Appraisal and refurbish of earthquake damage in buildings has, in the period of yore, been overloaded with a very towering quantity of unpredictability primarily since of lack of apposite guidelines that could regularly be practical by engineers, adjusters, and property owners. A enhanced and supplementary faithful inference of genuine incurred earthquake victims and consequently improved earthquake loss estimation models that rely on loss data from earthquake proceedings. This revolutionary discovery provides keen interest to many areas of applications. Even though UAV gives images with high resolution in a portable way, it can cover only small part of an image with some complications like high twist. Hence, it is not used worldwide. The traditional procedure does not furnish adequate outcome for such images. This manuscript temporarily summarizes consequences of the CUREE Earthquake Damage appraisal project and illustrates the development that significance of these guidelines could bring to the loss estimation process. The proposed research work is a novel object based procedure for detection using UAV images that can conquer and utilize large declaration of an image. It is classified into five blocks: pre-process, matching of an image, segmenting an image, detection and precision estimate.