DocumentCode :
831898
Title :
Bi-i: a standalone ultra high speed cellular vision system
Author :
Zarándy, Ákos ; Rekeczky, Csaba
Author_Institution :
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
Volume :
5
Issue :
2
fYear :
2005
fDate :
6/27/1905 12:00:00 AM
Firstpage :
36
Lastpage :
45
Abstract :
The Bi-i standalone cellular vision system is introduced and discussed. In the first part, the underlying sensor and system level architectures are presented and various implementations are overviewed. This computing platform consists of state-of-the-art sensing, cellular sensing-processing, digital signal processing and communication devices that make it possible to use the system as an ideal computing platform for combined topographic and non-topographic calculations in sensing-processing-actuation scenarios. In the second part of the paper, ultra-high frame rate laboratory experiments are shown and discussed to highlight the most peculiar features of the system and its applicability in various industrial quality control areas. The overview underlines the potentials of the Bi-i vision system for unmanned intelligent vehicle applications in visual exploration, identification, tracking and navigation.
Keywords :
cellular neural nets; computer vision; image sensors; neural chips; remotely operated vehicles; Bi-i standalone cellular vision system; cellular sensing-processing; communication devices; digital signal processing; sensing-processing-actuation scenarios; sensor architectures; system level architectures; unmanned intelligent vehicle; visual exploration; Computer architecture; Digital signal processing; Electrical equipment industry; Industrial control; Intelligent vehicles; Laboratories; Machine vision; Navigation; Quality control; Sensor systems;
fLanguage :
English
Journal_Title :
Circuits and Systems Magazine, IEEE
Publisher :
ieee
ISSN :
1531-636X
Type :
jour
DOI :
10.1109/MCAS.2005.1438738
Filename :
1438738
Link To Document :
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