Paper
9 December 2015 Development of embedded real-time and high-speed vision platform
Author Affiliations +
Proceedings Volume 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015); 981711 (2015) https://doi.org/10.1117/12.2228568
Event: Seventh International Conference on Graphic and Image Processing, 2015, Singapore, Singapore
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.
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Zhenxing Ouyang, Yimin Dong, and Hua Yang "Development of embedded real-time and high-speed vision platform", Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 981711 (9 December 2015); https://doi.org/10.1117/12.2228568
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KEYWORDS
Digital signal processing

Image processing

Detection and tracking algorithms

Field programmable gate arrays

Target detection

Cameras

Algorithm development

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