CN106546600A - 一种基于机器视觉的pet瓶多角度检测方法和装置 - Google Patents
一种基于机器视觉的pet瓶多角度检测方法和装置 Download PDFInfo
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- CN106546600A CN106546600A CN201610948636.8A CN201610948636A CN106546600A CN 106546600 A CN106546600 A CN 106546600A CN 201610948636 A CN201610948636 A CN 201610948636A CN 106546600 A CN106546600 A CN 106546600A
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- 238000001514 detection method Methods 0.000 title claims abstract description 66
- 239000007788 liquid Substances 0.000 claims abstract description 51
- 230000007547 defect Effects 0.000 claims abstract description 29
- 238000000034 method Methods 0.000 claims abstract description 21
- 238000003384 imaging method Methods 0.000 claims description 11
- 230000005540 biological transmission Effects 0.000 claims description 4
- 230000008859 change Effects 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 230000033001 locomotion Effects 0.000 claims description 3
- 239000000203 mixture Substances 0.000 claims description 3
- 239000000523 sample Substances 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 2
- 230000008569 process Effects 0.000 claims description 2
- 238000007689 inspection Methods 0.000 abstract 1
- 238000004519 manufacturing process Methods 0.000 description 9
- 238000012360 testing method Methods 0.000 description 6
- 238000012545 processing Methods 0.000 description 4
- 235000013361 beverage Nutrition 0.000 description 3
- 230000002950 deficient Effects 0.000 description 3
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- 238000002474 experimental method Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 3
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- 238000001914 filtration Methods 0.000 description 2
- 230000011218 segmentation Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 239000003651 drinking water Substances 0.000 description 1
- 235000020188 drinking water Nutrition 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
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Classifications
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- 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
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- 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
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
- G01N21/892—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the flaw, defect or object feature examined
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- 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
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- General Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
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- Chemical & Material Sciences (AREA)
- Pathology (AREA)
- Biochemistry (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Textile Engineering (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Signal Processing (AREA)
- Image Analysis (AREA)
Abstract
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Priority Applications (1)
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CN201610948636.8A CN106546600B (zh) | 2016-10-26 | 2016-10-26 | 一种基于机器视觉的pet瓶多角度检测方法和装置 |
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CN201610948636.8A CN106546600B (zh) | 2016-10-26 | 2016-10-26 | 一种基于机器视觉的pet瓶多角度检测方法和装置 |
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CN106546600A true CN106546600A (zh) | 2017-03-29 |
CN106546600B CN106546600B (zh) | 2019-07-16 |
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107525811A (zh) * | 2017-08-09 | 2017-12-29 | 爱维迅自动化科技(昆山)有限公司 | 一种视觉检测装置及方法,尤其是包装瓶视觉检测方法 |
CN108871224A (zh) * | 2018-06-06 | 2018-11-23 | 杭州电子科技大学 | 一种用于led玻璃灯杯的凹槽深度检测方法 |
CN109596637A (zh) * | 2017-09-30 | 2019-04-09 | 湖南海擎智能科技有限责任公司 | 物体凹凸瑕疵视觉检测方法及检测装置 |
CN111458342A (zh) * | 2020-05-21 | 2020-07-28 | 佛山职业技术学院 | 一种基于机器视觉的pet瓶坯缺陷检测平台 |
CN114565848A (zh) * | 2022-02-25 | 2022-05-31 | 佛山读图科技有限公司 | 一种复杂场景的药液液位检测方法及系统 |
CN114581653A (zh) * | 2022-01-21 | 2022-06-03 | 北京信息科技大学 | 一种微孔板的液位检测方法、设备、介质及产品 |
CN115291765A (zh) * | 2022-09-29 | 2022-11-04 | 成都普什制药有限公司 | 联排安瓿瓶识别系统及识别方法及储存介质 |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0047936A1 (de) * | 1980-09-17 | 1982-03-24 | Siemens Aktiengesellschaft | Verfahren und Anordnung zur optisch-elektronischen Erfassung von Oberflächenstrukturen an rotationssymmetrischen Körpern |
JP2005134358A (ja) * | 2003-10-28 | 2005-05-26 | Yoshihiko Takashima | 4枚の傾斜ミラーの使用により、カメラ1台で平面と4方向側面を撮像する方式 |
CN102519972A (zh) * | 2011-12-10 | 2012-06-27 | 山东明佳包装检测科技有限公司 | 一种pet瓶瓶盖和液位的检测方法 |
CN104764746A (zh) * | 2014-01-06 | 2015-07-08 | 山东明佳包装检测科技有限公司 | 一种全方位pet瓶盖防盗环缺陷的检测方法 |
-
2016
- 2016-10-26 CN CN201610948636.8A patent/CN106546600B/zh active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0047936A1 (de) * | 1980-09-17 | 1982-03-24 | Siemens Aktiengesellschaft | Verfahren und Anordnung zur optisch-elektronischen Erfassung von Oberflächenstrukturen an rotationssymmetrischen Körpern |
JP2005134358A (ja) * | 2003-10-28 | 2005-05-26 | Yoshihiko Takashima | 4枚の傾斜ミラーの使用により、カメラ1台で平面と4方向側面を撮像する方式 |
CN102519972A (zh) * | 2011-12-10 | 2012-06-27 | 山东明佳包装检测科技有限公司 | 一种pet瓶瓶盖和液位的检测方法 |
CN104764746A (zh) * | 2014-01-06 | 2015-07-08 | 山东明佳包装检测科技有限公司 | 一种全方位pet瓶盖防盗环缺陷的检测方法 |
Non-Patent Citations (3)
Title |
---|
WENJU ZHOU ET AL.: "A sparse representation based fast detection method for surface defect detection of bottle caps", 《NEUROCOMPUTING》 * |
蒋笑笑等: "基于灰度投影梯度扩散的PET满瓶快速检测", 《电子测量与仪器学报》 * |
郑云峰等: "基于直线拟合算法的PET瓶瓶盖检测方法", 《计算机应用研究》 * |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107525811A (zh) * | 2017-08-09 | 2017-12-29 | 爱维迅自动化科技(昆山)有限公司 | 一种视觉检测装置及方法,尤其是包装瓶视觉检测方法 |
CN107525811B (zh) * | 2017-08-09 | 2020-06-23 | 爱维迅自动化科技(昆山)有限公司 | 一种视觉检测装置及方法,尤其是包装瓶视觉检测方法 |
CN109596637A (zh) * | 2017-09-30 | 2019-04-09 | 湖南海擎智能科技有限责任公司 | 物体凹凸瑕疵视觉检测方法及检测装置 |
CN108871224A (zh) * | 2018-06-06 | 2018-11-23 | 杭州电子科技大学 | 一种用于led玻璃灯杯的凹槽深度检测方法 |
CN111458342A (zh) * | 2020-05-21 | 2020-07-28 | 佛山职业技术学院 | 一种基于机器视觉的pet瓶坯缺陷检测平台 |
CN114581653A (zh) * | 2022-01-21 | 2022-06-03 | 北京信息科技大学 | 一种微孔板的液位检测方法、设备、介质及产品 |
CN114565848A (zh) * | 2022-02-25 | 2022-05-31 | 佛山读图科技有限公司 | 一种复杂场景的药液液位检测方法及系统 |
CN114565848B (zh) * | 2022-02-25 | 2022-12-02 | 佛山读图科技有限公司 | 一种复杂场景的药液液位检测方法及系统 |
CN115291765A (zh) * | 2022-09-29 | 2022-11-04 | 成都普什制药有限公司 | 联排安瓿瓶识别系统及识别方法及储存介质 |
CN115291765B (zh) * | 2022-09-29 | 2022-12-20 | 成都普什制药有限公司 | 联排安瓿瓶识别系统及识别方法及储存介质 |
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CN106546600B (zh) | 2019-07-16 |
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Inventor after: Wang Yaonan Inventor after: Li Mingjun Inventor after: Yan Jiadong Inventor after: Huang Senlin Inventor after: Zhou Xianen Inventor after: Peng Yu Inventor after: Mao Jianxu Inventor after: Zhu Qing Inventor after: Liu Yuanqiang Inventor after: Liu Fang Inventor before: Wang Yaonan Inventor before: Yan Jiadong Inventor before: Huang Senlin Inventor before: Zhou Xianen Inventor before: Peng Yu |
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Effective date of registration: 20170627 Address after: Yuelu District City, Hunan province 410082 Changsha Lushan Road No. 2 Applicant after: HUNAN University Applicant after: FOSHAN XIANGDE INTELLIGENT TECHNOLOGY CO.,LTD. Address before: Yuelu District City, Hunan province 410082 Changsha Lushan Road No. 2 Applicant before: Hunan University |
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Effective date of registration: 20231121 Address after: Yuelu District City, Hunan province 410082 Changsha Lushan Road No. 2 Patentee after: HUNAN University Address before: Yuelu District City, Hunan province 410082 Changsha Lushan Road No. 2 Patentee before: HUNAN University Patentee before: FOSHAN XIANGDE INTELLIGENT TECHNOLOGY CO.,LTD. |