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G-ID: Identifying 3D Prints Using Slicing Parameters

Mustafa Doga Dogan, Faraz Faruqi, Andrew Day Churchill, Kenneth Friedman, Leon Cheng, Sriram Subramanian, Stefanie Mueller

2020Year
46Citations
11Top-tier citations

Abstract

Figure 1. 3D printed objects inherently possess surface patterns due to the angle of the print path and the thickness of the trace the 3D printer lays down. G-ID exploits such features that would normally go unnoticed to identify unique instances of an object without the need to embed an obtrusive, additional tag. G-ID provides (a) a user interface for slicing individual instances of the same object with different settings and assigning labels to them. After (b) 3D printing, users can (c) identify each instance using the G-ID mobile app that uses image processing techniques to detect the slicing parameters and retrieve the associated labels.

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