Automated Aircraft Exterior Inspection


Aircraft exterior inspection is the starting point for safe operation and responsible maintenance.



Non-contact exterior defect detection
Precisely scan exterior condition without physical contact with the aircraft using high-resolution cameras and sensors
Gate/Hangar-type structure
Video sensors installed in a gate or hangar configuration to inspect the exterior as the aircraft passes through
Automated scan and data acquisition
Automatically scan the entire exterior and acquire image data as the aircraft passes through, providing basic data for AI-based defect analysis

Aircraft history management dashboard
Visualizes defect trends, maintenance history, and operating hours for each aircraft to support aircraft health and lifespan prediction
AI-analysis-based automatic defect judgment
AI deep learning algorithm analyzes exterior image data to automatically judge defects
Ensuring inspection results and traceability
Provides clear evidentiary data for root cause analysis and accountability by tracing data at the time of inspection
Visualization of before/after service status
Visually presents an intuitive image comparison of the aircraft's exterior condition before and after maintenance or specific service performance
How to use

Aircraft landing and positioning
Aircraft passing designated inspection location (gate, hangar, etc.)


Automated exterior scan
Acquire data by scanning key areas of the aircraft from multiple angles using onboard vision sensors


AI Analysis
Determine defects by AI analysis of collected images


Generate defect report
Automatically save inspection results and generate reports
Customer value

Up to 87.5% reduction in arrival/departure inspection time
- Exterior inspection time: 4 hours per aircraft → 0.5 hours
- Annual savings of approximately 17,500 hours + significantly improved efficiency of maintenance personnel resources

Clearer accountability through objective exterior inspection
- Quantitative recording of defects such as damage, separation, cracks, etc., through automated scan after landing
- Distinction between damage occurring during maintenance vs. during operation → Minimization of claim disputes

Improved maintenance quality through before and after service comparison
- Provision of visualized reports based on arrival/departure data
- Ensures maintenance quality history + enables analysis of recurring anomaly patterns
Use case

AAM/UAM Operators
Automated exterior inspection immediately after landing

Vertiports and Maintenance Facilities
Record of before and after maintenance status comparison

Heliport-based Air Transport Operators
Automated inspection process
for aircraft arrival and departure

Aircraft Sharing
Automatic recording of damage timestamp
