Open AccessAutomated Verification of Structural Engineering Assembly using Convolution Neural Network
Author(s) -
S. Padmashree,
J Sushma.S.
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.c6124.069520
Subject(s) - computer science , field (mathematics) , artificial neural network , artificial intelligence , convolution (computer science) , process (computing) , convolutional neural network , software engineering , engineering drawing , systems engineering , machine learning , engineering , programming language , mathematics , pure mathematics
Artificial Intelligence has mostly penetrated in every field of technology and our lifestyle in numerous ways. The contribution of AI in the field of Civil engineering which mainly focuses on planning, design and construction is enormous. The main objective of this work is to develop a system that will automate the process of detecting errors in the engineering plans or drawings of structures. The work adapts convolution neural network technique with the help of Inception V3 model to automate detecting of multiple errors using Artificial Intelligence. AI technique has proven to be more effective, accurate and less time consuming against the existing manual verification technique.