CN201094003Y - Special device of tile detection based on machine vision - Google Patents
Special device of tile detection based on machine vision Download PDFInfo
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- CN201094003Y CN201094003Y CNU2007200516241U CN200720051624U CN201094003Y CN 201094003 Y CN201094003 Y CN 201094003Y CN U2007200516241 U CNU2007200516241 U CN U2007200516241U CN 200720051624 U CN200720051624 U CN 200720051624U CN 201094003 Y CN201094003 Y CN 201094003Y
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- ceramic tile
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- total reflection
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Abstract
The utility model discloses a special device which is used for detecting the ceramic tile based on the machine vision. The device comprises a delivery mechanism (9), an embedded machine vision processing unit (6) and an incremental rotary encoder (1) as well as the image collection system thereof, wherein, the image collection system comprises a power supply (3), a total reflection light receiving vidicon (4), a diffuse reflectance light receiving vidicon (5), a first reflecting prism (8) and a second reflecting prism (7), the power supply (3) is arranged on the delivery mechanism (9), the total reflection light receiving vidicon (4) is arranged at the position where the ceramic tile image can be shot after the total reflection light is reflected by the first reflecting prism (8), the diffuse reflectance light receiving vidicon (5) is arranged at the position where the ceramic tile image can be shot after the diffuse reflectance light is reflected by the second reflecting prism (7), the output analog signals of the total reflection light receiving vidicon (4) and the diffuse reflectance light receiving vidicon (5) are connected with the embedded machine vision processing unit (6) through coaxial cables, the incremental rotary encoder (1) is arranged on the delivery mechanism (9), and the pulse signals output by the incremental rotary encoder (1) and used for triggering the vidicons to collect the images are connected with the embedded machine vision processing unit (6) through leads. The utility model detects the size and the surface defect of the ceramic tile in the machine vision way, has the non-contact and nondestructive detection process, eliminates the subjective factor during the manual detection, and improves the accuracy and the efficiency of the ceramic tile detection, thereby improving the automation level of the prior ceramic tile detection.
Description
Technical field:
The utility model is that a kind of ceramic tile based on machine vision detects isolated plant, relates to a kind of isolated plant that utilizes machine vision technique to detect the size and the surface imperfection of ceramic tile.Belong to the renovation technique that detects isolated plant based on the ceramic tile of machine vision.
Background technology:
At present, in China's Production of Ceramics industry, the automaticity of ceramic tile production is than higher.This comprises from press extrusion blank, glazing then, and then sintering in kiln carries out edging and polishing at last, and the whole process of production of ceramic tile all adopts robotization control or monitoring.
But in the testing process of ceramic tile, automaticity is very low, is by manually detecting basically.The detection of ceramic tile dimension is manually to measure by survey instrument, and for the surface imperfection inspection of ceramic tile, is fully to discern and judge by people's naked eyes.Therefore have very big subjectivity, cause misjudgment easily, and efficient is also quite low.So, in ceramic industry, press for size and surface imperfection that a kind of automation equipment detects ceramic tile.
Summary of the invention:
The purpose of this utility model is to consider the problems referred to above and a kind of testing process is provided is the ceramic tile detection isolated plant based on machine vision of noncontact, Non-Destructive Testing.Subjective factor when the utility model has been got rid of manual detection has improved accuracy, efficient that ceramic tile detects, thereby has improved the automatization level that present ceramic tile detects.
Structural representation of the present utility model as shown in Figure 1, include conveying device (9), embedded machine vision processing unit (6), incremental rotary encoder (1) and image capturing system thereof, wherein image capturing system includes light source (3), the video camera (4) that total reflection light receives, the video camera (5) that diffuses and receive, first reflecting prism (8), second reflecting prism (7), light source (3) is installed on the position that can shine the ceramic tile (2) that places on the conveying device (9), first reflecting prism (8), second reflecting prism (7) is installed in conveying device (9) top, the video camera (4) that total reflection light receives is installed in and can photographs on the position of ceramic tile image after total reflection light reflects by first reflecting prism (8), the video camera (5) that receives of diffusing is installed in and diffuses by photographing on the position of ceramic tile image after second reflecting prism (7) reflection, the simulating signal of video camera (5) output of the video camera (4) that total reflection light receives and the reception that diffuses links to each other with embedded machine vision processing unit (6) by concentric cable, incremental rotary encoder (1) is installed on the conveying device (9), and the pulse signal that being used to of incremental rotary encoder (1) output triggered the camera acquisition image links to each other with embedded machine vision processing unit (6) by lead.
The beneficial effects of the utility model are: by the mode of machine vision, detect the size and the surface imperfection of ceramic tile, and testing process is noncontact, Non-Destructive Testing.Therefore, the subjective factor when having got rid of manual detection has improved accuracy, efficient that ceramic tile detects, thereby has improved the automatization level that present ceramic tile detects.The utility model is that a kind of design is ingenious, function admirable, and the convenient and practical ceramic tile based on machine vision detects isolated plant.
Description of drawings:
Fig. 1 is a structural representation of the present utility model;
Fig. 2 is the ceramic tile detection theory diagram of the utility model based on machine vision.
In the drawings, 1 is incremental rotary encoder, and 2 is ceramic tile, and 3 is light source, 4 video cameras for the total reflection light reception, 5 video cameras for the reception that diffuses, 6 is the embedded machine vision processing unit, 7 is second reflecting prism, and 8 is first reflecting prism, and 9 is conveying device.
Embodiment:
Embodiment:
Structural representation of the present utility model as shown in Figure 1, include conveying device 9, embedded machine vision processing unit 6, incremental rotary encoder 1 and image capturing system thereof, wherein image capturing system includes light source 3, the video camera 4 that total reflection light receives, the video camera 5 that diffuses and receive, first reflecting prism 8, second reflecting prism 7, light source 3 is installed on the position that can shine the ceramic tile 2 that places on the conveying device 9, first reflecting prism 8, second reflecting prism 7 is installed in conveying device 9 tops, the video camera 4 that total reflection light receives is installed in and can photographs on the position of ceramic tile image after total reflection light reflects by first reflecting prism 8, the video camera 5 that receives of diffusing is installed in and diffuses by photographing on the position of ceramic tile image after 7 reflections of second reflecting prism, be that the rayed sent of light source 3 is on ceramic tile 2, and after will guaranteeing that total reflection light passes through reflecting prism 8 reflections, enter in the linear array CCD camera 4, to guarantee simultaneously to diffuse by after reflecting prism 7 reflections, enter in the linear array CCD camera 5, and the simulating signal of video camera 5 outputs of the video camera 4 that total reflection light receives and the reception that diffuses links to each other with embedded machine vision processing unit 6 by concentric cable, incremental rotary encoder 1 is installed on the conveying device 9, and the pulse signal that being used to of incremental rotary encoder 1 output triggered the camera acquisition image links to each other with embedded machine vision processing unit 6 by lead.
In the present embodiment, the video camera 4 that above-mentioned total reflection light receives, the video camera 5 that receives that diffuses are linear array CCD camera.Above-mentioned light source 3 is a led light source, and led light source is linear array, and linear width is greater than the size of ceramic tile.Above-mentioned conveying device 9 is for including two belt pulleys and being looped around the belt conveyor that the belt of belt pulley is formed.
In addition, above-mentioned embedded machine vision processing unit 6 comprises the software and hardware system of Flame Image Process and analysis, hardware system comprises digital signal processor, modulus switching device, storer, display interface device, IO interface device, and software systems comprise embedded OS, high efficiency Flame Image Process and analytical algorithm, image output or show.
The utility model is when carrying out the ceramic tile testing, and conveying device 9 is in operating condition always, and ceramic tile 2 is carried by conveying device 9.And the color of the belt of conveying device and ceramic tile 2 has very significantly difference.In the motion process of conveying device 9, incremental rotary encoder 1 output pulse signal, this signal outputs to embedded machine vision processing unit 6, thereby produce the trigger pip of linear array CCD camera 4 and linear array CCD camera 5 photographic images, therefore these two video cameras are just taken a two field picture respectively, and store.Through certain working time, the entire image of ceramic tile is just taken and is finished.After image taking is finished, Flame Image Process in the embedded machine vision processing unit 6 and analysis software just generate two width of cloth ceramic tile images automatically, one width of cloth is the ceramic tile image that generates according to linear array CCD camera 4, and another width of cloth is the ceramic tile image that generates according to linear array CCD camera 5.Simultaneously, software carries out edge extracting to this two width of cloth image, and according to the template image that is stored in advance in the system, carries out graphical analysis and processing.At last, export the size of ceramic tile and the defective of judgement ceramic tile surface according to the treatment of picture result, the utility model detects theory diagram as shown in Figure 2 based on the ceramic tile of machine vision.
Claims (6)
1. the ceramic tile based on machine vision detects isolated plant, it is characterized in that including conveying device (9), embedded machine vision processing unit (6), incremental rotary encoder (1) and image capturing system thereof, wherein image capturing system includes light source (3), the video camera (4) that total reflection light receives, the video camera (5) that diffuses and receive, first reflecting prism (8), second reflecting prism (7), light source (3) is installed on the position that can shine the ceramic tile (2) that places on the conveying device (9), first reflecting prism (8), second reflecting prism (7) is installed in conveying device (9) top, the video camera (4) that total reflection light receives is installed in and can photographs on the position of ceramic tile image after total reflection light reflects by first reflecting prism (8), the video camera (5) that receives of diffusing is installed in and diffuses by photographing on the position of ceramic tile image after second reflecting prism (7) reflection, the simulating signal of video camera (5) output of the video camera (4) that total reflection light receives and the reception that diffuses links to each other with embedded machine vision processing unit (6) by concentric cable, incremental rotary encoder (1) is installed on the conveying device (9), and the pulse signal that being used to of incremental rotary encoder (1) output triggered the camera acquisition image links to each other with embedded machine vision processing unit (6) by lead.
2. the ceramic tile based on machine vision according to claim 1 detects isolated plant, it is characterized in that video camera (4), the video camera (5) that receives that diffuses that above-mentioned total reflection light receives are linear array CCD camera.
3. the ceramic tile based on machine vision according to claim 1 detects isolated plant, it is characterized in that above-mentioned light source (3) is a led light source.
4. the ceramic tile based on machine vision according to claim 3 detects isolated plant, it is characterized in that the LED of above-mentioned light source (3) is linear array, and linear width is greater than the size of ceramic tile.
5. the ceramic tile based on machine vision according to claim 1 detects isolated plant, it is characterized in that above-mentioned conveying device (9) is for including two belt pulleys and being looped around the belt conveyor that the belt of belt pulley is formed.
6. detect isolated plant according to each described ceramic tile of claim 1 to 5, it is characterized in that above-mentioned embedded machine vision processing unit (6) comprises digital signal processor, modulus switching device, storer, display interface device, IO interface device based on machine vision.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNU2007200516241U CN201094003Y (en) | 2007-05-18 | 2007-05-18 | Special device of tile detection based on machine vision |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNU2007200516241U CN201094003Y (en) | 2007-05-18 | 2007-05-18 | Special device of tile detection based on machine vision |
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| Publication Number | Publication Date |
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| CN201094003Y true CN201094003Y (en) | 2008-07-30 |
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| Application Number | Title | Priority Date | Filing Date |
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| CNU2007200516241U Expired - Fee Related CN201094003Y (en) | 2007-05-18 | 2007-05-18 | Special device of tile detection based on machine vision |
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| Country | Link |
|---|---|
| CN (1) | CN201094003Y (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102095373A (en) * | 2011-01-10 | 2011-06-15 | 上海理工大学 | System for detecting size of sealing member |
| CN103018250A (en) * | 2012-12-12 | 2013-04-03 | 江南大学 | Image detection system for seamlines of fabric in calendering process |
| CN103105132A (en) * | 2012-08-31 | 2013-05-15 | 成都唐源电气有限责任公司 | Non-contact geometrical parameter detecting system based on machine vision |
| CN106679566A (en) * | 2017-01-19 | 2017-05-17 | 佛山职业技术学院 | Quick detector of large format tiles |
| CN106767435A (en) * | 2016-12-26 | 2017-05-31 | 佛山市博晖智能科技有限公司 | A kind of detecting system for Ceramic Tiles multiple parameters Indexs measure |
| CN106767468A (en) * | 2016-12-29 | 2017-05-31 | 贵州虹轴轴承有限公司 | A kind of bearing ring outer wall accuracy detecting device |
| CN108489548A (en) * | 2018-04-11 | 2018-09-04 | 广东理工学院 | Plank detecting system |
| CN108917663A (en) * | 2018-07-10 | 2018-11-30 | 广东奥普特科技股份有限公司 | A kind of detection device and detection method of highlight surface flatness |
| CN113640310A (en) * | 2021-10-18 | 2021-11-12 | 南京光衡科技有限公司 | Tile surface defect detection visual system and detection method |
-
2007
- 2007-05-18 CN CNU2007200516241U patent/CN201094003Y/en not_active Expired - Fee Related
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102095373A (en) * | 2011-01-10 | 2011-06-15 | 上海理工大学 | System for detecting size of sealing member |
| CN102095373B (en) * | 2011-01-10 | 2012-11-07 | 上海理工大学 | System for detecting size of sealing member |
| CN103105132A (en) * | 2012-08-31 | 2013-05-15 | 成都唐源电气有限责任公司 | Non-contact geometrical parameter detecting system based on machine vision |
| CN103018250A (en) * | 2012-12-12 | 2013-04-03 | 江南大学 | Image detection system for seamlines of fabric in calendering process |
| CN103018250B (en) * | 2012-12-12 | 2014-12-24 | 江南大学 | Image detection system for seamlines of fabric in calendering process |
| CN106767435A (en) * | 2016-12-26 | 2017-05-31 | 佛山市博晖智能科技有限公司 | A kind of detecting system for Ceramic Tiles multiple parameters Indexs measure |
| CN106767468A (en) * | 2016-12-29 | 2017-05-31 | 贵州虹轴轴承有限公司 | A kind of bearing ring outer wall accuracy detecting device |
| CN106767468B (en) * | 2016-12-29 | 2019-03-01 | 贵州虹轴轴承有限公司 | A kind of bearing ring outer wall accuracy detecting device |
| CN106679566A (en) * | 2017-01-19 | 2017-05-17 | 佛山职业技术学院 | Quick detector of large format tiles |
| CN108489548A (en) * | 2018-04-11 | 2018-09-04 | 广东理工学院 | Plank detecting system |
| CN108917663A (en) * | 2018-07-10 | 2018-11-30 | 广东奥普特科技股份有限公司 | A kind of detection device and detection method of highlight surface flatness |
| CN108917663B (en) * | 2018-07-10 | 2024-03-26 | 广东奥普特科技股份有限公司 | Detection device and detection method for high-gloss-surface flatness |
| CN113640310A (en) * | 2021-10-18 | 2021-11-12 | 南京光衡科技有限公司 | Tile surface defect detection visual system and detection method |
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| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20080730 |