Laser & Optoelectronics Progress, Volume. 59, Issue 18, 1815008(2022)

Detection Algorithm of Wire Harness Terminal Core Based on Improved EfficientDet

Shisong Zhu1、*, Xiushuai Sun1, Lishan Zhao1, Bibo Lu1, and Donglin Yao2
Author Affiliations
  • 1School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454003, Henan , China
  • 2The First Military Representative Office of the Air Force Equipment Department in Wuhan, Wuhan 430000, Hubei , China
  • show less
    References(25)

    [1] Huang J F. The study of crimping terminal process and reliability analysis[D], 20-22(2016).

    [2] Li X J, Li B B, Yu X J. Online detection system of the wiring harness terminal[J]. Process Automation Instrumentation, 36, 65-68(2015).

    [3] Lu B B, Liu L Q, Zheng Y M et al. A method for segmenting the microscopic cable harness image automatically[J]. Opto-Electronic Engineering, 43, 49-55(2016).

    [5] Hou S M, Wang Y, Tang Q B et al. Crimp terminals sectional contour extraction based on partial differential equation and canny operator[J]. Journal of Shanxi University (Natural Science Edition), 40, 676-682(2017).

    [6] Lu B B, Hu T Q, Liu T T. Variable exponential chromaticity filtering for microscopic image segmentation of wire harness terminals[J]. Optics and Precision Engineering, 27, 1894-1900(2019).

    [7] Guo F, Wang Y Y. Application of terminal image measurement system based on human computer interaction and target detection[J]. Journal of Qiqihar University (Natural Science Edition), 37, 47-50, 61(2021).

    [8] Jiang N, Zhou H Y, Yu F H. Review of computer vision based object counting methods[J]. Laser & Optoelectronics Progress, 58, 1400002(2021).

    [17] Zhao J M, Li X D, Li B S. Algorithm of sheep dense counting based on unmanned aerial vehicle images[J]. Laser & Optoelectronics Progress, 58, 2210013(2021).

    [18] Ke B S, Li Y, Ren Z B et al. Deep learning-based detection method for mitosis in living cells[J]. Acta Optica Sinica, 41, 1511001(2021).

    [20] Ming H Y, Chen C M, Liu G H et al. Improved counting algorithm for dense rebars based on RetinaNet[J]. Transducer and Microsystem Technologies, 39, 115-118(2020).

    Tools

    Get Citation

    Copy Citation Text

    Shisong Zhu, Xiushuai Sun, Lishan Zhao, Bibo Lu, Donglin Yao. Detection Algorithm of Wire Harness Terminal Core Based on Improved EfficientDet[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1815008

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Machine Vision

    Received: Jul. 9, 2021

    Accepted: Aug. 2, 2021

    Published Online: Aug. 29, 2022

    The Author Email: Zhu Shisong (zss@hpu.edu.cn)

    DOI:10.3788/LOP202259.1815008

    Topics