UMA Platform Adaptation for Aerospace Metrology

Abstract

The UMA platform automates in-line and near-line inspection of large aerospace components, streaming measurement data into the MES and QMS for real-time traceability. High-precision laser scanners combined with machine learning turn a quality check into an automated, data-driven verification of whether a defect is present, which cuts manual inspection labour and the rework that follows from missing something. Rohit Khanna reports markedly improved inspection coverage and throughput in prototype tests, and makes the case for the approach as a scalable quality framework rather than a point solution.