Abstract
A first approach to the parallel implementation of an automated visual quality inspection (VQI) system for printed ceramic dishes is described. The VQI system is designed to detect defects on the surface drawings of dishes printed automatically by industrial series production. Quality inspection must be accomplished online, so a parallel implementation is proposed to speed up processing. The paper briefly introduces the algorithms employed to accomplish the various steps of quality inspection, focusing on the parallel implementation of such algorithms and the digital signal processor (DSP) platform employed. The results of the experimental tests show classification abilities of the proposed algorithms, as well as performance times for the DSP based hardware platform and parallelization efficiency of VQI algorithms.
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