[go: up one dir, main page]

CN105242197A - AOI (Automatic Optic Inspection) scanning defect inspection processing method - Google Patents

AOI (Automatic Optic Inspection) scanning defect inspection processing method Download PDF

Info

Publication number
CN105242197A
CN105242197A CN201510570937.7A CN201510570937A CN105242197A CN 105242197 A CN105242197 A CN 105242197A CN 201510570937 A CN201510570937 A CN 201510570937A CN 105242197 A CN105242197 A CN 105242197A
Authority
CN
China
Prior art keywords
aoi
ccd camera
critical value
grey scale
processing method
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
Application number
CN201510570937.7A
Other languages
Chinese (zh)
Inventor
张智海
易永祥
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Weisheng Suzhou Visual Information Science And Technology Ltd
Original Assignee
Weisheng Suzhou Visual Information Science And Technology Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Weisheng Suzhou Visual Information Science And Technology Ltd filed Critical Weisheng Suzhou Visual Information Science And Technology Ltd
Priority to CN201510570937.7A priority Critical patent/CN105242197A/en
Publication of CN105242197A publication Critical patent/CN105242197A/en
Pending legal-status Critical Current

Links

Landscapes

  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The invention relates to an AOI (Automatic Optic Inspection) scanning defect inspection processing method. the method comprises the following steps: 1, AOI equipment is provided with a CCD camera, and an inspected circuit board is scanned via the CCD camera; 2, the CCD converts an actual scanned image into digital signals; 3, the digital signals are compared with data in the system to build a restored image; 4, a multi-grayscale threshold is adopted to convert the restored image into multiple black-white images with different grayscales; and 5, binarization processing is carried out on the black-white images. The multi-grayscale threshold is adopted to convert the image into multiple corresponding black-white images under different grayscale thresholds, the method can be applied to inspection of multiple defects, miss defect inspection is reduced, and the defect inspection ability is improved.

Description

AOI scans defects detection disposal route
Technical field
The present invention relates to a kind of printed-wiring board (PWB) AOI detection technique field, particularly relate to a kind of wiring board defect inspection method.
Background technology
The full name of AOI (AutomaticOpticInspection) is automatic optics inspection, is the equipment detected the common deficiency run in welding production based on optical principle.AOI is new one of rising novelmeasuring technology, but development is rapidly, and a lot of producer is all proposed AOI testing apparatus.Upon automatic detection, machine, by camera autoscan PCB, gathers image, test solder joint and database in qualified parameter compare, through image procossing, check out defect on PCB, and by display or Automatic Logos Flaw display/mark, repair for maintenance personal.
At present, the figure that AOI equipment photographs can change into black white image according to grey scale critical value and carry out defect comparison.Although grey scale critical value sets according to design parameter, but dissimilar defect and its brightness of short circuit embodiment are different, thus cause it in black and white figureon embodiment be different, the latter occur without embody situation, unavoidable appearance does not detect the situation of short circuit or defect.
Because above-mentioned defect, the design people, actively in addition research and innovation, to founding one aOI scans defects detection disposal routeto improve fault detection ability, it is made to have more value in industry.
Summary of the invention
For solving the problems of the technologies described above, the object of this invention is to provide one aOI scans defects detection disposal routeto improve fault detection ability.
Of the present invention aOI scans defects detection disposal route, carry out according to following step:
One, AOI equipment has CCD camera, is scanned detected wiring board by CCD camera;
Two, the real image scanned is converted into digital signal by CCD;
Three, set up according to comparing in digital signal and system and go back original image;
Four, multiple grey scale critical value is adopted to go back original image and be converted into the black and white of multiple different GTGs figure;
Five, to black and white figurecarry out binary conversion treatment.
Further, described multiple grey scale critical value can be traversal 0-255, transforms the black and white obtaining 256 different brightness degrees figure.
Further, described multiple grey scale critical value is preferably triple grey scale critical value, is that grey scale critical value equals 35,45 and 60 respectively, transforms the black and white obtaining three different brightness degrees figure.
Further, a kind of scan mode in spot scan mode, line sweep mode and Surface scan mode is adopted when described CCD camera scans detected wiring board.
Further, the light source of AOI equipment adopts power to be 250W and voltage is Halogen lamp LED for 24V.
Further, described CCD camera is black-white CCD camera or colored CCD camera.
By such scheme, the present invention at least has the following advantages: the present invention adopts multiple grey scale critical value, is the multiple black and white under corresponding multiple different grey scale critical value by graphics figure, to adapt to the inspection of number of drawbacks, thus reduce the undetected of defect, improve Flaw detectability.
Above-mentioned explanation is only this inventionthe general introduction of technical scheme, in order to better understand technological means of the present invention, and can be implemented according to the content of instructions, be described in detail below with preferred embodiment of the present invention.
Embodiment
Below in conjunction with embodiment, the specific embodiment of the present invention is described in further detail.Following examples for illustration of the present invention, but are not used for limiting the scope of the invention.
A kind of aOI scans defects detection disposal route, carry out according to following step:
One, AOI equipment has CCD camera, is scanned detected wiring board by CCD camera;
Two, the real image scanned is converted into digital signal by CCD;
Three, set up according to comparing in digital signal and system and go back original image;
Four, multiple grey scale critical value is adopted to go back original image and be converted into the black and white of multiple different GTGs figure;
Five, to black and white figurecarry out binary conversion treatment.
Described multiple grey scale critical value is triple grey scale critical value, is that grey scale critical value equals 35,45 and 60 respectively, transforms the black and white obtaining three different brightness degrees figure.
A kind of scan mode in spot scan mode, line sweep mode and Surface scan mode is adopted when described CCD camera scans detected wiring board.
The light source of AOI equipment adopts power to be 250W and voltage is Halogen lamp LED for 24V.
Described CCD camera is black-white CCD camera or colored CCD camera.
The above is only the preferred embodiment of the present invention; be not limited to the present invention; should be understood that; for those skilled in the art; under the prerequisite not departing from the technology of the present invention principle; can also make some improvement and modification, these improve and modification also should be considered as protection scope of the present invention.

Claims (7)

1. AOI scans a defects detection disposal route, it is characterized in that: carry out according to following step:
One, AOI equipment has CCD camera, is scanned detected wiring board by CCD camera;
Two, the real image scanned is converted into digital signal by CCD;
Three, set up according to comparing in digital signal and system and go back original image;
Four, multiple grey scale critical value is adopted to go back original image and be converted into the artwork master of multiple different GTGs;
Five, binary conversion treatment is carried out to artwork master.
2. AOI according to claim 1 scans defects detection disposal route, it is characterized in that: described multiple grey scale critical value traversal 0-255, transforms the artwork master obtaining 256 different brightness degrees.
3. AOI according to claim 1 scans defects detection disposal route, and it is characterized in that: described multiple grey scale critical value is triple grey scale critical value, is that grey scale critical value equals 35,45 and 60 respectively, transforms the artwork master obtaining three different brightness degrees.
4. AOI image scan check processing method according to claim 1, is characterized in that: adopt a kind of scan mode in spot scan mode, line sweep mode and Surface scan mode when described CCD camera scans detected wiring board.
5. AOI image scan check processing method according to claim 1, is characterized in that: the light source of AOI equipment adopts power to be 250W and voltage is Halogen lamp LED for 24V.
6. AOI image scan check processing method according to claim 1, is characterized in that: described CCD camera is black-white CCD camera.
7. AOI image scan check processing method according to claim 1, is characterized in that: described CCD camera is colored CCD camera.
CN201510570937.7A 2015-09-09 2015-09-09 AOI (Automatic Optic Inspection) scanning defect inspection processing method Pending CN105242197A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510570937.7A CN105242197A (en) 2015-09-09 2015-09-09 AOI (Automatic Optic Inspection) scanning defect inspection processing method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510570937.7A CN105242197A (en) 2015-09-09 2015-09-09 AOI (Automatic Optic Inspection) scanning defect inspection processing method

Publications (1)

Publication Number Publication Date
CN105242197A true CN105242197A (en) 2016-01-13

Family

ID=55039908

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510570937.7A Pending CN105242197A (en) 2015-09-09 2015-09-09 AOI (Automatic Optic Inspection) scanning defect inspection processing method

Country Status (1)

Country Link
CN (1) CN105242197A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109870467A (en) * 2019-02-01 2019-06-11 奥士康精密电路(惠州)有限公司 A kind of horizontal preceding binding dust optimization method of AOI scanning
CN112579540A (en) * 2020-11-03 2021-03-30 珠海越亚半导体股份有限公司 Component mounting position identification method, mounting control method, device and medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000048012A1 (en) * 1999-02-11 2000-08-17 Original Solutions Inc. Method for the verification of the polarity, presence, alignment of components and short circuits on a printed circuit board
CN1504742A (en) * 2002-11-28 2004-06-16 威光机械工程股份有限公司 Automatic optical detection system for defective components on printed circuit board
CN101477063A (en) * 2009-01-22 2009-07-08 北京星河泰视特科技有限公司 Detection method and optical detection instrument for printed circuit board
CN201662537U (en) * 2009-12-21 2010-12-01 天津市华核科技有限公司 Open visual detection device
CN102495064A (en) * 2011-11-17 2012-06-13 深圳市锦亿宝森科技有限公司 Touch screen screen-printed circuit automatic optic inspection system
CN104655643A (en) * 2015-02-12 2015-05-27 天津理工大学 Quality detection system for surface welding process of electronic devices

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000048012A1 (en) * 1999-02-11 2000-08-17 Original Solutions Inc. Method for the verification of the polarity, presence, alignment of components and short circuits on a printed circuit board
CN1504742A (en) * 2002-11-28 2004-06-16 威光机械工程股份有限公司 Automatic optical detection system for defective components on printed circuit board
CN101477063A (en) * 2009-01-22 2009-07-08 北京星河泰视特科技有限公司 Detection method and optical detection instrument for printed circuit board
CN201662537U (en) * 2009-12-21 2010-12-01 天津市华核科技有限公司 Open visual detection device
CN102495064A (en) * 2011-11-17 2012-06-13 深圳市锦亿宝森科技有限公司 Touch screen screen-printed circuit automatic optic inspection system
CN104655643A (en) * 2015-02-12 2015-05-27 天津理工大学 Quality detection system for surface welding process of electronic devices

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109870467A (en) * 2019-02-01 2019-06-11 奥士康精密电路(惠州)有限公司 A kind of horizontal preceding binding dust optimization method of AOI scanning
CN112579540A (en) * 2020-11-03 2021-03-30 珠海越亚半导体股份有限公司 Component mounting position identification method, mounting control method, device and medium

Similar Documents

Publication Publication Date Title
JP4707605B2 (en) Image inspection method and image inspection apparatus using the method
JP5342987B2 (en) Concrete surface inspection equipment
JP2019144209A (en) Appearance inspection device and method for setting illumination condition for appearance inspection device
CN106093073B (en) Base board defect location positioning method and device and system
JP6121253B2 (en) Work surface defect inspection system
CN108990299A (en) A kind of laser amendment pcb board defect method based on image detection
CN110412055A (en) A lens white fog defect detection method based on multi-light source dark field illumination
CN115100166A (en) Welding spot defect detection method and device
CN105069770A (en) AOI image scanning detection processing method
CN105242197A (en) AOI (Automatic Optic Inspection) scanning defect inspection processing method
CN105203548A (en) Control system of AOI (automatic optic inspection) detection device
KR102632169B1 (en) Apparatus and method for inspecting glass substrate
JP2009264876A (en) Inspection system of product quality, and its method
CN109632810A (en) Display panel crack detecting method and system
JP6628185B2 (en) Inspection method for transparent objects
JP4015436B2 (en) Gold plating defect inspection system
CN105203549A (en) Circuit board AOI (automated optical inspection) detection method
CN105120260A (en) Color cast calibration method of AOI equipment with colored CCD
JP2710527B2 (en) Inspection equipment for periodic patterns
JP2015210226A (en) Visual inspection device and visual inspection method
JP2011047698A (en) Visual inspection apparatus
JP2011047697A (en) Visual inspection device
CN105115980A (en) Missing-solder AOI solder paste detection method
JP2011196827A (en) Apparatus and method for defect inspection, and pattern substrate manufacturing method
KR20090121612A (en) Corrugated cardboard quality inspection automatic inspection method and device

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20160113