CN208313802U - A kind of chip pin defect detecting system based on machine vision - Google Patents
A kind of chip pin defect detecting system based on machine vision Download PDFInfo
- Publication number
- CN208313802U CN208313802U CN201821063733.XU CN201821063733U CN208313802U CN 208313802 U CN208313802 U CN 208313802U CN 201821063733 U CN201821063733 U CN 201821063733U CN 208313802 U CN208313802 U CN 208313802U
- Authority
- CN
- China
- Prior art keywords
- chip
- primary processor
- light source
- arm primary
- system based
- 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.)
- Expired - Fee Related
Links
- 230000007547 defect Effects 0.000 title claims abstract description 18
- 239000000835 fiber Substances 0.000 claims abstract description 8
- 230000003287 optical effect Effects 0.000 claims abstract description 8
- 238000003384 imaging method Methods 0.000 claims abstract description 5
- 238000012360 testing method Methods 0.000 claims description 5
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 238000001514 detection method Methods 0.000 abstract description 12
- 238000011179 visual inspection Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 3
- 238000000034 method Methods 0.000 description 3
- 208000003464 asthenopia Diseases 0.000 description 1
- 238000007664 blowing Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
Landscapes
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The utility model discloses a kind of chip pin defect detecting system based on machine vision, including chip supply unit, camera, control unit, annular light source, light source controller and fibre optical sensor, the top of the chip supply unit is arranged in the camera, it includes imaging sensor, camera lens and FPGA image acquisition and processing device, the FPGA image acquisition and processing device is used to acquire the chip image of described image sensor shooting, described control unit includes ARM primary processor and DSP coprocessor, the DSP coprocessor is separately connected the FPGA image acquisition and processing device and ARM primary processor, the light source controller is separately connected the ARM primary processor and annular light source, the fibre optical sensor is used to detect the position of chip to be checked.The utility model can be realized the intelligence and automation of chip pin defects detection, save manpower, it is ensured that precision and efficiency of detecting.
Description
Technical field
The utility model relates to detection device technical field, in particular to a kind of chip pin defect based on machine vision
Detection system.
Background technique
In chip device production process, the appearance quality detection of chip is the essential link of one of them, meeting
Directly influence the performance and quality of chip.
The appearance quality detection of chip mainly includes the pin size of chip, incompleteness, partially bent, spacing is uneven, poor flatness
Etc. detection projects, main using Manual Visual Inspection by the way of at present, although Manual Visual Inspection is convenient direct, but there are the following problems:
1) Manual Visual Inspection mode can not achieve non-stop run for 24 hours, and worker's great work intensity easily causes visual fatigue, leads
Erroneous detection is caused, the reliability of product testing is directly reduced;
2) quality of requirements of Manual Visual Inspection is not easy to quantify, and causes testing result stability poor;
3) since chip size is smaller, it is limited to the recognition capability of human eye, the detection speed and precision of Manual Visual Inspection is lower,
So that detection efficiency is low.
Utility model content
The purpose of this utility model is to provide a kind of chip pin defect detecting system based on machine vision, can
The intelligence and automation for realizing chip pin defects detection, save manpower, it is ensured that precision and efficiency of detecting.
To achieve the above object, the utility model uses following technical scheme:
A kind of chip pin defect detecting system based on machine vision, including chip supply unit, camera, control list
The top of the chip supply unit is arranged in member, annular light source, light source controller and fibre optical sensor, the camera, packet
Imaging sensor, camera lens and FPGA image acquisition and processing device are included, the FPGA image acquisition and processing device is for acquiring described image
The chip image of sensor shooting, described control unit includes ARM primary processor and DSP coprocessor, the DSP coprocessor
It is separately connected the FPGA image acquisition and processing device and ARM primary processor, is used to be analyzed and processed chip image, it is described
Light source controller is separately connected the ARM primary processor and annular light source, and the fibre optical sensor is for detecting chip to be checked
Position, and will test signal and be sent to the ARM primary processor.
It further, further include device for eliminating, the device for eliminating is controlled by the ARM primary processor, for rejecting
There are the bad chips of pin defect.
It further, further include VGA signal conversion circuit and display, the VGA signal conversion circuit connects respectively
Connect DSP coprocessor and display.
It further, further include touch screen, hard disk and ethernet connector, the touch screen, hard disk and Ethernet
Connector is separately connected the ARM primary processor.
Preferably, the chip supply unit includes conveyer belt and driving device, the conveyer belt for carry, convey to
Chip is examined, and its movement is driven by the driving device, the driving device is controlled by the ARM primary processor.
After adopting the above technical scheme, the utility model compared with the background art, has the advantages that
The utility model can be realized the intelligence and automation of chip pin defects detection, save manpower, it is ensured that
Precision and efficiency of detecting, and then ensure the properties of product and quality of chip.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the utility model;
Fig. 2 is the circuit structure diagram of the utility model FPGA image acquisition and processing device;
Fig. 3 is the structural schematic diagram of the utility model control unit.
Specific embodiment
In order to make the purpose of the utility model, technical solutions and advantages more clearly understood, below in conjunction with attached drawing and implementation
Example, the present invention will be further described in detail.It should be appreciated that specific embodiment described herein is only used to explain
The utility model is not used to limit the utility model.
Embodiment
Refering to what is shown in Fig. 1, the utility model discloses a kind of chip pin defect detecting system based on machine vision, packet
Chip supply unit 1, camera 2, control unit 3, annular light source 4, light source controller 5, fibre optical sensor 6 and device for eliminating 7 are included,
Wherein:
Refering to what is shown in Fig. 1, chip supply unit 1 includes conveyer belt 11 and driving device 12, conveyer belt 11 is for carrying, being defeated
Chip A to be checked is sent, and its movement is driven by driving device 12.In the present embodiment, driving device 12 uses motor.
The top of conveyer belt 11 is arranged in camera 2 comprising imaging sensor 21, camera lens 22 and FPGA image acquisition and processing
Device 23, FPGA image acquisition and processing device 23 are used to acquire the chip image of the shooting of imaging sensor 21.FPGA schemes in the present embodiment
As the circuit structure of Acquisition Processor 23 is as shown in Figure 2.
Cooperate shown in Fig. 1 and Fig. 3, control unit 3 includes ARM primary processor 31 and DSP coprocessor 32, in which:
DSP coprocessor 32 is separately connected FPGA image acquisition and processing device 23 and ARM primary processor 31, is used for chip
Image is analyzed and processed and processing result is sent to ARM primary processor 31.DSP coprocessor 32 is converted by VGA signal
Circuit 100 connects display 200, to show DSP coprocessor 32 to the processing result of chip image.
ARM primary processor 31 connects driving device 12, realizes and controls the revolving speed of driving device 12 and positive and negative rotation.ARM master
Processor 31 is also connected with touch screen 300, hard disk 400 and ethernet connector 500, thus can by touch screen 300 into
Row checks the operations such as the processing result of chip image, setting coefficient of combination, by the processing result storage of chip image to hard disk 400
So as to subsequent access, statistics, the long-range monitoring of detection process is realized by ethernet connector 500.
Refering to what is shown in Fig. 1, light source controller 5 is separately connected ARM primary processor 31 and annular light source 4, such ARM main process task
Device 31 can control lighting or closing for annular light source 4 by light source controller 5.
Fibre optical sensor 6 is used to detect the position of chip A to be checked, and will test signal and be sent to ARM primary processor 31, this
For sample when chip A to be checked is transported to the lower section of camera lens 22, ARM primary processor 31 outputs a control signal to light source controller 5, into
And it controls annular light source 4 and lights, while controlling the shooting of camera 2, acquisition chip image.
Device for eliminating 7 is used to reject the bad chip there are pin defect, is controlled by ARM primary processor 31.In this reality
It applies in example, device for eliminating 7 realizes the rejecting of bad chip using blowing structure, and certain device for eliminating 7 can also be using other knots
Structure, the utility model are not specifically limited.
The preferable specific embodiment of the above, only the utility model, but the protection scope of the utility model is not
It is confined to this, anyone skilled in the art within the technical scope disclosed by the utility model, can readily occur in
Change or replacement, should be covered within the scope of the utility model.Therefore, the protection scope of the utility model should
It is subject to the protection scope in claims.
Claims (5)
1. a kind of chip pin defect detecting system based on machine vision, it is characterised in that: including chip supply unit, phase
The chip supply unit is arranged in machine, control unit, annular light source, light source controller and fibre optical sensor, the camera
Top comprising imaging sensor, camera lens and FPGA image acquisition and processing device, the FPGA image acquisition and processing device is for acquiring
The chip image of described image sensor shooting, described control unit includes ARM primary processor and DSP coprocessor, the DSP
Coprocessor is separately connected the FPGA image acquisition and processing device and ARM primary processor, is used to analyze chip image
Processing, the light source controller are separately connected the ARM primary processor and annular light source, the fibre optical sensor for detect to
The position of chip is examined, and will test signal and be sent to the ARM primary processor.
2. a kind of chip pin defect detecting system based on machine vision as described in claim 1, it is characterised in that: it is also
Including device for eliminating, the device for eliminating is controlled by the ARM primary processor, for rejecting the bad core there are pin defect
Piece.
3. a kind of chip pin defect detecting system based on machine vision as claimed in claim 1 or 2, it is characterised in that:
It further includes VGA signal conversion circuit and display, and the VGA signal conversion circuit is separately connected DSP coprocessor and display
Device.
4. a kind of chip pin defect detecting system based on machine vision as claimed in claim 1 or 2, it is characterised in that:
It further includes touch screen, hard disk and ethernet connector, and the touch screen, hard disk and ethernet connector are separately connected described
ARM primary processor.
5. a kind of chip pin defect detecting system based on machine vision as described in claim 1, it is characterised in that: described
Chip supply unit includes conveyer belt and driving device, and the conveyer belt is used to carry, convey chip to be checked, and by the driving
Device drives its movement, and the driving device is controlled by the ARM primary processor.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201821063733.XU CN208313802U (en) | 2018-07-05 | 2018-07-05 | A kind of chip pin defect detecting system based on machine vision |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201821063733.XU CN208313802U (en) | 2018-07-05 | 2018-07-05 | A kind of chip pin defect detecting system based on machine vision |
Publications (1)
Publication Number | Publication Date |
---|---|
CN208313802U true CN208313802U (en) | 2019-01-01 |
Family
ID=64717336
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201821063733.XU Expired - Fee Related CN208313802U (en) | 2018-07-05 | 2018-07-05 | A kind of chip pin defect detecting system based on machine vision |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN208313802U (en) |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110174403A (en) * | 2019-07-02 | 2019-08-27 | 何应辉 | A kind of polar detection method of filtering chip pin |
CN110286122A (en) * | 2019-06-03 | 2019-09-27 | 广东奥普特科技股份有限公司 | A kind of fiber device for vision-based detection |
CN110961364A (en) * | 2019-12-18 | 2020-04-07 | 浪潮(北京)电子信息产业有限公司 | Chip full-function self-test system based on FPGA platform and method thereof |
CN111145164A (en) * | 2019-12-30 | 2020-05-12 | 上海感图网络科技有限公司 | IC chip defect detection method based on artificial intelligence |
CN112730424A (en) * | 2020-12-11 | 2021-04-30 | 上海大学 | Aviation plug pin defect detection device and method |
CN113643256A (en) * | 2021-08-11 | 2021-11-12 | 广汽丰田汽车有限公司 | Pin defect identification method, processing device and computer readable storage medium |
CN114405839A (en) * | 2021-12-22 | 2022-04-29 | 徐州盛科半导体科技有限公司 | Intelligent defect detection equipment for packaged chip |
-
2018
- 2018-07-05 CN CN201821063733.XU patent/CN208313802U/en not_active Expired - Fee Related
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110286122A (en) * | 2019-06-03 | 2019-09-27 | 广东奥普特科技股份有限公司 | A kind of fiber device for vision-based detection |
CN110174403A (en) * | 2019-07-02 | 2019-08-27 | 何应辉 | A kind of polar detection method of filtering chip pin |
CN110961364A (en) * | 2019-12-18 | 2020-04-07 | 浪潮(北京)电子信息产业有限公司 | Chip full-function self-test system based on FPGA platform and method thereof |
CN111145164A (en) * | 2019-12-30 | 2020-05-12 | 上海感图网络科技有限公司 | IC chip defect detection method based on artificial intelligence |
CN112730424A (en) * | 2020-12-11 | 2021-04-30 | 上海大学 | Aviation plug pin defect detection device and method |
CN113643256A (en) * | 2021-08-11 | 2021-11-12 | 广汽丰田汽车有限公司 | Pin defect identification method, processing device and computer readable storage medium |
CN114405839A (en) * | 2021-12-22 | 2022-04-29 | 徐州盛科半导体科技有限公司 | Intelligent defect detection equipment for packaged chip |
CN114405839B (en) * | 2021-12-22 | 2023-12-19 | 徐州盛科半导体科技有限公司 | Intelligent defect detection equipment for packaged chip |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN208313802U (en) | A kind of chip pin defect detecting system based on machine vision | |
US20190388940A1 (en) | Automatic Magnetic Core Sorting System Based on Machine Vision | |
CN102539443B (en) | Bottle body defect automatic detection method based on machine vision | |
US20200116652A1 (en) | Method and device for detecting defect of cover lens in laser welding system on automobile production line | |
CN101545869B (en) | Embedded machine vision printing quality intelligent detecting system | |
CN104432498A (en) | Machine-vision-based visual cigarette appearance inspection device of cigarette making machine | |
CN102303017B (en) | Method for automatically detecting bending of injector steel needles by using machine vision system | |
CN102967606A (en) | Textile machine fabric defect visual inspection system | |
CN103837552A (en) | System for detecting apparent defects on protective glass of touch screen | |
CN205317684U (en) | Flaw detecting system dyes cloth based on image | |
CN107486412A (en) | A kind of target surface Defect Detection system based on machine vision | |
CN112326669A (en) | Coating defect detection and marking system and method | |
WO2012027869A1 (en) | Online quality detection method for closure assembly | |
CN109881356B (en) | Hosiery machine knitting needle online detection device and method based on SVM image classification | |
CN102141379A (en) | Novel glass bottle and jar detection device | |
CN109385876A (en) | A kind of the intelligent quality management system and its method of woven fabric | |
CN106353336A (en) | Lens coating automatic detection system | |
CN202351182U (en) | Online high-speed detection system for defects on surface of tinplate | |
CN201903510U (en) | Automatic fabric inspection system | |
CN202074946U (en) | Cigarette case appearance detecting device | |
CN108204977A (en) | Corn kernel quality automatic detection device based on machine vision | |
CN208771916U (en) | A kind of cylinder sleeve of automobile engine apparent visual detection device | |
CN205403731U (en) | Binding post vision detection system based on machine vision | |
CN106990113B (en) | Visual inspection device for quality of expansion section of automobile connecting rod blank | |
CN205146709U (en) | Detection apparatus for nonconforming product |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190101 |
|
CF01 | Termination of patent right due to non-payment of annual fee |