Crack Detection on the Outer Body of the Aircraft

The detection of crack in an aircraft wing is very important for the safety and maintenance of the aircraft. Traditional methods like visual inspection and manual analysis leads to human error and is very time consuming. We are using Python and its strong libraries like OpenCV, OS, and NumPy to explore this study. Image processing helps us to identify the cracks present on the aircraft wing surface by analysing the images captured using cameras. This process includes Image acquisition that gives high-resolution images and then stored and managed using OS library to manage the files of the images. Crack detection, this is extracted using OpenCv it highlights the region containing cracks. The detected cracks are compared to the original uncracked surface and is intimated later on. Here, we use CNN algorithm to improve the performance of crack detection, compared to the traditional ways. CNN is used to detect complex and simple cracks as well present in the aircraft wings. This enables for a faster inspection, signifying the safety and assurance of the aircraft.