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.
Python
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Raw Data from printer
#1 opened