the invention relates to a device for checking a surface of an object, in particular for checking the surface of a rim.
[0031] The device preferably comprises a dome-shaped lighting arrangement which at least partially encloses the surface of the object to be inspected, with at least one light source which is designed to illuminate the surface of the object from different directions and / or angles, wherein the device has at least one measuring device which is designed to record images of the surface from different directions and / or angles. According to a first embodiment, the light sources are designed as flat light segments, wherein the dome-shaped lighting arrangement is formed from the individual light segments and wherein preferably each of the light segments is assigned a measuring device, in particular arranged in an opening of the light segment and directed into the interior of the dome-shaped arrangement.
[0032] According to a second inventive embodiment, the hemispherical arrangement is a dome made of a semi-transparent material, with an internally reflective surface and an externally translucent surface, wherein the light sources in the form of light-emitting diodes are arranged in a ring shape on an inner circumferential edge of the dome and that the at least one measuring device can be positioned outside the dome in different directions and / or angles.
[0033] According to a further aspect, the invention relates to an inventive method for testing quality features in the form of gap and / or surface height measurements on a rim and an inventive device for carrying out the method.
[0034] According to the invention, it is provided that a 3D image of the complete rim or of partial areas of the rim is recorded by means of a measuring device, preferably in the form of a 2D camera and a separate laser or LED line, a 3D laser with triangulation sensors, 3D snapshot sensors, white light interferometers or convolutional measuring systems.
[0035] Particularly preferred are gap and / or surface height dimensions on a rim, in particular between an edge of a recess of the rim and an edge of an insert element inserted in the recess.
[0036] Preferably, the measuring device for recording images and / or measured values is attached to an axle and moved over the rim.
[0037] Particularly preferably, the measuring device can be attached to a robot arm of a robot and thus be moved to specific inspection points. The measuring device can also be mounted above a conveyor belt on which the rim is moved beneath the measuring device.
[0038] The measuring device preferably comprises a camera, such as a 2D camera, and a sensor device, preferably a 3D sensor, such as GOCATOR 2500 (registered trademark).
[0039] A 4-axis robot can be used, by means of which the camera and / or the sensor device can be positioned in x / y / z positions on the rim.
[0040] A 6-axis robot can also be used, allowing the camera and / or sensor device to be positioned in x / y / z positions on the rim as well as at various inclination angles.
[0041] Particularly preferably, the camera is arranged in the form of a 2D camera above the rim, by means of which the rim type of the rim is determined, wherein the robot always controls the sensor device to the defined measuring points according to a position, in particular rotational position, of the rim.
[0042] The measurement is taken from a surface of the insert element, which is made of carbon or plastic, for example, to a surface of the rim, which is made of aluminum, for example. The measurement can also be taken from a surface of a rim coating, such as a clear coat on a rim material such as aluminum, to a surface of a coating on the insert element, such as a clear coat on the insert element material, such as carbon or plastic.
[0043] With the sensor device mounted on the robot, the layer thickness of a layer protecting the rim or parts of the rim, such as clear coat, can also be measured at different positions on the rim and / or the insert element and the progression of the layer thickness of the coating, such as clear coat, can be checked.
[0044] According to one embodiment of the method, the entire rim is scanned, with the test pieces being tested based on the acquired data, i.e., in the complete 3D point cloud. Alternatively, the test can be performed on the cross-section of the rim in the area of the measuring point.
[0045] When testing the cross-section of the rim, the same measuring point is measured several times, preferably 10 times each, with the minimum value, maximum value, maximum deviation, average deviation and thus the average value of the preferably 10 measurements being recorded as the measured value for this measuring point.
[0046] In addition to gap and surface height measurements, the quality characteristics to be tested also include the surface qualities of the rim or parts of the rim, e.g. an applied paint layer.
[0047] Further details, advantages and features of the invention emerge not only from the claims, the features to be derived from them - individually and / or in combination, but also from the following description of exemplary embodiments to be derived from the drawings.
[0048] They show:
[0049] Fig. 1 is a schematic side view of a first embodiment of a device for testing a rim,
[0050] Fig. 2 is a plan view of the device according to Fig. 1,
[0051] Fig. 3 is a perspective view of the device according to Fig.l,
[0052] Fig. 4 a working area of a camera,
[0053] Fig. 5 a first lighting setup,
[0054] Fig. 6 a second lighting setup,
[0055] Fig. 7 a third lighting setup, Fig. 8 a fourth lighting setup,
[0056] Fig. 9 a fifth lighting setup,
[0057] Fig. 10 a sixth lighting setup,
[0058] Fig. 11 a) a display of error-free test points,
[0059] Fig. 11 b) a display of faulty test points,
[0060] Fig. 12 a) an indication of a faulty test point,
[0061] Fig. 12 b) an indication of a fault-free test point,
[0062] Fig. 12 c) an indication of a faulty test point,
[0063] Fig. 12 d) an indication of a fault-free test point,
[0064] Fig. 13 a) a sectional view of a second embodiment of a device for testing an object,
[0065] Fig. 13 b) a bottom view of the device according to Fig. 13 a),
[0066] Fig. 14 is a perspective view of a first embodiment of a testing device for testing a rim,
[0067] Fig. 15 is a front view of the testing device according to Fig. 1,
[0068] Fig. 16 is a schematic view of a second embodiment of a testing device,
[0069] Fig. 17 a first 3-D image of the complete rim,
[0070] Fig. 18 a second 3-D image of the complete rim, Fig. 19 a diagram with measured values of a gap and surface dimension,
[0071] Fig. 20 a 3-D diagram of a surface section with measured values of a gap and surface dimension,
[0072] Fig. 21 a diagram with measured values of a gap and surface dimension,
[0073] Fig. 22 the diagram like Fig. 20 with auxiliary circles for defining measuring points,
[0074] Fig. 23 the diagram like Fig. 20 with defined measuring points and
[0075] Fig. 24 shows the diagram in Fig. 20 with measuring lines for determining a gap and surface dimension.
[0076] Fig. 1, 2 and 3 show in side, top and perspective views a testing device PV1 for carrying out the method according to the invention with a lighting arrangement BAI enclosing the object F, such as a rim, in the form of a dome lighting or cupola lighting, with a plurality of cameras Kl to Kl7 and with a plurality of light segments LI to L25.
[0077] The rim F can be inserted or conveyed manually or automatically on a conveyor belt (not shown) under the dome DB1. The rim F can be positioned and / or rotated automatically or manually, and in particular, it can be raised and / or lowered automatically within the dome BAI. It is also possible to raise the dome BAI at the beginning of a test to insert the rim F manually or automatically via a conveyor belt, lower it during the test, and raise it again after the test to release the rim F.
[0078] The goal is to achieve process-reliable image capture using various lighting setups, allowing an inspector to identify quality characteristics, such as paint defects, on a PC monitor. These quality or defect characteristics are loaded into an AI evaluation unit, which trains a neural network that is trained to recognize these quality or defect characteristics.
[0079] The BAI dome with its multitude of light segments LI to L25 is designed as a multi-channel octadome lighting system and implements a BAI dome lighting system with, for example, 17 positions for the cameras Kl to Kl 7 and, for example, 25 switchable light segments LI to L25. The light segments LI to L25 are arranged in such a way as to be able to illuminate the surface OF or an edge RF of the rim F at different angles in the range from 0° to 90° and different directions in the range from 0° to 360°.
[0080] The light segment LI is arranged, for example, parallel or substantially parallel to the surface 16 of the rim F and illuminates it at an angle of 90° from above.
[0081] Using the light segments L2 to L9, the surface can be illuminated at an angle of approximately 45° from various directions, e.g., 0°, 45°, 90°, 135°, 180°, 225°, 270° and / or 315°.
[0082] Using the light segments L10 to L25, the surface OF can be illuminated from different directions at an angle of, for example, 0° and the edge RF at an angle of, for example, 90°.
[0083] The alignment of the light segments LI to L25 and / or the cameras Kl to Kl7 can be adjusted. The light segments LI to L25 can be switched individually or in combination for each image acquisition. The light can be switched manually via buttons or automatically via a PC and cameras.
[0084] Fig. 4 shows one of the cameras Kl to Kl 7. The camera can be selected purely as an example from models 5MP monochrome, 20MP monochrome, 20MP color or a combination of the models. At least three cameras should be mounted and aligned at fixed angles, e.g. 90° from above, angle one and angle two. The camera is preferably assigned to a light segment and, for example, arranged in an opening of the light segment, whereby the orientation of the light segment corresponds to the orientation of the camera. However, the camera can also be individually oriented. Image recording can be triggered manually by an inspector. The images of the rims are recorded together and saved locally on a computer unit. The images can be uploaded manually or automatically to a cloud and evaluated there by a Kl unit (AI = artificial intelligence). The results are marked in the evaluated image and thus visually displayed.Image capture is done manually or automatically. Image uploading is done manually or automatically. Image analysis by the AI analysis unit is initiated manually or automatically, but is performed automatically within the AI analysis unit. The resulting images are opened and presented manually or automatically.
[0085] Each camera Kl to Kl 7 takes one or more images with one or more active light segments, which are shown as examples in Fig. 5 to 10. The different light settings are required to make every possible defect visible. Preferably, a set of images of around 100 to 400 images is taken for a rim F. These images are checked for direct inspection using a Kl algorithm or undergo image pre-processing in order to generate new images from the images on which the defects are more clearly visible. The quality features or defect features FS are identified in the images for the inspector by frames RR1, RR2, RR3 and RR4, e.g. in the color “red” and are displayed on a monitor (Fig. 11 b) and Fig. 12 c)). Areas that meet the required quality criteria are marked by frames RG1, RG2, RG3 and RG4, e.g. B. shown in the colour “green” (Fig. 11 a) as well as Fig. 12 a), 12 b) and Fig. 12 d)).
[0086] The system operates fully automatically and autonomously. It has a digital trigger to start the test and provides the result as a digital output. This allows the system to be used exactly at the position on the first test stage, without the need for time-consuming retooling. The process remains unchanged, and the reject section is integrated as before. Input and output signals via network and industrial protocols such as ProfiNet, OPC UA, and others are also possible.
[0087] Fig. 13 a) shows a second embodiment of a testing device PV2 for testing a surface OF of an object F. The testing device PV2 comprises an illumination arrangement BA2 in the form of a semi-transparent dome HTK for homogeneous illumination of the surface OF of the object F, e.g. in the form of a rim. The dome HTK is made of a semi-transparent material which is reflective on the inside and transparent, i.e. translucent, on the outside. The dome HTK is hemispherical. The light emitted by light sources LQ is refracted at a reflective surface SP inside the dome HTK and projected homogeneously onto the surface OF of the object F.
[0088] The light sources LQ are arranged in a ring-shaped manner in the form of LEDs around an inner peripheral edge R. The light sources LQ can be switched on either completely or in several segments one after the other.
[0089] Single-color LEDs in the infrared, visible or ultraviolet spectrum, as well as RGB LEDs or a combination of both can be used.
[0090] The inspection device PV2 also includes one or more cameras K. In the illustrated embodiment, several cameras K can be positioned anywhere outside the semi-transparent dome HTK. Since the dome HTK is translucent from the outside, the cameras K can be used to inspect the object F under or inside the dome HTK from any position.
[0091] In addition, an external light source ELQ, such as a pattern projector, can be provided, by means of which a light pattern can be projected from the outside into the interior of the dome HTK onto the surface OF of the object F. The pattern can then be evaluated by the camera(s) K. This allows inspections with different lighting setups without having to move the object F out of the dome HTK.
[0092] Fig. 14 and 15 show a first embodiment of a device 10 for testing gap and / or surface height dimensions on a rim 12. In an end face 14 of the rim 12, such as a forged rim, at least one recess 16 is formed, in which an insert element 18, in particular an aerodynamic flow element, made of, for example, plastic, such as carbon, is mounted.
[0093] The device 10 is designed to check the correct installation of the insert elements 18 in the recesses 16 of the rim 12. Since the insert elements 18 have an aerodynamic function, it is important to check a gap dimension SM between an outer edge 20 of the insert element 18 and an edge 22 of the recess 16 and / or to check a height dimension HM between a surface or end face 24 of the rim 12 and a surface or end face 26 of the insert element 16. The required accuracy is in the range of approximately ± 0.4 mm.
[0094] To carry out the method, measurement points MP are defined. A measurement point can be, for example, the upper edge of a coating, such as protective varnish, of the rim 12, or of the insert element 16.
[0095] The device 10 is further designed so that it can be flexibly adapted to different models of the rim 12. In the described embodiment, the rim 12 has a black, glossy aluminum surface. The insert element 18 is made of a plastic with a carbon structure, which is coated with a clear varnish. It is understood that the teachings of the invention are not limited to the above-mentioned surface materials or structures. The test criteria are the gap size and the surface dimension. The scanning range and thus the maximum rim size are determined by the rim diameter in the range of 24" and the rim height in the range of 13.5".
[0096] The device 10 comprises a test cell 28 with a measuring device 30, with which, in particular, a three-dimensional image of the entire rim 12, e.g., the front side 14 or a partial area of the rim 12, can be recorded. The measuring device 30 comprises a camera 32, such as a 2D camera, and a sensor device 34 in the form of a separate laser or LED line, a 3D laser with triangulation sensors, a 3D snapshot sensor, a white light interferometer, and / or a convolutional measuring system.
[0097] In the illustrated embodiment, the camera 32 and the measuring device 34 are connected to a handling device 36, such as the robot arm of a multi-axis robot, and can be moved above the rim 12 in x / y / z positions and / or at various inclination angles to defined measuring points in order to perform measurements. The camera 32 can also be arranged within the test cell 28, e.g., on a ceiling of the test cell 28 above the rim 12. The measurement result can be processed by a computing unit 38, such as an image processing unit, and visualized on an operating and / or display unit 40 and displayed via digital inputs / outputs. Communication is also possible, e.g., via the TCP / IP or OPC UA protocol. Optionally, also via ProfiNet.
[0098] The testing procedure is carried out as follows:
[0099] The rim 12 is manually placed by a worker onto a product carrier 42 which is mounted on an extendable drawer 44 of the test cell 10.
[0100] Alternatively, it is possible for the rim 12 to be transported automatically, e.g., by means of a conveyor belt 46, through the test cell 28 and for the rim 12 to be held mechanically in place for the duration of the test, or for the conveyor belt 46 to be stationary for the duration of the test (Fig. 16).
[0101] Procedural steps:
[0102] • The drawer 44 of the test cell 28 extends
[0103] • The worker places the rim 12 cleaned of oil and dirt on the goods carrier 42
[0104] • Rim 12 does not need to be oriented
[0105] • The test procedure is started by pressing an external switch o Alternatively, the process can also be started by scanning a label or fully automatically by detecting that a rim is ready using the camera 32.
[0106] • The drawer 44 moves into the test cell 28
[0107] • Close the doors of the test cell 28 so that the test room is protected from strong external light influences
[0108] • Lock the doors
[0109] • The camera 32 takes a first picture from above (Fig. 17 and 18)
[0110] • The image is processed in the image processing system 38 and displayed on the operating and / or display unit 40, such as a touch display
[0111] • The camera 32 checks the rotational position of the rim 12 on the product carrier 42 based on a feature of the rim 12, such as the valve hole. • The control of the robot 36 receives the rotational position of the rim 12 from the image processing system 38 and runs a test program.
[0112] • The gap dimension “Gap” and the surface dimension “Flush” are checked at a large number of positions according to the test program, e.g. 30 positions, on the rim 12 using the 3D sensor 34
[0113] • Figures 17 and 18 show images taken using laser training, which creates a complete 3D image of the rim 12. The gap and height measurements can be measured at several hundred points. A series of measurements is shown in Figures 19 and 20.
[0114] • The measured values can be output as the smallest distance, the largest distance and as an average value over all measuring points, each with its own tolerances
[0115] • The values are displayed on the visualization on the rim 12 (Fig. 6 to 15)
[0116] • The displayed values are framed in color (Fig. 11 and Fig. 12): Green for “OK”, yellow for “in the limit” and red for “out of tolerance”
[0117] • After the test, the doors unlock
[0118] • Open the doors
[0119] • Drawer 44 moves out
[0120] • The interior of the test cell 28 lights up green if the test is passed
[0121] • If the test is not passed, the operator must confirm this on the control / display unit 40
[0122] • The rim 12 can be removed manually by the worker
[0123] • The next rim 12 can be placed
[0124] • The test data including the set tolerance range and test values from the sensor are saved in a file, such as a .csv file, so that they can be opened in Excel
[0125] Fig. 20 shows a 3-D representation of a section along a gap 24 which forms between the edge 20 of the insert element 18 and the edge 22 of the recess 16 of the rim 12.
[0126] Fig. 21 shows a side profile of the insert element 18 and the rim 12 with recess 16 and gap 24. To determine measurement points MP1 to MP4, auxiliary circles HK1, HK2 are adjusted to the radii RI, R2 of the edges 20, 22. The radii RI, R2 are probed to the measurement curves MK1, MK2 of the surfaces 20, 22, and the measurement points MP1 to MP4 are defined by radius at a position in degrees, measured from the center. The position of the measurement point can be found in the product specification drawing.
[0127] The position of the measuring points on the probed radius is defined in degrees, measured from the center of the probed circle. The degree can be taken from the component drawing. The defined measuring points MP1, MP2, MP3, and MP4 are probed to determine the gap dimension SM and / or the height dimension HM.
[0128] Fig. 23 shows the defined measuring points MP1, Mp2, MP3 and MP4, which are probed to determine the gap dimension SM and the height dimension HM.
[0129] Fig. 24 shows the gap dimension SM “Gap” and the height dimension HM “Flush” based on the radii RI, R2, the measuring points MP1 to MP4 or a combination of these.
Claims
Claims 1. A method for checking the surface of an object, in particular for checking the surface of a rim, characterized in that the surface of the object is illuminated from different directions and / or angles with at least one light source and that images of the surface are taken from different directions and / or angles with at least one measuring device.
2. Method according to claim 1, characterized in that the images are recorded with different lighting setups, wherein an alignment of the at least one light source and / or the at least one measuring device is set in different directions and / or different angles and / or wherein preferably the light sources are individually switched or in combination for each image recording and / or that one or more images with one or more active light sources are recorded with each of the measuring devices.
3. Method according to claim 1 or 2, characterized in that a matrix camera, a line scanning camera, a white light interferometer, a convolutional measuring system and / or a laser triangulation sensor is used as the measuring device.
4. Method according to at least one of the preceding claims, characterized in that flat light segments are used as light sources, which are combined to form a hemispherical dome covering the object.
5. Method according to at least one of the preceding claims, characterized in that light-emitting diodes are used as light sources which emit light against a semi-transparent, internally mirrored curved surface, the light being refracted at the surface and reflected homogeneously onto the surface of the object.
6. Method according to at least one of the preceding claims, characterized in that the images are stored locally in a computing unit and / or that the images are loaded into a cloud and evaluated by an AI unit and / or that the images are checked with an AI algorithm and / or that the images undergo image pre-processing in order to generate new images from the images on which quality or defect features are more clearly visible and / or that the quality or defect features are marked and visually displayed in the generated images.
7. Method according to at least one of the preceding claims, characterized in that the illumination is carried out in different wavelengths and / or that the illumination is carried out both directly and indirectly and / or that the illumination is carried out with a light pattern projection, such as grazing light projection.
8. Method according to at least one of the preceding claims, characterized in that the object, such as a rim, is tested at a standstill, in cyclical operation and / or in continuous movement.
9. Method according to at least one of the preceding claims, characterized in that a fully automatic control of the images of the surface is carried out using trained defect images such as: - Scratches - dirt inclusions - Microporosities - Orange peel - Color variations - processing marks - Picking is performed without pre-selecting an object type, such as rim type.
10. Method according to at least one of the preceding claims, characterized in that a type of object, such as rim type, is recognized by means of one of the measuring devices, such as a camera, or is specified by the system and that a program specifically stored for this object, such as rim, is carried out.
11. Device for checking the surface of an object, in particular for checking the surface of a rim, characterized in that the device comprises a dome-shaped lighting arrangement which at least partially encloses the surface of the object to be checked, with at least one light source which is designed to illuminate the surface of the object from different directions and / or angles and in that the device has at least one measuring device which is designed to record images of the surface from different directions and / or angles.
12. Device according to claim 11, characterized in that the light sources are designed as flat light segments, that the dome-shaped lighting arrangement is formed from the individual light segments and that preferably each of the light segments is assigned a measuring device, in particular arranged in an opening of the light segment and directed into the interior of the dome-shaped arrangement.
13. Device according to claim 11 or 12, characterized in that the hemispherical arrangement is a dome made of a semi-transparent material, with an internally reflective surface and an externally translucent surface, wherein the light sources in the form of light-emitting diodes are arranged in a ring shape on an inner circumferential edge of the dome and that the at least one measuring device can be positioned outside the dome in different directions and / or angles.
14. Device according to at least one of the preceding claims, characterized in that the measuring device is a matrix camera, a line scanning camera, a white light interferometer, a convolutional measuring system and / or a laser triangulation sensor.
15. Device according to at least one of the preceding claims, characterized in that the light segments have an opening and that the measuring device is arranged in the opening.
16. Device according to at least one of the preceding claims, characterized in that the at least one measuring device can be positioned as desired outside the semi-transparent dome by means of a handling device, such as a robot arm.
17. Device according to at least one of the preceding claims, characterized in that an external light source can be positioned as desired outside the semi-transparent dome.
18. Device according to at least one of the preceding claims, characterized in that the external light source is a pattern projector by means of which a light pattern is projected through the semi-transparent dome onto the surface.
19. Device according to at least one of the preceding claims, characterized in that the LEDs can be switched on simultaneously or in succession in several segments.
20. Device according to at least one of the preceding claims, characterized in that the LEDs are single-color LEDs with an infrared, visible or ultraviolet spectrum and / or that the LEDs are RGB LEDs or a combination of LEDs and RGB LEDs.
21. Method for testing quality features on a rim, wherein at least one image of the rim is recorded and evaluated by means of a measuring device, characterized in that in a testing room sealed off from external light influences, the at least one image is recorded in the form of a 3D image of the complete rim or of partial areas of the rim by means of the measuring device in the form of a 3D sensor, wherein the measuring device is moved with a handling device above the rim in x / y / z positions and / or at different angles of inclination to defined measuring points in order to record the images and that the images are processed by means of an image processing unit, wherein the quality features are recorded and visualized on an operating and / or display unit.
22. Method according to claim 21, characterized in that, as a quality feature, a gap and / or surface height measurement between an edge of a recess in the rim and an edge of an insert element inserted in the recess is measured, wherein a 3D image of a section along a gap that forms between the edge of the insert element and the edge of the recess in the rim is recorded, wherein edge boundaries of the insert element and the recess are visually displayed as measuring curves, wherein, to determine measuring points MP1 to MP4 on the measuring curves, radii RI, R2 of auxiliary circles HK1, HK2 are adapted to the edges 20, 22, wherein the radii RI, R2 are probed to the measuring curves MK1, MK2 of the surfaces 20, 22 and the measuring points MP1 to MP4 are defined and / or wherein preferably the position of the measuring points on the probed radius in degrees, measured from the center of the probed circle,is defined and / or wherein the degree is preferably taken from the drawing of the component and / or wherein the defined measuring points MP1, MP2, MP3 and MP4 are preferably probed to determine the gap dimension SM and / or the height dimension HM., 23. Method according to claim 21 or 22, characterized in that a 2D camera in combination with a separate laser or LED line, a 3D laser with triangulation sensors, a 3D snapshot sensor, a white light interferometer and / or a convolutional measuring system is used as the measuring device.
24. Method according to at least one of claims 21 to 23, characterized in that the measuring device is positioned by means of a robot arm, such as a 4-axis robot or 6-axis robot.
25. Method according to at least one of claims 21 to 24, characterized in that the rim is placed manually by a worker on a goods carrier which is mounted on an extendable drawer of the test cell or that the rim automatically transported through the test cell, e.g. by means of a conveyor belt, and the rim is held mechanically in place for the duration of the test.
26. Method according to at least one of claims 21 to 25, characterized in that the test method is started by actuating an external switch or that the test method is started by scanning a label of the rim or fully automatically by detecting the rim by means of a camera.
27. Method according to at least one of claims 21 to 26, characterized in that a first image of the rim is taken by means of the 2D camera, that the image is processed in the image processing system and displayed on the operating and / or display unit, such as a touch display, that the 2D camera determines the rotational position of the rim on the goods carrier based on a feature of the rim, such as a valve hole, and that the control of the robot receives the rotational position of the rim from the image processing system and runs a test program.
28. Method according to at least one of claims 21 to 27, characterized in that the measurement is carried out from a surface of a coating of the rim, such as clear varnish on rim material, such as aluminum, to a surface of a coating of the insert element, such as clear varnish on the material of the insert element, such as carbon or plastic.
29. Method according to at least one of claims 21 to 28, characterized in that a layer thickness of a layer protecting the rim or parts of the rim, such as clear varnish, is used as a quality feature at various positions of the rim and / or the insert element and a progression of the layer thickness of the coating, such as clear varnish, is tested.
30. Method according to at least one of claims 21 to 29, characterized in that the complete rim is scanned, the tests being carried out on the basis of the acquired data, ie in the complete 3D point cloud.
31. Method according to at least one of claims 21 to 30, characterized in that the test is carried out on the cross-section of the rim in the region of the measuring point.
32. Method according to at least one of claims 21 to 31, characterized in that during the test the same measuring point is measured several times in the cross-section of the rim, whereby the minimum value, maximum value, maximum deviation, average deviation and thus then the average value of the measurements are recorded as the measured value for this measuring point.
33. Method according to at least one of claims 21 to 32, characterized in that the quality characteristics to be tested are a surface quality of the rim or parts of the rim, e.g. an applied paint layer.
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