Seems a very useful capability.
Algorithm Learns to Correct 3D Printing Errors
University of Cambridge (U.K.)
August 16, 2022
An algorithm developed by researchers at the U.K.'s University of Cambridge can be added to new or existing three-dimensional (3D) printers to enable real-time error detection and correction across different materials and printing systems. The Deep Learning computer vision model was trained with about 950,000 images from the production of 192 printed objects, with labels detailing the printer's speed, nozzle temperature, and flow rate, among other settings. Said University of Cambridge's Sebastian Pattinson, "Once trained, the algorithm can figure out just by looking at an image which setting is correct and which is wrong; is a particular setting too high or too low, for example, and then apply the appropriate correction. And the cool thing is that printers that use this approach could be continuously gathering data, so the algorithm could be continually improving as well." ...
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