Navy Experiments With Flight Line of the Future Tagging Technology

The Naval Air Warfare Center Aircraft Division (NAWCAD) recently conducted flight line of the future experimentation with artificial intelligence and machine learning technologies to independently identify and track aircraft on the flight line with tagging, commonly known as QR codes.
The technology promises to greatly improve aircraft readiness and maintenance turnaround time by providing more accurate location and status information for aircraft and related support equipment.
This experiment, designed to be representative of realistic fleet operations, is a follow-on to the 5G Identification of Support Equipment system experimentation (5GISE) completed in January 2022.
“After completing 5GISE, the engineers studied the current aircraft tracking method for departures and arrivals and devised a new approach,” said Kevin Larkins, NAWCAD Lakehurst Digital Engineering Division’s acting chief engineer.
This tagging technology uses software developed by the NAWCAD Lakehurst Digital Engineering Division’s software team and a camera placed at a fixed location. The information captured autonomously registers as an aircraft taxies through the camera’s field of view.
Initial experiment phases occurred in a lab setting. Through a collaboration with the U.S. Naval Test Pilot School, the NAWCAD Rapid Prototyping, Experimentation and Demonstration (RPED) team conducted advanced testing phases. This real-world environment presented opportunities to test the technology with T-6 and T-38 aircraft.
“We hope for this to be the first of many NAWCAD RPED project collaborations,” said Dan Bramos, NAWCAD RPED Maintenance and Logistics Experimentation Lead.
Tagging information can be integrated into other aspects of the flight line of the future, or maintenance and operations. NAWCAD RPED’s future concept involves integrating this technology into a user interface for previously experimented technologies such as a next-generation flight line tracking system.
Top Stories
INSIDERData Acquisition
University of Rochester Lab Creates New 'Reddmatter' Superconductivity Material...
INSIDERElectronics & Computers
MIT Report Finds US Lead in Advanced Computing is Almost Gone - Mobility...
INSIDERAerospace
Airbus Starts Testing Autonomous Landing, Taxi Assistance on A350 DragonFly...
INSIDERWeapons Systems
Boeing to Develop Two New E-7 Variants for US Air Force - Mobility Engineering...
INSIDERWeapons Systems
PAC-3 Missile Successfully Intercepts Cruise Missile Target - Mobility...
INSIDERPropulsion
Air Force Pioneers the Future of Synthetic Jet Fuel - Mobility Engineering...
Webcasts
Automotive
Driver-Monitoring: A New Era for Advancements in Sensor Technology
Manufacturing & Prototyping
Tailoring Additive Manufacturing to Your Needs: Strategies for...
Software
How to Achieve Seamless Deployment of Level 3 Virtual ECUs for...
Electronics & Computers
Specifying Laser Modules for Optimized System Performance
Aerospace
The Power of Optical & Quantum Technology, Networking, &...
Electronics & Computers
Leveraging Machine Learning in CAE to Reduce Prototype Simulation and Testing
Trending Stories
INSIDERResearch Lab
University of Rochester Lab Creates New 'Reddmatter' Superconductivity Material
INSIDERTest & Measurement
New Consortium to Develop Thermal Protection Materials for Hypersonic Vehicles
ArticlesData Acquisition
Multi-Agent RF Propagation Simulator
ArticlesMaterials
Low Distortion Titanium in Laser Powder Bed Fusion Systems
ArticlesAerospace
How to Test a Cognitive EW System