Case Study: a major Fortune 500 logistics company improves aircraft defect detection with Striveworks Chariot

Aircraft General Visual Inspection Using Chariot

A major Fortune 500 logistics company worked with Striveworks to modernize routine aircraft general visual inspections, which had traditionally been done manually by aircraft maintenance technicians. The company needed a faster, safer, and more consistent way to inspect grounded aircraft after severe weather and other events, while also reducing downtime and labor-intensive manual review.

Striveworks used its Chariot MLOps platform to build and deploy a computer vision solution that analyzed drone-captured 4K video with semantic image segmentation and tracking to detect dents on aircraft exteriors. The approach processed 49x more data per aircraft than manual inspection, cut data processing time by 50%, and identified 25% more dents, while achieving 75% recall on evaluation videos and improving precision through video-level tracking.