CN203061453U - Vision separation system for color difference of tiles - Google Patents
Vision separation system for color difference of tiles Download PDFInfo
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- CN203061453U CN203061453U CN 201220564547 CN201220564547U CN203061453U CN 203061453 U CN203061453 U CN 203061453U CN 201220564547 CN201220564547 CN 201220564547 CN 201220564547 U CN201220564547 U CN 201220564547U CN 203061453 U CN203061453 U CN 203061453U
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Abstract
The utility model discloses a vision separation system for color difference of tiles. The system comprises a conveying belt, an optical trigger and a detecting box, wherein both the optical trigger and the detecting box are arranged on a line frame of the conveying belt; a light source, an industrial camera, an image acquisition card and an industrial control computer are arranged in the detecting box; a vision inspection system and an inspection and evaluation software system are configured in the industrial control computer; the industrial camera is connected with the optical trigger and the image acquisition card respectively; and both the optical trigger and the image acquisition card are connected with the industrial control computer. The system disclosed by the utility model has the advantages that automatic separation can be carried out according to different tile surface color classifications and the color difference separating accuracy is high.
Description
Technical field
The utility model relates to ceramic tile detection technique field, relates in particular to a kind of ceramic tile aberration visual selection system.
Background technology
The ceramic tile surface color classification is primarily aimed at ceramic tile in process, owing to reasons such as raw material changes, the variation of calcining system, polishing are deep mixed cause the surface color of ceramic tile surface color and standard brick to depart from, and form the situation of so-called aberration in the industry, ceramic tile is done sorting, can reduce the paving defective of ceramic tile.
The surface colour classification sorting of building ceramics factory ceramic tile all the time all is a difficult problem, and traditional artificial separation method is owing to be subjected to the influence of variation, the workman's of light factors such as physiological change, sight angle variation, and the accuracy of aberration sorting is not high.
Summary of the invention
The utility model provides a kind of ceramic tile aberration visual selection system, can make automatic sorting at different ceramic tile surface color classifications, and the accuracy height of aberration sorting.
The utility model embodiment provides a kind of ceramic tile aberration visual selection system, comprises transmission belt, optical flip-flop and detection case;
Described optical flip-flop and described detection case are installed on the coil holder of described transmission belt;
The industrial computer that light source, industrial camera, image pick-up card and internal configurations have vision-based detection and detect the assessment software systems is installed in the described detection case;
Described industrial camera respectively with described optical flip-flop, described IMAQ card connection, and described optical flip-flop, described image pick-up card all are connected with described industrial computer.
In one implementation, a plurality of industrial cameras are installed on the coil holder of described transmission belt, each industrial camera is connected with described optical flip-flop, and the ceramic tile image to be checked that each industrial camera absorbs is transferred to described industrial computer by described image pick-up card.
The ceramic tile aberration visual selection system that the utility model embodiment provides, in time absorbed the image of ceramic tile to be checked by industrial computer control industrial camera, the image that absorbs can objective reality ground the surface color of reaction ceramic tile, by high efficiency vision-based detection and detection evaluating system the view data of picked-up is handled again, can make automatic sorting at different ceramic tile surface color classifications, and the accuracy height of aberration sorting.In addition, the utility model is taked contactless continuous detecting, and the detection speed height, can satisfy the requirement of the on-line continuous production of ceramic tile.
Description of drawings
Fig. 1 is the structural representation of an embodiment of the ceramic tile aberration visual selection system that provides of the utility model;
Fig. 2 is the structural representation of an embodiment of the detection case of the ceramic tile aberration visual selection system that provides of the utility model.
The specific embodiment
Below in conjunction with the accompanying drawing among the utility model embodiment, the technical scheme among the utility model embodiment is clearly and completely described.
Referring to Fig. 1, it is the structural representation of an embodiment of the ceramic tile aberration visual selection system that provides of the utility model.
The utility model provides a kind of ceramic tile aberration visual selection system, comprises transmission belt 1, optical flip-flop 2 and detection case 3;
Optical flip-flop 2 and detection case 3 are installed on the coil holder of transmission belt 1.
Referring to Fig. 2, it is the structural representation of an embodiment of the detection case of the ceramic tile aberration visual selection system that provides of the utility model.
Concrete, industrial camera 31 is connected with optical flip-flop 2, image pick-up card 32 respectively, and optical flip-flop 2, image pick-up card 32 all are connected with industrial computer 33.
The operation principle of the ceramic tile aberration visual selection system that the utility model provides is as follows:
Transmission belt 1 is used for carrying ceramic tile to be checked, drives ceramic tile to be checked through optical flip-flop 2 and detection case 3.When ceramic tile to be checked passes through optical flip-flop 2, optical flip-flop 2 sends triggering signal after sensing the position of ceramic tile to be checked, trigger the image of industrial camera 31 picked-ups ceramic tile to be checked, and image is transferred to the data processing centre of industrial computer 33 by image pick-up card 32, by vision-based detection and detection assessment software systems image is analyzed again, being done outstanding number classification and judging.
Concrete, after industrial computer 33 receives the image of ceramic tile to be checked, utilize the vision detection software system to search ceramic tile surface color, pattern.By after detecting the assessment software systems quality control standard of surface color, pattern and the producer of ceramic tile to be checked being compared, the surface color of this ceramic tile to be checked is done outstanding number judgement again.Wherein, look number set be professional quality inspection personnel according to manufacturer's quality control standard calibrating product sampling, feed back to industrial computer data processing centre by the industrial camera collection, after professional software is handled as the reference frame of intelligent decision.
One preferred embodiment in, a plurality of industrial cameras are installed on the coil holder of described transmission belt 1, each industrial camera is connected with described optical flip-flop 2, and the ceramic tile image to be checked that each industrial camera absorbs is transferred to described industrial computer 33 by described image pick-up card 32.Present embodiment is by a plurality of industrial cameras of configuration, and the capture scope comprises the plane of whole ceramic tile to be checked, and objective reality ground reacts the surface color of ceramic tile more, thereby can improve the accuracy of aberration sorting.
The ceramic tile aberration visual selection system that the utility model embodiment provides, in time absorbed the image of ceramic tile to be checked by industrial computer control industrial camera, the image that absorbs can objective reality ground the surface color of reaction ceramic tile, by high efficiency vision-based detection and detection evaluating system the view data of picked-up is handled again, can make automatic sorting at different ceramic tile surface color classifications, and the accuracy height of aberration sorting.In addition, the utility model is taked contactless continuous detecting, and the detection speed height, can satisfy the requirement of the on-line continuous production of ceramic tile.
The above is preferred embodiment of the present utility model; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the utility model principle; can also make some improvements and modifications, these improvements and modifications also are considered as protection domain of the present utility model.
Claims (2)
1. a ceramic tile aberration visual selection system is characterized in that, comprises transmission belt, optical flip-flop and detection case;
Described optical flip-flop and described detection case are installed on the coil holder of described transmission belt;
The industrial computer that light source, industrial camera, image pick-up card and internal configurations have vision-based detection and detect the assessment software systems is installed in the described detection case;
Described industrial camera respectively with described optical flip-flop, described IMAQ card connection, and described optical flip-flop, described image pick-up card all are connected with described industrial computer.
2. ceramic tile aberration visual selection as claimed in claim 1 system, it is characterized in that, a plurality of industrial cameras are installed on the coil holder of described transmission belt, each industrial camera is connected with described optical flip-flop, and the ceramic tile image to be checked that each industrial camera absorbs is transferred to described industrial computer by described image pick-up card.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220564547 CN203061453U (en) | 2012-10-31 | 2012-10-31 | Vision separation system for color difference of tiles |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220564547 CN203061453U (en) | 2012-10-31 | 2012-10-31 | Vision separation system for color difference of tiles |
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| Publication Number | Publication Date |
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| CN203061453U true CN203061453U (en) | 2013-07-17 |
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| CN 201220564547 Expired - Lifetime CN203061453U (en) | 2012-10-31 | 2012-10-31 | Vision separation system for color difference of tiles |
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104165696A (en) * | 2014-05-28 | 2014-11-26 | 昆明理工大学 | Material surface color feature on-line automatic detection method |
| CN104307765A (en) * | 2014-08-26 | 2015-01-28 | 佛山市南海区虞氏包装机械厂 | Kiln-tail automatic color separation system |
| CN104394385A (en) * | 2014-12-10 | 2015-03-04 | 华南师范大学 | Online detection device and detection method for ceramic tile quality |
| CN106269578A (en) * | 2016-09-29 | 2017-01-04 | 佛山科学技术学院 | A kind of many color mosaics grain sortings mechanism of view-based access control model identification |
| CN107345919A (en) * | 2017-06-29 | 2017-11-14 | 佛山华芯微特科技有限公司 | A kind of ceramic tile acetes chinensis system |
| CN109425432A (en) * | 2017-09-04 | 2019-03-05 | 青岛优视界智能装备有限公司 | A kind of stone material Chromatism classification detection cognitron |
| CN109732765A (en) * | 2018-12-27 | 2019-05-10 | 佛山欧神诺陶瓷有限公司 | A method of for ceramic tile identification, record, tracking and sorting |
| CN109800772A (en) * | 2019-01-30 | 2019-05-24 | 广州市载道信息科技有限公司 | A kind of data identification method |
| WO2019102391A1 (en) * | 2017-11-23 | 2019-05-31 | System S.P.A. | A graphic adaptation method and system for ceramic supports, specifically tiles |
| CN109829496A (en) * | 2019-01-30 | 2019-05-31 | 广州市载道信息科技有限公司 | A kind of physical measurement classification method and equipment |
| CN110296997A (en) * | 2019-07-03 | 2019-10-01 | 三峡大学 | The defect inspection method and device of ceramic tile based on machine vision |
| CN110715733A (en) * | 2019-11-11 | 2020-01-21 | 佛山市新石器机器人有限公司 | Tile surface color difference detection equipment and method |
| CN110947637A (en) * | 2019-12-31 | 2020-04-03 | 佛山喀视科技有限公司 | Ceramic tile sorting system |
| CN117644057A (en) * | 2024-01-29 | 2024-03-05 | 蒙娜丽莎集团股份有限公司 | Ceramic tile classified conveying method, system and readable storage medium |
-
2012
- 2012-10-31 CN CN 201220564547 patent/CN203061453U/en not_active Expired - Lifetime
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104165696A (en) * | 2014-05-28 | 2014-11-26 | 昆明理工大学 | Material surface color feature on-line automatic detection method |
| CN104307765A (en) * | 2014-08-26 | 2015-01-28 | 佛山市南海区虞氏包装机械厂 | Kiln-tail automatic color separation system |
| CN104307765B (en) * | 2014-08-26 | 2017-09-19 | 佛山市南海区虞氏包装机械厂 | Kiln tail automatic color separation system |
| CN104394385A (en) * | 2014-12-10 | 2015-03-04 | 华南师范大学 | Online detection device and detection method for ceramic tile quality |
| CN104394385B (en) * | 2014-12-10 | 2018-08-31 | 华南师范大学 | A kind of ceramic tile quality on-line detecting device and its detection method |
| CN106269578A (en) * | 2016-09-29 | 2017-01-04 | 佛山科学技术学院 | A kind of many color mosaics grain sortings mechanism of view-based access control model identification |
| CN107345919A (en) * | 2017-06-29 | 2017-11-14 | 佛山华芯微特科技有限公司 | A kind of ceramic tile acetes chinensis system |
| CN109425432A (en) * | 2017-09-04 | 2019-03-05 | 青岛优视界智能装备有限公司 | A kind of stone material Chromatism classification detection cognitron |
| WO2019102391A1 (en) * | 2017-11-23 | 2019-05-31 | System S.P.A. | A graphic adaptation method and system for ceramic supports, specifically tiles |
| US11200469B2 (en) | 2017-11-23 | 2021-12-14 | System Ceramics S.P.A. | Graphic adaptation method and system for ceramic supports, specifically tiles |
| CN109732765A (en) * | 2018-12-27 | 2019-05-10 | 佛山欧神诺陶瓷有限公司 | A method of for ceramic tile identification, record, tracking and sorting |
| CN109829496A (en) * | 2019-01-30 | 2019-05-31 | 广州市载道信息科技有限公司 | A kind of physical measurement classification method and equipment |
| CN109829496B (en) * | 2019-01-30 | 2021-05-25 | 广州市载道信息科技有限公司 | Physical measurement classification method and equipment |
| CN109800772A (en) * | 2019-01-30 | 2019-05-24 | 广州市载道信息科技有限公司 | A kind of data identification method |
| CN110296997A (en) * | 2019-07-03 | 2019-10-01 | 三峡大学 | The defect inspection method and device of ceramic tile based on machine vision |
| CN110715733A (en) * | 2019-11-11 | 2020-01-21 | 佛山市新石器机器人有限公司 | Tile surface color difference detection equipment and method |
| CN110947637A (en) * | 2019-12-31 | 2020-04-03 | 佛山喀视科技有限公司 | Ceramic tile sorting system |
| CN117644057A (en) * | 2024-01-29 | 2024-03-05 | 蒙娜丽莎集团股份有限公司 | Ceramic tile classified conveying method, system and readable storage medium |
| CN117644057B (en) * | 2024-01-29 | 2024-05-17 | 蒙娜丽莎集团股份有限公司 | Ceramic tile classified conveying method, system and readable storage medium |
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| C14 | Grant of patent or utility model | ||
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Granted publication date: 20130717 |
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| CX01 | Expiry of patent term |