Human-in-the-loop approach to digitisation of engineering drawings
Fagan, Andrew and West, Graeme and McArthur, Stephen (2021) Human-in-the-loop approach to digitisation of engineering drawings. In: Scottish Informatics & Computer Science Alliance XAI 2021 Workshop, 2021-06-01 - 2021-06-01.
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Abstract
In the nuclear power industry, the high-performance black-box systems which are prevalent in modern AI research are difficult to match to applications which take advantage of their strengths. These systems generally require volumes of labelled or well formatted data, and will provide a high level of performance which cannot be easily understood, explained or audited. Indeed, most AI systems deployed in this industry are done so with constant oversight by a skilled human operator, negating many of their advantages in cost, speed and reliability. In many cases, the time taken to format data for these systems is prohibitive even when automation might be desirable. This paper presents a framework for deploying a variety of AI techniques to industries where human oversight is required. Instead of treating the user as an external element while automating the task, this framework incorporates them as an active participant in the process, augmenting their performance while leveraging their strengths to make the AI systems more reliable and user-friendly. The framework is concerned primarily with the problem of digitising Elementary Wiring Diagrams, an important class of engineering drawing. These are in regular use even as low-quality scans of paper documents, and while digitising them is desirable and has many potential benefits, the level of time investment required by skilled engineers is prohibitive. Mistakes in digitisation are also potentially costly, meaning that the skilled engineer must remain involved in the process.
ORCID iDs
Fagan, Andrew ORCID: https://orcid.org/0000-0001-9714-2096, West, Graeme ORCID: https://orcid.org/0000-0003-0884-6070 and McArthur, Stephen ORCID: https://orcid.org/0000-0003-1312-8874;-
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Item type: Conference or Workshop Item(Paper) ID code: 76744 Dates: DateEvent1 June 2021Published12 May 2021AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 10 Jun 2021 15:08 Last modified: 14 Nov 2024 01:27 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/76744