CN103616389A - Automatic detection device and method for container label - Google Patents
Automatic detection device and method for container label Download PDFInfo
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- CN103616389A CN103616389A CN201310631624.9A CN201310631624A CN103616389A CN 103616389 A CN103616389 A CN 103616389A CN 201310631624 A CN201310631624 A CN 201310631624A CN 103616389 A CN103616389 A CN 103616389A
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Abstract
The invention discloses an automatic detection device for a container label. The automatic detection device comprises a plurality of cameras for simultaneously shooting a label of a container to be detected, backlight sources which correspond to the cameras one by one, are provided with diffuse reflection plates and can adjust the luminous intensity of the diffuse reflection plates, a control unit which is used for conveying the container to be detected into a shooting station according to a set posture and controlling the backlight sources to twinkle and the cameras to shoot, and an evaluation unit for comparing an acquired image of the container with a reference image to judge whether the label is qualified. The automatic detection device disclosed by the invention can detect defects such as burrs, drapes, upwarps, breakage and staggering of the label, so that the detection efficiency and the detection precision are improved.
Description
Technical field
The present invention relates to industrial automation detection technique field, particularly a kind of automatic detection device of containers labels and method.
Background technology
In the process of the production of the industries such as beverage, grease, daily use chemicals, medicine, the label of external container will as far as possible accurately be fixed on assigned position conventionally.And in the cutting of label or fixation procedure due to cutter or drive unit, likely produce the phenomenons such as label burr, fold, perk, breakage and dislocation.
Current label checkout equipment, more pays close attention to the detection to the hole of label surface or label design, and does not focus on the profile information of containers labels to analyze.For example application number is the equipment of describing in 201010178226.2,201010269020.0 patent application document, only the pattern-information of label is analyzed, and the profile information of label is not analyzed.And the phenomenons such as label burr, fold, perk only can be slight even can not change the pattern-information of label, so this kind equipment cannot detect the problems such as label burr, fold, perk.
Comprehensive test problems for label, application number is in 201210341042.2 patent application document, to have described to utilize diffuse reflection principle to obtain label 360 degree images, its feature is mainly that four cameras and four strip sources are set, and each camera is responsible for the coverage of 90 degree.But which is used camera number more, and preposition strip light is during to photoimaging, to the label of pattern complexity carry out image while processing characteristics of image not obvious, detection algorithm difficulty is larger.
Summary of the invention
(1) technical matters that will solve
The technical problem to be solved in the present invention is: how to provide a kind of label detection method and device of omnibearing imaging, for solving the problem defect such as label burr, fold, perk, breakage and dislocation in existing high-speed automated production line; Further, the present invention also provides a kind of formation method and label image Processing Algorithm that realizes label, realizes the comprehensive online detection of label on production line.
(2) technical scheme
For addressing the above problem, the invention provides the automatic detection device that a kind of containers labels is provided on the one hand, comprising:
Multiple cameras, for take the label of same container to be detected simultaneously;
Back light, it is corresponding one by one with video camera, and described back light is with diffuse reflector, and can regulate its luminous intensity;
Control module, for container to be detected is sent into shooting station with the attitude of regulation, controls back light flicker and video camera simultaneously and takes pictures;
Assessment unit, compares the container image of acquisition and reference picture to judge that whether label is qualified.
Preferably, the quantity of described video camera is three, and between three video cameras, hoop is uniformly distributed.
On the other hand, the present invention also provides a kind of automatic testing method of containers labels, comprising:
Container to be detected with label is dropped on the rotating disk of travelling belt, and enter pick-up unit with travelling belt;
Control module is adjusted to label joint attitude forward by this container to be detected, and control this container to be detected along regulation athletic posture enter shooting station;
Control module is controlled light source and camera acquisition container image;
If in the profile information of label segment and reference picture, the profile information of label segment is analyzed in the light tight assessment unit of container to be detected and content extraction vessel image, otherwise assessment unit is analyzed at interior whole label image information and reference picture comprising label segment profile information, determines whether defective products;
The defective products signal evaluating is sent to control module, by control module, controls culling unit defective products is shifted out to product stream, complete whole testing process.
Preferably, adopt following steps to process described image:
1) bottle location adopts the template of 1*n to carry out mean filter in the ROI region of selecting, and then extracts image border, as the location feature of bottle, and carries out rotation correction;
2) label left and right edges detects, and adopts the Sobel operator of horizontal direction to obtain label left and right edges, and edge point carries out matching, judges whether to exist to stick up mark and damaged;
3) the upper and lower rim detection of label, adopts the upper and lower label edges of Sobel operator extraction of vertical direction, and upper lower limb is carried out to matching, judges whether to exist burr and dislocation.
(3) beneficial effect
The invention provides a kind of automatic detection device and method of containers labels, can tags detected burr, the problem such as fold, perk, breakage and dislocation, improved detection efficiency and accuracy of detection.
Accompanying drawing explanation
Fig. 1 is the side view of position relationship between video camera, back light and the testing container according to the embodiment of the present invention;
Fig. 2 is the vertical view according to the pick-up unit position relationship of the embodiment of the present invention;
Fig. 3 is the schematic diagram according to the logical organization of the pick-up unit of the embodiment of the present invention.
Embodiment
Below in conjunction with drawings and Examples, the specific embodiment of the present invention is described in further detail.Following examples are used for illustrating the present invention, but are not used for limiting the scope of the invention.
As shown in Figures 1 to 3, the present invention has designed a kind of pick-up unit of containers labels, and it is comprised of video camera, back light, control module, assessment unit, travelling belt and culling unit.
Wherein the quantity of video camera is preferably three, and between these three cameras, angle is 120 °.
Described video camera 1 and back light 2 are all arranged on the support of variable height, by adjusting pole height, make the center of video camera 1 optical center, label 4 and the fluoroscopic center of back light 2 point-blank.Culling unit 9 is arranged on the support of variable height, by adjusting pole height, makes culling unit 9 container 3 can be shifted out to product stream stably.Rotating disk 10 is installed, angle when capable of regulating container 3 moves on travelling belt 7 on travelling belt 7.
Container 3 is sticked or is put after label 4, on the corresponding rotating disk that drops on travelling belt 7 10, with travelling belt 7, enters shooting station.Now control module 6 control rotating disks 10 are adjusted into label 4 joints attitude forward by container 3 and enter shooting station, as shown in Figure 2.Arrive behind camera site, control module 6 control the brightness flicker that back lights 2 are suitable and control video camera 1 and collection container 3 on the image of label 4.Then by 8 pairs of images that collect of assessment unit, analyzed, if container 3 and content printing opacity thereof, analyze the contour images of label shank on the image of whole label 4 and container 3, if container 3 or content are light tight, only the contour images of label shank on container 3 are analyzed, and judged result is sent to control module 6.When defective products moves to rejecting position, by control module 6, control culling units 9 unacceptable product is shifted out to product stream, complete whole testing process.
Basic object of the present invention realizes by the following method, and the method comprises: container is sticked or puts after label, drops on travelling belt and enters pick-up unit with travelling belt.Now control module is adjusted to label joint attitude forward by this container, and control this container along regulation athletic posture enter shooting station.Control module control light source and video camera are at suitable collection container image on opportunity.If container and content are light tight, in assessment unit extraction vessel image, in the profile information of label segment and reference picture, the profile information of label segment is analyzed, otherwise assessment unit reply comprises label segment profile information and is analyzed at interior whole label image information and reference picture, determines whether defective products.Then defective products signal is sent to control module, by control module, controls culling unit defective products is shifted out to product stream, complete whole testing process.
The step of label detected image Processing Algorithm is as follows:
1) bottle location.In the ROI region of selecting, adopt the template of 1*n to carry out mean filter, then extract image border, as the location feature of bottle, and carry out rotation correction;
2) label left and right edges detects.Adopt the Sobel operator of horizontal direction to obtain label left and right edges, and edge point carries out matching, judge whether to exist and stick up mark and damaged;
3) the upper and lower rim detection of label.Adopt the upper and lower label edges of Sobel operator extraction of vertical direction, and upper lower limb is carried out to matching, judge whether the problem in burr and dislocation.
Description to the specific embodiment of the invention in conjunction with the drawings, other side of the present invention and feature are apparent to those skilled in the art.
The invention provides a kind of automatic detection device and method of containers labels, can tags detected burr, the problem such as fold, perk, breakage and dislocation, improved detection efficiency and accuracy of detection.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, do not departing under the prerequisite of the technology of the present invention principle; can also make some improvement and replacement, these improvement and replacement also should be considered as protection scope of the present invention.
Claims (4)
1. an automatic detection device for containers labels, is characterized in that, comprising:
Multiple cameras, for take the label of same container to be detected simultaneously;
Back light, it is corresponding one by one with video camera, and described back light is with diffuse reflector, and can regulate its luminous intensity;
Control module, for container to be detected is sent into shooting station with the attitude of regulation, controls back light flicker and video camera simultaneously and takes pictures;
Assessment unit, compares the container image of acquisition and reference picture to judge that whether label is qualified.
2. the automatic detection device of containers labels as claimed in claim 1, is characterized in that, the quantity of described video camera is three, and between three video cameras, hoop is uniformly distributed.
3. an automatic testing method for containers labels, is characterized in that, comprising:
Container to be detected with label is dropped on travelling belt, and enter pick-up unit with travelling belt;
Control module is controlled light source and camera acquisition container image;
If in the profile information of label segment and reference picture, the profile information of label segment is analyzed in the light tight assessment unit of container to be detected and content extraction vessel image, otherwise assessment unit is analyzed at interior whole label image information and reference picture comprising label segment profile information, determines whether defective products;
The defective products signal evaluating is sent to control module, by control module, controls culling unit defective products is shifted out to product stream, complete whole testing process.
4. method as claimed in claim 3, is characterized in that, adopts following steps to process described image:
1) bottle location adopts the template of 1*n to carry out mean filter in the ROI region of selecting, and then extracts image border, as the location feature of bottle, and carries out rotation correction;
2) label left and right edges detects, and adopts the Sobel operator of horizontal direction to obtain label left and right edges, and edge point carries out matching, judges whether to exist to stick up mark and damaged;
3) the upper and lower rim detection of label, adopts the upper and lower label edges of Sobel operator extraction of vertical direction, and upper lower limb is carried out to matching, judges whether to exist burr and dislocation.
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| CN201310631624.9A CN103616389A (en) | 2013-11-29 | 2013-11-29 | Automatic detection device and method for container label |
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| CN201310631624.9A CN103616389A (en) | 2013-11-29 | 2013-11-29 | Automatic detection device and method for container label |
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| CN104931507A (en) * | 2015-06-05 | 2015-09-23 | 天津大学 | Mobile telephone shell edge quality detection system and mobile telephone shell edge quality detection method |
| CN105416736A (en) * | 2015-12-29 | 2016-03-23 | 西安双健包装有限公司 | Label sleeving system |
| CN105460304A (en) * | 2015-12-29 | 2016-04-06 | 西安双健包装有限公司 | Labeling film adjusting system |
| CN105523245A (en) * | 2015-12-29 | 2016-04-27 | 西安双健包装有限公司 | Labeling method |
| CN106442558A (en) * | 2016-10-21 | 2017-02-22 | 上海梓威自动化科技有限公司 | Mechanical vision detection device |
| CN107991319A (en) * | 2017-12-08 | 2018-05-04 | 伟创力电子技术(苏州)有限公司 | A kind of film automatic testing method |
| CN108444391A (en) * | 2018-03-16 | 2018-08-24 | 浙江大学 | The measuring device and measuring method of solid suspension height in the transparent stirred tank of multiphase |
| CN109030359A (en) * | 2018-08-02 | 2018-12-18 | 长葛市大阳纸业有限公司 | A kind of paper test workbench |
| CN109279129A (en) * | 2018-10-25 | 2019-01-29 | 四川科伦药业股份有限公司 | One kind can found bag label information automatic checkout equipment and a method |
| CN109855563A (en) * | 2019-02-21 | 2019-06-07 | 深圳市凯中精密技术股份有限公司 | Detection method and detection device |
| TWI693396B (en) * | 2019-01-31 | 2020-05-11 | 統一企業股份有限公司 | Container defect detection device and method |
| CN111141743A (en) * | 2019-12-31 | 2020-05-12 | 四川索牌科技股份有限公司 | Envelope detection equipment and detection method thereof |
| CN111842183A (en) * | 2020-07-27 | 2020-10-30 | 深圳市维图视技术有限公司 | Bottle body detection device and bottle body detection method |
| CN113446941A (en) * | 2021-07-28 | 2021-09-28 | 蚌埠威而特旋压科技有限公司 | Intelligent production line for motor belt pulley |
| CN114460096A (en) * | 2021-12-23 | 2022-05-10 | 浙江千寻机器人有限公司 | Medicine bag foreign matter detection shooting method |
| CN114577756A (en) * | 2022-05-09 | 2022-06-03 | 烟台正德电子科技有限公司 | Light transmission uniformity detection device and detection method |
| CN115090546A (en) * | 2022-06-28 | 2022-09-23 | 华南理工大学 | Lithium cell production image data acquisition equipment |
| CN115308228A (en) * | 2022-08-05 | 2022-11-08 | 深圳市俱进纸品包装有限公司 | Visual detection device for printed label production system |
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|---|---|---|---|---|
| CN104931507B (en) * | 2015-06-05 | 2017-11-21 | 天津大学 | A kind of phone housing edge quality detecting system and detection method |
| CN104931507A (en) * | 2015-06-05 | 2015-09-23 | 天津大学 | Mobile telephone shell edge quality detection system and mobile telephone shell edge quality detection method |
| CN105460304B (en) * | 2015-12-29 | 2018-06-08 | 西安双健包装有限公司 | A kind of set mark film adjustment system |
| CN105523245A (en) * | 2015-12-29 | 2016-04-27 | 西安双健包装有限公司 | Labeling method |
| CN105460304A (en) * | 2015-12-29 | 2016-04-06 | 西安双健包装有限公司 | Labeling film adjusting system |
| CN105523245B (en) * | 2015-12-29 | 2018-06-08 | 西安双健包装有限公司 | A kind of trademark jacketing method |
| CN105416736B (en) * | 2015-12-29 | 2018-06-08 | 西安双健包装有限公司 | A kind of set mark system |
| CN105416736A (en) * | 2015-12-29 | 2016-03-23 | 西安双健包装有限公司 | Label sleeving system |
| CN106442558A (en) * | 2016-10-21 | 2017-02-22 | 上海梓威自动化科技有限公司 | Mechanical vision detection device |
| CN107991319A (en) * | 2017-12-08 | 2018-05-04 | 伟创力电子技术(苏州)有限公司 | A kind of film automatic testing method |
| CN107991319B (en) * | 2017-12-08 | 2021-03-23 | 伟创力电子技术(苏州)有限公司 | Automatic film detection method |
| CN108444391A (en) * | 2018-03-16 | 2018-08-24 | 浙江大学 | The measuring device and measuring method of solid suspension height in the transparent stirred tank of multiphase |
| CN108444391B (en) * | 2018-03-16 | 2024-05-03 | 浙江大学 | Measuring device and measuring method for solid phase suspension height in multiphase transparent stirring kettle |
| CN109030359A (en) * | 2018-08-02 | 2018-12-18 | 长葛市大阳纸业有限公司 | A kind of paper test workbench |
| CN109279129A (en) * | 2018-10-25 | 2019-01-29 | 四川科伦药业股份有限公司 | One kind can found bag label information automatic checkout equipment and a method |
| CN109279129B (en) * | 2018-10-25 | 2023-09-22 | 四川科伦药业股份有限公司 | Automatic detection equipment and method for label information of standing bag |
| TWI693396B (en) * | 2019-01-31 | 2020-05-11 | 統一企業股份有限公司 | Container defect detection device and method |
| CN109855563A (en) * | 2019-02-21 | 2019-06-07 | 深圳市凯中精密技术股份有限公司 | Detection method and detection device |
| CN109855563B (en) * | 2019-02-21 | 2024-06-18 | 深圳市凯中精密技术股份有限公司 | Detection method and detection device |
| CN111141743A (en) * | 2019-12-31 | 2020-05-12 | 四川索牌科技股份有限公司 | Envelope detection equipment and detection method thereof |
| CN111842183A (en) * | 2020-07-27 | 2020-10-30 | 深圳市维图视技术有限公司 | Bottle body detection device and bottle body detection method |
| CN113446941A (en) * | 2021-07-28 | 2021-09-28 | 蚌埠威而特旋压科技有限公司 | Intelligent production line for motor belt pulley |
| CN114460096A (en) * | 2021-12-23 | 2022-05-10 | 浙江千寻机器人有限公司 | Medicine bag foreign matter detection shooting method |
| CN114577756A (en) * | 2022-05-09 | 2022-06-03 | 烟台正德电子科技有限公司 | Light transmission uniformity detection device and detection method |
| CN115090546A (en) * | 2022-06-28 | 2022-09-23 | 华南理工大学 | Lithium cell production image data acquisition equipment |
| CN115090546B (en) * | 2022-06-28 | 2023-03-10 | 华南理工大学 | Lithium cell production image data acquisition equipment |
| CN115308228A (en) * | 2022-08-05 | 2022-11-08 | 深圳市俱进纸品包装有限公司 | Visual detection device for printed label production system |
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