• DocumentCode
    2540176
  • Title

    Development of Enhanced Active Shape Model (EASM) for in-situ Automatic Optical Inspection (AOI)

  • Author

    Chen, Liang-Chia ; Tapilouw, Abraham Mario ; Van Thai, Nguyen

  • Author_Institution
    Grad. Inst. of Autom. Technol., Nat. Taipei Univ. of Technol., Taipei, Taiwan
  • fYear
    2010
  • fDate
    13-15 Dec. 2010
  • Firstpage
    410
  • Lastpage
    413
  • Abstract
    Conventional current active shape model (ASM) applied to in-situ Automatic Optical Inspection (AOI) has the drawback of inability to locate position, size or orientation of detected targets. This article presents an enhanced active shape model (EASM), which evaluates both offset and orientation during component detection and positioning. The developed method is employed to inspect various electronic components mounted on printed circuit boards (PCB). Experimental results show that it can achieve both robustness and accuracy. In addition, the accuracy of component positioning increases with increasing number of sample images used for building the model, and peaks at the threshold number of images, which varies with quality of the EASM in representing the detected component. Our findings validate the feasibility of applying the developed approach to production environment.
  • Keywords
    automatic optical inspection; image sampling; object detection; printed circuits; shape recognition; AOI; EASM; automatic optical inspection; enhanced active shape model; image sampling; in-situ; printed circuit boards; target detection; Accuracy; Active shape model; Biomedical imaging; Facial features; Robustness; Shape; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-8891-9
  • Electronic_ISBN
    978-0-7695-4281-2
  • Type

    conf

  • DOI
    10.1109/ICGEC.2010.108
  • Filename
    5715456