Title

A System for Automatic Elevation Datum Detection and Hyperlinking of AEC Drawing Documents

Document Type

Conference Article

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract

In AEC (Architecture, Engineering & Construction) industry, drawing documents are used as a blueprint to facilitate the construction process. It also acts as a graphical language that helps to communicate ideas and information from one mind to another. A construction project generally contains huge number of such drawing documents. An engineer or architect often needs to refer various documents while creating a new one or marking irregularities in such documents. Elevation datum is one of such graphical representation medium for referring one document from another. It is a very difficult and time-consuming task to manually identify elevation datums and link the documents with respect to each datum. Here, our proposed method is aimed to overcome this hurdle. The suggested system will automatically find the elevation datums from the existing drawing documents and will also automate the hyperlinking mechanism to enable the engineer quickly navigate among different drawing files. We have achieved an overall accuracy of 96.71% for elevation datum detection and destination document text recognition on a fairly large sized database.

First Page

30

Last Page

42

DOI

10.1007/978-3-030-02284-6_3

Publication Date

1-1-2018

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