Paint Defect Detection

Paint Defect Detection is a computational method in painting robotics that identifies deviations from specified surface quality criteria by analyzing visual or sensor data to distinguish imperfections such as scratches, bubbles, or uneven coatings in automated painting processes.

16

Publications

358

Citations

62

Authors

26

Institutions

Publications per year

2017–2026

8

Authors

62

  1. JZ
    Jindong Zhang

    Jilin University, China

    2 publications · 78 citations

    2

    h-index

  2. TL
    Tong Liu

    Jilin University, China

    2 publications · 78 citations

    2

    h-index

  3. KZ
    Kunpeng Zhang

    Jilin University, China

    2 publications · 78 citations

    2

    h-index

  4. AA
    Ahmad Afshar

    Amirkabir University of Technology, Iran

    2 publications · 37 citations

    2

    h-index

  5. PK
    Parisa Kamani

    Amirkabir University of Technology, Iran

    2 publications · 37 citations

    2

    h-index

1–5 of 62

Venues

  1. Multimedia Tools and Applications

    2 publications · 78 citations

    2

    h-index

  2. Journal of Analytical Atomic Spectrometry

    JAAS · 1 publications · 25 citations

    1

    h-index

  3. 1

    h-index

  4. Journal of Coatings Technology and Research

    JCTR · 1 publications · 32 citations

    1

    h-index

  5. Forensic Science International

    1 publications · 13 citations

    1

    h-index

1–5