• DocumentCode
    614962
  • Title

    Die level defects detection in semiconductor units

  • Author

    Said, Ahmad Fahmi ; Patel, Nital S.

  • Author_Institution
    ATTD Autom. Pathfinding, Intel Corp., Chandler, AZ, USA
  • fYear
    2013
  • fDate
    14-16 May 2013
  • Firstpage
    130
  • Lastpage
    133
  • Abstract
    The assembly test process has many steps where defects can be created at any time during different stages. Detecting defects at early stages is very crucial and saves a lot of cost and time by isolating the defective parts from further processing. Detecting defects on the die area of the semiconductor units is a challenging procedure due to the fact that die´s defects exhibits large variations in intensity and shape. The existing manual and automated inspection approaches still produce high rate of under-rejection and over-rejection which impacts the yield and adds significant cost to the inspected unit. A robust die level defect detection procedure is presented in this paper in order to come up with a solution that is cheaper, easier to sustain, and that would automatically inspect each unit for defects providing for efficient baseline characterization and rapid excursion detection. The proposed method gives a higher detection rate of die level defects with under-rejecting and over-rejection rates within the acceptable criteria.
  • Keywords
    inspection; integrated circuit testing; integrated circuit yield; assembly test process; automated inspection; baseline characterization; defective parts; die level defects detection; integrated circuit yield; rapid excursion detection; semiconductor units; Cameras; Feature extraction; Histograms; Image segmentation; Inspection; Robustness; Shape; Segmentation; defect detection; die level defects; feature analysis; shape analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Semiconductor Manufacturing Conference (ASMC), 2013 24th Annual SEMI
  • Conference_Location
    Saratoga Springs, NY
  • ISSN
    1078-8743
  • Print_ISBN
    978-1-4673-5006-8
  • Type

    conf

  • DOI
    10.1109/ASMC.2013.6552800
  • Filename
    6552800