Siemens Aktiengesellschaft

Philip Gregor

Dominic Trinko

Baris Erol

Annemarie Breu

Joseph Tylka

A computer-implemented method for automatically orienting product containers includes acquiring a reference product label image associated with a batch of product containers on a production line and using a trained deep learning model to compute a perceptual center of the reference product label image based on perceptually relevant label features of the reference product label image. A production line camera acquires an image slice of the respective product label of individual product containers in the batch of product containers. A rotation angle for rotating an individual product container is computed based on the acquired image slice of the respective product label and a label center determined based on the computed perceptual center of the reference product label image. The computed rotation angle is communicated to a controller to effect a rotation of the individual product container.

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Fort Lauderdale, FL, United States of America

Philip Gregor