Overview
This project focused on automating first-pass visual inspection for repeatable part geometries using a calibrated camera setup.
Problem
Manual inspection was inconsistent during high throughput, and small defects were sometimes missed until downstream checks.
What I built
- Controlled capture setup and calibration workflow
- Image preprocessing for lighting normalization and edge enhancement
- Geometric checks and tolerance rules for pass/fail decisions
- Exported inspection snapshots for operator validation and audit
Outcome
The pipeline improved consistency of defect flagging and reduced the amount of repetitive manual checks required per batch.
Next improvements
- Add active learning loops from operator-confirmed false positives
- Expand support for additional part families
- Add dashboard metrics for defect trend monitoring