Publication

Abstract :

This is an Open Access Journal / article distributed under the terms of the Creative Commons Attribution License (CC BY-NC-ND 3.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. All rights reserved. Deployment of culture among human beings fascinated their dwelling place from hard caves to smooth buildings with innovative models. Massive buildings with concrete mixings are erected for essential use to be maintained for several eras. Monuments and memories are preserved in solid structures without any damage to edify the creator fame. The endangers to be avoided are the pops called cracks from smaller level, if not removed may collapse the building after some time. So, to maintain building safety, cracks should be monitored and removed using some detection methods. This paper discusses hybrid method of convolutional neural network model along with pre trained models like Inception and ResNet model for crack detection. Of the three methods discussed, ResNet model shows highest accuracy up to 99% when compared with other methods.