CN114486929A - Method and device for detecting appearance of automobile door trim - Google Patents
Method and device for detecting appearance of automobile door trim Download PDFInfo
- Publication number
- CN114486929A CN114486929A CN202210065243.8A CN202210065243A CN114486929A CN 114486929 A CN114486929 A CN 114486929A CN 202210065243 A CN202210065243 A CN 202210065243A CN 114486929 A CN114486929 A CN 114486929A
- Authority
- CN
- China
- Prior art keywords
- slope
- light source
- door trim
- camera
- detection mechanism
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 8
- 238000001514 detection method Methods 0.000 claims abstract description 138
- 230000007246 mechanism Effects 0.000 claims abstract description 88
- 238000005034 decoration Methods 0.000 claims abstract description 35
- 230000002159 abnormal effect Effects 0.000 claims abstract description 5
- 230000007547 defect Effects 0.000 claims description 24
- 238000007689 inspection Methods 0.000 claims description 23
- 230000008569 process Effects 0.000 claims description 3
- 230000002950 deficient Effects 0.000 abstract description 2
- 230000006872 improvement Effects 0.000 description 7
- 230000000694 effects Effects 0.000 description 6
- 238000000465 moulding Methods 0.000 description 6
- 230000003287 optical effect Effects 0.000 description 6
- 238000005286 illumination Methods 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 238000003384 imaging method Methods 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 229910001220 stainless steel Inorganic materials 0.000 description 2
- 239000010935 stainless steel Substances 0.000 description 2
- 238000011179 visual inspection Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000000877 morphologic effect Effects 0.000 description 1
- 238000012634 optical imaging Methods 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
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
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
-
- 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
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
-
- 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
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
- G01N2021/0106—General arrangement of respective parts
- G01N2021/0112—Apparatus in one mechanical, optical or electronic block
-
- 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
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
Landscapes
- Chemical & Material Sciences (AREA)
- Biochemistry (AREA)
- Pathology (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Immunology (AREA)
- Analytical Chemistry (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Signal Processing (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The invention relates to the field of automobile accessory detection, in particular to an automobile door trim appearance detection method and device. The method comprises the following steps of S1, placing a plurality of door trim panels to be detected on a feeding slide block, and sequentially passing through a slope foreign matter detection mechanism, a ridge detection mechanism and a slope concave-convex detection mechanism along a feeding guide rail; s2, in the slope foreign matter detection mechanism, comparing the acquired image with the qualified door trim image in a gray scale, if an abnormal gray scale area appears in the acquired image, judging that foreign matters exist on the slope of the door trim to be detected, and feeding back information; s3, in the ridge position detection mechanism, a ridge position light source irradiates to the ridge position of the door decoration strip to be detected, and a ridge position acquisition camera carries out video stream detection on the passing door decoration strip to be detected; and S4, in the slope concave-convex detection mechanism, a slope concave-convex acquisition light source faces the slope of the door trim to be detected, and a slope concave-convex acquisition camera performs video stream detection on the passing door trim to be detected through an acquisition lens. The problem of artifical door facings board detection efficiency low, the defective rate is high is solved.
Description
Technical Field
The invention relates to the field of automobile accessory detection, in particular to an automobile door trim appearance detection method and device.
Background
At present, high-end automobile decorative strips are all stainless steel products, the surfaces of the high-end automobile decorative strips have mirror reflection effects, and only manual visual inspection can be carried out at present, and due to the fact that defects relate to surface dirt, scratches, pits and the like and are randomly distributed on curved surfaces of the decorative strips, the problems that manual visual inspection is omitted, detection efficiency is low and the like are caused, and defective products flow into a subsequent process.
Disclosure of Invention
The invention provides an automobile door trim appearance detection method and device, and aims to solve the problems of low manual detection efficiency and high reject ratio.
The invention provides an automobile door trim appearance detection method, which comprises the following steps:
s1, placing a plurality of door trim panels to be detected on a feeding slide block, and sequentially passing through a slope foreign matter detection mechanism, a ridge detection mechanism and a slope concave-convex detection mechanism along a feeding guide rail;
s2, in the slope foreign matter detection mechanism, a left slope light source and a right slope light source respectively irradiate the left slope and the right slope of the door trim strip to be detected, a left slope collecting camera and a right slope collecting camera collect images of the left slope and the right slope of the door trim strip to be detected in real time, the collected images are compared with qualified images of the door trim strip in a gray scale mode, if abnormal gray scale regions appear in the collected images, the slope of the door trim strip to be detected is judged to have foreign matters, and information is fed back;
s3, in the ridge position detection mechanism, a ridge position light source irradiates the ridge position of the door decoration strip to be detected, a ridge position acquisition camera carries out video stream detection on the passing door decoration strip to be detected, if the ridge position of the door decoration strip is different from the ridge position of other door decoration strips in shape in the video stream, the ridge position of the door decoration strip is judged to have concave-convex defects, and information is fed back;
s4, in the slope concave-convex detection mechanism, a slope concave-convex collection light source faces the slope of the door decoration strip to be detected, a slope concave-convex collection camera carries out video stream detection on the passing door decoration strip to be detected through a collection lens, and if the slope shape of the door decoration strip is different from that of other door decoration strips in the video stream, the slope of the door decoration strip is judged to have concave-convex defects, and information is fed back.
As a further improvement of the present invention, before performing the detection, the step S1 further includes:
s11, in the slope foreign matter detection mechanism, adjusting the angles of a left slope light source and a right slope light source on a first light source support, adjusting the angles of a left slope collection camera and a right slope collection camera on a camera support, and aligning the left slope and the right slope of the door trim to be detected;
s12, in the ridge position detection mechanism, rotating a camera rotating disc and a light source rotating disc to enable a ridge position acquisition camera and a ridge position light source to be aligned to the ridge position of the door decoration strip to be detected;
and S13, in the slope concave-convex detection mechanism, adjusting the angle of the slope concave-convex acquisition light source on the second light source bracket to align to the slope of the door trim to be detected.
The invention also provides an appearance detection device for the automobile door trim, which comprises a slope foreign matter detection mechanism for detecting the defects of dirt, scratches and the like on the slope surface of the door trim, a ridge detection mechanism for detecting the ridge defects of the door trim, a slope concave-convex detection mechanism for detecting the slope concave-convex defects of the door trim, a feeding guide rail, and a feeding slide block for placing the door trim to be detected, wherein the feeding slide block is connected on the feeding guide rail in a sliding manner, the feeding slide block sequentially passes through the slope foreign matter detection mechanism, the ridge detection mechanism and the slope concave-convex detection mechanism along the feeding guide rail, and the slope foreign matter detection mechanism, the ridge detection mechanism and the slope concave-convex detection mechanism monitor the passing door trim to be detected in real time through image acquisition equipment.
As a further improvement of the invention, the slope foreign matter detection mechanism comprises a slope detection support, a left slope collection camera, a right slope collection camera, a left slope light source and a right slope light source, wherein the slope detection support spans in the conveying direction of the door trim strip to be detected, the left slope collection camera, the right slope collection camera, the left slope light source and the right slope light source are fixed at the upper end of the slope support, the left slope collection camera and the left slope light source are aligned to the left slope of the door trim strip to be detected, and the right slope collection camera and the right slope light source are aligned to the right slope of the door trim strip to be detected.
As a further improvement of the present invention, the slope foreign matter detection mechanism includes a camera bracket and a first light source bracket, one end of the camera bracket is fixed on the detection bracket, the other end of the camera bracket is hinged to the left slope surface collection camera or the right slope surface collection camera, one end of the first light source bracket is fixed on the detection bracket, and the other end of the first light source bracket is hinged to the left slope surface light source or the right slope surface light source.
As a further improvement of the invention, the left slope surface collecting camera and the right slope surface collecting camera are high-resolution dynamic CCD cameras, and the left slope surface light source and the right slope surface light source are profiling light sources similar to the slope surfaces of the door trim strips.
As a further improvement of the present invention, the ridge detection mechanism includes a ridge detection bracket, a ridge collection camera, a ridge light source, a camera turntable, and a light source turntable, the ridge detection bracket is fixed above the conveying direction of the door trim to be detected, the camera turntable and the light source turntable are respectively rotatably connected to the detection bracket, the ridge collection camera is fixed on the camera turntable, the ridge light source is fixed on the light source turntable, the ridge collection camera is a high-speed dynamic CCD camera, and the ridge light source is a high-brightness vector linear light source.
The slope concave-convex detection mechanism comprises a slope concave-convex detection support, a slope concave-convex collection camera, a collection lens and a slope concave-convex collection light source, wherein the slope concave-convex detection support spans in the conveying direction of the door trim strip to be detected, the slope concave-convex collection camera and the slope concave-convex collection light source are connected to the slope concave-convex detection support, and the collection lens is connected below the slope concave-convex collection camera and aligned to the door trim strip to be detected.
As a further improvement of the invention, the slope concave-convex detection mechanism comprises a second light source bracket, one end of the second light source bracket is fixed on the slope concave-convex detection bracket, the other end of the second light source bracket is hinged with a slope concave-convex collection light source, and the slope concave-convex collection light source is adjusted in angle on the second light source bracket and is aligned with the door treating trim.
As a further improvement of the invention, the slope concave-convex collecting camera is a high-resolution dynamic CCD camera, the collecting lens is a large depth-of-field lens, and the slope concave-convex collecting light source is a stripe light source.
The invention has the beneficial effects that: aiming at detecting the defects of dirt, scratches and the like of the slope surface of the door trim strip, a customized optical device is adopted to perform profile imaging, and the slope surface defects are captured in a fly-shooting mode, so that the detection rate and the detection efficiency are improved; aiming at the abnormal condition of the door trim, the ridge of the door trim is detected by adopting a customized optical device, dynamic detection and high-efficiency detection in a video streaming mode; aiming at weak pit deformation of the slope surface of the door trim, the method adopts a customized optical device, dynamic detection and a video stream mode and stripe interference mode to carry out high-efficiency detection.
Drawings
Fig. 1 is a plan view of the entire structure of an appearance inspection device for an automobile door molding according to the present invention;
fig. 2 is a structural view of a slope foreign matter detection mechanism according to the present invention;
fig. 3 is a structural front view of a slope foreign matter detection mechanism according to the present invention;
FIG. 4 is a structural view of a spine detection mechanism according to the present invention;
FIG. 5 is a view showing a structure of a slope unevenness detecting mechanism according to the present invention;
fig. 6 is a front view of the slope surface irregularity detecting mechanism of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments.
The invention is designed for detecting the appearance defects of the stainless steel automobile door trim. As shown in fig. 1 to 6, the appearance inspection device for the automotive door trim of the present invention includes a slope foreign matter inspection mechanism 2 for inspecting the defects of dirt, scratches, etc. on the slope of the door trim, a ridge inspection mechanism 3 for inspecting the ridge defects of the door trim, a slope concave-convex inspection mechanism 4 for inspecting the slope concave-convex defects of the door trim, wherein the slope foreign matter inspection mechanism 2, the ridge inspection mechanism 3, and the slope concave-convex inspection mechanism 4 are sequentially arranged along the conveying direction of the door trim to be inspected, and the slope foreign matter inspection mechanism 2, the ridge inspection mechanism 3, and the slope concave-convex inspection mechanism 4 monitor the passing door trim to be inspected in real time through an image acquisition device.
The detection device further comprises a feeding guide rail 1 and a feeding sliding block for placing the door trim strip to be detected, wherein the feeding sliding block is connected to the feeding guide rail 1 in a sliding mode, and the feeding sliding block sequentially passes through a slope foreign matter detection mechanism 2, a ridge position detection mechanism 3 and a slope concave-convex detection mechanism 4 along the feeding guide rail.
In putting into the conveying carrier in order with door trim product after the artifical dyestripping, equipment conveys the product by oneself and gets into and detects the worker station, and door trim product is placed on the pay-off slider on detecting the worker station, passes through slope foreign matter detection mechanism 2, ridge position detection mechanism 3, domatic unsmooth detection mechanism 4 in proper order through pay-off guide rail 1 and carries out the outward appearance detection to door trim slope, ridge position, domatic.
As shown in fig. 2 and 3, the slope foreign matter detection mechanism 2 includes a slope detection support 21, a left slope collection camera 22, a right slope collection camera 23, a left slope light source 24, and a right slope light source 25, the slope detection support 21 spans in the conveying direction of the door molding to be detected, the left slope collection camera 22, the right slope collection camera 23, the left slope light source 24, and the right slope light source 25 are fixed on the upper end of the slope support 21, the left slope collection camera 22, the left slope light source 24 are aligned with the left slope of the door molding to be detected, and the right slope collection camera 23, and the right slope light source 25 are aligned with the right slope of the door molding to be detected. The left slope surface acquisition camera 22 and the left slope surface light source 24 form a detection module for the left slope surface of the door trim plate, the left slope surface light source 24 provides illumination, and the left slope surface acquisition camera 22 provides an image acquisition function and monitors the passing door trim plate to be detected in real time; the right slope surface collecting camera 23 and the right slope surface light source 25 form a detection module for the left slope surface of the door trim plate, the right slope surface light source 25 provides illumination, and the right slope surface collecting camera 23 provides an image collecting function and monitors the passing door trim plate to be detected in real time. The slope detection bracket 21 has a sufficient height for image acquisition, and the acquisition area can cover the slope of the door trim.
Slope foreign matter detection mechanism includes camera support 26, first light source support 27, and camera support 26 one end is fixed on detecting support 21, and its other end is articulated with left slope collection camera 22 or right slope collection camera 23, and first light source support 27 one end is fixed on detecting support 21, and its other end is articulated with left slope light source 24 or right slope light source 25. The angle of the left slope collecting camera 22 or the right slope collecting camera 23 on the camera support 26 can be adjusted to achieve the best image sampling effect, and the angle of the left slope light source 24 or the right slope light source 25 on the first light source support 27 can be adjusted to achieve the best illumination effect.
The left slope surface collecting camera 22 and the right slope surface collecting camera 23 are high-resolution dynamic CCD cameras, and the left slope surface light source 24 and the right slope surface light source 25 are copying light sources similar to the slope surfaces of the door trim strips.
Detect domatic dirt, mar defect, adopt the optical scheme of the high depth of parallelism of profile modeling to carry out real-time detection, because the morphological characteristic of product, the domatic collection camera through adjustable angle and the domatic light source effectively compatible product slope change, the whole radian change of product.
As shown in fig. 4, the spine detection mechanism 3 includes a spine detection support 31, a spine collection camera 32, a spine light source 33, a camera turntable 34, and a light source turntable 35, the spine detection support 31 is fixed above the conveying direction of the door trim to be detected, the camera turntable 34 and the light source turntable 35 are respectively rotatably connected to the detection support 31, the spine collection camera 32 is fixed on the camera turntable 34, and the spine light source 33 is fixed on the light source turntable 35. The ridge position collection camera 32 is a high-speed dynamic CCD camera, and the ridge position light source 33 is a high-brightness vector linear light source. The angle of the spine acquisition camera 32 on the detection bracket 31 can be adjusted through the camera turntable 34 to achieve the optimal image sampling effect; the angle of the ridge light source 33 on the detection bracket 31 can be adjusted through the light source turntable 35 to achieve the best illumination effect.
The ridge defect detection mechanism detects the concave-convex change of the ridge in real time, adopts a high-brightness vector linear light source to perform accurate imaging, and is matched with a high-speed dynamic CCD to perform video stream detection.
As shown in fig. 5 and 6, the slope concave-convex detection mechanism 4 includes a slope concave-convex detection support 41, a slope concave-convex collection camera 42, a collection lens, and a slope concave-convex collection light source 43, the slope concave-convex detection support 41 spans over the conveying direction of the door molding to be detected, the slope concave-convex collection camera 42 and the slope concave-convex collection light source 43 are connected to the slope concave-convex detection support 41, and the collection lens is connected below the slope concave-convex collection camera 42 and aligned to the door molding to be detected.
The slope concave-convex detection mechanism 4 comprises a second light source support 44, one end of the second light source support 44 is fixed on the slope concave-convex detection support 41, the other end of the second light source support is hinged with a slope concave-convex acquisition light source 43, and the slope concave-convex acquisition light source 43 is adjusted in angle on the second light source support 44 and is aligned to the door trim. The angle of the slope concave-convex collecting light source 43 on the second light source support 44 can be adjusted to achieve the best lighting effect.
The slope concave-convex collecting camera 42 is a high-resolution dynamic CCD camera, the collecting lens is a large depth-of-field lens, and the slope concave-convex collecting light source 43 is a stripe light source.
The slope surface depression detection mechanism adopts a large depth-of-field customized lens, a stripe-penetrable light source is customized, and a high-resolution dynamic CCD is used for shooting, grabbing and detecting.
The operation process of the device comprises the following steps:
s1, placing a plurality of door trim panels to be detected on a feeding slide block, and sequentially passing through a slope foreign matter detection mechanism 2, a ridge detection mechanism 3 and a slope concave-convex detection mechanism 4 along a guide rail;
step S1 further includes:
s11, in the slope foreign matter detection mechanism, adjusting the angles of a left slope light source 24 and a right slope light source 25 on a first light source bracket 27, adjusting the angles of a left slope collection camera 22 and a right slope collection camera 23 on a camera bracket 26, and aligning the left slope and the right slope of the door trim to be detected;
s12, in the ridge position detection mechanism 3, rotating the camera rotating disc 34 and the light source rotating disc 35 to enable the ridge position acquisition camera 32 and the ridge position light source 33 to be aligned to the ridge position of the door decoration strip to be detected;
and S13, in the slope concave-convex detection mechanism 4, adjusting the angle of the slope concave-convex acquisition light source 43 on the second light source support 44 to align to the slope of the door trim to be detected.
S2, in the slope foreign matter detection mechanism 2, the left slope light source 24 and the right slope light source 25 respectively irradiate the left slope surface and the right slope surface of the door trim strip to be detected, the left slope surface acquisition camera 22 and the right slope surface acquisition camera 23 acquire images of the left slope surface and the right slope surface of the door trim strip to be detected in real time, the acquired images are compared with qualified images of the door trim strip in a gray scale mode, if abnormal gray scale regions appear in the acquired images, it is judged that foreign matters exist on the slope surface of the door trim strip to be detected, and information is fed back.
S3, in the ridge position detection mechanism 3, the ridge position light source 33 irradiates the ridge position of the door decoration strip to be detected, the ridge position collection camera 32 carries out video stream detection on the passing door decoration strip to be detected, if the ridge position of the door decoration strip is different from the ridge position of other door decoration strips in shape in the video stream, the ridge position of the door decoration strip is judged to have concave-convex defects, and information is fed back.
S4, in the slope concave-convex detection mechanism 4, the slope concave-convex acquisition light source 43 is used for acquiring the slope of the door decoration strip to be detected, the slope concave-convex acquisition camera 42 is used for carrying out video stream detection on the passing door decoration strip to be detected through the acquisition lens, and if the slope of the door decoration strip is different from that of other door decoration strips in video stream, the slope of the door decoration strip is judged to have concave-convex defects, and information is fed back.
The conventional optical scheme for detecting the concave-convex defects at the ridge positions of the door trim strips cannot be achieved, the optical scheme is special for special stations, and the appearance detection scheme for the door trim strips can effectively and quickly detect the concave-convex defects at the ridge positions of the door trim strips; under the whole radian of door trim and domatic radian mutual interference, conventional optics scheme can't be accurate detects domatic unsmooth, and this door trim outward appearance detection scheme is through customization transmissible stripe optical imaging, and high depth of field developments CCD snatchs dynamically, can effectively examine out domatic unsmooth defect at a high speed.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (10)
1. An automobile door trim appearance detection method is characterized by comprising the following steps:
s1, placing a plurality of door trim panels to be detected on a feeding slide block, and sequentially passing through a slope foreign matter detection mechanism, a ridge detection mechanism and a slope concave-convex detection mechanism along a feeding guide rail;
s2, in the slope foreign matter detection mechanism, a left slope light source and a right slope light source respectively irradiate the left slope and the right slope of the door trim strip to be detected, a left slope collecting camera and a right slope collecting camera collect images of the left slope and the right slope of the door trim strip to be detected in real time, the collected images are compared with qualified images of the door trim strip in a gray scale mode, if abnormal gray scale regions appear in the collected images, the slope of the door trim strip to be detected is judged to have foreign matters, and information is fed back;
s3, in the ridge position detection mechanism, a ridge position light source irradiates the ridge position of the door decoration strip to be detected, a ridge position acquisition camera carries out video stream detection on the passing door decoration strip to be detected, if the ridge position of the door decoration strip is different from the ridge position of other door decoration strips in shape in the video stream, the ridge position of the door decoration strip is judged to have concave-convex defects, and information is fed back;
s4, in the slope concave-convex detection mechanism, a slope concave-convex collection light source faces the slope of the door decoration strip to be detected, a slope concave-convex collection camera carries out video stream detection on the passing door decoration strip to be detected through a collection lens, and if the slope shape of the door decoration strip is different from that of other door decoration strips in the video stream, the slope of the door decoration strip is judged to have concave-convex defects, and information is fed back.
2. The method for detecting the appearance of an automotive door trim according to claim 1, wherein before the detection, the step S1 further includes:
s11, in the slope foreign matter detection mechanism, adjusting the angles of a left slope light source and a right slope light source on a first light source support, adjusting the angles of a left slope collection camera and a right slope collection camera on a camera support, and aligning the left slope and the right slope of the door trim to be detected;
s12, in the ridge position detection mechanism, rotating a camera rotating disc and a light source rotating disc to enable a ridge position acquisition camera and a ridge position light source to be aligned to the ridge position of the door decoration strip to be detected;
and S13, in the slope concave-convex detection mechanism, adjusting the angle of the slope concave-convex acquisition light source on the second light source bracket to align to the slope of the door trim to be detected.
3. The utility model provides an automobile door trim outward appearance detection device, its characterized in that includes and carries out the slope foreign matter detection mechanism that detects to defects such as door trim slope dirt, mar, carries out the spine detection mechanism that detects to door trim spine defect, carries out the unsmooth detection mechanism in slope that detects to the unsmooth defect in slope of door trim, and the pay-off guide rail is placed the pay-off slider of the door trim that awaits measuring, pay-off slider sliding connection is on the pay-off guide rail, the pay-off slider passes through slope foreign matter detection mechanism, spine detection mechanism, the unsmooth detection mechanism in proper order along the pay-off guide rail, the door trim that awaits measuring that slope foreign matter detection mechanism, spine detection mechanism, the unsmooth detection mechanism in slope pass through image acquisition equipment real-time supervision process.
4. The automobile door trim appearance inspection device of claim 3, wherein the slope foreign matter inspection mechanism comprises a slope inspection bracket, a left slope acquisition camera, a right slope acquisition camera, a left slope light source, and a right slope light source, the slope inspection bracket spans in the conveying direction of the door trim to be inspected, the left slope acquisition camera, the right slope acquisition camera, the left slope light source, and the right slope light source are fixed on the upper end of the slope bracket, the left slope acquisition camera, the left slope light source are aligned with the left slope of the door trim to be inspected, and the right slope acquisition camera, the right slope light source are aligned with the right slope of the door trim to be inspected.
5. The automobile door trim appearance inspection device of claim 4, wherein the slope foreign matter inspection mechanism comprises a camera bracket and a first light source bracket, one end of the camera bracket is fixed on the inspection bracket, the other end of the camera bracket is hinged with the left slope surface acquisition camera or the right slope surface acquisition camera, one end of the first light source bracket is fixed on the inspection bracket, and the other end of the first light source bracket is hinged with the left slope surface light source or the right slope surface light source.
6. The automobile door trim appearance inspection device of claim 4, wherein the left and right slope collection cameras are high-resolution dynamic CCD cameras, and the left and right slope light sources are profiling light sources similar to the slope of the door trim.
7. The appearance inspection device for the automobile door trim strip according to claim 3, wherein the ridge detection mechanism comprises a ridge detection bracket, a ridge collection camera, a ridge light source, a camera turntable, and a light source turntable, the ridge detection bracket is fixed above the conveying direction of the door trim strip to be inspected, the camera turntable and the light source turntable are respectively rotatably connected to the detection bracket, the ridge collection camera is fixed on the camera turntable, the ridge light source is fixed on the light source turntable, the ridge collection camera is a high-speed dynamic CCD camera, and the ridge light source is a high-brightness vector linear light source.
8. The automobile door trim appearance inspection device of claim 3, wherein the slope unevenness detection mechanism comprises a slope unevenness detection bracket, a slope unevenness collection camera, a collection lens, and a slope unevenness collection light source, the slope unevenness detection bracket spans in the conveying direction of the door trim to be inspected, the slope unevenness collection camera and the slope unevenness collection light source are connected to the slope unevenness detection bracket, and the collection lens is connected below the slope unevenness collection camera and aligned with the door trim to be inspected.
9. The apparatus according to claim 8, wherein the slope unevenness detecting mechanism includes a second light source bracket, one end of the second light source bracket is fixed to the slope unevenness detecting bracket, and the other end of the second light source bracket is hinged to the slope unevenness collecting light source, and the slope unevenness collecting light source is adjusted to be at an angle on the second light source bracket and directed to the waiting door trim.
10. The automobile door trim appearance inspection device of claim 8, wherein the slope surface concave-convex collecting camera is a high-resolution dynamic CCD camera, the collecting lens is a large depth-of-field lens, and the slope surface concave-convex collecting light source is a stripe light source.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210065243.8A CN114486929B (en) | 2022-01-20 | 2022-01-20 | Automobile door trim appearance detection method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210065243.8A CN114486929B (en) | 2022-01-20 | 2022-01-20 | Automobile door trim appearance detection method and device |
Publications (2)
Publication Number | Publication Date |
---|---|
CN114486929A true CN114486929A (en) | 2022-05-13 |
CN114486929B CN114486929B (en) | 2024-02-02 |
Family
ID=81472643
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210065243.8A Active CN114486929B (en) | 2022-01-20 | 2022-01-20 | Automobile door trim appearance detection method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114486929B (en) |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH04105009A (en) * | 1990-08-23 | 1992-04-07 | Diffract Ltd | Method and device for surface inspection and distortion measurement utilizing reverse reflection |
US20050190361A1 (en) * | 2004-02-27 | 2005-09-01 | Omron Corporation | Apparatus for surface inspection and method and apparatus for inspecting substrate |
WO2005100960A1 (en) * | 2004-03-31 | 2005-10-27 | Daihatsu Motor Co., Ltd. | Surface defect examining device |
CN205720032U (en) * | 2016-06-08 | 2016-11-23 | 广州东海敏孚汽车部件有限公司 | A kind of automotive trim strip open defect detection device |
CN108918538A (en) * | 2018-07-25 | 2018-11-30 | 可瑞昶科技(苏州)有限公司 | A kind of reflective panel CCD detection device |
CN209028015U (en) * | 2018-10-29 | 2019-06-25 | 合刃科技(武汉)有限公司 | A kind of detection device of line scanning imagery |
CN110146507A (en) * | 2019-04-30 | 2019-08-20 | 杭州晶耐科光电技术有限公司 | Automobile finish surface appearance defects detection system and method |
CN210604434U (en) * | 2019-04-28 | 2020-05-22 | 华南理工大学 | Online detection device for typical defects of curved glass of mobile phone |
WO2020147397A1 (en) * | 2019-01-17 | 2020-07-23 | 东莞市三姆森光电科技有限公司 | Machine vision system for use in curved surface inspection and inspection method |
CN112782179A (en) * | 2020-12-22 | 2021-05-11 | 北京市新技术应用研究所 | Method and system for detecting defects of light-reflecting surface of product |
CN113834815A (en) * | 2021-09-10 | 2021-12-24 | 镇江亿诺伟视智能科技有限公司 | Appearance detection equipment for irregular automobile electroplated part and use method thereof |
CN217766111U (en) * | 2022-01-20 | 2022-11-08 | 深圳佳视德智能科技有限公司 | Automobile door trim appearance detection device |
-
2022
- 2022-01-20 CN CN202210065243.8A patent/CN114486929B/en active Active
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH04105009A (en) * | 1990-08-23 | 1992-04-07 | Diffract Ltd | Method and device for surface inspection and distortion measurement utilizing reverse reflection |
US20050190361A1 (en) * | 2004-02-27 | 2005-09-01 | Omron Corporation | Apparatus for surface inspection and method and apparatus for inspecting substrate |
WO2005100960A1 (en) * | 2004-03-31 | 2005-10-27 | Daihatsu Motor Co., Ltd. | Surface defect examining device |
CN205720032U (en) * | 2016-06-08 | 2016-11-23 | 广州东海敏孚汽车部件有限公司 | A kind of automotive trim strip open defect detection device |
CN108918538A (en) * | 2018-07-25 | 2018-11-30 | 可瑞昶科技(苏州)有限公司 | A kind of reflective panel CCD detection device |
CN209028015U (en) * | 2018-10-29 | 2019-06-25 | 合刃科技(武汉)有限公司 | A kind of detection device of line scanning imagery |
WO2020147397A1 (en) * | 2019-01-17 | 2020-07-23 | 东莞市三姆森光电科技有限公司 | Machine vision system for use in curved surface inspection and inspection method |
CN210604434U (en) * | 2019-04-28 | 2020-05-22 | 华南理工大学 | Online detection device for typical defects of curved glass of mobile phone |
CN110146507A (en) * | 2019-04-30 | 2019-08-20 | 杭州晶耐科光电技术有限公司 | Automobile finish surface appearance defects detection system and method |
CN112782179A (en) * | 2020-12-22 | 2021-05-11 | 北京市新技术应用研究所 | Method and system for detecting defects of light-reflecting surface of product |
CN113834815A (en) * | 2021-09-10 | 2021-12-24 | 镇江亿诺伟视智能科技有限公司 | Appearance detection equipment for irregular automobile electroplated part and use method thereof |
CN217766111U (en) * | 2022-01-20 | 2022-11-08 | 深圳佳视德智能科技有限公司 | Automobile door trim appearance detection device |
Non-Patent Citations (2)
Title |
---|
"HXSI表面缺陷在线检测***又添新业绩", 冶金自动化, no. 03, pages 1 * |
张于北 等: "对某金属件反光表面缺陷的反射条纹检测", 计测技术, vol. 33, no. 1, pages 100 - 102 * |
Also Published As
Publication number | Publication date |
---|---|
CN114486929B (en) | 2024-02-02 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103736672B (en) | A kind of eyeglass is classified sorting equipment online | |
CN103884650B (en) | A kind of multiple light courcess linear array imaging system and method | |
US6462813B1 (en) | Surface defect inspection system and method | |
CN110018177A (en) | A kind of detection of workpiece, defect and device for eliminating | |
JP2001519890A (en) | Techniques for detecting three-dimensional defect locations in transparent structures | |
CN103090804A (en) | Automatic detection system and detection method of finished product magnet ring image | |
CN104483320A (en) | Digitized defect detection device and detection method of industrial denitration catalyst | |
CN102890093B (en) | Machine vision detecting device of surface quality of master cylinder piston of automobile brake | |
EP1277042B1 (en) | Directional lighting and method to distinguish three dimensional information | |
JP4190636B2 (en) | Surface inspection device | |
CN113252561A (en) | Cookware surface defect detection system and method | |
CN217766111U (en) | Automobile door trim appearance detection device | |
CN111458345A (en) | Visual detection mechanism for defects of mask | |
CN111721782A (en) | Optical detection device | |
CN208350678U (en) | Transparent vessel oral area crackle on-line measuring device | |
CN114486929A (en) | Method and device for detecting appearance of automobile door trim | |
CN112461854A (en) | Method and device for intelligently optimizing AOI detection of final inspection of cover plate | |
LU502746B1 (en) | System, method and terminal for surface defect detection of synchronizer gear sleeve based on machine vision | |
CN114689612A (en) | Automatic defect detection device for 3D mobile phone glass cover plate | |
CN211717758U (en) | Anti-interference screen appearance optical detection device | |
CN214066962U (en) | Part detection device based on machine vision | |
CN211651523U (en) | Machine vision detection system for inner and outer diameter cylindrical surfaces of bearing | |
JPH09105618A (en) | Method and apparatus for inspection of defect on smooth surface of object as well as method and apparatus for measurement of roughness on surface of object | |
CN115112659A (en) | Device and method for detecting appearance surface flaws | |
CN112782184A (en) | Part detection device based on machine vision |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |