Improvement of UAV Based an Evaluation Approach to Mid-High Rise Buildings’ Exterior Walls

Abstract

This research will develop a set of assessment techniques and procedures for exterior wall deterioration detection. The proposed method is mainly based on equipped with high-resolution photographic equipment for unmanned aerial vehicle (UAV). To overcome the problems of visual inspection difficulties due to different angles and height, the proposed method provides a safer and more efficient detection way to get the buildings’ exterior status. After using the proposed method to analyze the images taken from UAV, the size of the damaged area can be evaluated more accurately, and the accuracy rate of visual assessment will be significantly improved. The results of the proposed method can reduce the accidents caused by the inspection process in the critical environment and the costs incurred by the temporary facilities without sacrificing the quality of the inspection results. Then, the research will implement the existing visual assessment method because of the characteristics of rapid detection, however, the assessment results will be different from different inspectors due to subjectivity. Thus, the research will present an improved visual inspection method by using UAVand Forward Looking Infred Thermal technology (FLIR). The result will be presented by Condition Index (CI-Level) instead to improve the subjectivity of the personnel.