Northrop Grumman
AI quality inspection of F-35 avionics modules
Northrop Grumman used AI to flag defects in completed F-35 avionics modules
Problem
F-35 communications, navigation and identification modules required detailed quality checks before shipment. Small defects could compromise the quality of completed units.
Approach
Northrop Grumman incorporated AI-driven inspection into its module production process. The systems analyzed completed units and flagged potential issues before they left the factory. Manufacturing manager Lavell Catlin said the tools helped identify very small defects.
Results
No published figures
Takeaway
The company reported a quality benefit without publishing defect-rate measurements. Time savings reported for a separate bolt-installation cobot did not measure the AI inspection system.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer vision
- Adoption
- Built in-house
- Goal
- Quality and risk
- Evidence
- Company's own claim
Sources
Source summaries
ASSEMBLY quoted Northrop Grumman's manufacturing manager on AI inspection of completed avionics modules. It separately described cobot fastening benefits, without quantifying the AI inspection's effect on defects.
Full details are in the original sources.