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Augmented Reality for Pack Optimization using Video and Depth Data

Augmented Reality (AR) can be used in intra-logistics to optimize packing processes towards shipping less unused space by calculating and visualizing efficient pack schemas. This work describes the prototype of such a system using a Kinect v2. Based on the delivered RGB-D stream detection and tracking algorithm applied particle filters, tracks boxes and articles. Further, the tracking approach can check if an article is placed correctly in the box. A qualitative assessment of the prototype in a warehouse revealed that such a system only useful for unexperienced packers.