Artificial Intelligence Techniques In IC Chip Marking Inspection

Karthigayan, M., and Nagarajan, R., and Sazali Yaacob, and Pandian, Paulraj , and Mohamed Rizon Mohamed Juhari, (2005) Artificial Intelligence Techniques In IC Chip Marking Inspection. Jurnal Penyelidikan dan Pendidikan Kejuruteraan, 2 (2). pp. 17-29. ISSN 18232981

Abstract

In this paper, an industrial machine vision system incorporating Optical Character Recognition (OCR) is employed to inspect the marking on the 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 Instrument is used in this investigation. The IC Chips makings are laser printed making on IC Chips and are according to the specifications. Artificial intelligence (AI) techniques are used in this inspection. AI technoques utilized are neural network and fuzzy logic. The inspection are carried out to find the print errors; such as illegible character, upside down print and missing characters. The vission inspection of the printed markings on the IC chip is carried out in three phases, namely, image preprocessing, feature extraction and classification. MATLAB platform and its toolboxes are used for designing the inspection processing technique. The percentage of accuracy of the classification is found to be between 97% - 100%.

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Abstract