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Proceedings Paper

Uranus: a rapid prototyping tool for FPGA embedded computer vision
Author(s): Victor Rosales-Hernández; Liz Castillo-Jimenez; Gilberto Viveros-Velez; Virgilio Zuñiga-Grajeda; Abel Treviño Torres; M. Arias-Estrada
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Paper Abstract

The starting point for all successful system development is the simulation. Performing high level simulation of a system can help to identify, insolate and fix design problems. This work presents Uranus, a software tool for simulation and evaluation of image processing algorithms with support to migrate them to an FPGA environment for algorithm acceleration and embedded processes purposes. The tool includes an integrated library of previous coded operators in software and provides the necessary support to read and display image sequences as well as video files. The user can use the previous compiled soft-operators in a high level process chain, and code his own operators. Additional to the prototyping tool, Uranus offers FPGA-based hardware architecture with the same organization as the software prototyping part. The hardware architecture contains a library of FPGA IP cores for image processing that are connected with a PowerPC based system. The Uranus environment is intended for rapid prototyping of machine vision and the migration to FPGA accelerator platform, and it is distributed for academic purposes.

Paper Details

Date Published: 29 May 2007
PDF: 8 pages
Proc. SPIE 6356, Eighth International Conference on Quality Control by Artificial Vision, 63561A (29 May 2007); doi: 10.1117/12.737161
Show Author Affiliations
Victor Rosales-Hernández, Instituto Nacional de Astrofísica, Óptica y Electrónica (Mexico)
Liz Castillo-Jimenez, Instituto Nacional de Astrofísica, Óptica y Electrónica (Mexico)
Gilberto Viveros-Velez, Instituto Nacional de Astrofísica, Óptica y Electrónica (Mexico)
Virgilio Zuñiga-Grajeda, Instituto Nacional de Astrofísica, Óptica y Electrónica (Mexico)
Abel Treviño Torres, Instituto Nacional de Astrofísica, Óptica y Electrónica (Mexico)
M. Arias-Estrada, Instituto Nacional de Astrofísica, Óptica y Electrónica (Mexico)


Published in SPIE Proceedings Vol. 6356:
Eighth International Conference on Quality Control by Artificial Vision

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