Laser & Optoelectronics Progress, Volume. 62, Issue 4, 0412008(2025)

Research on Defect Detection Method for Power Battery Laser Welding Based on 3D Vision

Qinghai Lü1,2、*, Yang Zhao1,2, Weiguo He3, Hui Ouyang3, and Zhongren Wang1,2
Author Affiliations
  • 1School of Mechanical Engineering, Hubei University of Arts and Science, Xiangyang441053, Hubei , China
  • 2Xiangyang Key Laboratory of Intelligent Manufacturing and Machine Vision, Xiangyang441053, Hubei , China
  • 3Xiangyang Zhongji Chuangzhan Intelligent Technology Co., Ltd., Xiangyang 441004 Hubei, China
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    References(33)

    [21] Zhang C, Hu P P, Zhu X W et al. Intelligent online detection of laser welding defects based on high density point clouds (invited)[J]. Chinese Journal of Lasers, 51, 0402105(2024).

    [28] Liao Z H, He M Q, Wu H et al. Point cloud segmentation algorithm for vehicle body components based on principle of density-proportional growth consistency[J]. Laser & Optoelectronics Progress, 61, 1415008(2024).

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    Qinghai Lü, Yang Zhao, Weiguo He, Hui Ouyang, Zhongren Wang. Research on Defect Detection Method for Power Battery Laser Welding Based on 3D Vision[J]. Laser & Optoelectronics Progress, 2025, 62(4): 0412008

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Jun. 6, 2024

    Accepted: Jul. 29, 2024

    Published Online: Feb. 18, 2025

    The Author Email:

    DOI:10.3788/LOP241442

    CSTR:32186.14.LOP241442

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