Abstract: 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.

Abstract: The invention relates to a method and a device for handling of disturbances in a filling and/or closing and/or post-processing installation for the pharmaceutical industry using a manipulator (14), wherein a path along which the manipulator (14) is moved for collision-free handle of the disturbance is planned in such a way that travel paths of the manipulator (14) which influence a primary air supply (5) of primary packaging means and/or of components of the filling and/or closing and/or post-processing installation which are in contact with the primary packaging means are minimized. The invention further relates to a filling and/or closing and/or post-processing installation and a computer program for a filling and/or closing and/or post-processing installation.

Abstract: 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.