CN109596625A - 料盘中的工件缺陷检测识别方法 - Google Patents
料盘中的工件缺陷检测识别方法 Download PDFInfo
- Publication number
- CN109596625A CN109596625A CN201910101499.8A CN201910101499A CN109596625A CN 109596625 A CN109596625 A CN 109596625A CN 201910101499 A CN201910101499 A CN 201910101499A CN 109596625 A CN109596625 A CN 109596625A
- Authority
- CN
- China
- Prior art keywords
- workpiece
- charging tray
- recognition method
- defect detection
- cabinet
- 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.)
- Pending
Links
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
- G01N21/8806—Specially adapted optical and illumination features
-
- 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
- G01N21/84—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
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (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)
- Image Processing (AREA)
Abstract
Description
Claims (10)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910101499.8A CN109596625A (zh) | 2019-02-01 | 2019-02-01 | 料盘中的工件缺陷检测识别方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910101499.8A CN109596625A (zh) | 2019-02-01 | 2019-02-01 | 料盘中的工件缺陷检测识别方法 |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109596625A true CN109596625A (zh) | 2019-04-09 |
Family
ID=65967245
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910101499.8A Pending CN109596625A (zh) | 2019-02-01 | 2019-02-01 | 料盘中的工件缺陷检测识别方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109596625A (zh) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110108724A (zh) * | 2019-04-20 | 2019-08-09 | 东莞中科蓝海智能视觉科技有限公司 | 条状工件视觉检测*** |
CN115018846A (zh) * | 2022-08-09 | 2022-09-06 | 东声(苏州)智能科技有限公司 | 基于ai智能相机的多目标裂纹缺陷检测方法和装置 |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102654902A (zh) * | 2012-01-16 | 2012-09-05 | 江南大学 | 基于轮廓向量特征的嵌入式实时图像匹配方法 |
CN104215639A (zh) * | 2013-06-05 | 2014-12-17 | 江南大学 | 一种基于机器视觉的梨表面缺陷检测方法 |
CN104568986A (zh) * | 2015-01-26 | 2015-04-29 | 中国科学院半导体研究所 | 基于surf算法的遥控器面板印刷缺陷自动检测方法 |
CN104820986A (zh) * | 2015-04-28 | 2015-08-05 | 电子科技大学 | 一种基于机器视觉的线缆在线检测方法 |
CN107220649A (zh) * | 2017-05-27 | 2017-09-29 | 江苏理工学院 | 一种素色布匹缺陷检测和分类方法 |
CN107389701A (zh) * | 2017-08-22 | 2017-11-24 | 西北工业大学 | 一种基于图像的pcb表观缺陷自动检测***及方法 |
CN107664645A (zh) * | 2016-07-29 | 2018-02-06 | 欧姆龙株式会社 | 照明单元、缺陷检查装置及照明方法 |
CN107966448A (zh) * | 2017-11-17 | 2018-04-27 | 福建工程学院 | 一种用于pcb锡膏印刷质量的2维检测方法 |
CN108273769A (zh) * | 2018-04-13 | 2018-07-13 | 四川巴斯德环境检测技术有限责任公司 | 一种基于机器视觉技术的产品表面质量检测*** |
-
2019
- 2019-02-01 CN CN201910101499.8A patent/CN109596625A/zh active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102654902A (zh) * | 2012-01-16 | 2012-09-05 | 江南大学 | 基于轮廓向量特征的嵌入式实时图像匹配方法 |
CN104215639A (zh) * | 2013-06-05 | 2014-12-17 | 江南大学 | 一种基于机器视觉的梨表面缺陷检测方法 |
CN104568986A (zh) * | 2015-01-26 | 2015-04-29 | 中国科学院半导体研究所 | 基于surf算法的遥控器面板印刷缺陷自动检测方法 |
CN104820986A (zh) * | 2015-04-28 | 2015-08-05 | 电子科技大学 | 一种基于机器视觉的线缆在线检测方法 |
CN107664645A (zh) * | 2016-07-29 | 2018-02-06 | 欧姆龙株式会社 | 照明单元、缺陷检查装置及照明方法 |
CN107220649A (zh) * | 2017-05-27 | 2017-09-29 | 江苏理工学院 | 一种素色布匹缺陷检测和分类方法 |
CN107389701A (zh) * | 2017-08-22 | 2017-11-24 | 西北工业大学 | 一种基于图像的pcb表观缺陷自动检测***及方法 |
CN107966448A (zh) * | 2017-11-17 | 2018-04-27 | 福建工程学院 | 一种用于pcb锡膏印刷质量的2维检测方法 |
CN108273769A (zh) * | 2018-04-13 | 2018-07-13 | 四川巴斯德环境检测技术有限责任公司 | 一种基于机器视觉技术的产品表面质量检测*** |
Non-Patent Citations (2)
Title |
---|
吴强等: "基于机器视觉的零件缺陷检测算法", 《科学技术创新》 * |
高宏伟: "《电子封装工艺与装备技术基础教程》", 31 December 2017 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110108724A (zh) * | 2019-04-20 | 2019-08-09 | 东莞中科蓝海智能视觉科技有限公司 | 条状工件视觉检测*** |
CN115018846A (zh) * | 2022-08-09 | 2022-09-06 | 东声(苏州)智能科技有限公司 | 基于ai智能相机的多目标裂纹缺陷检测方法和装置 |
CN115018846B (zh) * | 2022-08-09 | 2022-12-27 | 东声(苏州)智能科技有限公司 | 基于ai智能相机的多目标裂纹缺陷检测方法和装置 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110108711A (zh) | 圆环侧壁缺陷的视觉检测*** | |
CN105938243B (zh) | 一种tft‑lcd检测中多倍率显微镜快速对焦方法 | |
CN109859192A (zh) | 圆形高反光工件的检测识别方法 | |
CN106323600B (zh) | 一种级联分布式aoi缺陷检测***及其检测方法 | |
CN108288288B (zh) | 基于视觉识别的精密轴尺寸测量方法、装置和*** | |
CN106210520B (zh) | 一种自动调焦电子目镜及*** | |
CN102589516B (zh) | 一种基于双目线扫描摄像机的动态距离测量*** | |
CN106707448B (zh) | 一种透镜组装用的调整***、调整方法和显示模组 | |
CN105021628A (zh) | 一种用于光纤倒像器表面缺陷的检测方法 | |
CN109596054A (zh) | 长条形工件的尺寸检测识别方法 | |
CN206981462U (zh) | 基于三维视觉的冲压件表面缺陷检测装置 | |
CN110261069B (zh) | 一种用于光学镜头的检测方法 | |
CN104713527A (zh) | 单次多角度拍摄机构 | |
CN109596625A (zh) | 料盘中的工件缺陷检测识别方法 | |
CN105785561B (zh) | 一种数字显微镜及其聚焦方法 | |
CN108805870A (zh) | 一种带针座的接插件的检测方法 | |
CN109596058A (zh) | 塑胶工件的尺寸检测识别方法 | |
CN209265169U (zh) | 一种多角度拍摄装置 | |
CN109631763A (zh) | 不规则零件检测定位方法 | |
CN112304951A (zh) | 一种双目单线光路对高反光焊缝的视觉检测装置及方法 | |
CN109596626A (zh) | 高光磁环工件视觉检测方法 | |
CN109632814A (zh) | 零件缺陷检测方法 | |
CN1234237C (zh) | 矩阵像素器件投影显示器的三色会聚方法 | |
CN210102906U (zh) | 一种微型化电容的自动识别抓取装置 | |
CN109632802A (zh) | 零件正反面检测调节方法 |
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 | ||
TA01 | Transfer of patent application right | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20190920 Address after: 528000 Room 409, 4-storey, Fengshou Street, Chao'an South Road, Zumiao Street, Chancheng District, Foshan City, Guangdong Province Applicant after: Zhongke Fenghai (Foshan) Intelligent Technology Co., Ltd. Address before: Room 301, Unit 2, Building No. 10, Science and Technology Second Road, Songshan Lake Park, Dongguan City, Guangdong Province Applicant before: Dongguan Zhongke blue sea Intelligent Vision Technology Co., Ltd. |
|
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190409 |