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  • 标题:Automatic PCB Defect Detection Using Image Processing Method
  • 本地全文:下载
  • 作者:Sonal Kaushik ; Javed Ashraf
  • 期刊名称:International Journal of Computer Science and Network
  • 印刷版ISSN:2277-5420
  • 出版年度:2012
  • 卷号:1
  • 期号:5
  • 出版社:IJCSN publisher
  • 摘要:A printed circuit board, or (PCB) is used to mechanically supportand electrically connect electronic components using conductivepathways, track or signal traces etched from copper sheetslaminated onto anon conductive substrate. The automaticinspection of PCBs serves a purpose which is traditional incomputer technology. The purpose is to relieve human inspectorsof the tedious and inefficient task of looking for those defects inPCBs which could lead to electric failure. In this project MachineVision PCB Inspection System is applied at the first step ofmanufacturing, i.e., the making of bare PCB. We first compare aPCB standard image with a PCB image, using a simple subtractionalgorithm that can highlight the main problem-regions. We havealso seen the effect of noise in a PCB image that at what level thismethod is suitable to detect the faulty image. Our focus is to detectdefects on printed circuit boards & to see the effect of noise.Typical defects that can be detected are over etchings (opens),under-etchings (shorts), holes etc.
  • 关键词:Machine vision; PCB defects; Image;Subtraction Algorithm; PCB Inspection
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