Loading patent…
AssigneeOPTIMA pharma GmbH
InventorsMatthias Hofmann, Waldemar Mayer, Matthias Poslovski, Thomas Pospiech, Jürgen Rothbauer, Julian Schweigert, Florian Weippert
Estimating the term…
The invention relates to a method and a device for monitoring a filling and/or closing installation and/or a post-processing installation, in particular for the pharmaceutical industry, wherein an image of a transport, infeed and/or outfeed region (2, 3, 6) of the filling and/or closing and/or post-processing installation is taken using a camera system (10) and, wherein on the basis of the image, by use of an artificial intelligence model (AI model) (120) that is trained to detect primary packaging means in the transport, infeed and/or outfeed region (2, 3, 6) and to classify detected primary packaging means, it is determined in which image positions primary packaging means are present, and detected primary packaging means are assigned to a class. The invention further relates to a filling and/or closing installation and/or post-processing installation and to a computer program for monitoring a filling and/or closing installation and/or post-processing installation.
A method for monitoring a filling and/or closing and/or post-processing installation, wherein an image of a transport, infeed and/or outfeed region of the filling and/or closing and/or post-processing installation is taken using a camera system and, wherein on the basis of the image, by use of an artificial intelligence model (AI model) that is trained to detect primary packaging means in the transport, infeed and/or outfeed region and to classify detected primary packaging means, it is determined in which image positions primary packaging means are present, and detected primary packaging means are assigned to a class, wherein the camera system is arranged above the transport, infeed and/or outfeed region, offset from the transport, infeed and/or outfeed region in such a manner that a primary air supply to the transport, infeed and/or outfeed region is not disturbed by the camera system, an optical axis of the camera system being inclined with respect to a vertical axis.
A device for monitoring a filling and/or closing installation and/or post-processing installation, comprising a camera system configured to take an image of a transport, infeed and/or outfeed region of the filling and/or closing installation and/or post-processing installation, and a computing unit comprising an artificial intelligence model (AI model) that is trained to detect primary packaging means in the transport, infeed and/or outfeed region and to classify detected primary packaging means, the computing unit being configured to determine on the basis of the image, by use of the AI model, in which image positions primary packaging means are present, and to assign detected primary packaging means to a class, wherein an optical axis of the camera system is inclined with respect to a vertical axis, such that the camera system can be arranged above the transport, infeed and/or outfeed region, offset from the monitored transport, infeed and/or outfeed region in such a manner that a primary air supply to the transport, infeed and/or outfeed region is not disturbed.
A filling and/or closing installation and/or post-processing installation, the installation comprising a transport, infeed and/or outfeed region and a device for monitoring, the device comprising a camera system configured to take an image of said transport, infeed and/or outfeed region of the filling and/or closing installation and/or post-processing installation, and a computing unit comprising an artificial intelligence model (AI model) that is trained to detect primary packaging means in the transport, infeed and/or outfeed region and to classify detected primary packaging means, the computing unit being configured to determine on the basis of the image, by use of the AI model, in which image positions primary packaging means are present, and to assign detected primary packaging means to a class,
A tangible, non-transitory computer-readable medium comprising program instructions that are executable by one or more processors such that one or more processors are configured to determine, on the basis of an image of an infeed of a filling and/or closing and/or post-processing installation, by use of an artificial intelligence model (AI model) that is trained to detect primary packaging means in the infeed and to classify detected primary packaging means, in which image positions primary packaging means are present, and to assign detected primary packaging means to a class;
Dependencies are inferred from the claim text.