The startup has developed a mixed reality aircraft inspection system that accurately identifies and quantifies surface damage on airplanes. This technology reduces inspection time and enhances safety by providing critical technical data about damaged areas, streamlining maintenance processes in the aviation industry.
Funding
$2.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
DGFounders
Product
Problem
Aircraft skin inspections are time-consuming, prone to human error, and can lead to significant maintenance costs and potential flight delays. Traditional methods often lack precise damage identification and comprehensive documentation, hindering efficient maintenance processes.
Solution
AerinX offers a mixed reality (MR) solution that streamlines aircraft skin inspections, making them faster, more reliable, and better documented. The system uses stereoscopic 3D smartglasses to project structural and damage information onto the aircraft's surface, enabling maintenance engineers to precisely identify and register damages. By automating damage location determination and providing access to preloaded manufacturer SRM databases, AerinX reduces maintenance downtime, enhances data quality, and improves hangar utilization. The software supports both smartglass applications for inspections and Windows applications for office-based damage analysis and reporting.
Target Audience
AerinX targets airlines and MRO (Maintenance, Repair, and Overhaul) companies seeking to reduce maintenance time and costs, improve inspection accuracy, and enhance the operational availability of their aircraft.
Features
- Mixed reality application for MagicLeap/HoloLens2 projects frames, stringers, and previous damages onto the aircraft surface
- Capability to register newly discovered damages with precise location determination (aircraft section, ATA, frames, stringers)
- Automatic damage measurement and support for manual detection with computer vision
- Integration of manufacturer SRM database for damage assessment support
- Functionality for recording photos, videos, and voice memos associated with damages
- Offline usage support for inspections in areas with poor WiFi connectivity
- Windows application for browsing damage history, generating statistics, and creating work orders
- Damage visualization on 3D aircraft models
- Integration interfaces for external systems