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A real time marking inspection scheme for semiconductor industries

Nagarajan, R. and Yaacob, Sazali and Pandian, P. and Karthigayan, M. and Amin, Shamsudin and Khalid, Marzuki (2007) A real time marking inspection scheme for semiconductor industries. The international journal of advanced manufacturing technology, 34 (9-10). pp. 926-932. ISSN 0268-3768 (Print) 1433-3015 (Online)


Official URL: http://dx.doi.org/10.1007/s00170-006-0669-1


In this paper, a real time industrial machine vision system incorporating optical character recognition (OCR) is employed to inspect markings on integrated circuit (IC) chips. This inspection is carried out while the ICs are coming out from the manufacturing line. A TSSOP-DGG type of IC package from Texas Instruments is used in the investigation. The IC chip markings are laser printed. This inspection system tests whether the laser printed marking on IC chips is proper. The inspection has to identify print errors such as illegible characters, missing characters and upside down printing. The vision inspection of the printed markings on the IC chip is carried out in three phases, namely, image preprocessing, feature extraction and classification. The MATLAB platform and its toolboxes are used for designing the inspection processing technique. Speed of the marking inspection is mostly dependent on the effectiveness of the feature extraction technique. The performances of four feature extraction techniques are compared in terms of their respective speed. The feature extracted data are used in a neural network for classifying the marking errors. A suggestion to optimize the number of input neurons of the neural network for a fast classification is also presented.

Item Type:Article
Uncontrolled Keywords:IC chip marking inspection, machine vision, projection profile, neural network
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Mechanical Engineering
ID Code:7203
Deposited By: Surayahani Abu Bakar
Deposited On:31 Dec 2008 01:37
Last Modified:14 Mar 2017 08:58

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