CN101393880A - Method for picture-in-picture observation and automatically wafer quality determination - Google Patents

Method for picture-in-picture observation and automatically wafer quality determination Download PDF

Info

Publication number
CN101393880A
CN101393880A CNA2008101073108A CN200810107310A CN101393880A CN 101393880 A CN101393880 A CN 101393880A CN A2008101073108 A CNA2008101073108 A CN A2008101073108A CN 200810107310 A CN200810107310 A CN 200810107310A CN 101393880 A CN101393880 A CN 101393880A
Authority
CN
China
Prior art keywords
picture
image
die bond
solid
brilliant
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.)
Granted
Application number
CNA2008101073108A
Other languages
Chinese (zh)
Other versions
CN101393880B (en
Inventor
龚剑辉
周彤
王建平
林晓阳
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.)
NANCHANG HUIXIANG SELF CONTROL TECHNOLOGY Co Ltd
Original Assignee
NANCHANG HUIXIANG SELF CONTROL TECHNOLOGY Co 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 NANCHANG HUIXIANG SELF CONTROL TECHNOLOGY Co Ltd filed Critical NANCHANG HUIXIANG SELF CONTROL TECHNOLOGY Co Ltd
Priority to CN2008101073108A priority Critical patent/CN101393880B/en
Publication of CN101393880A publication Critical patent/CN101393880A/en
Application granted granted Critical
Publication of CN101393880B publication Critical patent/CN101393880B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Die Bonding (AREA)

Abstract

The invention relates to a method for achieving picture-in-picture observation and automatically determining the quality of a die bond, and the method can be achieved through a system consisting of combining pick-up cameras, a monocular microscope, an image acquisition card, an industrial computer and corresponding control software. The method comprises the following steps: the two pick-up cameras of the system are used for interpreting the image of die bond position on a clamping device side and that of a wafer on the wafer side, which are amplified by the microscope, into electrical signals, and then transferring the electrical signals to the image acquisition card respectively; and the control software is utilized for integrating the two separately-gathered images into one image in order of priority which later appears on a display screen in the form of a picture-in-picture. The method further includes a method for automatically determining the quality of the die bond.

Description

The method of a kind of picture-in-picture observation and automatic decision die bond quality
Technical field
The present invention relates to COB, LED encapsulation automatic field, for a kind of method of picture-in-picture observation and automatic decision die bond quality on the die bond machine.
Background technology
Die bond machine (also claiming the chip mount machine) is one of the key of LED device package and Core equipment, because wafer is too little, cleanliness factor requires high, thus wafer get brilliant and die bond, to be stained with glue and to put glue all be to finish at automaticity height, fireballing die bond machine.In order to guarantee solid crystalloid amount, different solid brilliant machines has different observations and judges solid brilliant method for quality, common more employing be observation as shown in Figure 2 and the system block diagram of judging solid crystalloid metering method.Known method is to use 2 monitors when observing the die bond quality, and wherein monitor 1 is by the image of the demonstration wafer sides such as capture card; Monitor 2 directly monitors the die bond position on the anchor clamps, do not need to control software control, but directly the analog quantity of CCD output is directly received on the monitor, show in real time the image of CCD, there are two shortcomings in this method: the one, and the user need monitor 2 monitors, and is cumbersome; The one, the time is very short when monitoring the die bond position, it is not by relevant devices such as capture cards, the anchor clamps under the real time monitoring camera lens, anchor clamps most of the time except die bond, some glue is all being moved (need move to next die bond position or some glue position) during automatic die bond, so the user can see the time of die bond quality very short (only having a few tens of milliseconds), the image time of demonstration is short and unintelligible.
For solving the deficiency of existing solid brilliant machine on observation and the solid crystalloid metering method of judgement, the present invention proposes a new technical scheme.
Summary of the invention
Hardware system of the present invention is made up of 2 video cameras, 2 monocular tube microscopes, image pick-up card, industrial computer and control corresponding softwares.The wafer of the wafer side that the CCD photo-sensitive cell in 2 video cameras amplifies microscope, the die bond position of chuck side convert the signal of telecommunication to and pass to image pick-up card by 75 Europe coaxial cables.During work when having consolidated current die bond point, system moves to next die bond point immediately, but etc. nation's head move to again next die bond point after removing the image of the current die bond point of rear collection and passing to image pick-up card, another CCD gathers the image of wafer side and passes to capture card simultaneously, control software is integrated into piece image with the image that two-way collects by primary and secondary, be presented on the display screen with picture-in-picture, user this moment can be seen clearly by the screen of a display die bond quality of image and wafer image and current die bond point after the die bond, when defective products occurring, can quit work timely, improve the quality of consumer products.Wherein the primary and secondary user of picture-in-picture can be in the die bond process be switched at any time, and user friendly observation needs, and two paths of signals gathers simultaneously, has improved the response speed of system.
Judgement for the die bond quality, whether the present invention has increased an automatic decision die bond point in control software be the function of non-defective unit, namely the die bond bit image is transferred to Computer Processing, use template matching method, with non-defective unit as the coupling target, and with non-defective unit relatively, determine whether this die bond point is non-defective unit, if not non-defective unit (belong to and leak crystalline substance, broken grain, inclination etc.), the prompting user that then reports an error is processed.This method is that whether automatic decision die bond point is non-defective unit by software identification, and this method is compared with the method for traditional use manual detection, has not only improved the degree of accuracy, and has saved manpower.
Description of drawings
Fig. 1 is the system block diagram of the method for picture-in-picture observation of the present invention and automatic decision die bond quality.
Fig. 2 is known observation and the system block diagram of judging solid brilliant method for quality.
Fig. 3 is the design sketch of picture-in-picture observation of the present invention and automatic decision die bond quality.
Embodiment
The invention process system is by video camera, microscope, image collection card, and industrial computer and corresponding software are formed.Fig. 1 is the system block diagram of the method for picture-in-picture observation of the present invention and automatic decision die bond quality.
Place CCD photo-sensitive cell in 2 video cameras of wafer side and die bond position fixture side to convert the die bond position of the wafer of the wafer side of microscopical amplification, chuck side to the signal of telecommunication and pass to image pick-up card by 75 Europe coaxial cables.After handling, image collection card DSP sends host computer to.PC control software is removed noise of equipment, ambient noises etc. such as CCD at first to the image preliminary treatment, extracts enough characteristic points according to the character of image.
During the work of die bond machine, when admittedly complete current die bond point, system moves to next die bond point immediately, but etc. nation's head move to again next die bond point after removing the image of the current die bond point of rear collection and passing to image pick-up card, another CCD gathers the image of wafer side and passes to capture card simultaneously, control software is integrated into piece image with the image that two-way collects by primary and secondary, be presented on the display screen with picture-in-picture, user this moment can be seen clearly by the screen of a display die bond quality of image and wafer image and current die bond point after the die bond.When defective products occurring, can quit work timely, improve the quality of consumer products.Wherein the primary and secondary user of picture-in-picture can be in the die bond process be switched at any time, and user friendly observation needs, and two paths of signals gathers simultaneously, has improved the response speed of system.
Be provided with the function of an automatic decision die bond quality in the control software of described system, namely the image of die bond position is transferred to Computer Processing, use template matching method, with non-defective unit as the coupling target, and with non-defective unit relatively, determine that whether this die bond put non-defective unit, if not non-defective unit (belong to and leak crystalline substance, broken grain, inclination etc.), the prompting that then reports an error is processed by the user.
Owing to adopted this method, greatly alleviated the degree of fatigue that the user monitors screen, improved die bond quality and production efficiency.

Claims (4)

1, a kind of picture-in-picture is observed and the solid brilliant method for quality of automatic judgement, it passes through by video camera, monocular tube microscope, image pick-up card, the system that industrial computer and control corresponding software are formed realizes, it is characterized in that, CCD photo-sensitive cell in 2 video cameras of described system is first with the crystalline substance of brilliant first side that microscope amplifies, the solid brilliant bit image of chuck side converts the signal of telecommunication to and passes to image pick-up card respectively, by Control Software the image that two-way collects is integrated into piece image by primary and secondary, be presented on the display screen with picture-in-picture, and use the template matches technology to judge solid crystalloid amount automatically.
2, method according to claim 1 is characterized in that, the primary and secondary user of picture-in-picture can be in the die bond process be switched at any time, and user friendly observation needs, and two paths of signals gathers simultaneously, has improved the response speed of system.
3, method according to claim 1, it is characterized in that, when intact current admittedly solid crystalline substance is put, system moves to next solid brilliant point immediately, but etc. nation's head remove and move to next solid brilliant point after the back is gathered the image of current solid brilliant point and passed to image pick-up card again, another CCD gathers the image of brilliant first side and passes to capture card simultaneously.
4, method according to claim 1, it is characterized in that, be provided with a function of judging solid crystalloid amount automatically in the Control Software, promptly the image of solid brilliant position transferred to Computer Processing, use template matching method, with non-defective unit as the coupling target, and with non-defective unit relatively, whether determine should solid crystalline substance to put non-defective unit, if not non-defective unit (belong to and leak crystalline substance, broken grain, inclination etc.), the prompting that then reports an error is handled by the user.
CN2008101073108A 2008-10-29 2008-10-29 Method for picture-in-picture observation and automatically wafer quality determination Expired - Fee Related CN101393880B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2008101073108A CN101393880B (en) 2008-10-29 2008-10-29 Method for picture-in-picture observation and automatically wafer quality determination

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2008101073108A CN101393880B (en) 2008-10-29 2008-10-29 Method for picture-in-picture observation and automatically wafer quality determination

Publications (2)

Publication Number Publication Date
CN101393880A true CN101393880A (en) 2009-03-25
CN101393880B CN101393880B (en) 2010-06-02

Family

ID=40494098

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2008101073108A Expired - Fee Related CN101393880B (en) 2008-10-29 2008-10-29 Method for picture-in-picture observation and automatically wafer quality determination

Country Status (1)

Country Link
CN (1) CN101393880B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102142391A (en) * 2010-12-24 2011-08-03 深圳市大族光电设备有限公司 Crystal taking manipulator of solid crystal processing machine
CN103003681A (en) * 2010-05-06 2013-03-27 克拉-坦科股份有限公司 Determination of material optical properties for optical metrology of structures
CN103177984A (en) * 2013-03-22 2013-06-26 常熟艾科瑞思封装自动化设备有限公司 Vision monitoring method for full encapsulation process

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000030652A (en) * 1998-07-10 2000-01-28 Hitachi Ltd Observation of sample and device thereof

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103003681A (en) * 2010-05-06 2013-03-27 克拉-坦科股份有限公司 Determination of material optical properties for optical metrology of structures
CN102142391A (en) * 2010-12-24 2011-08-03 深圳市大族光电设备有限公司 Crystal taking manipulator of solid crystal processing machine
CN102142391B (en) * 2010-12-24 2012-05-30 深圳市大族光电设备有限公司 Crystal taking manipulator of solid crystal processing machine
CN103177984A (en) * 2013-03-22 2013-06-26 常熟艾科瑞思封装自动化设备有限公司 Vision monitoring method for full encapsulation process
CN103177984B (en) * 2013-03-22 2015-12-02 江苏艾科瑞思封装自动化设备有限公司 Encapsulation overall process vision monitoring method

Also Published As

Publication number Publication date
CN101393880B (en) 2010-06-02

Similar Documents

Publication Publication Date Title
CN101136346A (en) Chip welding spot on-line detecting, defect identification device and chip packaging device
CN101393880B (en) Method for picture-in-picture observation and automatically wafer quality determination
CN207503914U (en) A kind of wafer defect of view-based access control model identification detects, selects integrated apparatus automatically
CN111079831A (en) Intelligent optical detection sample characteristic and flaw automatic marking method and device
CN107024478A (en) A kind of part processes automatic defect identifying system
US10712262B1 (en) Rare earth solution image capture device and method
CN104132945A (en) On-line surface quality visual inspection device for bar based on optical fiber conduction
CN109698139A (en) The real-time acquisition system of wafer defect optical photograph and acquisition method
CN105834119A (en) Automatic fruit grading device
CN2932440Y (en) Camera lens module testing clamp
CN2791639Y (en) Infrared device for detecting internal defect of semiconductor material
CN106327498A (en) Terminal shedding vision detection system and method
US20100166290A1 (en) Die defect inspecting system with a die defect inspecting function and a method of using the same
CN207937374U (en) A kind of pad solder defect detecting device
TW201627654A (en) Automatic optical inspection method and automatic optical inspection system implementing the same
CN218546515U (en) RFID chip quality detection device
CN108401151B (en) Online acquisition method for single event effect test image of complementary metal oxide semiconductor image sensor
CN204807713U (en) Integrated multiband laser scanner of portable hand -held type
CN101614676B (en) Method and detector for detecting defects of battery plate of solar energy photovoltaic subassembly
CN205927802U (en) Positive and negative detection device
CN201368854Y (en) Off-line quality testing device for value bills
CN204287061U (en) A kind of surface-mounted devices comprising multi-camera image capture system
CN210098294U (en) Automatic detection and classification device for capacitor materials
CN206161548U (en) Wafer quality detection device
CN111389743A (en) Rubber sealing ring detection device and detection method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
C17 Cessation of patent right
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20100602

Termination date: 20121029