Please use this identifier to cite or link to this item: https://oar.a-star.edu.sg/jspui/handle/123456789/2336
Title: Automating the Visual Inspection of Aircraft
Other Titles: Singapore Aerospace Technology and Engineering Conference (SATEC) 2018
Authors: Rice, Mark
Li, Liyuan
Ying, Gu
Wan, Marcus
Lim, Eng Thiam
Feng, Gao
Ng, Jamie
Teoh Jin-Li, Melissa
Babu, V. Shana
Issue Date: 7-Feb-2018
Abstract: During pre-flight inspection, technical competency is required to identify obstructions and observable damage that may impact on the airworthiness of aircraft. This can be challenging for ground crew who may be limited by time, manpower, or views of an aircraft. In this paper, we describe an R&D project that is designed to visually inspect the surface of aircraft using commercially available cameras. Providing a high-level description, we touch on some of the approaches used to identify different types of surface defects, including how this information is visualized back to the end user. The goal of this research is to work towards a more automated process of inspection using computer vision solutions. Subsequently, with an industry focused on reducing manpower and operational costs, the ability to automate the detection and documentation of aircraft defects is a relevant and timely issue.
URI: http://oar.a-star.edu.sg:80/jspui/handle/123456789/2336
Appears in Collections:Institute for Infocomm Research

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