An intelligent system for real time automatic defect inspection on specular coated surfaces

Jinhua Li, Johne M. Parker, Zhen Hou

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


Product visual inspection is still performed manually or semi automatically in most industries from simple ceramic tile grading to complex automotive body panel paint defect and surface quality inspection. Moreover, specular surfaces present additional challenge to conventional vision systems due to specular reflections, which may mask the true location of objects and lead to incorrect measurements. There are some sophisticated visual inspection methods developed in recent years. Unfortunately, most of them are highly computational. Systems built on those methods are either inapplicable or very costly to achieve real time inspection. In this paper, we describe an integrated low-cost intelligent system developed to automatically capture, extract, and segment defects on specular surfaces with uniform color coatings. The system inspects and locates regular surface defects with lateral dimensions as small as a millimeter. The proposed system is implemented on a group of smart cameras using its on-board processing ability to achieve real time inspection. The experimental results on real test panels demonstrate the effectiveness and robustness of proposed system.

Original languageEnglish
Pages (from-to)1389-1397
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Issue number3
StatePublished - 2005
EventVisual Communications and Image Processing 2005 - Beijing, China
Duration: Jul 12 2005Jul 15 2005


  • Intelligent system
  • Real time
  • Surface inspection

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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