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

Document Type

Article

Publication Date

5-9-2002

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. © 2002 Elsevier Science Ltd. All rights reserved.

Identifier

0036240407 (Scopus)

Publication Title

Control Engineering Practice

External Full Text Location

https://doi.org/10.1016/S0967-0661(01)00151-4

ISSN

09670661

First Page

347

Last Page

361

Issue

3

Volume

10

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