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
Parents
16
Lily Huang, Diane Beauchemin · Journal of Analytical Atomic Spectrometry · 2017 · 25 citations
Engineering, Automotive Engineering, Analytical Chemistry +11
1–5 of 16
62
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 62
26
State Key Laboratory of Automotive Simulation and Control
Changchun, China
2 h-index
2 publications
78 citations
Amirkabir University of Technology
Tehran, Iran
2 h-index
7 publications
132 citations
Jilin University
Changchun, China
2 h-index
13 publications
519 citations
Jilin Province Science and Technology Department
Changchun, China
2 h-index
8 publications
312 citations
Fraunhofer Institute for Ceramic Technologies and Systems
Dresden, Germany
1 h-index
1 publications
32 citations
University of Kentucky
Lexington, United States
1 h-index
3 publications
45 citations

University of Science and Technology Beijing
Beijing, China
1 h-index
4 publications
100 citations

University of Central Florida
Orlando, United States
1 h-index
2 publications
40 citations
1–8 of 26
2 publications · 78 citations
2
h-index
JAAS · 1 publications · 25 citations
1
h-index
1 publications · 15 citations
1
h-index
JCTR · 1 publications · 32 citations
1
h-index
1 publications · 13 citations
1
h-index
1–5