Experimental investigation of human and machine-vision arrangements in inspection tasks

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

The traditional job of a quality control inspector, whether human or a machine-vision device, is to discriminate products into acceptable and non-acceptable items. The performance of inspectors can be measured in terms of rejecting non-acceptable items (Type I error) or classifying non-acceptable items as acceptable (Type II error). Reinspection is often used afterward to remedy this situation if required. Unfortunately, all such inspections remain prone to errors. This paper uses an experimental investigation to research the various ways in which the positive attributes of human and machine-vision inspection systems can be arranged to achieve enhanced system performance in industrial inspection tasks.

Original languageEnglish (US)
Pages (from-to)347-361
Number of pages15
JournalControl Engineering Practice
Volume10
Issue number3
DOIs
StatePublished - May 9 2002

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Keywords

  • Experimental investigation in inspection
  • Human and machine-vision collaboration
  • Pairing human and machines
  • Quality assurance engineering

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