Deep Learning Applied to 3D Printing Defect Detection
burhop · x · 2026-07-09
A study explores the use of deep learning for real-time defect detection during the 3D printing process, focusing on online identification and quality control in manufacturing environments. This research applies computer vision and deep learning to industrial inspection, specifically targeting the identification of 3D printing defects.
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