Defect Detection In Vehicle Painting: Case Study

Defect detection is a cross-sectoral problem that is being intensively addressed in manufacturing, primarily with the help of computer vision and image processing-based systems. From fabric to surface to mechanical parts, defect detection approaches have assisted human operators and reduced human eye strain. However, many case-specific challenges arise in vehicle painting. Although few authors have addressed them, research is still active due to the high-quality demand and competition in manufacturing. In this study, we present a case study on paint defect detection in IVECO vehicle production, listing the problem description, challenges, literature review, and proposed solution.