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AssigneeKrones AG
InventorAlexander HEWICKER
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To carry out a container inspection task, a sensor device optically detects sensor data and camera images relating to the container parts, and a real-time evaluation device evaluates spatially resolved sensor data in real time using a machine learning container inspection model which includes a set of parameters which are set to values which were learned as a result of a machine learning method. A set of container part features based on a machine learning method is predetermined, and the detected, spatially resolved sensor data are evaluated in relation to a plant inspection task different from the container inspection task, based on the predetermined set of container part characteristics, a plant inspection variable being determined depending on the inspection result of the carried out plant inspection task, which is provided for the control and/or regulation of the container treatment plant.
A method for operating a container treatment plant for treating a plurality of container parts for containers, wherein a transport device transporting the plurality of container parts as a container part stream along a predetermined transport path from at least one treatment device of the container treatment plant to at least one further treatment device of the container treatment plant, wherein in order to carry out a container inspection task, at least one sensor device detects sensor data relating to the container parts, and a real-time evaluation device evaluates the sensor data in real time using a machine learning container inspection model which comprises a set of parameters that are set to values which were learned as a result of a machine learning process,
A method for operating a container treatment plant for treating a plurality of container parts for containers, wherein a transport device transporting the plurality of container parts as a container part stream along a predetermined transport path from at least one treatment device of the container treatment plant to at least one further treatment device of the container treatment plant, wherein in order to carry out a container inspection task, at least one sensor device detects sensor data relating to the container parts and a real-time evaluation device evaluates the sensor data in real time using a machine learning container inspection model which comprises a set of parameters that are set to values which were learned as a result of a machine learning process,
A control device for a container treatment plant for treating a plurality of container parts for containers, wherein the container treatment plant having a transport device for transporting the plurality of container parts as a container part stream along a predetermined transport path from at least one treatment device of the container treatment plant to at least one further treatment device of the container treatment plant, wherein the container treatment plant having at least one sensor device for carrying out a container inspection task, which sensor device is configured for detecting sensor data relating to the container parts, preferably optically, and wherein the container treatment plant having a real-time evaluation device which is configured for evaluating the sensor data in real time using a machine learning container inspection model which comprises a set of parameters which are set to values that were learned as a result of a machine learning method,
Dependencies are inferred from the claim text.