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A prototype to recognise the drawing elements in construction drawings using artificial intelligence

The issues in two dimensional construction drawings that limit the integration and automation in construction among different phaseses of construction processes are identified. A framework designed in this study to recognise the drawing elements in construction drawing using artificial intelligence...

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Main Authors: Muthuveerappan, Chitrakala, Muhammad, Abdul Hakim, Abd. Majid, Muhd. Zaimi, Minhans, Anil
Format: Conference or Workshop Item
Published: 2011
Online Access:http://eprints.utm.my/id/eprint/45503/
http://dx.doi.org/10.1166/asl.2012.3789
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id my.utm.45503
record_format eprints
spelling my.utm.455032017-09-20T01:32:01Z http://eprints.utm.my/id/eprint/45503/ A prototype to recognise the drawing elements in construction drawings using artificial intelligence Muthuveerappan, Chitrakala Muhammad, Abdul Hakim Abd. Majid, Muhd. Zaimi Minhans, Anil The issues in two dimensional construction drawings that limit the integration and automation in construction among different phaseses of construction processes are identified. A framework designed in this study to recognise the drawing elements in construction drawing using artificial intelligence is briefly explained. The development of the element recognition prototype following the framework is highlighted. Finally, the performance of the element recognition prototype is tested against a commercial drawings consists thirty one drawing elements are validated. The prototype has successfully recognised. 2011 Conference or Workshop Item PeerReviewed Muthuveerappan, Chitrakala and Muhammad, Abdul Hakim and Abd. Majid, Muhd. Zaimi and Minhans, Anil (2011) A prototype to recognise the drawing elements in construction drawings using artificial intelligence. In: 2011 International Symposium On Mechanical Science And Technology. http://dx.doi.org/10.1166/asl.2012.3789
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
description The issues in two dimensional construction drawings that limit the integration and automation in construction among different phaseses of construction processes are identified. A framework designed in this study to recognise the drawing elements in construction drawing using artificial intelligence is briefly explained. The development of the element recognition prototype following the framework is highlighted. Finally, the performance of the element recognition prototype is tested against a commercial drawings consists thirty one drawing elements are validated. The prototype has successfully recognised.
format Conference or Workshop Item
author Muthuveerappan, Chitrakala
Muhammad, Abdul Hakim
Abd. Majid, Muhd. Zaimi
Minhans, Anil
spellingShingle Muthuveerappan, Chitrakala
Muhammad, Abdul Hakim
Abd. Majid, Muhd. Zaimi
Minhans, Anil
A prototype to recognise the drawing elements in construction drawings using artificial intelligence
author_facet Muthuveerappan, Chitrakala
Muhammad, Abdul Hakim
Abd. Majid, Muhd. Zaimi
Minhans, Anil
author_sort Muthuveerappan, Chitrakala
title A prototype to recognise the drawing elements in construction drawings using artificial intelligence
title_short A prototype to recognise the drawing elements in construction drawings using artificial intelligence
title_full A prototype to recognise the drawing elements in construction drawings using artificial intelligence
title_fullStr A prototype to recognise the drawing elements in construction drawings using artificial intelligence
title_full_unstemmed A prototype to recognise the drawing elements in construction drawings using artificial intelligence
title_sort prototype to recognise the drawing elements in construction drawings using artificial intelligence
publishDate 2011
url http://eprints.utm.my/id/eprint/45503/
http://dx.doi.org/10.1166/asl.2012.3789
_version_ 1643651759878438912
score 13.222552

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