Yes that would probably work. There could be some essential features of weapon parts that an algorithm might still be able to learn, and a printer could also keep track of previously printed parts for the classification. I think its unlikely that there are essential features of gun parts that are specific to gun parts so there would probably be a lot of false positives.
Yeah I’m thinking of an automated version of greebling. Except you design the extraneous bits so that they’re only attached to the intended print like print supports - something in a non-critical location, easily torn away.
Yes that would probably work. There could be some essential features of weapon parts that an algorithm might still be able to learn, and a printer could also keep track of previously printed parts for the classification. I think its unlikely that there are essential features of gun parts that are specific to gun parts so there would probably be a lot of false positives.
Yeah I’m thinking of an automated version of greebling. Except you design the extraneous bits so that they’re only attached to the intended print like print supports - something in a non-critical location, easily torn away.
I think a problem might be that the “easily broken away” might be a feature that an algorithm might be able to learn.