Analysing engineering tasks using a hybrid machine vision and knowledge based system application

Kaloskampis, Ioannis ORCID: https://orcid.org/0000-0002-4450-4935, Hicks, Yulia Alexandrovna ORCID: https://orcid.org/0000-0002-7179-4587 and Marshall, Andrew David ORCID: https://orcid.org/0000-0003-2789-1395 2011. Analysing engineering tasks using a hybrid machine vision and knowledge based system application. Presented at: 12th IAPR Conference on Machine Vision Applications (MVA 2011), Nara, Japan, 13-15 June 2011. Proceedings of the 12th IAPR Conference on Machine Vision Applications MVA 2011. Tokyo, Japan: MVA Organisation, pp. 495-498.

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Abstract

We propose a novel application that automatically analyses video sequences arising from the conceptual stage of design engineering tasks. It is capable of handling cognitive activities, i.e. procedures which take place in the engineer’s mind. A hybrid machine vision and knowledge based system framework is employed to efficiently identify stages of the design process and detect mistakes. Activity analysis is performed by examination of the temporal relationships between the engineer’s actions. Experimental results captured in a complex, real life scenario showed that our system was able to correctly characterise input sequences with high accuracy rate.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Schools > Computer Science & Informatics Schools > Engineering
Subjects:	T Technology > T Technology (General)
Publisher:	MVA Organisation
ISBN:	9784901122115
Last Modified:	21 Oct 2022 10:07
URI:	https://orca.cardiff.ac.uk/id/eprint/39128

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