DocumentCode
2253609
Title
Automatic detectand match of LED dies basing on position relations betweenadjacent dies
Author
Wu, Tao ; Li, Bin ; Wang, Long-wen ; Huang, Yu
Author_Institution
Nat. Numerical Control Syst. Eng. Res. Center, Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
3
fYear
2010
fDate
11-14 July 2010
Firstpage
1195
Lastpage
1200
Abstract
In order to improve production efficiency, inspecting and sorting of LED dies are done respectively in prober and sorter. During the inspection, dies may be broken, fragmentized, tiny moved, or deflected slightly, besides, visual scan can also lead to location deviation when the wafer is moved from prober to sorter. All of this can cause some dies mismatch in the sorting stage, which is never allowed. In order to get integrated match of dies, the position relations between adjacent dies are considered, techniques including diagnosing criterion of position relatives, redundant visual scanning, forward and backtrack algorithm with cross priority are put forward. It is proved with experimental results that such re-index approach is more applicable than traditional index method. When dies arrange in good order, match rate is more than 99.5%, by compassion, that of traditional index method is less than 92%. When the wafer is deflected slightly or locally fragmentized, match rate of the former is more than 92.5%, by contrast, that of the latter is less than 50% in same situation.
Keywords
dies (machine tools); materials handling; LED dies; adjacent dies; automatic detect; sorting; Cybernetics; Dies; Indexes; Light emitting diodes; Machine learning; Magnetic heads; Visualization; Automatic match; Backtrack algorithm with cross priority; Die prober; Die sorter; Position relatives; Redundant visual scanning;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5580907
Filename
5580907
Link To Document