AI-Powered Engine Quality Control
Real-time inspection system that catches missing and incorrectly installed engine components on the assembly line before they ship. Domain: Manufacturing.
The challenge
Manual engine QA misses missing or incorrectly installed components, exposing assembly lines to costly rework and field failures.
The approach
Real-time YOLOv8 inspection pipeline flags missing and misinstalled parts on live video feed, surfacing pass/fail decisions at the station.
About this project
This demonstration showcases a cutting-edge AI-powered inspection system that automatically detects missing and incorrectly installed engine components in real-time.
Technology and methods
- YOLOv8
- OpenCV
- Python
- NVIDIA Jetson
Related work
- AI Spark Plug Inspector - Real-time defect detector that marks each spark plug pass or fail on screen, giving line operators an instant verdict.
- AI-Powered Aircraft Inspection - XR inspection system that spots panel defects in real time and auto-generates the maintenance documentation that normally follows by hand.