A very complex vision system is developed to detect luminosity variations connected with the discovery of new planets in the Universe. The traditional imaging system can not manage a so large load. A private net is implemented to perform an automatic vision and decision architecture. It lets to carry out an on-line discrimination of interesting events by using two levels of triggers. This system can even manage many Tbytes of data per day. The architecture avails itself of a distributed parallel network system based on a maximum of 256 standard workstations with Microsoft Window as OS.
@article{arxiv.cs/0308037,
title = {Distributed and Parallel Net Imaging},
author = {G. Iovane},
journal= {arXiv preprint arXiv:cs/0308037},
year = {2007}
}
Comments
3 pages, 8 figures, Procedding of NIDays 2003 (sponsored by National Instruments), Rome 2003. Winner (2nd classified) of the price "Best Application of Measurement and Automation