Real‐time quality control of surgical material packaging by artificial vision

Real‐time quality control of surgical material packaging by artificial vision Purpose – In the last years, artificial vision systems have widely spread among quality control processes in many industries. In this paper we present an artificial vision system that automatically inspects sachets of surgical material in real‐time. These sachets are difficult to inspect by an artificial vision system due to high variability in their visual aspect and the material they are made of (aluminium and plastic) which can provoke a lot of reflections and shadows. Design/methodology/approach – Due to variability of sachets and reflections in aluminium and plastic, the design of a good illumination system is very important for the success of the system. For that reason, we have used two sources of illumination, a dark field illumination and a diffuse frontal one, to avoid reflections and enhance important visual features. Moreover, the output of the system is not only the classification of the sachets as correct or defective, but it also identifies the sachet defect among the fifteen possible ones, a useful feature for just in time production. The proposed system is based on a PC modular and scalable architecture. Findings – The system is currently working in actual production fulfilling the problem requirements with respect to false positive and false negative, in spite of the high variability of the product. Originality/value – The system proposes two different kind of illumination systems to inspect difficult materials, such as plastic and aluminium, achieving good results. The proposed architecture of the system is modular and scalable and allows to increase computational power for visual tasks. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Assembly Automation Emerald Publishing

Real‐time quality control of surgical material packaging by artificial vision

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Publisher
Emerald Publishing
Copyright
Copyright © 2005 Emerald Group Publishing Limited. All rights reserved.
ISSN
0144-5154
DOI
10.1108/01445150510610944
Publisher site
See Article on Publisher Site

Abstract

Purpose – In the last years, artificial vision systems have widely spread among quality control processes in many industries. In this paper we present an artificial vision system that automatically inspects sachets of surgical material in real‐time. These sachets are difficult to inspect by an artificial vision system due to high variability in their visual aspect and the material they are made of (aluminium and plastic) which can provoke a lot of reflections and shadows. Design/methodology/approach – Due to variability of sachets and reflections in aluminium and plastic, the design of a good illumination system is very important for the success of the system. For that reason, we have used two sources of illumination, a dark field illumination and a diffuse frontal one, to avoid reflections and enhance important visual features. Moreover, the output of the system is not only the classification of the sachets as correct or defective, but it also identifies the sachet defect among the fifteen possible ones, a useful feature for just in time production. The proposed system is based on a PC modular and scalable architecture. Findings – The system is currently working in actual production fulfilling the problem requirements with respect to false positive and false negative, in spite of the high variability of the product. Originality/value – The system proposes two different kind of illumination systems to inspect difficult materials, such as plastic and aluminium, achieving good results. The proposed architecture of the system is modular and scalable and allows to increase computational power for visual tasks.

Journal

Assembly AutomationEmerald Publishing

Published: Sep 1, 2005

Keywords: Illuminance; Quality control; Inspection; Visual perception

References

  • Image Analysis and Mathematical Morphology
    Serra, J.

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