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Research on PCBA Intelligent Vision Inspection Technology Powered by Virtual Instruments

Author: LiNi
Tutor: PanKaiLin
School: Guilin University of Electronic Science and Technology
Course: Mechanical and Electronic Engineering
Keywords: Virtual instrument Visual inspection Image processing Multi-channel detection Printed board assemblies Automated Optical Inspection The intelligent optical detection analysis
CLC: TN407
Type: Master's thesis
Year: 2009
Downloads: 135
Quote: 0
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Abstract


Microelectronics surface mount technology (SMT), the density of the printed circuit board assembly (PCBA) With the continuous miniaturization of components is becoming more and more high. PCBA conduct quality testing, the traditional artificial visual inspection has been unable to meet its high density, miniaturization development needs. State-of-the-art visual detection technology has the advantages of fast, non-contact, high-precision, just be able to meet the development needs of SMT production lines with a wide range of applications and development prospects. This article is based virtual instrument technology for the development to the the NI company's innovative products LabVIEW platform, combined with its visual development tools IMAQ Vision for a the PCBA smart visual detection technology research and system development, improve the development efficiency and shorten the development cycle, reduce development costs. First, the study of the composition of computer vision detection system based on virtual instrument, and design details of the PCBA visual detection system embodiment. In order to cope with the high detection speed of SMT production lines, paper, based on the idea of ??regional segmentation of a multi-channel visual detection methods. The experiments confirmed that, under the same conditions, the system detects speed greatly enhanced. Second, for PCBA image of the inherent characteristics of the focus on the the PCBA image enhancement method, morphological processing, the segmentation algorithm analysis and research, the automatic threshold based on the mathematical statistical regularities of the gray value segmentation algorithm to improve the PCBA visual detection The detection rate and degree of automation of the system laid the foundation. PCBA defect classification, and different defect types of visual identification method. Finally, based on sub-regional search method to identify different types of defects, good recognition effect. Again, study the feasibility of the PCBA intelligent visual assessment, and for the the Advanced intelligent application of computer vision PCBA quality testing. Research product appearance testing standards and previous research at the same time, using a combination of offline analysis and online testing means the introduction of joint shape and solder joint reliability theory, and on this basis a smart intelligent analysis capabilities of new intelligent optical detection analysis (IOIA) method, successfully resolved the solder joint reliability analysis and evaluation of the feasibility of using visual methods, and life prediction of online real-time issues, PCBA visual detection system paved the way for the development. Finally, based on the LabVIEW development platform and IMAQ Vision tools successfully developed the prototype of a the PCBA smart visual inspection system and the speed and reliability of the system is confirmed through experiments. We know that currently on the market similar AOI inspection system parameters, as the system is optimized for fast automatic threshold segmentation algorithm and sub-regional search and multi-channel detection technology, making the detection speed has been significantly improved. With the increase of the number of channels, multi-channel system detects speed will be doubled.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Microelectronics, integrated circuit (IC) > General issues > Testing and inspection
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