Abstract
To assure the safety and efficiency of components used in aviation industry, the area of aerospace business process validation relies on stringent protocols. The qualification process is multifaceted as it entails multiple phases and application of Image processing and pattern recognition techniques in analysing and assessing component quality and integrity according to industry standards. This paper introduces an approach that integrates user interface and UX design principles to optimize the processes for enhanced traceability and progression tracking in qualification lifecycle and the outcomes of image processing and pattern recognition applications. The goal is to transform algorithmic outcomes into intelligible visual representations, promoting informed decision-making by combining agile approaches with user-centred design concepts for AddQual Qualification process. AddQual is a UK based company that specializes in providing advanced quality solutions for the aerospace industry, offering expertise in material testing and component qualification. This project illustrates the successful implementation of through a series of case studies. It results in an average 86% usability score and 83% more effective at reducing errors.
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Eyisi, K., Khayam, K.N., Khan, W.A., Hussain, M., Zada, M.S.H., Anderson, B. (2024). UI/UX for Aerospace Qualification Business Processes. In: Santosh, K., et al. Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2023. Communications in Computer and Information Science, vol 2027. Springer, Cham. https://doi.org/10.1007/978-3-031-53085-2_29
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