Flexible Connection of Cockpit Canopy Defect Detection Device Based on Machine Vision

Abstract

Abstract In this paper, a detection device for air bubbles, impurities and other defects inside the flexible connection of aviation aircraft canopy is designed. This device is mainly composed of prism, industrial camera, lighting and analysis software. The prism is repeatedly optimized using light tools optical simulation software to achieve the best imaging results. The internal situation of the glued surface of the entire cockpit canopy is realized by the stitching algorithm based on SURF algorithm with additional feature points on images. At the same time, the image processing method based on OpenCV is used to realize the intelligent detection of the bonding surface defects. Compared with manual visual inspection, the device can complete the image capture, quantitative analysis and health monitoring of the surface of the flexible connection, effectively ensuring flight safety. This detection device improves the detection efficiency by about 50%.