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Volume 43 Issue 8
Aug.  2021
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WANG Xuesong. Design of a Laser Spot Centroid Detection System Based on NIR CMOS[J]. Infrared Technology , 2021, 43(8): 730-735.
Citation: WANG Xuesong. Design of a Laser Spot Centroid Detection System Based on NIR CMOS[J]. Infrared Technology , 2021, 43(8): 730-735.
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Design of a Laser Spot Centroid Detection System Based on NIR CMOS

  • Beijing Glopro Optoelectronic Technology Co. Ltd., Beijing 100193, China

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  • Received Date: December 16, 2020
  • Revised Date: January 18, 2021
    Graphical Abstract
    • Abstract
  • To meet the requirements of high detection sensitivity, high-precision calculation of spot coordinates, and a calculated output speed greater than 1000 fps, this study introduces a system based on a near-infrared CMOS image sensor to calculate and output centroid coordinates in real time. We employed the NIR detector NOIP1FN1300A of the Python1300 series produced by the company ONsemiconductor to image the laser spot. The Cyclone4 series low-power FPGA was used to drive the sensor and deserialize the sensor output data, and a reliable centroid algorithm was used to calculate the spot coordinates. The results in the output part, USB2.0, and RS422 interfaces were used to output the target image and centroid coordinates in real time. The design has the following advantageous features: 1500 fps real-time processing capacity, a concise software code, accurate calculation of centroid coordinates, and low-power consumption.
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    • References (9)
  • [1]
    陈兴美, 严壮志. 基于FPGA的红外光斑中心实时检测[J]. 红外与激光工程, 2005(4): 401-405. DOI: 10.3969/j.issn.1007-2276.2005.04.007

    CHEN Xingmei, YAN Zhuanzhi. Real-time detection of infrared spot based on FPGA[J]. Infrared and Laser Engineering, 2005(4): 401-405. DOI: 10.3969/j.issn.1007-2276.2005.04.007
    [2]
    向世明, 高教波, 焦明印. 现代光电子成像技术概论[M]. 北京: 北京理工大学出版社, 2010: 155-156, 168-169.

    XIANG Shiming, GAO Jiaobo, JIAO Mingyin. Introduction to Modern Optoelectronic Imaging Technology[M]. Beijing: Beijing Institute of Technology Press, 2010: 155-156, 168-169.
    [3]
    胡治国, 何海菠, 范祝军. 基于FPGA的光斑图像中值滤波处理[J]. 自动化与仪器仪表, 2013(4): 127-128. https://www.cnki.com.cn/Article/CJFDTOTAL-ZDYY201304053.htm
    [4]
    黄茂祥, 刘允才. 基于FPGA的快速红外光斑检测[J]. 微型电脑应用, 2010, 26(10): 54-57. https://www.cnki.com.cn/Article/CJFDTOTAL-WXDY201010020.htm

    HUANG Maoxiang, LIU Yuncai. Fast infrared spot detection based on FPGA[J]. Microcomputer Applications, 2010, 26(10): 54-57. https://www.cnki.com.cn/Article/CJFDTOTAL-WXDY201010020.htm
    [5]
    马利刚, 马铁华. 基于FPGA的实时图像采集系统设计[J]. 计量与测试技术, 2009(4): 51-52, 56. https://www.cnki.com.cn/Article/CJFDTOTAL-JLYS200904026.htm

    MA Ligang, MA Tiehua. Design of image sampling system based on FPGA[J]. Metrology & Measurement Technique, 2009(4): 51-52, 56. https://www.cnki.com.cn/Article/CJFDTOTAL-JLYS200904026.htm
    [6]
    白廷柱. 光电成像技术与系统[M]. 北京: 电子工业出版社, 2016.

    BAI Tingzhu. Photoelectric Imaging Technology and System[M]. Beijing: Electronic Industry Press, 2016.
    [7]
    姚立斌. 低照度CMOS图像传感器技术[J]. 红外技术, 2013, 35(3): 125-132. http://hwjs.nvir.cn/article/id/hwjs201303003

    YAO Libin. Low-light-level CMOS image sensor technique[J]. Infrared Technology, 2013, 35(3): 125-132. http://hwjs.nvir.cn/article/id/hwjs201303003
    [8]
    肖锋钢, 刘建国, 曾淙泳, 等. 一种新型提高光斑图像质心精度的去噪方法[J]. 计算机应用研究, 2008(12): 3683-3684, 3687(doi: 10.3969/j.issn.1001-3695.2008.12.046).

    XIAO Fenggang, LIU Jianguo, ZENG Congyong, et al. New denosing method for improving speckle image centriod accuracy[J]. Application Research of Computers, 2008(12): 3683-3684, 3687 (doi: 10.3969/j.issn.1001-3695.2008.12.046).j.issn.1001-3695.2008.12.046).
    [9]
    樊巧云, 张广军. 离散噪声图像的光斑质心算法及其硬件实现[J]. 光学精密工程, 2011(12): 2992-2998(doi:10.3788/OPE. 20111912. 2992).

    FAN Qiaoyun, ZHANG Guangjun. Spot centroiding algorithm for discrete noise image and its hardware implementation[J]. Optics and Precision Engineering, 2011(12): 2992-2998(doi:10.3788/OPE. 20111912.2992).
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