In this paper, an industrial machine vision system incorporating Optical Character Recognition
(OCR) is employed to inspect the marking on the Integrated Circuit (/C) Chips. This inspection
is carried out while the /Cs are coming out from the manufacturing line. A TSSOP-DGG type
of /C package from Texas Instrument is used in this investigation. The /C chips markings
are laser printed. This inspection system tests are laser printed marking on IC chips and are
according to the specifications. Artificial intelligence (AI) techniques are used in this inspection.
AI techniques utilized are neural network and fuzzy logic. The inspection is carried out to find
the print errors; such as illegible character, upside down print and missing characters. The
vision inspection of the printed markings on the /C 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%
