Ryan Cole explores how manufacturers revolutionize quality control by generating photorealistic training images from CAD files instead of photographing real parts. Using Blender and CPU clusters, engineers simulate defects and lighting to create automatically-labeled datasets, eliminating costly annotation while achieving 70% reduction in real data requirements. This synthetic approach democratizes AI inspection for low-volume manufacturing.

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