WO2011096695A2 - 검사 프로그램의 생성 방법 - Google Patents
검사 프로그램의 생성 방법 Download PDFInfo
- Publication number
- WO2011096695A2 WO2011096695A2 PCT/KR2011/000683 KR2011000683W WO2011096695A2 WO 2011096695 A2 WO2011096695 A2 WO 2011096695A2 KR 2011000683 W KR2011000683 W KR 2011000683W WO 2011096695 A2 WO2011096695 A2 WO 2011096695A2
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- image information
- difference
- lead
- substrate
- dimensional
- Prior art date
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Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K13/00—Apparatus or processes specially adapted for manufacturing or adjusting assemblages of electric components
- H05K13/08—Monitoring manufacture of assemblages
- H05K13/081—Integration of optical monitoring devices in assembly lines; Processes using optical monitoring devices specially adapted for controlling devices or machines in assembly lines
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K1/00—Soldering, e.g. brazing, or unsoldering
- B23K1/20—Preliminary treatment of work or areas to be soldered, e.g. in respect of a galvanic coating
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30141—Printed circuit board [PCB]
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K1/00—Printed circuits
- H05K1/02—Details
- H05K1/0266—Marks, test patterns or identification means
- H05K1/0269—Marks, test patterns or identification means for visual or optical inspection
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K2203/00—Indexing scheme relating to apparatus or processes for manufacturing printed circuits covered by H05K3/00
- H05K2203/16—Inspection; Monitoring; Aligning
- H05K2203/163—Monitoring a manufacturing process
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K3/00—Apparatus or processes for manufacturing printed circuits
- H05K3/30—Assembling printed circuits with electric components, e.g. with resistor
- H05K3/32—Assembling printed circuits with electric components, e.g. with resistor electrically connecting electric components or wires to printed circuits
- H05K3/34—Assembling printed circuits with electric components, e.g. with resistor electrically connecting electric components or wires to printed circuits by soldering
- H05K3/3457—Solder materials or compositions; Methods of application thereof
- H05K3/3485—Applying solder paste, slurry or powder
Definitions
- the present invention relates to a method for generating an inspection program, and more particularly, to a method for generating an inspection program by accurately extracting a lead-coated region of an inspection substrate without a gerber file.
- a mounting board in which electronic components are mounted on a printed circuit board is used in various electronic products.
- Such a mounting substrate is manufactured by applying lead to a pad region of a bare substrate and then coupling terminals of an electronic component to a lead coating region.
- a solder paste inspection (SPI) process for checking whether lead is properly applied to a pad area of the printed circuit board may be added before mounting the electronic component on the printed circuit board.
- SPI inspection is performed by generating an inspection program from a gerber file in which inspection coordinates, such as a pad area of a printed circuit board to be inspected, are stored.
- the pad region to which lead is applied is extracted from the bare substrate on which lead is not applied, and the test program is generated using the extracted information.
- the information obtained through the scan of the bare substrate may include information such as holes, silks, etc., similar to the pad, in addition to the pad area, and thus it is difficult to accurately extract only the pad area.
- the present invention has been made in view of such a problem, and the present invention provides a method for generating an accurate inspection program by extracting an accurate position and size of a lead-coated region of an inspection substrate without a gerber file.
- a method of generating an inspection program scanning a bare substrate to obtain first image information, and scanning a lead-coated substrate coated with lead to a pad region of the bare substrate to obtain second image information. And generating a test program by analyzing the first image information and the second image information.
- the first image information and the second image information each include at least one of two-dimensional image information and three-dimensional image information.
- the generating of the inspection program may include calculating a difference between the first image information and the second image information, extracting a position and a size of a region having a difference, and extracting the inspection program through the extracted information. It may comprise the step of generating.
- the difference between the 2D image information included in the first image information and the 2D image information included in the second image information may be determined.
- the difference of the 2D image information may be a relative gray level difference.
- the difference between the 3D image information included in the first image information and the 3D image information included in the second image information may be determined.
- the difference of the 3D image information may be a relative height difference.
- the calculating of the difference between the first image information and the second image information as another example, an image obtained by two-dimensional imaging the height value of the three-dimensional image information included in the first image information and the second image information It is possible to calculate the difference between the two-dimensional image of the height value of the three-dimensional image information included in.
- a standard deviation or average value of the first image informations is obtained.
- the inspection program using a standard deviation or an average value of the second image information.
- the bare substrate and the lead-coated substrate are inspected, respectively, and the difference between the two-dimensional image information or the three-dimensional image information obtained therefrom is analyzed to determine the exact position and size of the lead coated region. This allows you to create accurate inspection programs without gerber files, reducing false negatives, increasing productivity and reducing inspection program creation time.
- FIG. 1 is a flowchart illustrating a method of generating a test program according to an exemplary embodiment of the present invention.
- FIG. 2 is a view schematically showing an inspection apparatus according to an embodiment of the present invention.
- 3 is a plan view showing a bare substrate.
- FIG. 4 is a plan view showing a lead-coated substrate.
- FIG. 5 is a flowchart illustrating a process of generating a test program using first image information and second image information.
- FIG. 6 is a diagram illustrating an example of calculating a difference between first image information of a bare substrate and second image information of a lead coated substrate.
- first and second may be used to describe various components, but the components should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another.
- the first component may be referred to as the second component, and similarly, the second component may also be referred to as the first component.
- FIG. 1 is a flowchart illustrating a method of generating an inspection program according to an embodiment of the present invention
- FIG. 2 is a view schematically showing an inspection apparatus according to an embodiment of the present invention
- the SPI inspection apparatus 300 uses the two-dimensional illumination 310 and / or the three-dimensional illumination 320 to perform the bare substrate 100.
- the first image information including two-dimensional image information and / or three-dimensional image information for the) is obtained through the camera 330.
- the bare substrate 100 is a substrate before lead is applied, as shown in FIG. 3, and is formed with a pad region 110 to which lead is actually applied, holes 120 and silk 130 where lead is not applied, and the like.
- the two-dimensional illumination 310 refers to illumination for acquiring two-dimensional image information such as a planar image for initial alignment of an inspection substrate or inspection region setting.
- the two-dimensional illumination 310 may be formed in a circular ring shape, and may include a fluorescent lamp or a light emitting diode.
- the two-dimensional illumination 310 is disposed adjacent to the inspection substrate as shown in Figure 2, apart from, a separate illumination disposed adjacent to the camera 330 may be further formed.
- the three-dimensional illumination 320 refers to illumination for acquiring three-dimensional image information such as height information and visibility information in order to measure the three-dimensional shape of the test substrate.
- the three-dimensional illumination 320 includes a light source 322 and a grating element 324 for converting light from the light source 322 into phase shifted light and tilted at an angle with respect to the inspection substrate. Supply light.
- the grating element 324 may be transferred n times by 2 ⁇ / n through a grating transfer device such as a piezo actuator (PZT) to generate three-dimensional light that is phase shifted.
- N is a natural number of 2 or more.
- the three-dimensional illumination 320 may be formed in plurality so as to be spaced apart at a predetermined angle with respect to the camera 330 to increase the inspection accuracy.
- the SPI inspection apparatus 300 shown in FIG. 2 is merely an example, and various kinds of SPI inspection apparatuses including two-dimensional illumination and three-dimensional illumination may be used.
- the SPI inspection apparatus 300 obtains second image information about the lead-applied substrate 200 separately from acquiring the first image information about the bare substrate 100.
- the SPI inspection apparatus 300 uses the two-dimensional illumination 310 and / or the three-dimensional illumination 320.
- the second image information including the 2D image information and / or the 3D image information of the substrate 200 is obtained through the camera 330.
- the lead-applied substrate 200 refers to a substrate on which lead 210 is applied to the pad region 110 of the bare substrate 100.
- the SPI inspection apparatus 300 generates an inspection program using the first image information acquired through the scan of the bare substrate 100 and the second image information obtained through the scan of the lead-applied substrate 200. do.
- FIG. 5 is a flowchart illustrating a process of generating a test program using first image information and second image information.
- the SPI inspection apparatus 300 calculates a difference between the first image information and the second image information acquired through the camera 330 (S32), and positions and sizes of regions in which the difference occurs. After extracting (S34), a test program is generated through the extracted information (S36).
- the method for calculating the difference between the first image information and the second image information may be performed through various methods.
- the two-dimensional image information of the bare substrate 100 included in the first image information and the two-dimensional image information of the lead-applied substrate 200 included in the second image information are compared with the bare substrate 100.
- the difference between the lead coated substrates 200 can be calculated.
- the difference between the two-dimensional image information may be obtained by calculating the relative gray level difference between the bare substrate 100 and the lead-applied substrate 200.
- the 3D image information of the bare substrate 100 included in the first image information and the 3D image information of the lead-applied substrate 200 included in the second image information may be compared with the bare substrate 100.
- the difference between the lead coated substrates 200 can be calculated.
- the difference of the 3D image information may be obtained by calculating a relative height difference between the bare substrate 100 and the lead coated substrate 200.
- a two-dimensional image of the height value of the three-dimensional image information of the bare substrate 100 included in the first image information and the three-dimensional image of the lead-applied substrate 200 included in the second image information The difference between the bare substrate 100 and the lead-applied substrate 200 may be calculated by comparing the two-dimensional image of the height value of the information.
- FIG. 6 is a diagram illustrating an example of calculating a difference between first image information of a bare substrate and second image information of a lead coated substrate.
- first height information of the pad region 110 may be obtained as shown in (a).
- the SPI inspection apparatus 300 generates an inspection program in which an inspection region of the lead-applied substrate 200 is set by using information such as the position and size of the region where the lead 210 is coated.
- the position and size information of the lead coating area extracted by the SPI inspection apparatus 300 in the same manner as described above is transmitted to the component mounting apparatus for component mounting, it can also be used as coordinates for component mounting.
- the lead-coated region by analyzing various data obtained through scanning of bare substrates 100 and lead-applied substrates 200 of various samples, it is possible to verify extraction reliability of the lead-coated region. That is, after obtaining a plurality of first image information from a plurality of bare substrates 100, obtaining a plurality of second image information from a plurality of lead-applied substrates 200, and then standard deviation of the first image information. Alternatively, the average value and the standard deviation or average value of the second image information may be compared and analyzed to generate data of a lead-coated region with improved reliability, thereby generating a reliable inspection program.
- the bare substrate 100 and the lead-applied substrate 200 are inspected, respectively, and the exact position and size of the lead-coated area are extracted by analyzing the difference between the two-dimensional image information or the three-dimensional image information obtained therefrom. By doing so, it is possible to create an accurate inspection program without a gerber file, and to increase productivity and reduce inspection program creation time by reducing false negatives.
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- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Microelectronics & Electronic Packaging (AREA)
- Theoretical Computer Science (AREA)
- Operations Research (AREA)
- Manufacturing & Machinery (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Quality & Reliability (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
- Length Measuring Devices By Optical Means (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
- Electric Connection Of Electric Components To Printed Circuits (AREA)
- Supply And Installment Of Electrical Components (AREA)
Abstract
Description
Claims (9)
- 베어 기판을 스캔하여 제1 영상정보를 획득하는 단계;베어 기판의 패드 영역에 납이 도포된 납도포 기판을 스캔하여 제2 영상정보를 획득하는 단계; 및상기 제1 영상정보와 상기 제2 영상정보를 분석하여 검사 프로그램을 생성하는 단계를 포함하는 검사 프로그램의 생성 방법.
- 제1항에 있어서,상기 제1 영상정보 및 상기 제2 영상정보는 각각 2차원 영상정보 및 3차원 영상정보 중 적어도 하나를 포함하는 것을 특징으로 하는 검사 프로그램의 생성 방법.
- 제2항에 있어서, 상기 검사 프로그램을 생성하는 단계는,상기 제1 영상정보와 상기 제2 영상정보의 차이를 계산하는 단계;차이가 생긴 영역에 대한 위치 및 크기를 추출하는 단계; 및추출된 정보를 통해 검사 프로그램을 생성하는 단계를 포함하는 것을 특징으로 하는 검사 프로그램의 생성 방법.
- 제3항에 있어서, 상기 제1 영상정보와 상기 제2 영상정보의 차이를 계산하는 단계는,상기 제1 영상정보에 포함된 2차원 영상정보와 상기 제2 영상정보에 포함된 2차원 영상정보의 차이를 계산하는 것을 특징으로 하는 검사 프로그램의 생성 방법.
- 제4항에 있어서,상기 2차원 영상정보의 차이는 상대적 계조 차이인 것을 특징으로 하는 검사 프로그램의 생성 방법.
- 제3항에 있어서, 상기 제1 영상정보와 상기 제2 영상정보의 차이를 계산하는 단계는,상기 제1 영상정보에 포함된 3차원 영상정보와 상기 제2 영상정보에 포함된 3차원 영상정보의 차이를 계산하는 것을 특징으로 하는 검사 프로그램의 생성 방법.
- 제6항에 있어서,상기 3차원 영상정보의 차이는 상대적 높이 차이인 것을 특징으로 하는 검사 프로그램의 생성 방법.
- 제3항에 있어서, 상기 제1 영상정보와 상기 제2 영상정보의 차이를 계산하는 단계는,상기 제1 영상정보에 포함된 3차원 영상정보의 높이값을 2차원 영상화한 영상과 상기 제2 영상정보에 포함된 3차원 영상정보의 높이값을 2차원 영상화한 영상간의 차이를 계산하는 것을 특징으로 하는 검사 프로그램의 생성 방법.
- 제1항에 있어서,복수의 상기 베어 기판들로부터 복수의 상기 제1 영상정보들을 획득하고, 복수의 상기 납도포 기판들로부터 복수의 상기 제2 영상정보들을 획득한 후, 상기 제1 영상정보들의 표준편차 또는 평균값과 상기 제2 영상정보들의 표준편차 또는 평균값을 이용하여 상기 검사 프로그램을 생성하는 것을 특징으로 하는 검사 프로그램의 생성 방법.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2011800081376A CN102742380A (zh) | 2010-02-02 | 2011-02-01 | 检测程序的生成方法 |
US13/576,829 US20130039563A1 (en) | 2010-02-02 | 2011-02-01 | Method of generating inspection program |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR10-2010-0009365 | 2010-02-02 | ||
KR1020100009365A KR101121994B1 (ko) | 2010-02-02 | 2010-02-02 | 검사 프로그램의 생성 방법 |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2011096695A2 true WO2011096695A2 (ko) | 2011-08-11 |
WO2011096695A3 WO2011096695A3 (ko) | 2011-12-01 |
Family
ID=44355940
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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PCT/KR2011/000683 WO2011096695A2 (ko) | 2010-02-02 | 2011-02-01 | 검사 프로그램의 생성 방법 |
Country Status (4)
Country | Link |
---|---|
US (1) | US20130039563A1 (ko) |
KR (1) | KR101121994B1 (ko) |
CN (1) | CN102742380A (ko) |
WO (1) | WO2011096695A2 (ko) |
Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10716220B2 (en) | 2014-08-04 | 2020-07-14 | Ok International, Inc. | Variable temperature controlled soldering iron |
US9516762B2 (en) * | 2014-08-04 | 2016-12-06 | Ok International Inc. | Soldering iron with automatic soldering connection validation |
US10688578B2 (en) | 2014-08-04 | 2020-06-23 | OK International, Inc | Variable temperature controlled soldering iron |
KR20160019564A (ko) * | 2014-08-11 | 2016-02-22 | 주식회사 고영테크놀러지 | 검사 장치 및 방법과, 이를 포함하는 부품 실장 시스템 및 방법 |
CA2915654C (en) * | 2015-07-08 | 2018-05-01 | Delaware Capital Formation, Inc. | An intelligent soldering cartridge for automatic soldering connection validation |
CN106546597A (zh) * | 2015-09-22 | 2017-03-29 | 泰科电子(上海)有限公司 | 焊接质量检测系统和方法 |
JP6225222B1 (ja) * | 2016-06-14 | 2017-11-01 | Ckd株式会社 | 半田印刷検査装置 |
CN113866171B (zh) * | 2021-12-02 | 2022-03-18 | 武汉飞恩微电子有限公司 | 电路板点胶检测方法、设备及计算机可读存储介质 |
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US6317972B1 (en) * | 1998-05-19 | 2001-11-20 | Fuji Machine Mfg. Co., Ltd. | Method for mounting and inspecting the mounting of electric components |
KR20050055883A (ko) * | 2003-12-09 | 2005-06-14 | 삼성코닝정밀유리 주식회사 | 유리기판의 검사장치 및 검사방법 |
KR20070115274A (ko) * | 2006-06-01 | 2007-12-06 | 삼성전자주식회사 | 어셈블리 기판의 검사장치 및 표시패널의 제조방법 |
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JPS62229017A (ja) * | 1986-03-31 | 1987-10-07 | Toshiba Corp | 検査装置 |
US6298149B1 (en) * | 1996-03-21 | 2001-10-02 | Cognex Corporation | Semiconductor device image inspection with contrast enhancement |
US5912984A (en) * | 1996-12-19 | 1999-06-15 | Cognex Corporation | Method and apparatus for in-line solder paste inspection |
US6721461B1 (en) * | 1997-11-24 | 2004-04-13 | Cognex Technology And Investment Corporation | Method and apparatus using image subtraction and dynamic thresholding |
SG121898A1 (en) * | 2004-10-06 | 2006-05-26 | Generic Power Pte Ltd | System for 2-D and 3-D vision inspection |
JP4563205B2 (ja) * | 2005-02-08 | 2010-10-13 | 富士機械製造株式会社 | 実装された電子部品の検査方法及び装置 |
WO2008124397A1 (en) * | 2007-04-03 | 2008-10-16 | David Fishbaine | Inspection system and method |
KR101525251B1 (ko) * | 2008-12-29 | 2015-06-03 | 주식회사 동부하이텍 | 노이즈 필터 |
-
2010
- 2010-02-02 KR KR1020100009365A patent/KR101121994B1/ko active IP Right Grant
-
2011
- 2011-02-01 US US13/576,829 patent/US20130039563A1/en not_active Abandoned
- 2011-02-01 WO PCT/KR2011/000683 patent/WO2011096695A2/ko active Application Filing
- 2011-02-01 CN CN2011800081376A patent/CN102742380A/zh active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
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US6317972B1 (en) * | 1998-05-19 | 2001-11-20 | Fuji Machine Mfg. Co., Ltd. | Method for mounting and inspecting the mounting of electric components |
KR20050055883A (ko) * | 2003-12-09 | 2005-06-14 | 삼성코닝정밀유리 주식회사 | 유리기판의 검사장치 및 검사방법 |
KR20070115274A (ko) * | 2006-06-01 | 2007-12-06 | 삼성전자주식회사 | 어셈블리 기판의 검사장치 및 표시패널의 제조방법 |
Also Published As
Publication number | Publication date |
---|---|
KR20110089897A (ko) | 2011-08-10 |
KR101121994B1 (ko) | 2012-03-09 |
CN102742380A (zh) | 2012-10-17 |
US20130039563A1 (en) | 2013-02-14 |
WO2011096695A3 (ko) | 2011-12-01 |
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