Abstract
Nowadays, the increase of technical drawings in different industries such as construction, mechanical and the energy sector makes the task of information analysis and interpretation more complex and fastidious. In this context, the automatic digitization of these drawings is becoming important. Piping and instrumentation diagram (P&ID) is a type of engineering drawing where the flow and components are represented by lines, texts and symbols. In this paper, we propose an industrial research approach in order to detect symbols, texts and lines. We focus on the application of recent computer vision and natural language processing techniques to automatically detect and recognize the different components. First experimental results on real-world data show that the proposed pipeline can achieve competitive results.
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Hantach, R., Lechuga, G., Calvez, P. (2021). Key Information Recognition from Piping and Instrumentation Diagrams: Where We Are?. In: Barney Smith, E.H., Pal, U. (eds) Document Analysis and Recognition – ICDAR 2021 Workshops. ICDAR 2021. Lecture Notes in Computer Science(), vol 12917. Springer, Cham. https://doi.org/10.1007/978-3-030-86159-9_36
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DOI: https://doi.org/10.1007/978-3-030-86159-9_36
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