GitHub / LanzDeGuzman / Real-Time-Additive-Manufacturing-FDM-Printer-Vision-Based-Fault-Detection-System
The fault detection system is centered on detecting errors that occur during 3d printing process, specifically the occurrence of blobs, cracks, spaghetti, stringing, and under-extrusion printing errors. The repository used CNN machine vision techniques, specifically YOLOv4 Tiny, to develop a fault detection model for real-time application.
Stars: 2
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 20.4 MB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: over 1 year ago
Pushed at: about 2 years ago
Last synced at: over 1 year ago
Topics: 3d-printing, machine-vision