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
Link To Document :
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