AI-Powered Aircraft Inspection
XR inspection system that spots panel defects in real time and auto-generates the maintenance documentation that normally follows by hand. Domain: Aerospace maintenance.
The challenge
V-22 maintainers triage wiring, chafing, and thermal-damage defects manually, generating documentation overhead that slows inspection throughput.
The approach
HoloLens 2 XR application detects panel-level anomalies (clamps, ties, defects) in real time, then an N8N + PostgreSQL agent queries tech manuals via RAG and auto-generates standardized defect reports into live maintenance logs.
About this project
This project demonstration shows an AI inspection system that identifies clamps and ties on a simulated aircraft panel in real-time.
Role
Lead developer. Built the HoloLens 2 detection application and the RAG-backed reporting agent that writes standardized defect reports into the maintenance log.
Outcome
-25% documentation overhead
Technology and methods
- HoloLens 2
- Azure Custom Vision
- N8N
- PostgreSQL
- Claude API
- RAG
- NVIDIA Jetson
Related work
- AI-Powered Engine Quality Control - Real-time inspection system that catches missing and incorrectly installed engine components on the assembly line before they ship.
- HoloLens 2 Knee Replacement Surgery Guide - Mixed reality training app that walks medical students through total knee replacement in 3D, adapting to their decisions in real time.