Automated Multi-Camera Inspection System for Aircraft
Mark David Rice, Gu Ying, Kelvin Wei Lim, Qing Yu Hoo, Liyuan Li, Lee Jue Ying, Jacky Jie Wei Tan, Lai Xing Ng
Abstract
In this paper, we present the development of an automated visual inspection system designed to detect defects on the upper surface of an aircraft airframe. Specifically, the system employs a multi-camera PTZ (Pan-Tilt-Zoom) set-up to capture and process images from designated regions. Custom developed software manages path planning and camera localization, while a hybrid-AI framework is integrated to identify various defect types, including missing and damaged components. The demonstration highlights the system’s detection capabilities and prototype functionalities using a large aircraft model, supported by a user interface to monitor progress and visualize results. To help validate this work, performance evaluations were conducted using selected multimodal and object detection models.
BibTeX
@inproceedings{aaai2026_automatedmultica,
title = {Automated Multi-Camera Inspection System for Aircraft},
author = {Mark David Rice and Gu Ying and Kelvin Wei Lim and Qing Yu Hoo and Liyuan Li and Lee Jue Ying and Jacky Jie Wei Tan and Lai Xing Ng and Jamie Ng},
booktitle = {AAAI 2026},
year = {2026}
}