Engineering Document Intelligence for Aerospace Quality & Inspection

Aerospace suppliers receive engineering drawings, Purchase Orders (POs), and Quality Testing Procedures (QTPs) separately for each new part. Reviewing them separately causes delays, inconsistencies, and traceability gaps, while making audit and FAI documentation harder to prepare and verify.

• PO and drawing details had to be cross-checked manually every time to establish the correct part and project references. No single source of truth existed for which drawing matched which order.
• Dimensions, tolerances, GD&T, and drawing references had to be picked out of engineering drawings by hand. The process was slow and depended on the reviewing engineer catching every characteristic.
• Ballooning was done manually per drawing, with no consistent numbering or method across engineers. That made it hard to trust or audit later.
• Without standardized terminology, the same dimension or symbol could be labeled differently across drawings. That created confusion when cross-referencing parts.
• Quality checks lived in scanned QTP documents that had to be read and interpreted individually for each part. No searchable or structured record existed of what was verified.
• Drawing and quality information ended up in separate reports with no shared structure. Assembling a complete inspection or audit trail for a part took longer as a result.

ADEOS extracts data from drawings, POs, and QTPs into a single part reference, mapping every output against the approved component glossary to produce consistent, traceable reports.

• Engineering drawings are processed to extract dimensions, tolerances, GD&T, and other part requirements.
• Each drawing characteristic is ballooned to create a traceable reference for inspection.
• PO data is used to capture the part name and drawing details and establish the preliminary part reference.
• Extracted dimensions and symbols are mapped to standardized names from the approved component glossary.
• The mapped drawing data is structured into a template-based Dimension Report for production and inspection.
• Scanned QTPs are processed to extract the quality specifications and inspection requirements for each part.
• The extracted quality requirements are structured into a Quality Report for inspection teams to verify the required specifications.
• The Dimension and Quality Reports are compared with optical visualizer measurements to check whether the physical part meets the specified requirements.