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Pattern Recognition Method for Detecting Engineering Errors on Technical Drawings
McDermott, Dept Elect & Instrumentat Control & Safety Syst, The Hague, Netherlands..
McDermott, Dept Instrumentat Control & Safety Syst, The Hague, Netherlands..
Chalmers Univ Technol, Dept Comp Sci & Engn, Gothenburg, Sweden..
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-7700-1816
2022 (English)In: 2022 IEEE World AI IoT Congress (AIIoT) / [ed] Paul, R, IEEE , 2022, p. 642-648Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE , 2022. p. 642-648
Keywords [en]
Artificial Intelligence, Deep Learning, engineering drawings, object recognition, Piping and Instrumentation Diagrams (P&IDs)
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mau:diva-55405DOI: 10.1109/AIIoT54504.2022.9817294ISI: 000848394800100Scopus ID: 2-s2.0-85134874888OAI: oai:DiVA.org:mau-55405DiVA, id: diva2:1704304
Conference
IEEE World AI IoT Congress (AIIoT), JUN 06-09, 2022, Seattle, WA
Available from: 2022-10-17 Created: 2022-10-17 Last updated: 2024-02-05Bibliographically approved

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Olsson, Helena Holmström

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