Real-time wavelet-based inline banknote-in-bundle counting for cut-and-bundle machines

Denis Petker; Volker Lohweg; Eugen Gillich; Thomas Türke; Harald Willeke; Jens Lochmüller; Johannes Schaede

doi:10.1117/12.872357

7 February 2011 Real-time wavelet-based inline banknote-in-bundle counting for cut-and-bundle machines

Denis Petker; Volker Lohweg; Eugen Gillich; Thomas Türke; Harald Willeke; Jens Lochmüller; Johannes Schaede

Author Affiliations +

Proceedings Volume 7877, Image Processing: Machine Vision Applications IV; 787703 (2011) https://doi.org/10.1117/12.872357
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

Automatic banknote sheet cut-and-bundle machines are widely used within the scope of banknote production. Beside the cutting-and-bundling, which is a mature technology, image-processing-based quality inspection for this type of machine is attractive. We present in this work a new real-time Touchless Counting and perspective cutting blade quality insurance system, based on a Color-CCD-Camera and a dual-core Computer, for cut-and-bundle applications in banknote production. The system, which applies Wavelet-based multi-scale filtering is able to count banknotes inside a 100-bundle within 200-300 ms depending on the window size.

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Denis Petker, Denis Petker, Volker Lohweg, Volker Lohweg, Eugen Gillich, Eugen Gillich, Thomas Türke, Thomas Türke, Harald Willeke, Harald Willeke, Jens Lochmüller, Jens Lochmüller, Johannes Schaede, Johannes Schaede, } "Real-time wavelet-based inline banknote-in-bundle counting for cut-and-bundle machines", Proc. SPIE 7877, Image Processing: Machine Vision Applications IV, 787703 (7 February 2011); doi: 10.1117/12.872357; https://doi.org/10.1117/12.872357

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