Study of vision-based measurement of weld joint shape incorporating the neural network

被引：0
|
作者：
Bae, K.Y. [1 ]
Na, S.J. [1 ]
机构：
[1] Korea Advanced Inst of Science and, Technology, Taejon, Korea, Republic of
来源：
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture | 1994年 / 208卷 / B1期
关键词：
Expert systems - Neural networks - Sensory feedback - Thermal effects - Welding;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this study, a neural network was proposed and implemented for recognizing the laser stripe features from the image plane. A calibration scheme of corresponding image to the world position was also adopted for determining the sectional features of the welding distortion. The feasibility of determining the sectional features of the welding distortions. The feasibility of determining the welding distortion by the proposed vision-based system was demonstrated through the experiments with various types of specimen.
引用
收藏
页码：61 / 69
相关论文
共 50 条
  • [41] New Metric for Evaluation of Deep Neural Network Applied in Vision-Based Systems
    Bakhshande, Fateme
    Ameyaw, Daniel Adofo
    Madan, Neelu
    Soeffker, Dirk
    APPLIED SCIENCES-BASEL, 2022, 12 (07):
  • [42] Convolutional Neural Network for Monocular Vision-based Multi-target Tracking
    Kim, Sang-Hyeon
    Choi, Han-Lim
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2019, 17 (09) : 2284 - 2296
  • [43] Vision-based measuring of weld pool geometry in TIG welding
    Gao, Jinqiang
    Wu, Chuansong
    Jinshu Xuebao/Acta Metallurgica Sinica, 2000, 36 (12): : 1284 - 1288
  • [44] A recurrent emotional CMAC neural network controller for vision-based mobile robots
    Fang, Wubing
    Chao, Fei
    Yang, Longzhi
    Lin, Chih-Min
    Shang, Changjing
    Zhou, Changle
    Shen, Qiang
    NEUROCOMPUTING, 2019, 334 : 227 - 238
  • [45] Vision-based Traffic Sign Compliance Evaluation using Convolutional Neural Network
    Roxas, Edison A.
    Acilo, Joshua N.
    Vicerra, Ryan Rhay P.
    Dadios, Elmer P.
    Bandala, Argel A.
    PROCEEDINGS OF 4TH IEEE INTERNATIONAL CONFERENCE ON APPLIED SYSTEM INNOVATION 2018 ( IEEE ICASI 2018 ), 2018, : 120 - 123
  • [46] A vision-based inspection system using fuzzy rough neural network method
    Li, Meng-Xin
    Wu, Cheng-Dong
    Jin, Feng
    PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 3228 - +
  • [47] Convolutional Neural Network for Monocular Vision-based Multi-target Tracking
    Sang-Hyeon Kim
    Han-Lim Choi
    International Journal of Control, Automation and Systems, 2019, 17 : 2284 - 2296
  • [48] Graph Sequence Recurrent Neural Network for Vision-Based Freezing of Gait Detection
    Hu, Kun
    Wang, Zhiyong
    Wang, Wei
    Martens, Kaylena A. Ehgoetz
    Wang, Liang
    Tan, Tieniu
    Lewis, Simon J. G.
    Feng, David Dagan
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 29 (29) : 1890 - 1901
  • [49] Vision-based MAV Navigation in Underground Mine Using Convolutional Neural Network
    Mansouri, Sina Sharif
    Karvelis, Petros
    Kanellakis, Christoforos
    Kominiak, Dariusz
    Nikolakopoulos, George
    45TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2019), 2019, : 750 - 755
  • [50] A Vision-Based Neural Network Controller for the Autonomous Landing of a Quadrotor on Moving Targets
    Almeshal, Abdullah M.
    Alenezi, Mohammad R.
    ROBOTICS, 2018, 7 (04):
12345