• DocumentCode
    1281579
  • Title

    Adaptive online solder joint inspection algorithm based on incremental clustering

  • Author

    Xie, Huan ; Zhang, Xiaobing

  • Author_Institution
    Sch. of Mech. & Automotive Eng., South China Univ. of Technol., Guangzhou, China
  • Volume
    47
  • Issue
    15
  • fYear
    2011
  • Firstpage
    850
  • Lastpage
    851
  • Abstract
    An incremental cluster based adaptive online solder joint inspection algorithm is proposed and demonstrated. First, the framework of an intelligent automated optical inspection (AOI) system is designed. Then, the initial solder joint classifier is established with the clustering algorithm. Finally, with a new incremental clustering algorithm, the AOI system can automatically adjust inspection parameters according to the feedback from the repair station. Experiments have shown that the proposed algorithm has a high inspection accuracy, and it is adaptive to environmental changes.
  • Keywords
    automatic optical inspection; pattern clustering; soldering; AOI system; adaptive online solder joint inspection algorithm; automatic inspection parameter adjustment; incremental clustering algorithm; intelligent automated optical inspection system; repair station; solder joint classifier;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2011.1139
  • Filename
    5961132