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Supervisory fuzzy learning control for underwater target tracking
(World Academy of Science, Engineering and Technology, 2005-06)
This paper presents recent work on the improvement of the robotics vision based control strategy for underwater pipeline tracking system. The study focuses on developing image processing algorithms and a fuzzy inference ...
Artificial intelligence techniques in IC chip marking
(Kolej Universiti Kejuruteraan Utara Malaysia, 2005)
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 ...