Application of UAV and Csp1 matrix for building inspection at muzium negeri, seremban

Abstract

Building inspection is really essential to determine the condition of a building and one of the key components of building maintenance. To determine the defect, visual inspection will be conducted as early phase of building inspection. Usually, binocular and camera will be used as main devices in visual inspection. This research aims to study Museum Negeri defects at exterior structure especially the roof structure by using the Unmanned Aerial Vehicles (UAV) or as known as Drone. The data collected will be analyzed using Condition Survey Protocol 1 Matrix to obtain an overall rating of the building’s condition. The process involved in this study are site visit, planning and preparation before the flight, data collection using UAV, image processing and analyzing data from image. The results of analysis, a total numbers of 53 locations have been identified and documented suffer from defects or faults such as cracking, corrosion and wall perforated. All defects information obtained using UAV visual inspection can help the museum maintenance to do maintenance work. The overall condition of this building structure is 5, where the overall performance of the building is fair.