3D printer 'Fingerprints' improve security, IP protection with 92% accuracy

Thomas.net reported on the method developed by Zhangpeng Jin, associate professor of computer science and engineering, to determine a 3D printer's fingerprint, which could not only help identify machines used to make unlawful weapons but also help protect intellectual property. 

The research involves using the 3D printer's thermodynamic properties to create a ThermoTag, which is as unique as a human fingerprint. 

Associate professors Wenyao Xu, Department of Computer Science and Engineering, and Chi Zhou, Department of Industrial and Systems Engineering, are part of the research team.

Read the story here.