An Expandable Hardware Platform for Implementation of CNN-Based Applications

被引：0
|
作者：
Javier Martinez-Alvarez, J. [1 ]
Javier Garrigos-Guerrero, F. [1 ]
Javier Toledo-Moreo, F. [1 ]
Manuel Ferrandez-Vicente, J. [1 ]
机构：
[1] Univ Politecn Cartagena, Dpto Elect Tecnol Comp & Proyectos, Cartagena 30202, Spain
来源：
NEW CHALLENGES ON BIOINSPIRED APPLICATIONS: 4TH INTERNATIONAL WORK-CONFERENCE ON THE INTERPLAY BETWEEN NATURAL AND ARTIFICIAL COMPUTATION, IWINAC 2011, PART II | 2011年 / 6687卷
关键词：
CELLULAR NEURAL-NETWORKS; FPGA;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a standalone system for real-time processing of video streams using CNNs. The computing platform is easily expandable and customizable for any application. This is achieved by using a modular approach both for the CNN architecture itself and for its hardware implementation. Several FPGA-based processing modules can be cascaded together with a video acquisition stage and an output interface to a framegrabber for video output storage, all sharing a common communication interface. The pre-verified CNN components, the modular architecture, and the expandable hardware platform provide an excellent workbench for fast and confident developing of CNN applications.
引用
收藏
页码：195 / 204
页数：10
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