Design of the high-speed image acquisition system based on NiosII

• Published in: IEEE 2011 10th International Conference on Electronic Measurement & Instruments Vol. 3; pp. 225 - 227
• Main Author: Yuan Hailin
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-08-2011
• Subjects: Decoding; Field programmable gate arrays; Hardware; Instruments; multisensor classification; neural classifier; Program processors; quality assessment; Registers; SDRAM
• ISBN: 9781424481583; 1424481589
• DOI: 10.1109/ICEMI.2011.6037893

Online quality detection and online laser beam control are important research topics to improve the overall quality of nowadays laser beam material processing units. In both cases innovative units are at study where the state is monitored by a set of heterogeneous in-process sensors conveying a large amount of information. However, low experiment reproducibility, lack of dominion knowledge and high costs greatly limit our ability of finding an optimal solution. In this paper we propose a methodology to guide the engineer's design choices towards an optimal implementation of the inductive classifier.