Title :
Design of the high-speed image acquisition system based on NiosII
Author_Institution :
Dept. of Comput. Sci., Hubei Inst. for Nat., Enshi, China
Abstract :
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.
Keywords :
computerised instrumentation; electronic engineering computing; image processing equipment; laser materials processing; optical sensors; system-on-chip; NiosII soft-core processor; SOPC technology; heterogeneous in-process sensors; high-speed image acquisition system design; inductive classifier optimal implementation; laser beam material processing units; online laser beam control; online quality detection; system on programmable chip technology; Decoding; Field programmable gate arrays; Hardware; Instruments; Program processors; Registers; SDRAM; multisensor classification; neural classifier; quality assessment;
Conference_Titel :
Electronic Measurement & Instruments (ICEMI), 2011 10th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8158-3
DOI :
10.1109/ICEMI.2011.6037893
