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Updated: Feb 13, 2026

Extraction of the EPP Component from the Surface EMG
Published on: December 16, 2009
Using unique surface patterns of injection moulded plastic components as an image based Physical Unclonable Function
Benedikt Wigger1, Thomas Meissner2,3, Alexander Förste4
1Hahn-Schickard, Institute for Micro Assembly Technology, Stuttgart, Germany. Benedikt.Wigger@Hahn-Schickard.de.
Injection molded plastic components possess unique surface patterns, acting as a Physical Unclonable Function (PUF) for secure identification. These patterns are easily captured with a camera, offering a robust anti-counterfeiting solution.
Area of Science:
- Materials Science
- Security Engineering
- Additive Manufacturing
Background:
- Physical Unclonable Functions (PUFs) leverage unique physical properties for component identification and anti-counterfeiting.
- Current PUF technologies often require specialized hardware or complex fabrication processes.
Purpose of the Study:
- To investigate the potential of using inherent surface patterns of injection molded plastic components as a PUF.
- To demonstrate a simple and accessible method for capturing these unique surface patterns for identification.
Main Methods:
- Analysis of surface patterns on 200 injection molded components made from two distinct plastic materials.
- Utilizing a simple camera setup to photograph and record the unique surface topographies.
- Conducting preliminary robustness tests against common environmental conditions.
Main Results:
- The study confirmed that surface patterns on injection molded plastic components are inherently unique, suitable for PUF applications.
- Photographic capture with a basic camera setup proved effective for accessing these unique identifiers.
- Initial tests indicated promising robustness of the surface patterns under simulated real-world conditions.
Conclusions:
- Injection molded plastic surface patterns can serve as a cost-effective and reliable PUF for secure component identification.
- This method offers a label-free and accessible approach for anti-counterfeiting and component authentication.
- The findings suggest potential applications in secure tracking and verification of manufactured goods.
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