Final project for the Artifical Intelligence Techniques course at UNAL.
This project employs image filtering techniques to analyze basic quality on PCB production with milling.
-
Notifications
You must be signed in to change notification settings - Fork 0
aojedao/PCBMillQualityControl
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Final project for the Artifical Intelligence Techniques course at UNAL. Printed Wiring Boards milling quality is evaluated using morphology techniques in Python with OpenCV libraries.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published