Automated & innovative surface crack detection & length estimation technique for infrastructure inspection work / Syahrul Fithry Senin ... [et al.]

Senin, Syahrul Fithry and Ahmad, Juhaizad and Rosli, Mohd Ikmal Fazlan and Yusuff, Amer and Rohim, Rohamezan and Abdul Ghani, Kay Dora and Mohamed Noor, Suhailah (2019) Automated & innovative surface crack detection & length estimation technique for infrastructure inspection work / Syahrul Fithry Senin ... [et al.]. In: Academic Intellectual International Invention, Innovation & Design Book. Universiti Teknologi MARA, Kedah, Universiti Teknologi MARA, Kedah, p. 159. ISBN 9789670314716

Abstract

The current surface crack detection and length estimation during infrastructure inspection work is initially conducted by the visual inspection method. The accuracy of this method on accessing the crack feature property is significantly depend on various factors including the level of experience of the inspector. As a result, the assessment of such cracks by inexperienced inspector will arise varying results. This method also suffers from the time-consuming nature that contributes to substantial operational cost on evaluating the surface crack especially for large scale work. Therefore, an innovative technique that manipulating the Digital Image Processing was developed on detecting and estimating the surface crack length on infrastructure elements using camera. The thresholding algorithm was developed for the purpose of image processing using the MATLAB software. Using this technique, the surface cracked area on infrastructure can be detected appropriately from a certain camera distance and the crack length was estimated with small errors ranging from 0.5 to 4.62 % from the actual crack length.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Senin, Syahrul Fithry
syahrul573@ppinang.uitm.edu.m
Ahmad, Juhaizad
UNSPECIFIED
Rosli, Mohd Ikmal Fazlan
UNSPECIFIED
Yusuff, Amer
UNSPECIFIED
Rohim, Rohamezan
UNSPECIFIED
Abdul Ghani, Kay Dora
UNSPECIFIED
Mohamed Noor, Suhailah
UNSPECIFIED
Subjects: T Technology > TA Engineering. Civil engineering
T Technology > TA Engineering. Civil engineering > Building materials
Divisions: Universiti Teknologi MARA, Kedah > Sg Petani Campus
Page Range: p. 159
Keywords: Surface crack detection, innovative, digital image processing
Date: 2019
URI: https://ir.uitm.edu.my/id/eprint/96331
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