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Proceedings Paper

Development of embedded real-time and high-speed vision platform
Author(s): Zhenxing Ouyang; Yimin Dong; Hua Yang
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Paper Abstract

Currently, high-speed vision platforms are widely used in many applications, such as robotics and automation industry. However, a personal computer (PC) whose over-large size is not suitable and applicable in compact systems is an indispensable component for human-computer interaction in traditional high-speed vision platforms. Therefore, this paper develops an embedded real-time and high-speed vision platform, ER-HVP Vision which is able to work completely out of PC. In this new platform, an embedded CPU-based board is designed as substitution for PC and a DSP and FPGA board is developed for implementing image parallel algorithms in FPGA and image sequential algorithms in DSP. Hence, the capability of ER-HVP Vision with size of 320mm x 250mm x 87mm can be presented in more compact condition. Experimental results are also given to indicate that the real-time detection and counting of the moving target at a frame rate of 200 fps at 512 x 512 pixels under the operation of this newly developed vision platform are feasible.

Paper Details

Date Published: 9 December 2015
PDF: 10 pages
Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 981711 (9 December 2015); doi: 10.1117/12.2228568
Show Author Affiliations
Zhenxing Ouyang, Huazhong Univ. of Science and Technology (China)
Yimin Dong, Huazhong Univ. of Science and Technology (China)
Hua Yang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9817:
Seventh International Conference on Graphic and Image Processing (ICGIP 2015)
Yulin Wang; Xudong Jiang, Editor(s)

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