Abstract: Automatic leakage detection and maintenance of superstructure is a challenging task in current civil frame work. Current detection standards require a detector to locate the target architecture location and visually appraise the superstructure condition. When the target location is impassable, lorgnette must be used to recognize the defects. This paper proposes a labour-intensive approach, by means of image processing which uses a robotic system to monitor and detect the superstructure frequently and execute independent leakage detection. This paper uses fuzzy KNN algorithm to detect water leakage in the building wall.
Keywords: Fuzzy KNN Algorithm; Image Processing; Labour Intensive Approach; Leakage Detection
| DOI: 10.17148/IJARCCE.2019.8526