Laser & Optoelectronics Progress, Volume. 58, Issue 24, 2415003(2021)

Apochromatic Design of Machine Vision Optical System

Kuizhen Luo1,2, Fangjin Yu1, and Xingyu Gao1、*
Author Affiliations
  • 1Guangxi's Key Laboratory of Manufacturing Systems and Advanced Manufacturing Technology, School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, Guangxi 541004, China
  • 2School of Electronics Engineering and Automation, Guilin University of Electronics Technology, Guilin, Guangxi 541004, China
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    The optical system is divided into four segments in this study, according to the apochromatic and high-resolution requirements of the machine vision lens, and the initial structure of each segment is optimised independently before being merged to obtain the initial structure of the lens segment. The Buchdahl dispersion vector analysis method is employed to perform targeted replacement of some glass materials, and multiple optimisations are applied to provide an apochromatic machine vision optical system that fulfils the criteria of optical performance. The focal length of the system is 60 mm, the half field of view is 11° and the F-number is 5.45. The image field can match a 1″ large target CMOS camera, and each field of view has a modulation transfer function value of 200 lp/mm. At an aperture of 0.707, the system’s residual chromatic aberration is 0.01665 μm, which is within the system’s chromatic aberration tolerance. The secondary spectrum of the system is 0.08385 μm, indicating that the optical system is apochromatic. The Buchdahl dispersion vector is shown to be effective in the experiments. In the process of grouping design and overall optimisation of the lens system, the analysis method can provide greater convenience for the selection of optical glass and the overall optimisation of the system.

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    Kuizhen Luo, Fangjin Yu, Xingyu Gao. Apochromatic Design of Machine Vision Optical System[J]. Laser & Optoelectronics Progress, 2021, 58(24): 2415003

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    Paper Information

    Category: Machine Vision

    Received: Dec. 28, 2020

    Accepted: Mar. 3, 2021

    Published Online: Nov. 29, 2021

    The Author Email: Gao Xingyu (gxy1981@guet.edu.cn)

    DOI:10.3788/LOP202158.2415003

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