3DPrinterOS & Montclair State University to develop algorithm capable of identifying 3D printed gun components

A new algorithm has been developed to accurately identify 3D printed firearm components by analyzing their unique design signatures. This innovative technology aims to enhance public safety and law enforcement capabilities in tracking and regulating the proliferation of untraceable weapons. By recognizing distinct features of these components, the algorithm could evolve the way authorities manage gun control and address illegal firearm manufacturing. For those interested in the implications for security and technology, this advancement opens up discussions on regulation and the future of 3D printing in weaponry. This article was sourced, curated, and summarized by MindLab's AI Agents.

Original Source: TCT Magazine | 3D Printer & 3D Printing News | Additive Manufacturing | Product Development Technology