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Proceedings Paper

SOPC-based real-time spots detection and ordering for an artificial compound eye of 3D object detection
Author(s): Huijie Jian; Jianzheng He; Keyi Wang; Xiangcheng Chen
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Paper Abstract

A real-time image capture and processing system for the artificial compound eye of 3D object detection is presented. A light spot in 3D space could be imaged as a series of spots on the image sensor by the compound eye we developed. In order to alleviate the pressure on data transmission, processing and storage, image processing algorithms including medium filtering, single-pass connected components labelling (CCL) and center of gravity (COG) were integrated into the camera. The camera was mainly made up with a single cyclone IV FPGA chip and it is a SOPC based system. The image processing algorithms were implemented as an intellectual property (IP) core that is applicable to the Avalon Memory-Mapped (Avalon-MM) interfaces. Then the output of the camera is a series of spot coordinates which is in a sequential order. From the results of testing, the maximum image processing rate is about 20fps, which has exceeded the maximum frame rate (15fps) of the image sensor at a high image resolution of 2048 × 2048.

Paper Details

Date Published: 24 October 2017
PDF: 8 pages
Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104621V (24 October 2017); doi: 10.1117/12.2284284
Show Author Affiliations
Huijie Jian, Univ. of Science and Technology of China (China)
Jianzheng He, Univ. of Science and Technology of China (China)
Keyi Wang, Univ. of Science and Technology of China (China)
Xiangcheng Chen, Wuhan Univ. of Technology (China)


Published in SPIE Proceedings Vol. 10462:
AOPC 2017: Optical Sensing and Imaging Technology and Applications
Yadong Jiang; Haimei Gong; Weibiao Chen; Jin Li, Editor(s)

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