International Standard Serial Number:

ISSN 1001-4551

Sponsor:

Zhejiang University;

Zhejiang Machinery and Electrical Group

Edited by:

Editorial of Journal of Mechanical & Electrical Engineering

Chief Editor:

ZHAO Qun

Vice Chief Editor:

TANG ren-zhong,

LUO Xiang-yang

Tel:

86-571-87041360,87239525

Fax:

86-571-87239571

Add:

No.9 Gaoguannong,Daxue Road,Hangzhou,China

P.C:

310009

E-mail:

meem_contribute@163.com

Online visual inspection for welding defects of silicon battery chips
Published:2018-08-02 author:CHEN Zhi qiang, LOU Pei huang, QIAN Xiao ming Browse: 1787 Check PDF documents
                                                   Online visual inspection for welding defects of silicon battery chips
                                                            CHEN Zhiqiang, LOU Peihuang, QIAN Xiaoming
        (College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)




Abstract: Aiming at the online quality inspection of welded silicon battery chips, an online quality inspection method of welded silicon battery chips based on visual identification technology was proposed in this paper, including feature recognition and visual measurement. In the feature recognition stage, an improved region growing algorithm was proposed to finish the highspeed and stable detection of gridlinefracture features; For the scratch and dirty features caused by welding, the regions of interest was adaptive thresholded, then the defects were filtered by invariant moments feature. In the field of visual measurement, using the symmetry of target image, pixel based measurements of solder strip offsets and chip spacings were carried out through a number of sampling rectangles. The acquisition of inter chip images at each transmission beat was enabled, the original image was segmented into a number of regions of interest by the edge location method,so that highspeed online detection was completed. The results of actual online test indicate that, the visual inspection method of welded silicon battery chips can identify target defects quickly and accurately, and it has the characteristics of good recognition stability.

Key words: automated welding; online inspection;visual measurement; invariant moments feature; region growing
  • Chinese Core Periodicals
  • Chinese Sci-tech Core Periodicals
  • SA, INSPEC Indexed
  • CSA: T Indexed
  • UPD:Indexed

Copyright 2010 Zhejiang Information Institute of Mechinery Industry All Rights Reserved

Technical Support:Hangzhou Bory science and technology

You are 1895221 visit this site