AI vision could find 3D-printed defects as they occur
Lawrence Livermore National Laboratory researchers (left to right): Data Scientist Michael Zelinski, Engineer Hamed Ziad Ammar and Principal Investigator Brian Giera and the direct-ink writing 3D printer they used to collect data for the camera-based 3d-print inspection system (Image: Blaise Douros / LLNL)
The system developed at LLNL measures 3D-printed objects during production, finding the fault and its source at the same time
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