APPLICATION OF MACHINE LEARNING FOR DETECTION OF LEAKAGE IN DRAIN PIPES BY INFRARED CAMERA

Abstract

Drain of rain water plays a very important role for the prevention of corrosion for either of steel and concrete structures. This study aims at developing water leakage detection system. In particular, this study focuses on the elbow of the drain pipes. Some experiments were carried out with the cracked and no-cracked specimens of poly-vinyl chloride water drain pipes. An infrared camera was employed to take thermal images. Four algrithms of the machine learning were applied. Those were random forest, AdaBoost, XGBoost, and convolutional neural network(CNN). AI learners were established by about 500 teacher data. AdaBoost showed the best performance of F value of 0.75, and CNN showed the second best performance of 0.73.