Enterprise AR/IoT System - TATA Aerospace
Real-time defect detection for aerospace maintenance
Overview
Developed real-time defect detection system for aerospace MRO (Maintenance, Repair, Operations) achieving <100ms latency for video processing and AR overlay. Built in Unity (C#) with .NET Aspire cloud orchestration, complete solution deployable for 2 major airlines with TATA Aerospace.
Key Features
<100ms latency for real-time processing
HoloLens 2 AR client
Python-based AI defect detection
Azure cloud infrastructure
React management portal
Architecture
HoloLens 2 client with spatial mapping, .NET Aspire orchestration layer managing Azure Functions lifecycle, C# Unity client on HoloLens 2, ASP.NET Core management API, Python computer vision models, WebRTC for video streaming, CosmosDB for defect records, SignalR for real-time updates.
Technology Stack
Detailed technical blog post coming soon. This project showcases production-grade architecture and real-world problem solving.