Vernal<p>ok this is pretty sick</p><p>"A new artificial intelligence system pinpoints the origin of 3D printed parts down to the specific machine that made them."</p><p>"King’s research group developed an AI model to identify production fingerprints from photographs taken with smartphone cameras. The AI model was developed on a large data set, comprising photographs of 9,192 parts made on 21 machines from six companies and with four different fabrication processes. When calibrating their model, the researchers found that a fingerprint could be obtained with 98% accuracy from just 1 square millimeter of the part’s surface. </p><p>“Our results suggest that the AI model can make accurate predictions when trained with as few as 10 parts,” King said. “Using just a few samples from a supplier, it’s possible to verify everything that they deliver after.” "</p><p><a href="https://grainger.illinois.edu/news/stories/75700" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">grainger.illinois.edu/news/sto</span><span class="invisible">ries/75700</span></a></p><p><a href="https://sunny.garden/tags/3dPrinting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>3dPrinting</span></a></p>