Product Identification by Machined Micro Patterns
Berend Denkena*, Jörn Ostermann**, Jens Köhler*,
Tobias Mörke*, and Benjamin Spitschan**
*Institute of Production Engineering and Machine Tools, Leibniz Universität Hannover, An der Universität 2, 30823 Garbsen, Germany
**Institut für Informationsverarbeitung, Leibniz Universität Hannover, Appelstraße 9A, 30167 Hannover, Germany
Fast and secure component identification is one key requirement for automation technologies in manufacturing processes marked by high product diversity. In addition, critical or safety components have to be identified during maintenance even if exposed to harsh conditions during the time of operation. Furthermore, product specifications or information on its manufacturing process, commonly stored separately in databases or as a hardcopy, must be available at any point of the lifecycle. An advanced machining technology is presented, enabling to machine micro patterns carrying inherent data into the components surface. A piezo-electrically driven milling tool is shown, allowing for storage on face-milled components while employing productive machining parameters. The data can be retrieved fast and reliably by an optical readout method. Image processing algorithms allowing for the reconstruction of the stored information using a single monochrome camera image of the surface are presented.
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