Visual inspection by deep learning and machine learning

被引:0
|
作者
Nagata T. [1 ]
Hashimoto D. [1 ]
机构
[1] Information and Communication Research Division, Mizuho Information & Research Institute, Inc., 2-3, Kanda-Nishikicho, Chiyoda-ku, Tokyo
关键词
D O I
10.5104/jiep.23.271
中图分类号
学科分类号
摘要
[No abstract available]
引用
收藏
页码:271 / 274
页数:3
相关论文
共 50 条
  • [1] Streaming Machine Learning and Online Active Learning for Automated Visual Inspection
    Rozanec, Joze M.
    Trajkova, Elena
    Dam, Paulien
    Fortuna, Blaz
    Mladenic, Dunja
    IFAC PAPERSONLINE, 2022, 55 (02): : 277 - 282
  • [2] Machine learning approach for automated visual inspection of machine components
    Ravikumar, S.
    Ramachandran, K. I.
    Sugumaran, V.
    EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (04) : 3260 - 3266
  • [3] Machine Learning Approach to Visual Bridge Inspection with Drones
    Seo, Junwon
    Jeong, Euiseok
    Wacker, James P.
    STRUCTURES CONGRESS 2022, 2022, : 160 - 169
  • [4] Application of deep learning to visual inspection and research trends
    Kubota S.
    Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering, 2019, 85 (01): : 27 - 30
  • [5] Visual Product Inspection Based on Deep Learning Methods
    Kuric, Ivan
    Kandera, Matej
    Klarak, Jaromir
    Ivanov, Vitalii
    Wiecek, Dariusz
    ADVANCED MANUFACTURING PROCESSES (INTERPARTNER-2019), 2020, : 148 - 156
  • [6] Deep Machine Learning for Acoustic Inspection of Metallic Medium
    Jarreau, Brittney
    Yoshida, Sanichiro
    Laprime, Emily
    VIBRATION, 2022, 5 (03): : 530 - 556
  • [7] Visual inspection of mechanical components using visual imaging and machine learning
    Harishyam B.
    Jenarthanan M.P.
    Rishivanth R.
    Rajesh R.
    Sai Girish N.
    Materials Today: Proceedings, 2023, 72 : 2557 - 2563
  • [8] Machine Learning to Support Visual Inspection of Data: A Clinical Application
    Taylor, Tessa
    Lanovaz, Marc J.
    BEHAVIOR MODIFICATION, 2022, 46 (05) : 1109 - 1136
  • [9] Study of Visual Inspection for Liquid Pouches Using Deep Learning
    Hasegawa, Makoto
    Kogure, Hidenori
    Dobashi, Hironori
    35TH INTERNATIONAL TECHNICAL CONFERENCE ON CIRCUITS/SYSTEMS, COMPUTERS AND COMMUNICATIONS (ITC-CSCC 2020), 2020, : 426 - 430
  • [10] Automated optical inspection based on synthetic mechanisms combining deep learning and machine learning
    Lo, Chung-Ming
    Lin, Ting-Yi
    JOURNAL OF INTELLIGENT MANUFACTURING, 2024,