In this 11-minute interview with Jack Hsu, senior manager at Boeing Vancouver, get a behind-the-scenes look at how Boeing is developing technology capabilities with long-term applications for transforming aircraft maintenance and inspection.
Explore the making of Boeing’s Augmented Reality for Maintenance and Inspection project, which aims to enable more efficient and intuitive inspections of aircraft by visualizing key aircraft repair and maintenance records live and in 3D.
Learn how the team developed a machine learning (ML) algorithm to assist in this process and created synthetic aircraft images that trained the algorithm more accurately and cost-effectively than real-world data alone.
Q&A table of contents:
0:18 - Can you give us an overview on how you use augmented reality (AR) for aircraft inspection?
1:37 - What was the process for existing inspections?
2:42 - How did you use machine learning to solve your problems?
4:30 - What role did synthetic play?
5:21 - How did you generate synthetic data?
6:42 - Do you think synthetic images are necessary in the process?
7:06 - Did synthetic data help reduce costs?
7:46 - What other problems can synthetic data solve?
8:55 - What other use cases can you see in the aerospace industry?
9:59 - What was it like to work with Unity as a whole?
Learn more about Unity Computer Vision and Unity’s aerospace solutions.
