Real-time industrial visual inspection: A Review

A. D.H. Thomas, M. G. Rodd, J. D. Holt, Colin Neill

Research output: Contribution to journalArticle

66 Scopus citations

Abstract

This paper provides a review of state-of-the-art techniques and technologies associated with real-time automated visual inspection as applied in industrial situations. A survey of the most widely used machine vision algorithms is presented, with emphasis on those algorithms most suited to real-time application. Practical illumination schemes for real-time industrial inspection are also considered. The paper then focusses on areas which have received scant attention from the research community but which look set to become increasingly important in the next few years, namely system robustness and verification, including temporal verification.

Original languageEnglish (US)
Pages (from-to)139-158
Number of pages20
JournalReal-Time Imaging
Volume1
Issue number2
DOIs
StatePublished - Jan 1 1995

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All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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